AI in OpenObserve: How Correlation Cuts MTTD and MTTR and What We’re Building Next
December 18, 2025
11:00 AM ET
1 hour
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What you'll learn
Learn how AI-driven alert correlation groups related telemetry to cut noise and improve detection.
Understand how these capabilities reduce MTTD and MTTR in real incident workflows.
See what AIOps features OpenObserve is releasing next and how they fit into existing systems.
Teams are dealing with rising alert volume, long investigation cycles, and fragmented telemetry. This session dives into how OpenObserve uses AI-powered alert correlation to surface related events, reduce noise, and shorten incident timelines. We will walk through what is already live in the product, how organizations are using it to reduce MTTD and MTTR, and what AIOps capabilities we are releasing next. You will leave with a clear view of how AI observability is evolving inside OpenObserve and how to adopt it in your own workflows.
Resources
About the Speakers
Shraddha Kishan Tripathi
Shraddha Kishan is a backend developer with experience in Rust, Linux, and AI. With extensive experience at building products and features zero-to-one, he excels at driving business value through unique solutions and automation.
Manas Sharma
Manas is a passionate Dev and Cloud Advocate with a strong focus on cloud-native technologies, including observability, cloud, kubernetes, and opensource communities--building bridges between tech and community.