Meta’s data driven approach to observability - OpenObservability Talks S3E06

OpenObservability Talks

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At Meta (Facebook, Instragram et al) everything is data, and data driven approach is the rule, from product to engineering, from HR to finance. This is also how the team at Meta treats observability. Let’s see how we treat observability as a data analytics problem, and what you can implement, even if you’re not a hyperscaler.

On this episode I’ll host David Ostrovsky from Meta. David is a software developer with over 20 years of industry experience, speaker, trainer, blogger and co-author of “Pro Couchbase Server”. He specializes in large-scale distributed system architecture.

The episode was live-streamed on 7 November 2022 and the video is available at https://youtu.be/1l0HKUDoX4Q

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Show Notes:

Addressing business observability
Machine learning and predictions in observability
From the business inwards, using SLOs
Accelerate engineering quality with developer observability
Organizational and communications aspects of high scale observability
Actionable observability
How small-medium size orgs can achieve a similar effect
OpenTelemetry demo is GA
PromLens is open sourced and contributed to Prometheus

Resources:

TEMPLE signals for observability: https://medium.com/@YuriShkuro/temple-six-pillars-of-observability-4ac3e3deb402
PromLens open sourced: https://promlabs.com/blog/2022/10/25/promlabs-and-chronosphere-open-source-the-promlens-query-builder

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YouTube: https://www.youtube.com/channel/UCLKOtaBdQAJVRJqhJDuOlPg

49 episodes

#Tech #Dotan Horovits, Jonah Kowall #Dotan Horovits #Jonah Kowall