Observability at Scale with AI with Jacob Leverich
Description
In this episode of the DevOps Toolchain podcast, Joe Colantonio sits down with Jacob Leverich, cofounder and Chief Product Officer at Observe, to explore how AI and cutting-edge data strategies are transforming the world of observability.
With a career spanning heavyweight roles from Splunk to Google and Kuro Labs, Jacob shares his journey from banging out Perl scripts as a Linux sysadmin to building scalable, data-driven solutions that address the complex realities of today’s digital infrastructure.
Tune in as Joe and Jacob explore why traditional monitoring approaches are struggling with massive data volumes, how knowledge graphs and data lakes are breaking down tool silos, and what engineering leaders often get wrong when scaling visibility across teams.
Whether you’re a tester, developer, SRE, or team lead, get ready to discover actionable insights on maximizing the value of your data, the true role of AI in troubleshooting, and practical tips for leading your organization into the future of DevOps observability. Don’t miss it!
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