As someone who’s spent too much time tweaking JVM flags and K8s resource limits by trial-and-error, this is interesting. Performance tuning is usually a painful feedback loop, so having automated insights tied to real observability data feels like a big win
Congrats on the GA release!
It’s great to see more focus on data-driven optimization that goes beyond cost dashboards and actually closes the loop with actionable, validated changes.
As someone who’s spent too much time tweaking JVM flags and K8s resource limits by trial-and-error, this is interesting. Performance tuning is usually a painful feedback loop, so having automated insights tied to real observability data feels like a big win
Congrats on the GA release! It’s great to see more focus on data-driven optimization that goes beyond cost dashboards and actually closes the loop with actionable, validated changes.
Awesome work, team, this is exactly the kind of invisible magic every engineering org needs. Ship it!
A fresh and innovative approach to a largerly widespread and ignored problem
Great! Good tool for optimize resource across all the stack.
Congrats for the new tool for k8s cost optimizations
Awesome stuff! Finally I can have some control on my cluster spending!
Finally an automated solution to this hassle!
can't wait to test it
Super!
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