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: M3 Virtual Meetup https://www.meetup.com/M3-Community/ M3 Slack Community https://bit.ly/m3slack If you have a talk or a subject you'd like to talk about send it here https://forms.gle/pTVwDMCP1fK32tAF9 Socials: Twitter: https://twitter.com/OpenObserv Twitch: https://www.twitch.tv/openobservability Website: https://openobservability.io/ --- Send in a voice message: https://anchor.fm/openobservability/message