Akamas is the autonomous optimization platform that unites developers, SREs, and platform engineers around one goal: delivering reliable, efficient services.
By connecting directly to your observability data, Akamas detects optimization opportunities, estimates their impact on cost and reliability, and recommends or applies safe, validated optimizations across the full stack - from applications to clusters.
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.
