A Prometheus fork for cloud scale anomaly detection across metrics and logs

  • Did you raise the challenges you had with Prometheus to the dev team and community? They are usually quite responsive and open for contributions. I'd be interested in the discussion around the reasons you brought up for forking.

  • Yet another Prometheus/time-series backend project.

    And yet again, it would be far better to just export the data from Prometheus into a distributed columnstore data warehouse like Clickhouse, MemSQL, Vertica (or other alternatives). This gives you fast SQL analysis across massive datasets, real-time updates regardless of ordering, and unlimited metadata, cardinality and overall flexibility.

    Prometheus is good at scraping and metrics collection, but it's a terrible storage system.

  • Alternative title: "We layered compression on top of the Prometheus remote storage adapter"

  • Anyone know what statistical models Prometheus uses?

    Having scanned this article, read the wikipedia entry and hit the landing page, I am none the wiser.

  • Anomaly detection is snake oil.