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About this Podcast
Intended for architects and senior developers.
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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.
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Pam Selle on Serverless Observability
On this podcast, Pam Selle (an engineer for IOPipe who builds tooling for serverless observability) talks about the case for serverless and the challenges for developing observability solutions. Some of the things discussed on the podcast include tips for creating boundaries between serverless and non-serverless resources and how to think of distributed tracing in serverless environments.
