InfoQ Homepage Observability Content on InfoQ
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Liran Haimovitch on Understandability, Complexity, and Live Debugging
In this podcast, Liran Haimovitch, CTO at Rookout, sat down with InfoQ podcast co-host Daniel Bryant. Topics discussed included: the concept of “understandability” and how this relates to building modern software systems, how complexity impacts a system’s understandability, and the benefits of live debugging tooling.
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Rob Skillington on Metrics Collection, Uber’s M3, and OpenMetrics
In this podcast, Rob Skillington, co-founder and CTO at Chronosphere, sat down with InfoQ podcast co-host Daniel Bryant. Topics discussed included: metrics collection at scale, multi-dimensional metrics and high-cardinality, developer experience with platform tooling, and open standards related to observability.
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Greg Law on Debugging, Record & Replay of Data, and Hyper-Observability
In this podcast, Daniel Bryant discussed with Greg Law, CTO at Undo, the challenges with debugging modern software systems, the need for “hyper-observability” and the benefit of being able to record and replay exact application execution.
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Josh Wills on Building Resilient Data Engineering and Machine Learning Products at Slack
Josh Wills, a software engineer working on data engineering problems at Slack, discusses the Slack data architecture and how they build and observe their pipelines.
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Ben Sigelman, Co-Creator of Dapper & OpenTracing API, on Observability
Ben Sigelman is the CEO of Lightstep and the author of the Dapper paper that spawned distributed tracing discussions in the software industry. Sigelman discusses with Wes Reisz observability, and his thoughts on logging, metrics, and tracing. The two discuss detection and refinement as the real problem when it comes to diagnosing and troubleshooting incidents with data.