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.
Comments
gibbo87•1h ago
A fresh and innovative approach to a largerly widespread and ignored problem
lucacavazzana•1h ago
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.
giuselon•1h ago
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
gzano93•1h ago
Awesome stuff! Finally I can have some control on my cluster spending!
selene_malosso•1h ago
Awesome work, team, this is exactly the kind of invisible magic every engineering org needs. Ship it!
giobaldac•1h ago
Congrats for the new tool for k8s cost optimizations
lucaforni•1h ago
Super!
lucacavagnis•1h ago
Finally an automated solution to this hassle!
bertux•1h ago
Great! Good tool for optimize resource across all the stack.
gibbo87•1h ago