November 23, 2022

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

1 hour

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

Socials:

Twitter: https://twitter.com/OpenObserv

Twitch: https://www.twitch.tv/openobservability

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

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By Dotan Horovits

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