4 ms·

I may be cynical here, but I find that all open source datadog alternatives are mostly frontend focussed with an out of the box database. And it does not scale

• swyx 3y ago
  presumably that is the right place to start for a datadog competitor because ddog is not going to care about smol instances that arent at scale that they can’t charge a bajillion for
  • esafak 3y ago
    But you have to be ready for day two. Nobody is going to pick an observability solution that does not scale. Some scalability is table stakes.
• mikeshi42 3y ago
  We're one of those OSS alternatives (HyperDX) - built on Clickhouse. While I can't say it's stupid simple to scale Clickhouse (because anything stateful is inherently hard to scale), it's orders of magnitude easier than other platforms like Elastic and gives you a lot more flexible tuning options (last co I was at, we ran that at massive scale, it was an absolute handful). In theory, you can get away with just running a Clickhouse instance purely backed by S3 to get durability + scalability (at the cost of performance of course). It all depends on what scale you're running at and the HA/performance requirements you need.
• francoismassot 3y ago
  Quickwit is an alternative with a strong focus on scalability (max we have seen is 40PB) with a decoupled compute and storage architecture. But we do only logs and traces for now. Repository: https://github.com/quickwit-oss/quickwit https://github.com/quickwit-oss/quickwit Latest release: https://quickwit.io/blog/quickwit-0.8 https://quickwit.io/blog/quickwit-0.8