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Is Kubernetes Monitoring Flawed? - OpenObservability Talks S3E08

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内容由Dotan Horovits提供。所有播客内容(包括剧集、图形和播客描述)均由 Dotan Horovits 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

A 3-node Kubernetes cluster with Prometheus will ship around 40k active series by default! Do we really need all that data? The current state of Kubernetes open source monitoring is in need of improvement. High churn rate of pod metrics, proliferation of metrics with low usage, and configuration complexity are some of the issues that need to be addressed.

I discussed this topic with Aliaksandr Valialkin, CTO at VictoriaMetrics and creator of the open source project. We discussed the common problems, as well as directions and best practices to overcome some of these complexities as individuals and as a community. We also discussed VictoriaMetrics open source project and how it addresses some of these challenges.

Aliaksandr a Golang engineer, who likes writing simple and performant code and creating easy-to-use programs. Sometimes these hard-to-match requirements work together, like in the VictoriaMetrics case.

The episode was live-streamed on 24 January 2023 and the video is available at https://www.youtube.com/live/Z-58C8HFGb8

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/@openobservabilitytalks

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:

  • monitoring microservice system, app and communications
  • high churn rate for pod metrics
  • Kubernetes produces too many metrics by defaults, most of which are unused
  • recommended listing of metrics
  • removing unused metric labels to reduce cardinality
  • Prometheus native (exponential buckets) historgrams
  • Configuration complexity with multiple deployments
  • OpenTelemetry and OpenMetrics open specifications
  • collecting system metrics and application metrics uniformly
  • VictoriaMetrics essentials
  • VictoriaMetrics extensions beyond Prometheus
  • a full stack monitoring collection, analysis and alerting
  • how to join the VictoriaMetrics community
  • industry update: 2023 cloud native predictions post by CNCF CTO

Resources:

Socials:

Dotan Horovits

Twitter: https://twitter.com/horovits
LinkedIn: https://www.linkedin.com/in/horovits/

Aliaksandr Valialkin

Twitter: https://twitter.com/valyala
LinkedIn: https://www.linkedin.com/in/valyala/

  continue reading

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icon分享
 
Manage episode 353546841 series 3252969
内容由Dotan Horovits提供。所有播客内容(包括剧集、图形和播客描述)均由 Dotan Horovits 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

A 3-node Kubernetes cluster with Prometheus will ship around 40k active series by default! Do we really need all that data? The current state of Kubernetes open source monitoring is in need of improvement. High churn rate of pod metrics, proliferation of metrics with low usage, and configuration complexity are some of the issues that need to be addressed.

I discussed this topic with Aliaksandr Valialkin, CTO at VictoriaMetrics and creator of the open source project. We discussed the common problems, as well as directions and best practices to overcome some of these complexities as individuals and as a community. We also discussed VictoriaMetrics open source project and how it addresses some of these challenges.

Aliaksandr a Golang engineer, who likes writing simple and performant code and creating easy-to-use programs. Sometimes these hard-to-match requirements work together, like in the VictoriaMetrics case.

The episode was live-streamed on 24 January 2023 and the video is available at https://www.youtube.com/live/Z-58C8HFGb8

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/@openobservabilitytalks

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:

  • monitoring microservice system, app and communications
  • high churn rate for pod metrics
  • Kubernetes produces too many metrics by defaults, most of which are unused
  • recommended listing of metrics
  • removing unused metric labels to reduce cardinality
  • Prometheus native (exponential buckets) historgrams
  • Configuration complexity with multiple deployments
  • OpenTelemetry and OpenMetrics open specifications
  • collecting system metrics and application metrics uniformly
  • VictoriaMetrics essentials
  • VictoriaMetrics extensions beyond Prometheus
  • a full stack monitoring collection, analysis and alerting
  • how to join the VictoriaMetrics community
  • industry update: 2023 cloud native predictions post by CNCF CTO

Resources:

Socials:

Dotan Horovits

Twitter: https://twitter.com/horovits
LinkedIn: https://www.linkedin.com/in/horovits/

Aliaksandr Valialkin

Twitter: https://twitter.com/valyala
LinkedIn: https://www.linkedin.com/in/valyala/

  continue reading

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