Accelerating Resolution with Autonomous Incident Response v1

Datadog
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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. Join Cansu Berkem, Director of Product Management, as she shares how Datadog is rethinking incident response with an end to end workflow that brings people, automation, and AI together. She will share how AI agents and automation help teams accelerate investigations, improve incident coordination, reduce MTTR, and eliminate repetitive follow up work. You'll also see how organizations can modernize incident response incrementally, without replacing every third party tool they rely on today. You will leave with a framework for simplifying incident response, evaluating where agents can save you time, and introducing automation in a way that fits your existing tools and operating model.

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