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The latest News and Information on Application Performance Monitoring and related technologies.

Accelerating Resolution with Autonomous Incident Response v1

Oct 13, 2026 By Datadog In Datadog
Incident response often spans a patchwork of tools, handoffs, and manual steps. An engineer gets paged, a team investigates the issue, the incident commander coordinates the response, SREs document decisions, and somebody (anybody!) writes the postmortem. Every handoff introduces more context switching, increasing the risk of critical information loss, and ultimately slowing resolution.
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Building an AI Assistant That Actually Understands Your Incidents

Oct 13, 2026 By Datadog In Datadog
When production breaks, the clues are everywhere but the story is scattered. RUM sessions, APM traces, metrics, and logs allow Datadog to tell you part of the story. What’s missing is your service ownership quirks, your team's conventions, or the three-year-old workaround buried in a comment that explains why a certain endpoint behaves the way it does.
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Democratizing Incident Response with AI at Riot Games - SRE Track

Oct 13, 2026 By Datadog In Datadog
Senior engineers are the pillars of SRE programs—not only do they have the leadership to manage incidents well, they also have the tribal knowledge to understand the technical causes of tricky issues. But when the know-how is confined to a few individuals, it greatly limits the effectiveness of your SRE team.
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How Do You Review 10x the Code? You Don't - Developer Track

Oct 13, 2026 By Datadog In Datadog
AI is generating code at 10x human speed, but we’re not shipping software 10x faster. Agents have a quality problem, and we still can’t trust their output without validation. Breaking the code review model didn’t help. So what would it take to autonomously ship code that’s actually trustworthy? Join us to explore what an agentic harness looks like when the SDLC is the harness, a validation system that spans intent, CI, staging, and production, with context flowing bidirectionally between all stages.
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Datadog San Francisco Summit: Keynote

Oct 13, 2026 By Datadog In Datadog
Datadog has always been driven by a broader vision of helping teams understand and operate complex systems. In this session, you'll hear from Michael Whetten, Senior Vice President of Product Management, and Cansu Berkem, Director of Product Management, as they share the latest updates across the Datadog product suite and discuss how that vision continues to shape the platform's evolution and support the next generation of AI-driven applications.
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We Upgraded SigNoz Infrastructure Monitoring for Deeper Visibility and Faster Troubleshooting

Oct 13, 2026 By SigNoz - Open Source Observability Platform In SigNoz
A quick walkthrough of the new infrastructure monitoring experience in SigNoz Cloud. We’ve made several additions to give you more visibility into your infrastructure health and help you troubleshoot faster. Here’s what’s new,
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raygun

Raygun APM Agent 3.1: async traces that stay with the right request

Oct 6, 2026 By Phillip Haydon In Raygun
Raygun APM Agent 3.1 introduces more accurate asynchronous request tracing for Windows, Linux, and Azure App Service. Version 3.0 rebuilt the foundation of the Agent, profiler, installers, and release pipeline. Version 3.1 builds on that work with a focused improvement for ASP.NET Core: automatic request correlation that follows asynchronous execution without requiring developers to instrument their application. The result is a more accurate trace, with less duplication and a clearer view of the work performed for each web request.
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coralogix

The new APM experience: every service monitored from day one, and ready for your AI agent

Sep 29, 2026 By Coralogix Team In Coralogix
Coralogix APM has told you which service is behind the latency. From today, the new APM experience tells you what is behind the service: the release, the environment, or the query one layer down. It watches every service you run from the moment it appears, without anyone writing an alert. And everything you see on the screen, your AI agent can use too: in Olly, from the Coralogix CLI, or through MCP in your IDE. A latency chart shows that something got slow.
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