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Meta’s data driven approach to observability - OpenObservability Talks S3E06
Manage episode 347820618 series 3252969
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
OpenObservability Talks episodes are released monthly, on the last Thursday of each month and are available for listening on your favorite podcast app and on YouTube.
We live-stream the episodes on Twitch and YouTube Live - tune in to see us live, and chime in with your comments and questions on the live chat.
https://www.twitch.tv/openobservability
https://www.youtube.com/channel/UCLKOtaBdQAJVRJqhJDuOlPg
Have you got an interesting topic you'd like to share in an episode? Reach out to us and submit your proposal at https://openobservability.io/
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:
52集单集
Manage episode 347820618 series 3252969
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
OpenObservability Talks episodes are released monthly, on the last Thursday of each month and are available for listening on your favorite podcast app and on YouTube.
We live-stream the episodes on Twitch and YouTube Live - tune in to see us live, and chime in with your comments and questions on the live chat.
https://www.twitch.tv/openobservability
https://www.youtube.com/channel/UCLKOtaBdQAJVRJqhJDuOlPg
Have you got an interesting topic you'd like to share in an episode? Reach out to us and submit your proposal at https://openobservability.io/
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:
52集单集
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