There’s a particular energy to mid-September in New York. Pumpkin spice lattes are flowing, temperatures are dropping, and it’s nearly sweater weather. The city is back at full speed, and so is the AWS launch calendar. This week that energy showed up in a new frontier model on Amazon Bedrock, a desktop app for Amazon Quick, and a reminder that the developers seeing the biggest gains from AI agents aren’t just using better tools — they’re working differently.

Let’s dive in.

Headlines
OpenAI GPT-6 Astra is now generally available on Amazon Bedrock – GPT-6 Astra is OpenAI’s latest and most capable model to date, and you can now run it on Amazon Bedrock. It brings deeper reasoning and judgment, professional-quality writing and design, and advanced computer and browser use to demanding business workflows. The model supports a context window of up to 1 million input tokens, so you can send it large codebases, long contracts, or extensive document collections and ask it to reconcile competing inputs.

You can call GPT-6 Astra through supported Amazon Bedrock APIs, or configure ChatGPT Work and Codex to use the model on Amazon Bedrock. Alongside the launch, OpenAI is introducing new enterprise plugins for ChatGPT Work that extend Astra’s browser-use capabilities across common business applications. Established AWS controls help you secure workloads, govern access, and audit model invocation activity, and your inference data isn’t used for model training. Read more

Last week’s launches
Here are some launches and updates from this past week that caught my attention:

• Amazon Quick desktop app is now generally available on macOS and Windows – The Amazon Quick desktop app brings Amazon Quick to your computer, where it can work with local files and stay connected to your calendar, email, and business apps in the background. Conversations, context, and agents stay synchronized across desktop and mobile, so work you start on one surface carries over to the other. With this release, Quick agents also keep running after you close your computer, which means you can start a long-running task before you leave the office, add input from the mobile app on the way home, and review the result when you get there. Existing Quick users can download the desktop app, and the mobile app is available from the Apple App Store and Google Play. Read more
• AWS Lambda now supports a 90-minute function timeout on Lambda Managed Instances – You can now configure a function timeout of up to 90 minutes for asynchronous and event source mapping (ESM) invocations on Lambda Managed Instances, a 6x increase from the previous 15-minute limit. That opens the door to data processing, media transcoding, financial calculations, AI inference, and batch jobs that need longer continuous execution, without splitting the work across multiple functions. Synchronous invocations keep the existing 15-minute maximum. The longer timeout also applies to steps inside Lambda durable functions, which can still run for up to a year when invoked asynchronously. Read more
• Amazon EBS Volume Clones now copies volumes across accounts – Amazon Elastic Block Store (Amazon EBS) Volume Clones can now copy a volume into another AWS account and re-encrypt it with an AWS Key Management Service (AWS KMS) key in the target account. If you keep production and development in separate accounts, you can share a volume with AWS Resource Access Manager (AWS RAM) and let the target account create a fresh copy in the same Availability Zone, for example, cloning a production database volume into an isolated development account. Cross-account copy works for all volume types, including unencrypted volumes and volumes encrypted with customer managed keys. Read more
• Second-generation single-rack AWS Outposts is now generally available – The new single-rack AWS Outposts is a self-contained 42U rack that puts compute, storage, and networking into one compact unit for locations that need low latency, local data processing, or data residency, and don’t have room for a larger footprint. A single rack delivers up to 2,688 vCPU and 100 TB of Amazon EBS storage, and supports the latest x86-powered Amazon EC2 instances, including general purpose (M7i, M8i), compute-optimized (C7i, C8i), memory-optimized (R7i, R8i), and Outposts accelerated networking instances. You get the same APIs, console, automation, governance, and security controls as multi-rack Outposts and AWS Regions. Read more
• Amazon OpenSearch Serverless is now available on v0 by Vercel – You can now describe a search or AI application in natural language inside v0 by Vercel and get a full-stack app backed by Amazon OpenSearch Serverless. v0 provisions a collection, indexes your data, and uses the OpenSearch Serverless endpoint for full-text search and vector search for retrieval-augmented generation (RAG) workloads, without leaving the v0 interface. OpenSearch Serverless scales capacity up and down for you, so you can focus on the application instead of cluster management. You can provision under a new AWS account or link an existing one. Read more
• AWS Transform for .NET modernization is now generally available via CLI – You can trigger an AWS-managed .NET modernization in AWS Transform custom with a single CLI command, then run it interactively or script it into an existing pipeline. The CLI sits alongside the existing AWS Transform for .NET experiences in the web application, Visual Studio IDE, Kiro Power, and MCP agents. Use it to upgrade language versions, migrate frameworks, optimize performance, and analyze codebases with transformations you can run as-is or customize. The .NET modernization transformation includes 50,000 free agent minutes per month. Read more

For a full list of AWS announcements, be sure to keep an eye on the What’s New with AWS page.

Other AWS news
Here are some additional posts and resources that you might find interesting:

• Clare Liguori on frontier engineering – If you already use an AI coding assistant but don’t feel like you’re shipping much faster, start here. Clare Liguori, Senior Principal Engineer at AWS, published a practitioner’s manifesto on frontier engineering: ten principles, drawn from teams across Amazon, for changing how you build software with AI agents. The argument is direct. Software development has split in two, people who changed how they work with agents, and people who only changed their coding tools. Frontier engineering is not vibe coding. You spend the first weeks writing steering files, refactoring the codebase, and learning to decompose work for agents. Those weeks feel slower. The weeks after feel dramatically faster, because you’re no longer building the software directly — you’re building the agent setup that builds the software.
• A free year of Kiro for students around the world – The Kiro Students program is expanding from 11 universities to 121 new schools across 16 countries. Eligible students get one year of Kiro with 1,000 credits per month and full access to paid features such as premium models and Kiro Web, no credit card and no trial timer. You can work in the IDE, the CLI, Kiro Web in a browser, or Kiro Crew. If you’re a student, sign up with your university email.
• The state of AI for security: measuring what matters for trust – Security teams are using AI for triage, threat modeling, incident response, and code review, but a tool that flags everything doesn’t save time. In The state of AI for security, Anshumali Shrivastava and Neha Rungta introduce Deception Benchmark, a new evaluation that tests whether a model can tell a real vulnerability from code that looks risky but is actually safe. The benchmark includes 14,822 samples across 16 languages and more than 70 Common Weakness Enumeration (CWE) categories. Under standard prompting, precision landed in the mid-50s, about as likely to be inaccurate as accurate, and none of the 12 models tested kept both false positives and false negatives below 10 percent. The post links to the dataset, whitepaper, and submission workflow for verified scoring.
• Build full-stack AWS applications in minutes with AI-powered scaffolding – Version 1.0 of the Nx Plugin for AWS is an open source toolkit of deterministic generators for APIs, websites, databases, and AI agents, plus the AWS infrastructure to run them. Each generator writes working, deployable code with security, observability, and type-safety already in place, so an AI assistant can assemble the foundation and spend its effort on your application logic. Bingo Industries used it to take a multi-agent operations chatbot from idea to production in less than 3 weeks. The plugin is open source on GitHub. Create a workspace with pnpm create @aws/nx-workspace and point your coding agent at the included MCP server.
• The oldest architecture in computing – On All Things Distributed, Werner Vogels starts from a question customers always ask “Will AI take my job?”, and lands on memory. After spending time with Kiro Crew, he traces a line from Jeff Hawkins’ A Thousand Brains to how Crew stores, consolidates, and forgets across markdown files, a vector database, and a key-value index. His conclusion: the brain is the oldest architecture in computing, and the people who think hardest about how it works will build the next tools. Now, go build.

For a full list of AWS blog posts, be sure to keep an eye on the AWS Blogs page.

Upcoming AWS events
Check your calendar and sign up for upcoming AWS events:

Join the AWS Builder Center to connect with builders, share solutions, and access content that supports your development. Browse here for upcoming AWS-led in-person and virtual events and developer-focused events.

That’s all for this week. Check back next Monday for another Weekly Roundup!

— Micah

This post is part of our Weekly Roundup series. Check back each week for a quick roundup of interesting news and announcements from AWS!

The post AWS Weekly Roundup: OpenAI GPT-6 Astra on Amazon Bedrock, Amazon Quick desktop GA, Kiro for students, and more (September 14, 2026) appeared first on The NOKIA Blog.

Historically, part of this ritual includes installing a ton of apps. I add the requisite Adobe design tools, the Microsoft Office suite for productivity, and a host of other software. Apps for email, FTP, media conversion, and a local web server environment remain staples.

My current system is now a few years old, and I have dozens (hundreds?) of these apps. They still serve their purpose. But it recently dawned on me that most of what I use could be replaced by a web browser. That will likely mean fewer apps to install on my next computer.

These are words I never thought I’d utter. My web design career began before the first release of Netscape. As such, I’ve had a love/hate relationship with browsers. For every benefit, there have been limitations and quirks to deal with.

These days, you can do pretty much anything within your chosen browser. That got me thinking: are traditional design apps still relevant? Should we abandon them for browser-based tools? I’m not so sure, but let’s figure this out together.

Modern Web Apps Break Boundaries

It used to be that most browser-based apps were inferior to their desktop counterparts. Common workflows like text and media editing felt clunky and minimally useful. I used them in a pinch and usually came away frustrated.

Meanwhile, desktop powerhouses like Excel, Photoshop, and Dreamweaver were infinitely more flexible. They were built for those who care about quality and require high-level functionality. Such professional-grade tools have always been worth the cost.

That narrative has been turned on its head by a combination of more powerful web standards and server technologies. There are now online video editing platforms that can produce top-notch results. Design tools like Figma make it easy to create and share interactive mockups. Google’s suite of productivity tools offers all the bells and whistles without compromise. Even Photoshop has an online version these days.

Collaboration might be the biggest selling point of all. You can keep clients and colleagues in the loop with minimal effort. This improves efficiency and saves us from the never-ending email chains of yesteryear.

And the appeal of these apps goes beyond functionality and convenience. They’re also cross-platform and device-agnostic. It used to be that you’d need a desktop app built specifically for your operating system. Using a browser means it works on Windows, Linux, macOS, Android, iOS, and more.

Then there are the hardware requirements. Granted, you should still have a system with plenty of memory and a modern graphics processor. However, having a massive hard drive isn’t necessary when storing files in the cloud.

The old boundaries of software have vanished. Doing all the things within a browser isn’t a chore like it used to be. And these apps may be enough for most web designers.

Trust and Content Ownership Are Concerns

Software is always an investment, regardless of how you access it. There are also privacy and security risks to consider. Browser-based tools often amplify those concerns.

Companies like Adobe and Microsoft have some level of tracking within their desktop apps. And they do connect to the internet. So, this is nothing new. But working in a browser opens up a different (or, at least, a bigger) can of worms.

For instance, cloud storage is quite convenient. But what happens if the provider gets sold or goes out of business? Will you lose access to your data? Are policies in place to maintain account security in the event of a breach or server crash? The answers aren’t always clear, and you may not find out until something bad happens.

Then there is the matter of artificial intelligence (AI). It seems like every tool on the planet has an AI integration of sorts. How are these features used on your content? Does the provider train their models with your work? Could your sensitive information become exposed online?

Working online also opens you up to third-party tracking. It may be something relatively innocent, like an analytics suite. But ad networks and similar companies could be watching you – and there is no guarantee they’ll abide by the rules.

These are important questions to answer when thinking about your (and your client’s) data. Again, desktop apps aren’t immune to these issues. But an online app that shows up overnight deserves an honest assessment. The risks could far outweigh the benefits.

Desktop Apps Are Still Relevant When Control Matters

It’s truly amazing to see how far web technologies have come in the past decade. You can see it in both commercial and open-source software. Functionality once reserved for powerful desktop devices can now exist in the palm of your hand (and with responsive design, for that matter).

I still believe there’s a tradeoff, however. The work-from-anywhere tools we use have plenty of benefits (provided you really do want to work from your lawn chair). But you lose a measure of control along the way.

There’s something to be said for storing files locally (with routine backups, of course). Not to mention the ability to customize an app’s layout or tool set to match your workflow. There’s a level of personalization you don’t seem to get in a browser.

The reality is that you don’t need desktop software for every purpose. There are plenty of online tools that will do the job. But there are scenarios where these old-school beasts make sense.

For example, I can’t imagine Disney making their next hit movie solely within a browser. And web designers who want full control of their workflow might want to keep a few items installed on their hard drives. I know I will.

here. He recently started a writing service for WordPress products: WP Product Writeup. He also has an opinion on just about every subject. You can follow his rants on Bluesky @karks.com.

Read more articles by Eric Karkovack

The post Are Browser-Based Apps Enough for Web Designers? appeared first on The NOKIA Blog.

Sooner or later, a CFO looks at your wireframes and asks what any of it actually does for the bottom line. Storyboards don’t answer that question, and the era when a 5-minute pitch could answer it ended, unfortunately, a while ago.

These days, if you want to win budget, buy-in, and backing for UX, the design has to be provably good for the business, not only for the people using it.

And proving that takes more than taping a dollar sign to a redesign. You have to understand how your organization defines value in the first place, how it measures that value, and how a credible line gets drawn between a design initiative and an outcome leadership already cares about.

Rather than scatter tips, this article follows one worked example the whole way through. Meridian is a mid-size B2B SaaS company, and it is entirely made up — that label matters, so it gets repeated where it counts. Its onboarding redesign carries the same figures from goal-setting through cost accounting, causal testing, and the final ROI number, because a framework only becomes tangible when the numbers connect. Every step is one you can rerun inside your own organization.

Why ROI Matters More Than Ever in UX Conversations

Companies now want clarity on what every dollar buys, and “delightful user experiences” stopped clearing that bar some time ago. I still remember a former colleague celebrating a $1 million redesign he’d gotten greenlit mostly on the strength of a couple of three.js tricks. Try that pitch in front of a finance team today and see how far the particles get you.

Executives don’t hate UX, they just hate vagueness. A pitch built on “users will find it easier” loses, every time, to the department promising 12% more sales in Q3. The difference is the one between a streamlined checkout flow that reduced cart abandonment with completed purchases up 22%, and the same work rewarded with “the QA testers like it.” One of those goes on your resume. The rest of this article is about earning the first version, with Meridian’s numbers doing the work.

When Business Goals And KPIs Don’t Exist Yet

Most writing about UX ROI makes a convenient assumption: that the organization already owns clean business goals and KPIs for you to hook your work onto. Real companies are messier than that. Plenty run on ambitions like “grow faster” or “improve the customer journey” that nobody ever broke into anything measurable, and an ROI case built on that ambiguity sounds impressive right up until somebody scrutinizes it.

So the first job is often to help the organization define what success even looks like. Interview stakeholders across departments — what does product consider a good quarter, where does customer success watch users struggle, where do sales deals stall — and listen for the themes that keep resurfacing across conversations, because those recurring themes are the company’s latent business objectives. A useful forcing function is the OKR model (Objectives and Key Results), which doesn’t tolerate vagueness.

At Meridian, the stated ambition was “improve the rate of new users’ adoption of the platform,” which you can neither design toward nor measure against. Interviews turned up the real shape of the problem. Trial users needed a median of 14 days to reach first value, most churned before getting there, and onboarding questions were burying the support queue. Out of that came an OKR with actual edges: reduce median time-to-first-value from 14 days to 7 with the use of a guided setup flow, and lift trial-to-paid conversion from 8% to 9.5%.

One warning about formalizing KPIs: Impose them from inside the UX team and leadership will suspect you’ve rigged the field in your own favor, so co-create them with whoever owns the outcome — though never at the price of accepting targets that set your team up for an uncomfortable situation. Meridian’s head of product agreed that setup-completion rate was a fair proxy for onboarding usability, and customer success signed off on time-to-first-value, a number already sitting on their own dashboard.

A KPI ladder that ends at a metric somebody already watches buys you credibility before any design work starts.

Quantifying The Full Cost Of The Investment

ROI has a denominator, and the denominator is where most UX teams go wrong. You can’t calculate a return without strategic financial planning, yet cost usually gets counted as designer salaries or consulting hours and nothing else. A finance team will find the rest whether or not you counted it, so count it first.

Direct costs are the visible ones. Meridian’s redesign ran $45,000 in design and research labor plus another $8,000 in tooling and participant incentives. Licenses for Figma, UserTesting, Hotjar, analytics platforms, research incentive spend — all of it belongs in the total, and that’s before the inevitable instances of vendor lock-in every UX team eventually faces. Engineering sits in the same column, because a UX redesign doesn’t stop at the mockup. Building the guided setup took two frontend sprints plus a QA pass, $38,000 worth, and the project generated about $4,000 of coordination overhead along the way in new syncs and shared dashboards.

The line item nearly everyone misses, and the one worth stealing from this article if you steal nothing else, is stakeholder time. Workshops, design reviews, and feedback sessions all pull senior people away from their primary work. A VP of Product spending four hours a week in UX reviews is a VP not spending those hours on roadmap planning or partner negotiations. Log the attendance — who came, for how long, at what seniority — and price it at fully loaded cost, meaning salary plus benefits divided by productive hours. A quarter’s worth of workshops, reviews, and interviews at Meridian priced out at $22,000.

Add it all up: $45,000 in design labor, $8,000 in tooling, $38,000 in engineering, $22,000 in stakeholder time, $4,000 in coordination. The investment is $117,000. Saying that number out loud beats saying “we spent $45K on design,” precisely because it already includes everything a finance team would have dug up on its own.

Proving Causation, Not Just Correlation

Most UX ROI pitches die right here. Conversions rose after the redesign, sure — and the CFO wants to know how you ruled out the new pricing, the seasonal traffic bump, and the marketing campaign that shipped the same week. Without a convincing answer, your entire ROI story crumbles.

After all these years, the gold standard for proving causation is still A/B testing: run the old experience against the new one on an even traffic split until the sample means something.

Onboarding happens to suit a phased rollout, which is why Meridian could do this cleanly. For eight weeks, half of new trial signups received the redesigned guided setup while half stayed on the legacy flow. Control converted to paid at 8.0%. The variant came in at 9.4%. With roughly 6,100 trials inside the window, the difference was statistically significant, but a 1.4-point gap on a single test is still the kind of result that deserves a second look before anyone builds a budget on it, which is one reason the team held back on attribution below. Where a split isn’t feasible — a change too structural, a user base too small — fall back to a time series instead. Measure steadily for weeks before the change, implement, then keep measuring against the baseline you established.

Documenting whatever else happens around the same time as your UX change is the unglamorous half of causation.

A pricing-page test from Meridian’s marketing team overlapped weeks five through eight of the rollout. The UX team noted it, confirmed it hit both cohorts evenly, and still chose to attribute only 70% of the observed lift to the redesign in the final math. There is no formula that produces that number; treat it as an illustrative assumption for this example.

The team asked how much of the lift could plausibly belong to the pricing test if it had helped one cohort slightly more than the other, settled on a ceiling of about a third, and rounded the redesign’s share down to 70%. Your figure will differ. What matters is that it is written down and argued for before the results arrive, not fitted to them afterwards. That restraint is worth money in a skeptical room. “We attribute roughly 70% of the lift to the onboarding change, with the remainder likely influenced by concurrent pricing work” survives cross-examination; claiming everything does not. Cohort analysis then backed the number up, since the lift held across acquisition channels and tenure bands, and at that point the skeptics had very little left to work with.

Leading and lagging indicators belong on the same slide, because each covers the other’s weakness. Meridian’s leading indicators moved first — setup completion climbed from 62% to 89%, median time-to-first-value dropped from 14 days to 6.5 — and the lagging trial-to-paid number followed. Mechanism first, business outcome second. Presented together, they form a causal chain that’s harder to poke holes in than either one alone.

The ROI Calculation, End to End

So what did Meridian actually earn? The company sees about 40,000 trial signups a year. Lifting conversion from 8.0% to 9.4% adds roughly 560 paying customers annually, and at an average of $1,800 in annual recurring revenue per account, those customers represent about $1,008,000 in new ARR. Applying the conservative 70% attribution from the causal work trims the defensible figure to roughly $706,000.

Set that against the full $117,000 investment and the first-year ROI lands near 5:1, with payback arriving in roughly two months. There’s a second line, too. Onboarding-related support tickets dropped about 30%, some 3,600 fewer tickets a year, worth another $54,000 annually at $15 per resolved ticket. Keep it as its own line rather than folding it into one swollen headline number. The case reads as more honest that way and loses none of its force.

Three assumptions carry that result, and each belongs on the slide next to it. The 40,000 signups and the $1,800 average ARR are the prior year’s actuals held flat, so a growth or pricing change moves the outcome in either direction. The 70% attribution is the illustrative assumption from the causal work, not a measured quantity. And the two-month payback counts new ARR as it lands rather than revenue recognized net of churn, which flatters the timeline; on a net basis the payback stretches to roughly a quarter. State those three plainly and a finance team can adapt the example to its own numbers. Hide them and the whole thing starts to look like marketing math, however careful the experiment was.

What persuades in the final presentation is not sophistication. Open with the baseline: what stalled trials and support volume were already costing. Show the delta in terms leadership reads fluently, metrics like conversion rate uplift chief among them. A chart of setup completion climbing from 62% to 89% will beat a paragraph of UX jargon, and a translation like “each abandoned setup costs us 0.3 support tickets” beats the chart. Above all, keep every figure identical from the first slide to the last. A room full of finance people forgives many things, but never numbers that wobble between slides.

Tailoring The Case To Whoever Holds The Purse Strings

Budget decisions come out of coalitions. A CFO may hold the final say when adding AI to the checkout process, but marketing, product, and customer success all lean on that decision, and each means something different by “value.”

A CFO hears cost, revenue, and risk. A CMO hears conversion and acquisition cost, since UX is a lever for increasing marketing ROI. Product counts support tickets; customer success thinks in retention. The underlying numbers never change; only the framing rotates, and a CFO wants a projection, not a moodboard. Meridian’s CFO slide read “the onboarding redesign protects roughly $706,000 in new ARR a year against a $117,000 investment,” while the CMO version led with what a 9.4% trial conversion does to blended acquisition cost.

Beyond the Dollar Sign: Qualitative and Non-Financial Metrics

Some UX outcomes never translate cleanly into revenue, and pretending they do weakens the parts of your case that are solid.

The trick with qualitative evidence is collecting it rigorously enough that nobody can wave it off as anecdote.

Scores like Net Promoter Score (NPS), CSAT, and Customer Effort Score already sit inside most reporting cadences, which makes them cheap to borrow. Tie your work to their movement, and segment wherever the data allows.

Meridian could say that NPS among trial users on the redesigned onboarding was 51 against 34 for the legacy flow, which lands far harder than any blended average. Verbatim feedback from surveys, support transcripts, and app store reviews adds the emotional weight the scores lack. Internal tools deserve the same discipline, since employee experience is increasingly recognized as a business driver — a dashboard redesign that hands account managers 45 minutes a day back is a productivity gain, a satisfaction gain, and a retention lever all in one.

Brand perception resists direct measurement but leaves tracks in repeat visits, organic referrals, and social sentiment. It carries extra weight in trust-sensitive industries like finance or healthcare, and it forms fast, given that UX design influences the first impressions of a whopping 94% of customers.

Whatever you collect, systematize the collecting. Run pre- and post-surveys with consistent question sets, use structured usability testing with task-based scoring, and put the qualitative right next to the quantitative when you present.

“Setup completion rose from 62% to 89%, and in post-test interviews 8 of 10 participants called the new flow intuitive, against 3 of 10 for the old one” — a pairing like that is much harder to dismiss than either half on its own.

Making the Case Stick

UX loses the budget battle unless it’s mapped to company-wide objectives, so phrase the proposal in the words of this year’s board presentation.

Nobody at Meridian pitched “simplify the onboarding UI”; the pitch was a redesigned trial experience worth 1.4 points of upgrade rate, roughly $1M in annual recurring revenue before attribution. Bring evidence in both registers, since that is what social proof is for: the case, clearly labeled, plus screenshots, impact graphs, and user quotes. Find internal allies who can repeat the ROI narrative in rooms you’ll never enter, and write the playbook down, because repeatable ROI is what earns recurring investment.

Resources for Going Deeper

This topic has been explored extensively by researchers, practitioners, and consultancies. Here’s a curated set of resources worth studying if you want to build a stronger ROI practice around UX.

• “Measuring the User Experience” by Tom Tullis and Bill Albert is the definitive guide to UX metrics. It covers everything from task-based measurements to survey design to statistical analysis, and it’s written for practitioners, not academics.
• Jared Spool’s “The $300 Million Button” case study is a classic example of how a single UX change (removing a mandatory registration step) generated massive revenue uplift. It’s a story every UX professional should have in their back pocket.
• Forrester’s research on UX ROI provides enterprise-focused frameworks for building business cases around experience design, including their widely cited finding that every dollar invested in UX returns $100.
• “UX Strategy” by Jaime Levy bridges the gap between design thinking and business strategy, offering practical tools for aligning UX initiatives with organizational goals and market positioning.
• The Design Value Index by the Design Management Institute tracks publicly traded companies that invest heavily in design against the S&P 500. The data consistently shows that design-led companies outperform the index by significant margins, and it’s a powerful data point for executive presentations.
• Google’s HEART framework provides a structured approach to selecting UX metrics at scale. HEART stands for Happiness, Engagement, Adoption, Retention, and Task success, and it’s particularly useful for teams that struggle to decide which metrics to track.

Conclusion

A seat at the table never comes from beauty or novelty. It comes from measurable, defensible impact, which means UX leaders have to trade the artist’s posture for the strategist’s. Speak in outcomes rather than outputs. Connect pixels to profit.

When someone challenges the numbers, don’t flinch. Show the controlled experiment, the cohort analysis, and the before-and-after metrics, every figure holding steady from the first slide to the last, the way Meridian’s did, with the customer quotes and the employee-satisfaction data sitting right beside the revenue impact. Prove the work does more than delight users, and be ready to defend the ratio line by line. That’s when the CFO leans in, and that’s when design stops being optional.

(yk)

The post Building A UX ROI Case That Survives The Boardroom appeared first on The NOKIA Blog.

Last year, we introduced Volume Clones of Amazon Elastic Block Store (Amazon EBS), a new capability that lets you create instant point-in-time copies of your EBS volumes within the same Availability Zone.

Today, we are extending Volume Clones with cross-account copy, so you can create copies of your EBS volumes into other AWS accounts and optionally re-encrypt them with an AWS Key Management Service (AWS KMS) key in the target account.

With this new feature, you can use your latest application data to develop, test, and experiment in a secondary environment, while protecting and isolating the information in the production environment. For example, you can create copies of a production environment to refresh test and development environments set up in separate accounts with the desired EBS encryption.

Copy EBS volumes across AWS accounts in action
To create a copy of an EBS volume across accounts, the owners of the volume can first grant the target account access to their volume in AWS Resource Access Manager (RAM), which provides a way to share resources across AWS accounts or within an AWS Organization. Then, from the target account, they can locate the volume they have access to create a copy of it.

To get started, choose Share volume for the volume you want to share with the target account in the Amazon EBS console.

Share the volume with other AWS accounts by adding it to existing resource shares, or create a new resource share in the AWS RAM console. For more details, refer to the AWS RAM User Guide.

You can now see confirmation that the volume has been shared in the Volume sharing tab of the volume detail page.

A target account must accept the resource share on the RAM console.

Once they accept the resource share, they can see the volumes in the EBS volume page of the target account. Choose Copy volume for any shared volume.

To share and copy EBS volumes across AWS accounts programmatically, including calling APIs and searching documentation, try the AWS MCP Server and plugins with your preferred AI coding tool. To learn more, visit the Amazon EBS User Guide.

Things to know
Let me share some important technical details that I think you’ll find useful.

• Encryption: You can share unencrypted volumes and volumes encrypted with a customer managed key (CMK). Volumes encrypted with the default AWS managed key (AMK) cannot be shared. When copying a shared volume encrypted with a CMK, the CMK must also be shared with the target account. You can specify a different CMK to re-encrypt the copy in the target account.
• Monitoring: You can monitor SharedVolumeCopyInitiated through AWS CloudTrail event in your account. You will also receive events in Amazon EventBridge at the start of the copy operation when the state of the copied volume is initializing, and at the end of the operation when the state of the copied volume changes to completed. You can see the shared volume ID, consuming account ID, and event time.
• Pricing: Once a copy is initiated, you’ll pay a one-time fee based on your volume size, charged to the account where the copy will reside. There’s no cost for sharing EBS volumes through AWS RAM. The copied volume will incur regular EBS volume charges upon creation.
• Availability Zone: The volume copy must be created in the same Availability Zone as the source volume. Use Availability Zone IDs (such as use1-az1) to identify the same physical location across accounts.

Now available
Cross-account volume clones for Amazon EBS are available in all AWS Regions that support Amazon EBS Volume Clones. For Regional availability and a future roadmap, visit the AWS Capabilities by Region.

Give this feature a try in the Amazon EC2 console today and send feedback to AWS re:Post for Amazon EBS or through your usual AWS Support contacts.

— Channy

The post Introducing Amazon EBS Volume Clones across AWS accounts appeared first on The NOKIA Blog.

Last week, Claude Fable 5.1 became available on AWS. According to Anthropic, Claude Fable 5.1 delivers frontier intelligence for ambitious tasks across coding, scientific research, and enterprise workflows. Claude Fable 5.1 is built for long-running, high-stakes work that runs for hours and spans many applications. It can own more of a software project on its own, handling features across an entire codebase, code review, and performance work over extended sessions.

Anthropic has designated Fable 5.1 a Covered Model, a category of Claude models that carry additional data retention, safety review, and access policies wherever they’re offered. Claude Fable 5.1 is subject to data retention for up to 30 days and human review by Amazon personnel, with a new aws_review data retention mode. In this mode, AWS retains your prompts and outputs for human safety review within the AWS boundary. The provider_data_share mode is legacy, and Amazon Bedrock does not share your data with the model provider. In addition, Enterprise Frontier Safeguards (EFS), built in partnership between AWS and Anthropic, will let eligible customers use Covered Models while keeping their data in a cloud environment they control.

You have two ways to access Claude Fable 5.1: Amazon Bedrock and Claude Platform on AWS. To learn more, see the Claude Fable 5.1 model card on Amazon Bedrock and Claude Platform on AWS.

Last week’s launches
Here are some launches that got my attention:

• Amazon Linux 2027 (AL2027) in public preview: AL2027 is the next version of the Amazon Linux operating system. It runs on kernel 7.1+, purpose-built for cloud-native workloads on AWS with performance, scale, and security in mind. Built on AL2023’s baseline, AL2027 is designed for customers who need a secure, stable, and AWS-native operating system running web applications, databases, containerized microservices, AI/ML workloads, and large-scale infrastructure.
• Amazon EC2 R9g and R9gd memory-optimized instances: These instances are powered by AWS Graviton5 processors, delivering the best price performance for memory-intensive workloads running on Amazon EC2. R9g and R9gd instances deliver up to 25% better compute performance compared to AWS Graviton4-based R8g and R8gd instances. They are up to 30% faster for databases, up to 35% faster for web applications, and up to 35% faster for machine learning. To learn more, read Daniel’s blog post.
• AWS Lambda SnapStart for container image functions: Lambda SnapStart is an opt-in capability that makes it easier for you to build highly responsive and scalable applications without provisioning resources or implementing complex performance optimizations. Previously, SnapStart was only supported for managed runtimes (Python, .NET, and Java). You can now use SnapStart for container images to reduce startup times from several seconds to as low as sub-second for latency-sensitive workloads such as ML inference and interactive APIs.
• AWS Agent Registry now generally available: AWS Agent Registry provides a private, governed catalog and discovery layer for agents, tools, skills, MCP servers, and custom resources within your organization. In addition to the capabilities launched in preview (manual and URL-based record creation, approval workflows, semantic and keyword search, and AWS CloudTrail audit trails), Registry now adds new enterprise features. To learn more, visit the AI Blog post.
• Amazon Redshift now supports Apache Iceberg v3 tables: You can read from and write to Apache Iceberg v3 tables in your data lake of Amazon Redshift. With this launch, Amazon Redshift introduces support for default column values, row lineage, and deletion vectors. Amazon Redshift’s Graviton based provisioned and serverless clusters support the new v3 format. To learn more, visit Apache Iceberg v3 features in Redshift.

For a full list of AWS announcements, be sure to keep an eye on the What’s New with AWS page.

Other AWS news
Here are some additional projects and news items you may find interesting:

• AWS named a Leader in the 2026 Gartner Magic Quadrant for Strategic Cloud Platform Services: For the 16th consecutive year, Gartner has recognized AWS as a Leader in the 2026 Gartner Magic Quadrant for Strategic Cloud Platform Services, and once again placed AWS highest on the Ability to Execute axis. We believe this recognition reflects our commitment to delivering the broadest and deepest set of cloud capabilities from infrastructure and AI to security and operations, so you can build, innovate, and scale with confidence.
• AWS Certified AI Business Strategist: This new certification targets professionals who evaluate, champion, and scale AI initiatives in their organizations: line-of-business leaders driving adoption across their teams, sales professionals articulating AI value to customers, consultants guiding client strategy from experimentation through production, program managers aligning AI investments to business outcomes. Beta exam registration opened September 1, 2026, with exam delivery beginning September 29.
• Agentic Security: Detection and Response at Machine Speed: We believe security should evolve ahead of AI adoption, not behind it. That belief drove our team to collaborate with the SANS Institute on a new chapter in the 2026 Cloud Security Exchange eBook, where we lay out a practical framework for securing agentic workloads at enterprise scale. Our chapter goes deeper on securing agentic workloads, with specific architectural patterns, implementation guidance, and frameworks for security teams at every stage of agentic AI maturity, whether you’re evaluating, piloting, or operating at scale.

For a full list of AWS blog posts, be sure to keep an eye on the AWS Blogs page.

Learn more about AWS, browse and join upcoming AWS-led in-person and virtual events, startup events, and developer-focused events including AWS re:Invent, AWS Summits, and AWS Community Days. Join the AWS Builder Center to connect with builders, share solutions, and access content that supports your development.

That is all for this week. Check back next Monday for another Weekly Roundup!

— Channy

The post AWS Weekly Roundup: Claude Fable 5.1 on AWS, Amazon Linux 2027 preview, AWS Certified AI Business Strategist, and more (September 7, 2026) appeared first on The NOKIA Blog.

That has led some seasoned (and not-so-seasoned) developers to go for the ultimate prize: replicating their favorite SaaS product. I admit to falling under the spell of such temptation.

It’s easy to see the potential benefits. SaaS subscriptions can be expensive, and the products may be more than what we need. Plus, there are always niche features that seem to be missing. Oh, and many are proprietary, raising data ownership concerns. Why not use AI to vibe code your own spinoff?

Can it really be that simple? Type a few prompts, and get a high-level tool to replace an enterprise app? As usual, it’s complicated.

Let’s take a hard look at the good, the bad, and the ugly of using AI to build a SaaS replica.

Taking Software Into Your Own Hands

My journey building a SaaS replica with AI began as I stood at a crossroads of sorts. I’m a longtime user of QuickBooks Desktop, which has served my accounting needs well over the years. However, the product I use was discontinued and moved online. Moving meant going from buying a license every few years to a monthly fee. I’m not keen on yet another subscription.

The desktop app is also starting to show its age. Some features are broken, and the interface is behind the times. Not to mention it’s a memory hog on my PC. This all coincides with some upcoming changes to my business that require a different approach.

So, I decided to take the plunge and build my own billing/customer relationship management (CRM) app as a WordPress plugin. I wanted something portable that would allow me (or others) to add features as needed. WordPress was the perfect fit.

The decision seemed like a no-brainer. I could use my existing skills to guide AI in the right direction. And I could leave out the things that weren’t necessary. I hoped to build a lean, functional plugin that streamlined my billing process.

This would also free me from the proprietary trap so many SaaS providers lock us into. I wouldn’t have to worry about higher rates, product limitations, or waiting for support tickets to be answered. Yes, this was exactly what I needed!

The only question was: Can I really build a suitable replacement?

The Challenge Is in the Details

The project started with a bang, as I used Claude to build a working prototype within an hour. Sure, there were some rough edges to be smoothed over. But the basic concept was coming together. Then, a bit of reality set in.

One of my goals was to create a tool that was close enough to what I’m accustomed to. The idea wasn’t to rebuild QuickBooks line by line, feature by feature. But I wanted something that provided a seamless transition.

My prototype allowed me to add customers, services, and invoices. I even built some import tools to bring my real-world data into the system. But I didn’t realize how many little details were missing until I used the plugin.

For example, I needed a way to share invoices with my clients. I also needed to distinguish between hourly-based and project-based services. Other needs seemed to pop up every few minutes:

• Custom reports for my business and individual customers.
• A way to email invoices to multiple contacts at the same company.
• A log to remind me whom I sent invoices to and when.
• Navigation to and from different areas of the plugin.
• User permissions for scenarios where you want to provide CRM access to a non-administrator.
• A front-end version of each relevant screen.

This was a different experience for someone who hadn’t taken a product from start to finish before. It felt more like being a product designer than a developer. That requires a different type of thinking.

AI proved capable of writing the code. However, I found myself having to provide extra context along the way. There was a lot of trial and error, and each new feature opened another set of decisions and potential.

There’s also danger in adding too many features. I didn’t want a bloated plugin that was difficult to use. As such, I had to practice restraint when considering my options.

It was a positive learning experience, for sure. But it also made me realize how much is involved in building a plugin that does more than merely function. Good things do indeed take time.

Questions To Ask Before You Build

The temptation to dive right in and generate code for the next HubSpot or Asana is understandable. AI makes relatively short work of complex coding tasks. These models can also advise you on how to replicate specific features.

It’s worth taking a step back and asking yourself a few key questions first, though. The answers will help you navigate the project or save you from making a massive mistake.

Are You Serious or Curious?

First, determine why you want to build this amazing new thing that’s based on an existing thing. Experimental side projects can be fun and a great way to learn. However, it’s different than a serious bid to create software that your entire company will use.

The former encourages you to be patient and test your ideas. The latter is often a mandate to increase efficiency while saving money. There’s an entirely different level of pressure in that scenario. You’ll also need to dedicate more resources toward the project.

It’s not necessarily a deal breaker either way, but a consideration nonetheless.

Do You Need Third-Party Integrations?

Integrating with other tools and services is a SaaS superpower. For example, adding Stripe to your CRM enables online payments, while Mailchimp adds email capabilities. AI tools can help you connect the various APIs out there.

The downside is the responsibility that comes with these integrations. APIs frequently change, and you need to stay ahead of them. Failing to keep up could lead to software that doesn’t work. Plus, there are security and privacy risks.

Remember: Once you build it, you’re responsible for it.

Do You Need Your App To Scale?

SaaS applications often require a robust infrastructure. That’s why AI companies are building data centers everywhere. This could be a concern if you’re expecting a stampede of users and use cases.

Smaller, more focused apps like my CRM plugin aren’t as big of a problem. A few users on a WordPress site won’t require a ton of memory or CPU cycles. But the calculus changes as your needs grow.

This is where a fun little project can turn into something more complex. That app you just vibe coded could turn you into a systems engineer. There’s also a cost to server space and other necessities. Are you prepared to go that far?

You Can Replicate a SaaS With AI, but Should You?

Using AI to generate code opens up a world of possibilities – and it’s only getting more powerful. New models continue to evolve to help us get things done faster. That leads to bigger and bolder ideas on our part.

Even so, it’s a good idea to think about the long-term consequences of what you build. It may be fun to try and replicate Gmail, but do you really want the responsibilities that go with it?

That may be an extreme example, but the theory also applies to smaller projects. The reality is that the best SaaS products are popular for a reason. They scale, have dedicated security teams, and professional product designers working to improve every aspect. Even the best AI models can’t match that quite yet.

So, have fun and experiment! Just know what you’re getting into before you begin.

here. He recently started a writing service for WordPress products: WP Product Writeup. He also has an opinion on just about every subject. You can follow his rants on Bluesky @karks.com.

Read more articles by Eric Karkovack

The post Can You Really Replicate Your Favorite SaaS With AI? appeared first on The NOKIA Blog.

Today, Amazon EC2 R9g and R9gd instances are generally available, powered by AWS Graviton5 processors. R9g instances are memory-optimized and deliver up to 25% better compute performance compared to Graviton4-based R8g instances, powered by the most energy efficient processor AWS has ever built.

R9g instances are ideal for memory-intensive workloads including databases, in-memory caches (Valkey, Redis, MemCached), real-time big data analytics, Linux-based workloads including containerized and micro-service-based applications (e.g. Kubernetes, Docker, EKS, ECS), as well as applications written in popular programming languages such as C/C++, Rust, Go, Java, Python, .NET Core, Node.js, Ruby, and PHP.

R9gd instances include local NVMe-based SSD block-level storage, ideal for memory-intensive workloads requiring fast, low-latency local storage such as open-source databases, distributed real-time big data analytics, large in-memory databases, and large caching workloads.

If you’re running workloads on R8g instances today, R9g gives you more performance per vCPU with faster memory, higher network and Amazon EBS bandwidth, and a larger L3 cache, all while using less energy.

What makes R9g different
Graviton5 processors bring several hardware improvements over Graviton4:

• Up to 25% higher compute performance per vCPU
• DDR5 8800 MT/s memory (up from 5600 MT/s in Graviton4), the fastest memory available in the cloud
• 5x larger L3 cache for better data locality
• Up to 2x higher network and EBS bandwidth for the largest instance sizes (up to 100 Gbps network, up to 72 Gbps EBS on the 48xlarge)
• Up to 3x higher packet-processing performance

R9g and R9gd instances support Instance Bandwidth Configuration (IBC), which lets you adjust the allocation of bandwidth between Amazon EBS and Amazon VPC networking by 25%. This helps optimize performance for workloads with specific bandwidth requirements such as databases and caching.

All R9g and R9gd instances run on the AWS Nitro System, which offloads virtualization, storage, and networking to dedicated hardware. This gives your applications near-bare-metal performance while maintaining strong security isolation between instances.

R9g and R9gd instances feature the Nitro Isolation Engine (NIE), the same enhancement to the Nitro System introduced with C9g and M9g instances earlier this year, which enforces isolation of instances and harnesses formal verification to provide assurances of isolation with mathematical precision. Nitro Isolation Engine is a purpose-built component that is responsible for enforcing isolation between virtual machines, including mediation of all access to virtual machine memory, CPU register state, and I/O devices through a minimal set of APIs. Nitro Isolation Engine leverages formal verification, a technique to mathematically demonstrate that the hardware or software behaves as intended, and not just in specific test cases. This intensive verification technique establishes Nitro as the first formally verified cloud hypervisor, pioneering a new standard for mathematically proven cloud security. To learn more about the Nitro Isolation Engine, visit the blog post. For details on the formal verification results, including scope and assumptions, see the technical white paper.

EC2 R9g and R9gd instance specifications
R9g and R9gd instances are each available in 11 sizes, from medium to metal-48xl. The following tables show the full specifications for each size.

R9gd instances offer the same compute and networking performance as R9g, with the addition of local NVMe-based SSD storage for workloads that need fast, low-latency scratch space or temporary caches.

Getting started
You can launch R9g and R9gd instances from the Amazon EC2 console using any supported Arm-based AMI. R9g instances support Amazon Linux 2023, Amazon Linux 2, Ubuntu 22.04+, RHEL 8.4+, SUSE Linux Enterprise Server 15 SP3+, Debian 12+, and other major Linux distributions.

If you’re migrating from R8g, no code changes are required for most applications. Select the equivalent R9g instance size and your application runs with better performance. For containerized workloads, R9g works with Amazon EKS, Amazon ECS, and standard Kubernetes deployments. Multi-arch container images built for Arm64 run without changes.

Several resources help you get started: the AWS Graviton Getting Started Guide covers how to build, run, and optimize workloads on Graviton-based instances. The Graviton Savings Dashboard helps you track cost savings. AWS Transform automates code transformations for migrating Java applications from x86 to Graviton. To learn more, visit AWS Graviton Processors or Level up your compute with AWS Graviton.

Pricing and availability
Amazon EC2 R9g and R9gd instances are available in US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt) Regions.

R9g and R9gd instances are available for purchase through Savings Plans, On-Demand, Spot Instances, Dedicated Instances, or Dedicated Hosts. For detailed pricing, visit the Amazon EC2 pricing page.

Ready to get started? Launch R9g instances from the Amazon EC2 console. For more details, visit the Amazon EC2 R9g instances page.

If you want to call APIs, search documentation, find regional availability, and check troubleshooting about this feature, try using the AWS MCP Server and plugins with your preferred AI tool. Share your feedback on AWS re:Post for Amazon EC2 or reach out through your usual AWS Support contacts.

— Daniel Abib

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The news that interested me the most last week was the DuckLabs acquisition. AWS has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind DuckDB, the popular open source analytical database that runs in-process and executes SQL directly against files like Parquet, CSV, and JSON. DuckDB stays open source under its independent foundation and the MIT license, and over time AWS plans to combine its speed at everyday queries with the enterprise scale of services like Amazon S3, Amazon Redshift, and Amazon Athena.

Co-founded by Hannes Mühleisen and Mark Raasveldt, DuckDB runs locally or on Amazon S3, which makes it remarkably fast for the everyday queries (a terabyte or less) that make up the bulk of real-world analytics. It also happens to pair beautifully with AI agents, which “poke” and experiment their way through data much like humans do. The co-founders will continue leading its technical direction while AWS combines DuckDB’s speed with analytics services like Amazon EMR, AWS Glue, and Amazon SageMaker. For the bigger picture on why this matters, Andy Warfield, Vice President and Distinguished Engineer shared his thoughts on the post DuckDB and the changing physics of analytics on All Things Distributed.

Now, let’s get into this week’s AWS news…

Last week’s launches
Here are some launches and updates from this past week that caught my attention:

• Amazon ECS now automatically detects and recovers container instances that lose agent connectivity – Amazon ECS now continuously monitors agent connectivity to the control plane and surfaces a new AGENT_CONNECTIVITY health event across AWS Fargate, Amazon ECS Managed Instances, and Amazon ECS on EC2. On Fargate and Managed Instances, ECS handles recovery automatically, draining tasks, launching replacements, and deregistering the impaired instance. On EC2, you can wire the event into your own workflow. Available at no additional cost in all AWS Commercial and AWS GovCloud (US) Regions.
• AWS Lambda introduces public preview runtimes, starting with Node.js 26 and Python 3.15 – You can now test upcoming Lambda runtimes before they reach general availability. Preview runtimes use the same identifier as the eventual GA version, so your functions graduate automatically with no action required. Third-party tools and deployment frameworks can also validate compatibility ahead of GA. Not meant for production yet (breaking changes are possible), but a great way to get ahead of your next upgrade. Available in all AWS commercial, AWS GovCloud (US), and China Regions.
• AWS IoT Core adds a native InfluxDB rule action – You can now route time-series data from your IoT devices straight into InfluxDB (Amazon Timestream-managed or self-hosted) without writing custom code or standing up an intermediate service. IoT Core formats data into InfluxDB’s line protocol and supports device-side and server-side batching. Available in all AWS Regions where Amazon Timestream for InfluxDB is offered.
• Amazon GameLift Servers now includes enhanced DDoS protection – Your game servers now get automatic protection against network and transport layer (layers 3 and 4) DDoS attacks – UDP reflection, SYN floods, and similar vectors – with nothing to enable or opt into. Built on top of AWS Shield Standard with gaming-optimized traffic shaping, it turns on the moment your servers start running (Server SDK 5) at no extra cost. It’s available in all supported GameLift Servers Regions except China (Beijing) and China (Ningxia).
• Amazon SageMaker HyperPod expands support for Ray – You can now run Ray workloads on SageMaker HyperPod with built-in observability, resilient training, and accelerated inference. Create and manage Ray clusters from Amazon SageMaker Studio, attach JupyterLab or your local IDE so a multi-node cluster behaves like a local dev environment, and get auto-provisioned Grafana dashboards. Node auto recovery, hung job detection, and tiered checkpointing keep large training runs healthy, while Ray Serve adds a tiered KV cache for inference. Your existing open source Ray code runs unchanged. Available for HyperPod clusters orchestrated by Amazon EKS.

For a full list of AWS announcements, be sure to keep an eye on the What’s New with AWS page.

Other AWS news
Here are some additional posts and resources that you might find interesting:

• Happy 20th birthday, Amazon EC2! – Amazon EC2 turns 20. Channy Yun looks back at how EC2 grew from a single m1.small instance type in one Region to more than 1,200 instance types across 39 Regions, along with the custom silicon journey from the first Graviton to Graviton5 and Trainium3. A fun and worthwhile read on the service that still underpins so much of AWS – including Amazon ECS, Amazon EKS, AWS Lambda, Amazon SageMaker, and Amazon Bedrock.
• Agentic Resource Discovery (ARD): an open specification for agent discovery – As organizations scale up agents, tools, and MCP servers, those resources end up scattered across clouds, on-premises infrastructure, and SaaS platforms – each with its own registry and metadata. ARD is a new open specification (Apache 2.0) that defines a common way to describe and discover agentic resources, so publishers “describe once” and consumers “discover everywhere” – think DNS, but for agents. AWS contributed feedback but doesn’t own the spec, and it complements the AWS Agent Registry by letting you federate across catalogs without migrating.
• Get started with the Agent Toolkit for AWS in the AWS CLI – A single AWS CLI command (aws configure agent-toolkit) now equips AI coding agents like Kiro, Claude Code, Codex, and Cursor with curated, up-to-date AWS knowledge and a secure connection to thousands of AWS APIs through the AWS MCP Server. If you build with an AI coding assistant, this helps it choose the right services, use modern APIs, and follow security best practices – so it gets AWS code right more often the first time.

Upcoming AWS events
Check your calendar and sign up for upcoming AWS events:

• AWS Summits – Free in-person events where builders come together to learn, connect, and explore the latest in cloud and AI. Upcoming stops include Zurich (September 2), São Paulo (September 3), Tel Aviv (September 10), and Dubai (September 30). Can’t attend in person? You can stream sessions through the Global Livestream and On-Demand Hub. I’ll be presenting two sessions on generative AI and Amazon Bedrock at the São Paulo Summit – if you’re there, come say hello.
• AWS Community Days – Community-led conferences where content is planned, sourced, and delivered by community leaders. Upcoming events include JAWS SONIC 2026 in Tokyo (September 5) and Warsaw, Poland (September 8).

Join the AWS Builder Center to connect with builders, share solutions, and access content that supports your development. Browse here for upcoming AWS-led in-person and virtual events and developer-focused events.

That’s all for this week. Check back next Monday for another Weekly Roundup!

— Daniel Abib

This post is part of our Weekly Roundup series. Check back each week for a quick roundup of interesting news and announcements from AWS!

The post AWS Weekly Roundup: Welcome DuckLabs to the team, Agentic Resource Discovery (ARD), and more (August 31, 2026) appeared first on The NOKIA Blog.

For more than 15 years already, our monthly wallpapers series has been the perfect opportunity for creatives of all backgrounds to put their skills to the test. You don’t have to meet stakeholder or client requirements; for a change, it’s just you, exploring your ideas and bringing them to life in your own, unique style. Since we first embarked on this wallpapers journey, so many talented folks from all across the globe have accepted the challenge, and this September is no exception.

Created with love by the community for the community, all the wallpapers in this collection come in a variety of screen resolutions and can be downloaded for free. A huge thank-you to everyone who tickled their creativity and shared their designs with us — this post wouldn’t be possible without your kind support!

If you’d also like to be featured in one of our upcoming wallpapers posts, please don’t hesitate to join in. We can’t wait to see your story come to life! Happy September!

• You can click on every image to see a larger preview.
• We respect and carefully consider the ideas and motivation behind each and every artist’s work. This is why we give all artists the full freedom to explore their creativity and express emotions and experience through their works. This is also why the themes of the wallpapers weren’t anyhow influenced by us but rather designed from scratch by the artists themselves.

Welcome Autumn

“That crisp, golden shift in the air when the first fallen leaves begin to blanket the streets of Novi Sad always brings a quiet transition into a slower rhythm. The goal was to capture that cozy, enveloping feeling of the changing seasons through a simple illustration, the way a woodland canopy naturally forms an archway, framing the workspace in rich amber, rust, and deep burgundy.” — Designed by Popart Studio from Serbia.

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September On Repeat

Designed by Ricardo Gimenes from Spain.

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A Stream Of Consciousness

Designed by Ricardo Gimenes from Spain.

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• without calendar: 640×480, 800×480, 800×600, 1024×768, 1024×1024, 1152×864, 1280×720, 1280×800, 1280×960, 1280×1024, 1366×768, 1400×1050, 1440×900, 1600×1200, 1680×1050, 1680×1200, 1920×1080, 1920×1200, 1920×1440, 2560×1440, 3840×2160

Autumn Rains

“This autumn, we expect to see a lot of rainy days and blues, so we wanted to change the paradigm and wish a warm welcome to the new season. After all, if you come to think of it: rain is not so bad if you have an umbrella and a raincoat. Come autumn, we welcome you!” — Designed by PopArt Studio from Serbia.

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Funny Cats

“Cats are beautiful animals. They’re quiet, clean, and warm. They’re funny and can become an endless source of love and entertainment. Here for the cats!” — Designed by UrbanUI from India.

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Terrazzo

“With the end of summer and fall coming soon, I created this terrazzo pattern wallpaper to brighten up your desktop. Enjoy the month!” — Designed by Melissa Bogemans from Belgium.

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Summer Ending

“As summer comes to an end, all the creatures pull back to their hiding places, searching for warmth within themselves and dreaming of neverending adventures under the tinted sky of closing dog days.” — Designed by Ana Masnikosa from Belgrade, Serbia.

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Cacti Everywhere

“Seasons come and go, but our brave cactuses still stand. Summer is almost over and autumn is coming, but the beloved plants don’t care.” — Designed by Lívia Lénárt from Hungary.

Flower Soul

“The earth has music for those who listen. Take a break and relax and while you drive out the stress, catch a glimpse of the beautiful nature around you. Can you hear the rhythm of the breeze blowing, the flowers singing, and the butterflies fluttering to cheer you up? We dedicate flowers which symbolize happiness and love to one and all.” — Designed by Krishnankutty from India.

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Stay Or Leave?

Designed by Ricardo Gimenes from Spain.

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Listen Closer… The Mushrooms Are Growing

“It’s this time of the year when children go to school and grown-ups go to collect mushrooms.” — Designed by Igor Izhik from Canada.

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Who

Designed by Ricardo Gimenes from Spain.

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Hungry

Designed by Elise Vanoorbeek from Belgium.

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Maryland Pride

“As summer comes to a close, so does the end of blue crab season in Maryland. Blue crabs have been a regional delicacy since the 1700s and have become Maryland’s most valuable fishing industry, adding millions of dollars to the Maryland economy each year. The blue crab has contributed so much to the state’s regional culture and economy, in 1989 it was named the State Crustacean, cementing its importance in Maryland history.” — Designed by The Hannon Group from Washington DC.

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Lucha Libre

“This month is Mexico’s independence day and I decided to illustrate one of the things Mexico’s best known for: the Lucha Libre.” — Designed by Maria Keller from Mexico.

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A Cozy Evening

“The leaves are changing their colors now, but the nights are still warm. There’s something different tonight… do you feel it? It’s like the air tastes like a soft marshmallow and you’re sitting by a warm fire in the middle of the forest, while the nature that surrounds you is transforming. It’s ok, small changes are normal and all you can do is sit back, look at the stars, and embrace the world that evolves around you.” — Designed by Creative Pinky from the Netherlands.

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Go Bananas

Designed by Ricardo Gimenes from Spain.

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Summer Is Leaving

“It is inevitable. Summer is leaving silently. Let us think of ways to make the most of what is left of the beloved season.” — Designed by Bootstrap Dashboards from India.

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Still In Vacation Mood

“It’s officially the end of summer and I’m still in vacation mood, dreaming about all the amazing places I’ve seen. This illustration is inspired by a small town in France, on the Atlantic coast, right by the beach.” — Designed by Miruna Sfia from Romania.

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Rainy Flowers

Designed by Teodora Vasileva from Bulgaria.

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Colors Of September

“I love September. Its colors and smells.” — Designed by Juliagav from Ukraine.

Finding Jaguar

“Nature and our planet have given us life, enabled us to enjoy the most wonderful place known to us in the universe. People have given themselves the right to master something they do not fully understand. We dedicate this September calendar to a true nature lover, Vedran Badjun from Dalmatia, Croatia, who inspires us to love our planet, live in harmony with it and appreciate all that it has to offer. Amazon, Siberia, and every tree or animal on the planet are treasures we lose every day. Let’s change that!” — Designed by PopArt Studio from Serbia.

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Early Autumn

“September is usually considered as early autumn, so I decided to draw some trees and leaves. However, nobody likes that summer is coming to an end, that’s why I kept summerish colors and style.” — Designed by Kat Gluszek from Germany.

Bear Time

Designed by Bojana Stojanovic from Serbia.

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National Video Games Day Delight

“September 12th brings us National Video Games Day. US-based video game players love this day and celebrate with huge gaming tournaments. What was once a 2D experience in the home is now a global phenomenon with players playing against each other across statelines and national borders via the internet. National Video Games Day gives gamers the perfect chance to celebrate and socialize! So grab your controller, join online, and let the games begin!” — Designed by Ever Increasing Circles from the United Kingdom.

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September Vibes

“On September 1st, the first day of school in our country, schoolchildren across Serbia would write about what autumn feels like in their neighborhood. Usually, it’s the imagery of fallen leaves rustling under the feet, foggy and chilly mornings with the sun breaking between the murky clouds, a muffled sound of a chainsaw cutting firewood somewhere in the distance, the smells of fruits and vegetables being prepared for home canning. Autumn is the season of serenity, quietness, and reflection.” – Designed by PopArt Studio from Serbia.

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Geometric Autumn

“I designed this wallpaper to remind everyone that autumn is here.” — Designed by Advanced Web Ranking from Romania.

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Long Live Summer

“While September’s Autumnal Equinox technically signifies the end of the summer season, this wallpaper is for all those summer lovers, like me, who don’t want the sunshine, warm weather, and lazy days to end.” — Designed by Vicki Grunewald from Washington.

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No More Inflatable Flamingos

“Summer is officially over and we will no longer need our inflatable flamingos. Now, we’ll need umbrellas. And some flamingos will need an umbrella too!” – Designed by Marina Bošnjak from Croatia.

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Designed by Ricardo Gimenes from Spain.

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Get Featured Next Month

Feeling inspired? We’ll publish the October wallpapers on September 30, so if you’d like to be part of the collection, please don’t hesitate to submit your design. We are already looking forward to it!

The post The Many Faces Of September (2026 Wallpapers Edition) appeared first on The NOKIA Blog.

In organisations today, data has never been more available. Dashboards and performance decks exist for almost every function — sales, product, marketing, operations — and the tools to build them have never been more accessible. And yet, in weekly standups and quarterly reviews, the same thing happens constantly: someone shares the numbers, the room nods, and the meeting ends without a decision or clear direction.

When that happens, the data usually takes the blame. The numbers weren’t granular enough, the dataset wasn’t complete, we need more information before we can act. But the data is almost never the problem. The reality is that nobody designed it to deliver insights. The chart was built from what was available, not from the question that needed answering. The audience was assumed rather than understood, and what should actually change as a result of seeing this data — that question — was never asked at all.

Data visualisation and UX are solving the same underlying problem: both are trying to move the right information to the right person in a way that changes something. The vocabulary is different, but the underlying challenge is identical, and the moment you start treating them as complementary disciplines is the moment dashboards stop being a passive collection of charts and start doing something functional.

For designers who work with data, analysts who present to non-technical audiences, and marketers who need their numbers to do more than sit in a slide, this read is for you.

The Chart Was Never The Whole Story

In 1973, the statistician Francis Anscombe (PDF) published a paper that made a quiet but clarifying point. He constructed four datasets that are statistically identical: same mean, same variance, same correlation coefficient, and same regression line. Run the numbers on any of them, and they are identical. Plot them, and they could not be more different.

Anscombe’s lesson to statisticians was about diagnosis: visualisation reveals the operational truth that raw numbers conceal.

But visualisation isn’t just diagnostic; it is also communicative. The form you choose is where understanding either emerges or gets lost in the noise. Does your audience walk away with numbers, or with a story they’ll quote and talk about?

One of the most striking examples is Visual Capitalist’s History of Pandemics. Instead of burying the reader in a massive data table of casualty counts, it maps the death toll of major historical pandemics using a proportional bubble layout on a single timeline.

Before your brain reads a single number, your visual system grasps the sheer scale of the Black Death relative to everything else on the page. The right visualisation does not just plot the data but makes the story impossible to miss.

Edward Tufte codified a foundational principle for the craft with his data-ink ratio: every mark on a chart should serve the data, not decorate it. It remains a widely used framework in data visualisation, anchored in the assumption that clarity and visual hygiene are the goal.

For a chart in isolation, that holds. But a chart is never read in isolation: it’s read by a person, in a specific context, under specific pressure. Strip a chart down to its cleanest form, and you might be removing the exact layer of context a decision-maker needs. Simplicity isn’t the goal in itself; appropriate complexity is.

Data is a message, and the right amount of signal depends entirely on who’s receiving it.

Which leads to the core principle of data UX: roughly 80% of the work that determines whether a dashboard succeeds happens before you ever draw a chart.

That dependency is the thread the rest of this piece pulls on.

The 80% That Happens Before The Chart

The high-leverage 80% almost never happens on screen. It happens upstream: before a tool is opened, before a dataset is pulled, before a single design choice is made. It comes down to three questions, and once they become habitual, they change what you notice, what you ask, and what you push back on at the outset of every project.

1. Context: What are we trying to show with this data?
   This is where you define what the visualisations actually need to serve before you touch any raw data. Writing down the precise operational questions, specifically enough to determine what gets pulled and what gets filtered, is what produces a dashboard that helps with decision-making.
2. Audience: Who is this for, and how do they think?
   This is the empathy step. Knowing who’s in the room, what they’re accountable for, and how they engage with data determines how much complexity the visualisation can carry, and how it should be presented.
3. Insight: What should change once this data lands?
   A decision, a new direction, a shift in understanding. If the intended strategic outcome isn’t clear during the design phase, it will remain invisible once the dashboard goes live.

Context: What Are We Trying To Show With This Data?

Most data-heavy projects start backward: teams pull whatever metrics their internal analytics tools already track and build visualisations around them, while the question the data was supposed to answer either gets assumed or never gets asked. This happens simply because we anchor on the data in front of us as the boundary of what’s possible.

Defining a goal first sounds obvious, but in practice, it rarely happens with the necessary clarity. “Show me how the product is performing” is not a goal; “Identify which features drive retention among users who signed up in Q1” is, as it includes three things the first doesn’t: a metric, a population, and an implied action. That specificity is what converts an open-ended exploration into a constrained, answerable design problem. Which one you start from determines everything that follows: what you include, what comparisons matter, and what you leave out entirely.

Starting with available data produces a dashboard that answers no particular question, because it was never built for one — every number is present, none of them pointed anywhere. Starting with the operational question does the reverse: every element on the screen earns its place, because each one is there to help answer it.

For example, consider a UX team trying to fix a leaky checkout flow for an e-commerce website. A data-first approach pulls everything available, from clicks to scroll depth and device types, yielding a massive dashboard that leaves everyone asking, “Okay, but what do we actually change?” A context-first approach starts with a constraint: “At which step of the checkout do users drop off?” By filtering out 90% of the noise, the team builds a simple funnel chart, instantly spots a bottleneck on the payment screen, and knows exactly what to redesign.

Audience: Who Is This For, And How Do They Think?

Designing for an audience comes down to two things: accountability and familiarity.

Familiarity is about data literacy. Do they read charts instinctively, or does a complex visualisation create friction? Handing a dense, multi-layered dashboard to a Head of Sales and a senior analyst is like giving the same map to someone who navigates by landmarks and someone who reads grid coordinates. The data is accurate, but it is only functional for one of them.

Accountability dictates how that complexity must be presented. A chart showing a 12% decline carries vastly different weight for the executive responsible for that number versus the analyst simply reporting it. Understanding your audience means grasping this relationship; data is never processed neutrally when your performance is on the line.

Together, familiarity and accountability decide one practical thing: how much you can put in front of someone.

In data visualisation, simplicity is not a fixed virtue — the right level of it is contingent on who is reading, and what they need to do.

An analyst relies on a high-density environment to conduct diagnostic discovery. By isolating individual behaviour nodes and mapping out raw user flows, they interrogate the data at its atomic level to uncover the hidden insights and underperforming spend that will shape future campaigns.

An executive, by contrast, requires a highly synthesised translation of that data to immediately identify what is driving commercial growth. Tailoring a dashboard to your audience means adjusting the density dial, delivering maximum signal with appropriate complexity for the specific brain in the room.

Insight: What Should Change Once This Data Lands?

Most data projects operate on the comfortable assumption that if a chart is accurate and clear, the insight will take care of itself. In reality, information and insight are entirely different states. Information is what the data shows, whereas insight is the specific decision, shift in understanding, or course correction someone makes as a result of seeing it. If the intended business change isn’t defined before the design begins, a dashboard will default to passive reporting rather than driving action.

Marketing and engineering teams experience the danger of this gap whenever a core business metric suddenly plummets.

A dashboard built for information simply sounds the alarm, showing a chart that tracks a sharp 15% drop in booking rates. Because the data lacks depth, leadership defaults to panic: they immediately call the UX design team, assuming the app is broken or the checkout flow is flawed. Because the data doesn’t pinpoint the core of the problem, it triggers a costly, misplaced fire drill.

A dashboard built for insight isolates the variables required to make an informed decision. Instead of a single, flat booking metric, the visualisation maps the drop against traffic sources and campaign launches — instantly revealing that while app performance and core user conversion are perfectly stable, the sitewide rate was artificially diluted by a massive influx of low-intent click traffic from a newly scaled campaign. The team doesn’t waste time redesigning a functioning app; they get the exact insight needed to pause the underperforming marketing campaign and adjust their acquisition strategy.

Every visualisation implies a next step, even if that step is “nothing needs to change right now.” The question is whether the design makes that implication clear enough for the viewer to recognise it.

From Questions To Dashboard: A Project Walk-through

My aha moment in data visualisation happened during a project for a client-facing B2B SaaS platform focused on enterprise talent management and competency tracking in Pegasystems skills. The platform captured a massive footprint of daily telemetry, and the brief arrived open-ended: “We have an immense archive of user activity, now we need to present it to enterprise teams.”

We could very easily have charted everything that was captured, but we wouldn’t be doing end users any favours if they just ended up looking at a data graveyard. My responsibility immediately moved beyond pure interface craftsmanship; it became about architecting a highly practical tool for real people who would open this dashboard routinely and need it to tell them an honest, immediate story about their workflows.

Here is how the project actually went.

Context

The client believed this massive pool of data could help their users perform better, and wanted an interface that finally enabled that growth. Translating that broad ambition into tangible visualisations required defining the practical mechanics of performance. What variables indicate advancement vs passive usage? What does “perform better” actually mean? How do you measure it?

An obvious candidate was time spent by product. Every platform tracks it. It is easy to show, and it feels meaningful. But time spent is a proxy; it tells you someone was there, not whether they got anything out of it.

The more meaningful signals were competency scores by area, certification completion rates, and historical performance trajectories. Integrating time-spent data alongside these performance metrics added a useful layer of interpretation, helping us surface which modules users were underutilising and whether that directly correlated with lagging scores. Time spent became a supporting signal in the larger story.

The second question was about the appropriate level of granularity. An identical metric carries completely different weight depending on who is looking at it. An individual contributor tracking their own completion rate needs to know if they are pacing correctly, whereas a manager reviewing a team aggregate needs to know precisely who requires immediate support. This distinction shaped every subsequent data-exposure and filtering decision. Defining that structural story early determined exactly what to show, and to whom.

Audience

The most straightforward approach to this design would have been predictable: use the same charts, but offer an individual view and an aggregated team view. Far too many dashboards rely on this shortcut, subtly tweaking the scale of identical data visualisations and labelling it “personalisation.”

An authentic analysis of the audience reveals a much deeper rift. Frontline team leads and individual contributors required distinct narrative structures and design principles.

Having used e-learning platforms myself, I remember the frustration of opening a tool without a clear sense of my current standing, core strengths, or slipping metrics. That personal experience directly guided the individual contributor workspace; it needed to act as a highly tailored, self-directed mirror that was granular, honest, and personal.

Conversely, the manager’s interface had to bypass individual milestones initially to provide a macro pulse check on team vulnerabilities. It was designed around a different operational reality: how is the group progressing, and where are the consistent gaps? The view prioritised the aggregate picture first, while retaining an intuitive path to drill down into tactical day-to-day coordination when needed.

Insight

Our insight strategy was locked in during the early conceptual phase, long before wireframing a single chart. We intentionally abandoned the idea of building a dense, passive data log and focused on pacing the narrative arc.

For individual contributors, the core value was self-direction, ensuring they could glance at the interface on a Monday morning and immediately derive a clear priority list for the week ahead.

For managers, the goal was to fundamentally shift the timing of operational conversations, providing them with the necessary baseline to intervene before a skill gap evolved into a critical project failure. The visualisations needed to surface the exact moments when a human check-in would be useful, shifting their workflow from reactive post-mortems to proactive guidance.

The comparison tool was the highlight nobody had asked for. A manager dashboard and an individual dashboard are easy to anticipate. What is harder to land is: what if a manager wants to compare two specific team members against the same metrics, side by side? That view came from a design assumption, and it turned out to be the feature that resonated most.

The decisions that mattered most in this project weren’t in the initial brief — capturing data they hadn’t thought to request, and structuring it to answer questions they had not previously known how to articulate, which is the core differentiator of a user-centric data strategy.

Designing The Mental Model Early

The choice of visualisation layout must follow the geometric nature of the data itself. For this project, the core design problem was enabling an individual user to answer a specific question at a single glance: across eight distinct competency areas, where are my relative strengths and gaps?

To solve this, we mapped the data using a radar chart. By organising multiple variables across axes radiating from a central point using polar coordinates, the interface connects the data points to form a single, unified shape. An even, balanced polygon instantly signals well-rounded proficiency, while a sharply skewed shape draws the eye immediately to an outlier area.

While a traditional linear bar chart would have forced the viewer to scan eight individual bars and mentally calculate the variance, a concentric, radial layout segments the data layers to make progress tracking and skill gaps immediately readable. When all dimensions share an identical scale and scoring method, the radar chart is not an unconventional aesthetic choice — it is the most functional tool for multi-dimensional analysis.

The colour system was the other decision made early, and I mean early. During the branding exercise, each of the three products was assigned a colour. That colour did not stay in the brand guidelines. It was built into the data model from the beginning, running consistently across every chart, every filter, every breakdown. By the time a user landed on the dashboard for the first time, the mental model was already in place. They had not been taught the language. They already knew it.

What Changed

The shift from passive information to active insight showed up first in how the dashboard was actually used. Following the deployment of the personalised dashboards and side-by-side team comparison tools, weekly active engagement on the platform’s analytics features rose noticeably, per internally reported figures. Managers were no longer opening the tool once a month to pull static reports. They were using it every Monday morning to actively plan their week.

Revenue and user growth also moved in the right direction over the following two quarters, though — as with most single-project outcomes — it’s hard to isolate the dashboard’s exact contribution from everything else that changed at the same time. The client reported churn across the platform falling to one of its lowest points on record. The clearest evidence of impact came from qualitative feedback. Managers reported that instead of using data to dissect a ‘bad’ month after the fact, the visualisations allowed them to instantly spot slipping performance and schedule a quick supportive catch-up before it turned into a real gap.

Closing

Data design reaches its full potential when visual presentation is treated as an upstream architectural choice rather than a downstream formatting step. Bringing structured UX thinking to data turns visualisations into active decision-making engines, ensuring every chart, report, and metric directly serves a human purpose:

• Upstream framing: Grounding every visual choice in a specific operational question rather than defaulting to available metrics.
• Calibrated density: Tuning the level of complexity directly to the literacy and accountability of the specific reader.
• Decision-driven insight: Structuring data to reveal strategic outcomes rather than isolated stats, turning visual signals into immediate operational momentum.

The next time you are tasked with creating a data visualisation — whether it is an enterprise dashboard, an executive report, or a public-facing infographic — step away from the design canvas and BI tools. Focus your initial effort on the human decisions behind the screen. Only then will your data stop being a passive log of the past and start driving the direction of the future.

(yk)

The post Rethinking Data Visualisation: A UX Approach To Dashboards That Actually Drives Decisions appeared first on The NOKIA Blog.

There are also big differences between hosting providers. Some focus on low-cost shared hosting, while others offer managed WordPress hosting, cloud hosting, or plans built for businesses and agencies. The tools included with each plan can vary just as much. Backups, staging sites, caching, security, migrations, CDN access, and developer tools may be included, limited, or cost extra.

This comparison looks at six popular WordPress hosts: WordPress.com, Bluehost, Pressable, Cloudways, Kinsta, and SiteGround. Each provider has been tested and compared across the areas that matter when running a WordPress website.

The goal isn’t to name one host that works for everyone. A personal blog, WooCommerce store, client website, and busy online publication have very different hosting needs. Instead, the results should make it easier to see where each provider works well, where it falls short, and which type of WordPress website it suits best.

Best WordPress Hosting: Quick Recommendations

Not everyone needs to compare every plan and technical detail. These recommendations offer a quick starting point based on common WordPress projects. Each host has been selected for a different type of user, with performance, management tools, support, pricing, and the overall hosting experience taken into account.

Best Overall WordPress Host: WordPress.com

WordPress.com is our best overall host because it combines managed WordPress hosting with the flexibility and ease of use many websites need. It works well for blogs and business sites, with plans suitable for larger publications and WooCommerce stores.

Much of the technical work is handled for you, including caching, security, updates, SSL, and CDN access. All paid plans now support third-party plugins and custom theme uploads. Business adds daily backups, staging, SFTP, SSH, database access, WP-CLI, and other developer tools.

WordPress.com is run by Automattic, a company with deep ties to the WordPress open-source project and WordPress.org. That experience carries through to its managed hosting and support, which is useful when a problem involves both WordPress and the hosting platform.

There is less server maintenance to handle, while developers can choose Business when they need more advanced access. Those needing full server control may prefer cloud or VPS hosting.

Pricing varies between plans, so always compare promotional rates with the normal renewal price.

Further Information:

WordPress.com Plans & Pricing

• Personal: Supports third-party plugins and themes, custom CSS and code, along with security, support, and migration tools.
• Premium: Includes everything in Personal, with additional design, analytics, SEO, advertising, and monetization tools.
• Business: Adds daily backups, staging, SFTP, SSH, WP-CLI, database access, GitHub deployments, and other developer tools.
• Commerce: Includes the tools available with Business and adds WooCommerce and online selling tools.

All data correct as of August, 2026.

Best WordPress Managed Host: Kinsta

Kinsta is our choice for the best managed WordPress host. It is built for WordPress sites that need strong performance, reliable hosting, and useful management tools without the site owner having to manage the server.

Every WordPress site runs in its own isolated container, with access to Kinsta’s cloud infrastructure and a choice of 30 data center locations. Server caching, edge caching, a Cloudflare-powered CDN, security, daily backups, and performance monitoring are included.

Kinsta also provides a strong set of developer tools, including DevKinsta. SSH and SFTP are included with all WordPress hosting plans, WP-CLI is installed by default, and staging gives developers a separate platform to test changes. MyKinsta also offers database management, logs, analytics, and Kinsta’s APM performance tool.

The main drawback is price. Kinsta costs more than budget WordPress hosting, so it is harder to justify for a small personal site. But for businesses, busy publications, stores, and other sites where performance and support matter, the extra cost makes sense.

Further Information:

Kinsta Plans & Pricing

• Single Site Plans: Built for one WordPress website, with several levels based on traffic or bandwidth. All include CDN, edge caching, daily backups, staging, security, migrations, SSH, SFTP, and WP-CLI.
• Multiple Site Plans: Designed for users who manage several WordPress installations. These plans increase the number of sites and available resources while keeping them under one Kinsta account.
• Agency Plans: Made for agencies that manage larger collections of client sites. They provide higher limits and more capacity while retaining the same managed WordPress platform and development tools.
• Custom Plans: Available for WordPress projects that need more resources than the standard plans provide. These are better suited to very busy sites and projects with unusual hosting requirements.

All data correct as of August, 2026.

Best WordPress Blogger Host: Cloudways

Cloudways is our choice for the best WordPress blogger host, particularly for established blogs and publications that have grown beyond basic shared hosting. It provides managed cloud hosting while still giving site owners more control over server resources than most managed WordPress platforms.

With Cloudways Flexible, WordPress can run on cloud infrastructure from DigitalOcean, Vultr, Linode, AWS, or Google Cloud. You choose the provider, server size, and location, while Cloudways handles much of the server setup and management. Resources can also be increased as traffic grows.

WordPress tools include server caching, staging, cloning, automated backups, SSL, migrations, security tools, SSH, SFTP, Git, and WP-CLI. Multiple WordPress sites can also run on the same server, provided it has enough resources.

This flexibility is why Cloudways works well for established bloggers. A growing publication can increase its hosting resources without moving to another platform. The tradeoff is complexity. There are more server settings to understand than with WordPress.com or Kinsta. But for bloggers comfortable managing WordPress, that extra control can be useful.

Further Information:

Cloudways Plans & Pricing

• DigitalOcean: The most practical starting point for many WordPress blogs. Plans provide dedicated cloud resources, SSD or NVMe storage, vertical scaling, and a choice of server locations.
• Vultr: Offers a broad choice of data center locations and server configurations. It is useful when the main audience is closer to a Vultr location or a different server setup is required.
• Linode: Another option for blogs that want predictable cloud resources and a choice of server locations while keeping Cloudways responsible for much of the server management.
• AWS: Uses Amazon Web Services infrastructure and provides more server configuration choices. It is generally more expensive and is better suited to sites with requirements that justify the added cost.
• Google Cloud: Runs WordPress on Google Compute Engine through the Cloudways dashboard. Like AWS, it provides flexible server resources but usually costs more than the simpler cloud options.

All data correct as of August, 2026.

Best WordPress Developer Host: Pressable

Pressable is our choice for the best WordPress developer host. It is a fully managed WordPress platform from Automattic, the company behind WordPress.com and WooCommerce, and runs on its WP Cloud infrastructure. That WordPress focus is one of the main reasons it works so well for development work.

Developers get staging and sandbox environments for every site, along with SSH, SFTP, WP-CLI, Git, database access, and other tools needed for building and maintaining WordPress sites. DupliKits can also be used to create reusable site templates, which can save time when several projects start with a similar setup.

Pressable handles much of the hosting work in the background. Hourly and daily backups, caching, security monitoring, automatic scaling, a global CDN, and site migrations are included. There is also 24/7 support from a team that works with WordPress every day.

Pricing is higher than budget hosting, but that is not really what Pressable is competing with. The value comes from reducing server maintenance while keeping the development tools needed for regular WordPress work. For freelance developers and teams managing several sites, that balance makes Pressable a strong choice.

Further Information:

Pressable Plans & Pricing

• Signature 1: Supports one WordPress site, 30,000 monthly visits, and 20GB of storage. Suitable for developers managing a single business or client site.
• Signature 2: Supports three WordPress sites, 50,000 monthly visits, and 30GB of storage. Useful for developers who manage a small collection of client sites.
• Signature 3: Supports five WordPress sites, 75,000 monthly visits, and 35GB of storage. Offers more room for freelancers maintaining several active WordPress projects.
• Signature 4: Supports ten WordPress sites, 150,000 monthly visits, and 50GB of storage. Excellent for developers and small teams that manage a larger group of websites.
• Signature 5 and Above: Plans increase from 20 to 100 WordPress installations, with higher traffic and storage limits. They are aimed at larger development teams and agencies with many sites.

All data correct as of August, 2026.

Best WordPress Agency Host: SiteGround

SiteGround is our choice for the best WordPress agency host. It combines managed WordPress hosting with tools for building, testing, managing, and handing client websites once a project is complete and launched. GrowBig and GoGeek also allow multiple websites under one account, which makes them better suited to agency work than the single site StartUp plan.

SiteGround handles many routine hosting jobs, including WordPress updates, daily backups, caching, CDN access, SSL, security, and server maintenance. GrowBig and GoGeek also include WordPress staging, while developers have access to SSH, SFTP, WP-CLI, databases, and other common development tools.

The agency tools are the main reason for choosing SiteGround here. Team members can be added as collaborators without sharing the main account login. Finished websites can also be transferred to clients while the agency remains attached as a collaborator. GoGeek adds white label client access, so clients using Site Tools do not see SiteGround branding.

The main drawback is renewal pricing. SiteGround offers large discounts for the first year, but regular rates are much higher. Agencies should use those renewal prices when calculating the long-term cost of hosting client websites.

Further Information:

SiteGround Plans & Pricing

• StartUp: Supports one website, around 10,000 monthly visits, and 10GB of storage. It includes managed WordPress tools, daily backups, caching, CDN access, SSL, and email. The single site limit makes it less useful for agency hosting.
• GrowBig: Supports unlimited websites within its resource limits, around 100,000 monthly visits, and 50GB of storage. It adds more server resources, WordPress staging, on-demand backups, and collaboration tools. This is a good starting point for smaller agencies.
• GoGeek: Supports unlimited websites within its resource limits, around 400,000 monthly visits, and 100GB of storage. It provides more server resources and adds white-label client access, making it the strongest shared hosting plan for agencies managing client websites.

All data correct as of August, 2026.

WordPress.com is our choice for the best WooCommerce host. WooCommerce can now be installed on any paid WordPress.com plan, giving store owners more choice over how much hosting and how many store tools they actually need.

The close connection with WooCommerce is a major advantage. WordPress.com and WooCommerce are both part of Automattic, so the hosting platform is built and supported by people with a deep understanding of WordPress and WooCommerce. This becomes useful when a problem involves the store, WordPress, and the hosting environment.

For larger stores, the Commerce plan includes everything in Business, along with WooCommerce and additional selling tools. This includes real-time backups, staging, SFTP, SSH, database access, payment tools, shipping integrations, automated taxes, product recommendations, and other WooCommerce extensions.

WordPress.com also handles much of the hosting work, including caching, security, updates, SSL, and server management. Store owners can concentrate on products, orders, customers, and sales rather than maintaining the server. It may cost more than basic WooCommerce hosting, but the managed setup makes more sense as a store becomes busier.

Further Information:

WordPress.com Commerce Plans & Pricing

• Personal: WooCommerce can be installed alongside third-party plugins and themes. It provides a low-cost starting point for a very small store, but it does not include the advanced backups, staging, and developer tools available on higher plans.
• Premium: Includes everything in Personal, along with additional design, analytics, SEO, advertising, and monetization tools. WooCommerce can be installed, although growing stores may benefit from the stronger hosting tools available with Business.
• Business: Adds real-time backups, staging, SFTP, SSH, database access, WP-CLI, and other developer tools. WooCommerce can be installed normally, making Business a good choice for store owners who want to build their own WooCommerce setup.
• Commerce: Includes everything in Business and adds WooCommerce with a collection of store tools and extensions. It supports unlimited products and orders, payments, shipping integrations, automated taxes, product recommendations, abandoned cart emails, and other selling tools.

All data correct as of August, 2026.

Best Budget WordPress Host: Bluehost

Bluehost is our choice for the best budget WordPress host. Its lower-priced plans provide the tools needed to run a blog, portfolio, small business site, or other WordPress project without paying the higher monthly cost of premium managed hosting.

WordPress hosting includes managed updates, SSL, CDN access, malware scanning, backups, migration tools, and a domain for the first year. Bluehost also provides a 99.99% uptime SLA and several server locations. WordPress setup and site management are handled through a dashboard aimed at users who may not have much hosting experience.

Starter is the obvious choice for smaller sites, while Business provides more storage, supports more websites, and adds further security and backup tools. Higher performance plans are available when a site needs more resources, so there is room to move beyond the entry-level packages.

The main issue is renewal pricing. Bluehost offers large discounts for the initial term, but the regular price is considerably higher. That needs to be included when comparing it with other budget hosts. For a smaller WordPress site where keeping the initial cost low matters, Bluehost still provides a strong set of hosting tools for the money.

Further Information:

Bluehost Plans & Pricing

• Starter: Supports up to ten websites with 10GB of NVMe storage. It includes managed WordPress updates, CDN access, SSL, malware scanning, weekly backups, migration tools, and a domain for the first year. It is the best fit for blogs and smaller WordPress sites.
• Business: Supports up to 50 websites with 50GB of NVMe storage. It provides more room for growing sites and is better suited to users managing several WordPress installations or a busier business website.

All data correct as of August, 2026.

Most WordPress hosts include more than just server space. Backups, staging sites, caching, CDN access, SSL, security, and migration tools reduce the amount of work needed to maintain a site. A host may advertise backups but run them only weekly, or offer staging only on its more expensive plans.

There is also a difference between a tool being included and it being well connected to the hosting platform. The right setup depends on whether the project needs simple management or greater control.

Developer requirements can be very different from those of someone running a single blog. Staging sites, SSH, SFTP, WP-CLI, Git, database access, logs, and local development tools will save a lot of time. They are also useful when testing updates or tracking down a problem without making changes directly on a live site.

Cloudways provides the greatest server control of the hosts compared here, while Kinsta and Pressable combine strong development tools with a more managed setup. WordPress.com also provides many common development tools on suitable plans. SiteGround covers most everyday development needs, while Bluehost provides enough access for many smaller projects.

The main question is how much control is actually required. More server access is useful for some developers, but it also means taking responsibility for more of the hosting setup.

AI tools are starting to appear in WordPress hosting platforms. Many providers now use it to help monitor websites, detect security threats, improve performance, and simplify routine management tasks. Some platforms also include AI assistants that can answer questions, troubleshoot common issues, or help configure hosting settings.

While these tools can save time, they shouldn’t be the main reason for choosing a host. Performance, reliability, support, and security still matter more. AI is best viewed as a useful addition rather than a replacement for a well-managed hosting platform.

The table below shows how the six hosts in this comparison currently approach AI.

All data correct as of August, 2026.

WordPress.com currently has the most complete AI setup of the hosts compared here. Its AI website builder can create a new WordPress site, while WordPress Agent continues working inside the site after it has been built. It can help with content, layouts, images, pages, and other editing jobs.

The more interesting addition for developers is MCP support. WordPress.com can connect with outside AI agents such as ChatGPT, Claude, Cursor, and other compatible tools. These agents can read site information and, with permission, carry out tasks such as creating posts, managing content, working with media, and changing site settings. MCP is available across paid WordPress.com plans.

Other hosts are using AI in narrower ways, often concentrating on initial site creation, content generation, or hosting support. Those tools can still be useful, but they should not be a major reason to choose a host on their own. Hosting performance, support, backups, security, development tools, and long-term cost still matter much more.

How to Choose a WordPress Host

Choosing a WordPress host is one of the biggest decisions you’ll make for your website. Your hosting provider affects performance, reliability, security, and how easy your site is to manage. The right host will keep your website running smoothly and give you access to support when you need it.

No hosting plan suits every website. A personal blog has different needs than an online store or an agency managing client sites. Knowing what your website requires before comparing providers will help you narrow your options and avoid paying for services you won’t use.

When comparing hosts, look at uptime, page speed, server locations, backups, staging sites, security, support, and renewal pricing. These factors often matter just as much as the monthly cost.

The articles below cover the main topics involved in choosing a WordPress host. Whether you’re building your first website or moving to a new provider, they’ll help you compare your options and make a confident choice.

WordPress Hosting for Different Needs

Choosing a hosting plan that matches your needs can improve performance, make your website easier to manage, and help you avoid paying for resources you won’t use. As your website grows, you can move to a plan with more storage, power, and management tools.

Whether you’re building your first WordPress website, running an online store, or managing client sites, understanding the strengths of each hosting option will make it easier to choose the right provider.

WordPress Performance & Security

A good hosting provider gives your WordPress website a solid foundation, but hosting is only part of the picture. Your website’s setup, the tools you use, and your security practices all affect performance, reliability, and keeping your visitors safe.

Many WordPress hosts include caching, content delivery networks (CDNs), backups, malware scanning, and SSL certificates. Knowing how these features work will help you get more from your hosting plan. Regular maintenance also helps keep your website running well. Updating WordPress, plugins, and themes, monitoring performance, and following good security practices can prevent many common problems.

The articles below cover the tools and techniques that can improve website speed, strengthen security, and simplify day-to-day management.

Managing Your WordPress Hosting

Launching a WordPress website is only the start. Regular maintenance helps keep your website secure, reliable, and running smoothly. Many hosting providers include tools that simplify routine tasks, but it still helps to understand how they work.

Common tasks include migrating websites, installing SSL certificates, updating PHP, managing domains, restoring backups, and monitoring uptime. Learning these skills will help you solve problems more quickly and get more from your hosting provider.

Whether you’re looking after one website or several client projects, a regular maintenance routine can reduce downtime and keep your websites in good shape.

The articles below cover the most common hosting management tasks and show you how to handle them with confidence.

• When Your WordPress Website Has Outgrown its Hosting

  How do you know when a hosting change is needed? Here are a few things to consider.

• Hosting Your Client’s WordPress Website

  Learn how to avoid common hosting mistakes when hosting WordPress sites for clients.

• Understanding Your Web Host

  Your host may not cover all your needs. Take these steps to ensure your website runs smoothly.

• Building a Performant WordPress Website

  Learn how to boost performance with better hosting, lighter themes, and smart optimzation strategies.

• What To Know About Your Client’s WordPress Website

  We cover what to check first, including themes, plugins, custom code, hosting, and unused tools.

• Add an SSL Certificate to Your WordPress Website

  A quick SSL certificate setup can mean big benefits for your site and visitors.

• WordPress Website Email Issues

  Learn how to test sending, check logs, change the from address, set up SMTP, or use a mail delivery service.

Final Verdict: Which WordPress Host Should You Choose?

WordPress.com is our best overall choice because it works for a broad range of WordPress projects while handling much of the hosting management. It is suitable for blogs, business websites, larger publications, and WooCommerce stores, with access to plugins, themes, staging, backups, security, caching, and development tools on suitable plans.

Kinsta is the better choice for users who want premium managed WordPress hosting and are willing to pay more for it. Cloudways suits established bloggers and publications that want greater control over server resources. Pressable is our choice for developers because its managed platform includes a strong set of WordPress development tools.

SiteGround makes sense for agencies managing several client websites, particularly when collaboration and site management tools are needed. And Bluehost remains the budget choice for smaller WordPress sites where keeping the hosting bill low matters more than having advanced management tools.

No host wins every category because WordPress websites have different requirements. The best option is the provider that has enough performance and resources for the site, includes the tools that will actually be used, and remains affordable after introductory pricing ends. For most WordPress users looking for a balance across those areas, WordPress.com gets our overall recommendation.

WordPress Hosting FAQs

WordPress hosting can look more complicated than it needs to be. Hosting companies use different plan names, prices, limits, and technical terms, even when the services are similar. These answers cover some of the most common questions about choosing and using WordPress hosting.

• What is the best hosting for WordPress?
  WordPress.com is our best overall WordPress host because it combines managed hosting with good performance, security, backups, CDN access, and WordPress support. Kinsta is our choice for managed hosting, Cloudways for bloggers, Pressable for developers, SiteGround for agencies, and Bluehost for smaller budgets.
• How much should WordPress hosting cost?
  Basic WordPress hosting can cost only a few dollars per month, while managed hosting may cost $20 to $50 per month or more. Larger sites and stores can cost considerably more. Always check the regular renewal price because introductory rates can make the first term look much cheaper.
• Do I need managed WordPress hosting?
  No. Smaller blogs, portfolios, and business sites can run well on lower-cost hosting. Managed WordPress hosting becomes more useful for busy sites, stores, and businesses that benefit from automatic backups, security, caching, staging, and WordPress-focused support.
• Can I change WordPress hosts later?
  Yes. WordPress sites can be moved between hosting providers. Many hosts provide migration tools or will move the site for you. Keep the old hosting active until the new site has been checked and the domain is pointing to the new server.
• Does better hosting make WordPress faster?
  Better hosting can improve WordPress performance by providing faster servers, more resources, caching, and CDN access. But hosting cannot fix every problem. Large images, heavy themes, slow plugins, external scripts, and database problems can still make a site slow.
• Is WordPress hosting different from regular web hosting?
  WordPress hosting is web hosting set up with WordPress in mind. It may include WordPress updates, caching, backups, security, staging, WP-CLI, and specialist support. WordPress can also run on regular hosting as long as the server meets its requirements.
• Do I need separate hosting for WooCommerce?
  No. WooCommerce runs on WordPress and does not require a separate type of hosting. But stores can need more server resources because carts, checkout pages, customer accounts, orders, and stock changes create more database activity than a typical WordPress site.
• How much traffic can WordPress hosting handle?
  There is no single number. A cached blog and a busy WooCommerce store can use very different resources even with the same number of visitors. Check the host’s traffic, bandwidth, storage, CPU, memory, and other resource limits before choosing a plan.

Read more articles by Paul Andrew

The post The Best WordPress Hosting in 2026 appeared first on The NOKIA Blog.

Part of the challenge is that it’s not always easy to identify accessibility issues. It often requires digging deeper to find and fix them. This is where the right WordPress plugin can be useful.

Some plugins allow users to adjust visual elements like font size and color contrast. Even better, some scan your content and alert you to problems. You might be surprised to find out how many issues can pop up in your theme and other installed plugins. The results may lead you to consider different options.

With that in mind, let’s look at some of the best WordPress accessibility plugins on the market. They won’t fix every issue, but they can help you learn and improve your site.

Accessibility Checker isn’t a band-aid for your site’s shortcomings. However, it will add missing skip links, focus outlines, and form labels upon request. It also scans your site’s content and creates a laundry list of potential issues. It catches common problems, such as ambiguous link text and missing ALT attributes.

Like all automated tools, you may find some false-positive results. As such, a manual inspection is required to verify them. But the plugin offers tips for fixing any issues it finds. The free version scans your site’s pages and posts, while the pro version includes custom post types and other handy features.

Use WP Accessibility to fix common issues, such as missing language/text direction attributes, missing ARIA labels for navigation, and viewports that don’t scale. It will also enforce ALT attributes in the editor and identify media with missing descriptive text.

These are optional and can be activated as needed. The other big feature here is a front-end toolbar that controls page zooming and color contrast. This gives users more control over how they view your site.

We’re starting to see AI used for a variety of purposes, including accessibility improvements. Alt Text AI automatically analyzes uploaded images and generates an ALT description.

The feature can save you a lot of time and effort – just be sure to double-check to ensure the description is accurate. Note that the plugin requires purchasing AI “credits” to work. There’s a free trial for trying the plugin before you buy.

Are you looking to provide visitors with accessibility options? This plugin adds a widget with a variety of optional feature modules. Users can change the font size and contrast. But there are also tools for switching to a dyslexia-friendly font, highlighting titles, and pausing animations.

You’ll also find a feature that helps you create an accessibility statement. Experiment to see which features will benefit your visitors.

Accessibility is about more than fixing issues – it’s also about adding accessible features. SimpleTOC creates a WCAG 2.2-conforming table of contents for your content. It’s a great way to help users navigate longer pages and blog posts. By default, the plugin adds zero CSS or JavaScript to your site.

Instead, it relies on HTML details and summary tags, which work natively in your browser. When it comes to accessibility, simple is always better.

Media embeds, particularly from third-party services, can be difficult to use. Some are bloated with JavaScript and other code that inhibit accessibility. Able Player offers an accessibility-first solution and implements an HTML5 media player via a configurable shortcode.

It works with locally uploaded files and videos from YouTube and Vimeo. The shortcode offers several options impacting the style and functionality of the player.

Leave No User Behind

Accessibility is not a “nice-to-have” feature – it’s an obligation. It’s also an ongoing process that requires your attention. Thankfully, there are tools to help you find potential issues and fix the most common ones. The WordPress plugins above will help you in your quest. Bonus: Some will add accessible elements that benefit everyone.

No singular plugin can make your site fully accessible. But they can make your job easier. We hope you find a solution to do just that.

Website Accessibility Plugins at a Glance

The post 6 Best WordPress Plugins for Improving Website Accessibility in 2026 appeared first on The NOKIA Blog.