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Long-Term Metrics with M3 and Prometheus - OpenObservability Talks S1E3

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Manage episode 314577142 series 3252969
Content provided by Dotan Horovits. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dotan Horovits 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://player.fm/legal.

Episode 3 of OpenObservability Talks, where we'll be hosting Matt Schallert of Chronosphere. The topic for this episode is Long-Term Metrics with M3 and Prometheus.

Prometheus is the de facto solution when getting started with metrics, supporting use cases where a single node can store the entire dataset. When it comes to scaling out workloads or storing long-term data, Prometheus offers the Remote Write and Read interfaces to integrate with other storage solutions.

In this talk, Matt will show attendees how they can scale their existing Prometheus metrics workloads with M3, an open-source metrics platform originated at Uber. Matt will discuss the background of Prometheus’s remote storage interfaces, and how they enable users to integrate with any number of systems they’re familiar with. He will demonstrate how quickly users can get an M3 stack up and running and integrate it with Prometheus.

The audience will walk away with a better understanding of the challenges of effectively scaling their metrics workloads, and how they can overcome these challenges with open source tools such as M3.

This was first streamed at https://www.twitch.tv/openobservability on August 27th and the full video is available at https://www.youtube.com/watch?v=XQ_yCLyAMLU

Links Shared in the recording:

If you have a talk or a subject you'd like to talk about send it here https://forms.gle/pTVwDMCP1fK32tAF9

Socials:

  continue reading

49 episodes

Artwork
iconShare
 
Manage episode 314577142 series 3252969
Content provided by Dotan Horovits. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dotan Horovits 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://player.fm/legal.

Episode 3 of OpenObservability Talks, where we'll be hosting Matt Schallert of Chronosphere. The topic for this episode is Long-Term Metrics with M3 and Prometheus.

Prometheus is the de facto solution when getting started with metrics, supporting use cases where a single node can store the entire dataset. When it comes to scaling out workloads or storing long-term data, Prometheus offers the Remote Write and Read interfaces to integrate with other storage solutions.

In this talk, Matt will show attendees how they can scale their existing Prometheus metrics workloads with M3, an open-source metrics platform originated at Uber. Matt will discuss the background of Prometheus’s remote storage interfaces, and how they enable users to integrate with any number of systems they’re familiar with. He will demonstrate how quickly users can get an M3 stack up and running and integrate it with Prometheus.

The audience will walk away with a better understanding of the challenges of effectively scaling their metrics workloads, and how they can overcome these challenges with open source tools such as M3.

This was first streamed at https://www.twitch.tv/openobservability on August 27th and the full video is available at https://www.youtube.com/watch?v=XQ_yCLyAMLU

Links Shared in the recording:

If you have a talk or a subject you'd like to talk about send it here https://forms.gle/pTVwDMCP1fK32tAF9

Socials:

  continue reading

49 episodes

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