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	<title>Logz.io</title>
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	<link>https://logz.io/</link>
	<description>Innovate Faster, Recover Quicker, and Get Smarter Insights with AI-Powered Log Management and Observability.</description>
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		<title>Introducing OrionIQ: The End of Manual Observability</title>
		<link>https://logz.io/blog/introducing-orioniq/</link>
		
		<dc:creator><![CDATA[Tomer Levy]]></dc:creator>
		<pubDate>Thu, 09 Apr 2026 12:22:54 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Autonomous Observability]]></category>
		<category><![CDATA[Logz.io Features]]></category>
		<category><![CDATA[Observability]]></category>
		<category><![CDATA[RCA]]></category>
		<guid isPermaLink="false">https://logz.io/?p=69328</guid>

					<description><![CDATA[OrionIQ is Logz.io’s new agentic observability platform designed to move teams from detecting issues to resolving them automatically. As AI accelerates software development, operations remain manual: engineers still wake up at 2 a.m. to investigate alerts and rebuild context. OrionIQ uses AI agents to analyze real-time telemetry, investigate incidents, identify root causes, and take action [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>AI for Observability: What Actually Works in Production</title>
		<link>https://logz.io/learn/ai-for-observability-what-actually-works-in-production/</link>
		
		<dc:creator><![CDATA[Adi Aviv]]></dc:creator>
		<pubDate>Sun, 15 Mar 2026 11:02:41 +0000</pubDate>
				<category><![CDATA[Learn]]></category>
		<category><![CDATA[Videos]]></category>
		<category><![CDATA[Webinars]]></category>
		<category><![CDATA[Agentic AI]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[DevOps Community]]></category>
		<category><![CDATA[Observability]]></category>
		<guid isPermaLink="false">https://logz.io/?p=69129</guid>

					<description><![CDATA[In this candid discussion with Logz.io AI Engineer Shevach Marantz and CEO &#38; Co-founder Tomer Levy, we covered:]]></description>
		
		
		
			</item>
		<item>
		<title>The 2025 Wake-Up Call for Engineering Teams</title>
		<link>https://logz.io/blog/the-2025-wake-up-call-for-engineering-teams/</link>
		
		<dc:creator><![CDATA[Spencer Bos]]></dc:creator>
		<pubDate>Thu, 19 Feb 2026 10:18:02 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[DevOps]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[DevOps Community]]></category>
		<category><![CDATA[Observability]]></category>
		<guid isPermaLink="false">https://logz.io/?p=68926</guid>

					<description><![CDATA[For years, organizations tried to solve operational pain by collecting more data, adding more dashboards, and consolidating more tools. But 2025 exposed a deeper mismatch. Systems had become more distributed, AI-assisted, and interdependent than ever before, while teams had shrunk and on-call pressure had intensified. This wasn’t a tooling failure. It was an architectural and [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Smarter Incident Response with Logz.io and PagerDuty</title>
		<link>https://logz.io/learn/smarter-incident-response-with-logz-io-and-pagerduty/</link>
		
		<dc:creator><![CDATA[Adi Aviv]]></dc:creator>
		<pubDate>Wed, 04 Feb 2026 14:48:10 +0000</pubDate>
				<category><![CDATA[Learn]]></category>
		<category><![CDATA[Videos]]></category>
		<category><![CDATA[Webinars]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[DevOps Community]]></category>
		<category><![CDATA[Observability]]></category>
		<guid isPermaLink="false">https://logz.io/?p=68697</guid>

					<description><![CDATA[In this candid discussion with Jackie Leybman (Principal Product Manager, PagerDuty) and David Lotan (VP Product, Logz.io), we covered:]]></description>
		
		
		
			</item>
		<item>
		<title>Tool Consolidation Is Dead. Long Live Agentic AI.</title>
		<link>https://logz.io/blog/agentic-ai-integration-debt-observability/</link>
		
		<dc:creator><![CDATA[Asaf Yigal]]></dc:creator>
		<pubDate>Tue, 03 Feb 2026 11:11:18 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[DevOps]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Observability]]></category>
		<guid isPermaLink="false">https://logz.io/?p=68737</guid>

					<description><![CDATA[It’s 2026, and developers have more tools at their disposal than at any point in the industry’s history: CI/CD platforms are richer; observability stacks are deeper; security, data, and AI tooling have exploded into crowded, competitive ecosystems. And yet, delivery is still slow, incidents are still noisy, workflows are still brittle. The problem is no [&#8230;]]]></description>
		
		
		
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		<item>
		<title>2026 Observability Predictions: What Lies Ahead</title>
		<link>https://logz.io/learn/2026-observability-predictions-what-lies-ahead-2/</link>
		
		<dc:creator><![CDATA[Vladimir Voitenko]]></dc:creator>
		<pubDate>Thu, 15 Jan 2026 08:38:31 +0000</pubDate>
				<category><![CDATA[Learn]]></category>
		<category><![CDATA[Videos]]></category>
		<category><![CDATA[Webinars]]></category>
		<category><![CDATA[Observability]]></category>
		<guid isPermaLink="false">https://logz.io/?p=68642</guid>

					<description><![CDATA[In this candid discussion with Logz.io Sales Engineer Spencer Bos and CTO &#38; Co-founder Asaf Yigal, we covered:]]></description>
		
		
		
			</item>
		<item>
		<title>What’s New at Logz.io &#8211; January 2026</title>
		<link>https://logz.io/blog/whats-new-january-2026/</link>
		
		<dc:creator><![CDATA[Amos Etzion]]></dc:creator>
		<pubDate>Thu, 01 Jan 2026 11:00:00 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[Dashboards]]></category>
		<category><![CDATA[Kubernetes]]></category>
		<category><![CDATA[Logs]]></category>
		<category><![CDATA[Observability]]></category>
		<guid isPermaLink="false">https://logz.io/?p=68653</guid>

					<description><![CDATA[Live Mode in Logs Explore We’ve updated Logs Explore to integrate the real-time streaming capabilities of the old “LiveTail” into our new Explore environment. The result? A faster and more seamless experience.&#160; Customers can now benefit from: Expanded Dashboard Features We’ve added three key updates to Unified Dashboards designed to make your data exploration faster [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Zero code tracing: Kubernetes observability with Logz.io and eBPF</title>
		<link>https://logz.io/blog/ebpf-integration/</link>
		
		<dc:creator><![CDATA[Yotam Loewenbach]]></dc:creator>
		<pubDate>Tue, 30 Dec 2025 11:47:23 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[How To]]></category>
		<category><![CDATA[eBPF]]></category>
		<category><![CDATA[Kubernetes]]></category>
		<category><![CDATA[Logz.io Integrations]]></category>
		<category><![CDATA[OpenTelemetry]]></category>
		<category><![CDATA[Tracing]]></category>
		<guid isPermaLink="false">https://logz.io/?p=68505</guid>

					<description><![CDATA[Distributed tracing is a core tool for operating modern microservices platforms. For SREs and DevOps teams, it is often the fastest way to understand latency issues, service dependencies, and unexpected failure modes. But achieving comprehensive tracing coverage is resource-intensive and time-consuming. It usually requires application changes, language-specific instrumentation, agent lifecycle management, and ongoing coordination with [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>2026 Observability Predictions: What Lies Ahead?</title>
		<link>https://logz.io/blog/observability-predictions-2026/</link>
		
		<dc:creator><![CDATA[Asaf Yigal]]></dc:creator>
		<pubDate>Tue, 23 Dec 2025 13:40:38 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Observability]]></category>
		<category><![CDATA[Performance Monitoring]]></category>
		<guid isPermaLink="false">https://logz.io/?p=68472</guid>

					<description><![CDATA[What remains of the 2025 AI hype? After a year of &#8220;AI will fix everything&#8221; promises, engineering teams in 2025 hit a wall of reality: AI is a tool, not a magic bullet.&#160; We’re now seeing a more practical approach: identifying broken workflows and tasks where AI can help and leveraging AI strengths like data [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>The New Open 360 AI Experience</title>
		<link>https://logz.io/learn/video/open-360-ai-2/</link>
		
		<dc:creator><![CDATA[Vladimir Voitenko]]></dc:creator>
		<pubDate>Sun, 21 Dec 2025 13:43:11 +0000</pubDate>
				<category><![CDATA[Learn]]></category>
		<category><![CDATA[Product]]></category>
		<category><![CDATA[Videos]]></category>
		<guid isPermaLink="false">https://logz.io/?p=68428</guid>

					<description><![CDATA[Experience the new Open 360 AI, built to help you explore, analyze, and act on your observability data in a smarter way See how the AI Agent works directly inside dashboards to explain anomalies, summarize trends across your telemetry data, and guide you to root cause, without switching views or writing queries.Everything you know and love is still here,  [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>AI Agent-Powered Dashboard Revolution</title>
		<link>https://logz.io/learn/video/ai-agent-powered-dashboard-revolution/</link>
		
		<dc:creator><![CDATA[Vladimir Voitenko]]></dc:creator>
		<pubDate>Fri, 14 Nov 2025 08:38:55 +0000</pubDate>
				<category><![CDATA[Learn]]></category>
		<category><![CDATA[Videos]]></category>
		<guid isPermaLink="false">https://logz.io/?p=68316</guid>

					<description><![CDATA[]]></description>
		
		
		
			</item>
		<item>
		<title>Making Observability AI-Native with the Logz.io MCP Server</title>
		<link>https://logz.io/blog/logz-mcp-server/</link>
		
		<dc:creator><![CDATA[Jade Lassery]]></dc:creator>
		<pubDate>Tue, 11 Nov 2025 22:55:00 +0000</pubDate>
				<category><![CDATA[Best Practices]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Observability]]></category>
		<guid isPermaLink="false">https://logz.io/?p=67949</guid>

					<description><![CDATA[The Logz.io MCP Server brings your logs, metrics, and telemetry data into the Model Context Protocol (MCP), an emerging open standard that lets AI systems query real data securely and contextually, in real time. That means any MCP-compatible LLM, like Claude Desktop, Cursor, your own AI agent… can now connect directly to your Logz.io environment. [&#8230;]]]></description>
		
		
		
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