Akamas Insights is an AI-powered optimization solution for Kubernetes. It analyzes telemetry from tools like Prometheus, Datadog, and Dynatrace to automatically detect inefficiencies and reliability risks across clusters, pods, and runtimes. It then provides ready-to-apply, data-backed configuration recommendations — enabling safe, continuous, full-stack optimization.
@stefano_doni Congrats!
Quite powerful tool to tame the huge complexity of analyzing performance, bottleneck and mainly waste potential in AWS envs. And nice looking too!
From a performance engineering perspective, this should hit close to home.
That’s the kind of automation that could save teams a lot of tuning cycles and post-incident retrospectives.
Hi everyone,
I currently work at Akamas and Insights is our latest tool for addressing the often ignored problem of cloud related costs. It's a SaaS applictaion so it's unintrusive and you don't need to install it in your kubernetes cluster. You just need to supply your cluster's telemetry data from compatible sources (currently we support Dynatrace, Datadog, Prometheus and AWS-managed Prometheus) and Akamas Insights will import them and compute cost saving recommendations and potential cluster configuration problems. Recommendations can also be fine-tuned with specific profiles (e.g.: 'max stability' or 'max savings').
Interested? Just ask Akamas team for a free trial