mimir

Grafana Labs (https://grafana.com/) | Fully remote in many regions | Multiple roles | Full-time You can find all open positions at https://grafana.com/about/careers/open-positions/ and learn more about us here: https://grafana.com/about/careers/#jobs For my team, I’m looking for a Senior Software Engineer based in the UK, Sweden, Spain, or Germany to work on https://github.com/grafana/mimir What I'm looking for: - Technical expertise: You have strong experience with at least one programming language (Go, Python, C++, Rust), Cloud-Native applications (Kubernetes, Kafka protocol), DevOps practices, and writing maintainable code. Familiarity with observability tools is a plus. - Customer focus: You’re energized by working with large companies that depend on your work for critical operations and are ready to be on-call. - Pragmatism: You thri

It consists of 6 separate components to run, plus 4 additional optional components [1]. And I don't even count 5 additional caches [2]. How is that "simple and easy"? [1] https://grafana.com/docs/mimir/latest/references/architectur... [2] https://github.com/grafana/mimir/blob/9a52522a05f25d6d6bc2e8...

Go with Mimir. It is Prometheus compatible and horizontally scalable for read/write path separately. Mimir: https://github.com/grafana/mimir

Scrape is typically just how people get started and works well for small and medium things, it gets you a long way before you need to consider it. Prometheus remote_write is what people graduate to, this gets you the rest of the way, and you are correct it's less PITA at scale. If you're looking for retention your choices are large, there's Cortex (CNCF), Mimir (most Cortex work moved here), Thanos, VictoriaMetrics, TimeScale, Chronosphere, and many others. All seek to do a similar thing from a distance, they all store metrics (likely from Prometheus) and allow retention and some variety of how to query it (if you want SQL you got it, if you want non-standard functions you go it, if your reads are more important than your writes you got it, if you need a billion active series you got it, etc). If what you want is "Prometheus but bigger" t

Full title was a bit wordy and did not fit the limit, I've attempted to keep the essence of it. This is the launch of OSS write proxies that allows data from other agents to be ingested into the Grafana Mimir ( https://github.com/grafana/mimir ) metrics TSDB.

Still AGPL, which I guess makes sense given the rest of their stack is too: https://github.com/grafana/mimir/blob/mimir-2.0.0/LICENSE

It's hard to tell exactly how this works but judging from the tutorial's docker-compose.yml [0] it looks like this runs as a separate API next to Prometheus and you tell Prometheus to write [1] to Mimir. I'm unclear how reads work from it or maybe there is no read? Maybe I'm completely misunderstanding. [0] https://github.com/grafana/mimir/blob/main/docs/sources/tuto... [1] https://github.com/grafana/mimir/blob/main/docs/sources/tuto...

There isn't a link to the project on the page (that I could find) so it almost looked like it's not open source. But here it is: https://github.com/grafana/mimir.