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Prometheus and Open-Source Observability with Eric Schabell
Manage episode 477162390 series 1418208
Content provided by Podcast Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Podcast Archives - Software Engineering Daily or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Modern cloud-native systems are highly dynamic and distributed, which makes it difficult to monitor cloud infrastructure using traditional tools designed for static environments. This has motivated the development and widespread adoption of dedicated observability platforms.
Prometheus is an open-source observability tool designed for cloud-native environments. Its strong integration with Kubernetes and pull-based data collection model have driven its popularization in DevOps. However, a common challenge with Prometheus is that it struggles with large data volumes and has limited cost-optimization capabilities. This raises the question of how best to handle Prometheus deployments at large scale.
Eric Schabell works in DevRel at Chronosphere where he’s the Director of Community and Developer. He is also a CNCF Ambassador. Eric joins the show with Kevin Ball to talk about metrics collection, time series data, managing Prometheus at scale, tradeoffs between self-hosted vs. managed observability, and more.
Full Disclosure: This episode is sponsored by Chronosphere.
Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
Sponsorship inquiries: [email protected]
The post Prometheus and Open-Source Observability with Eric Schabell appeared first on Software Engineering Daily.
872 episodes
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Manage episode 477162390 series 1418208
Content provided by Podcast Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Podcast Archives - Software Engineering Daily or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Modern cloud-native systems are highly dynamic and distributed, which makes it difficult to monitor cloud infrastructure using traditional tools designed for static environments. This has motivated the development and widespread adoption of dedicated observability platforms.
Prometheus is an open-source observability tool designed for cloud-native environments. Its strong integration with Kubernetes and pull-based data collection model have driven its popularization in DevOps. However, a common challenge with Prometheus is that it struggles with large data volumes and has limited cost-optimization capabilities. This raises the question of how best to handle Prometheus deployments at large scale.
Eric Schabell works in DevRel at Chronosphere where he’s the Director of Community and Developer. He is also a CNCF Ambassador. Eric joins the show with Kevin Ball to talk about metrics collection, time series data, managing Prometheus at scale, tradeoffs between self-hosted vs. managed observability, and more.
Full Disclosure: This episode is sponsored by Chronosphere.
Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
Sponsorship inquiries: [email protected]
The post Prometheus and Open-Source Observability with Eric Schabell appeared first on Software Engineering Daily.
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Similar to Podcast Archives - Software Engineering Daily
Technical interviews about software topics.
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continue reading
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…
continue reading
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continue reading
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continue reading
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…
continue reading
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