Akamas announced the General Availability of Akamas Insights, the newest module of the Akamas Platform.
Initially launched in beta earlier this year, Akamas Insights brings a patented AI-driven optimization solution that enables organizations to achieve reliable and cost-efficient performance across Kubernetes environments – effortlessly and collaboratively.
Akamas Insights analyzes telemetry from existing observability tools such as Prometheus, Datadog, Dynatrace, or OpenTelemetry to automatically detect where cost inefficiencies and reliability risks originate across the stack — from clusters to application runtimes. It then provides ready-to-apply recommendations that allow developers, SREs, and platform engineers to align on safe, data-backed optimizations.
“Observability gave teams visibility; Akamas turns that visibility into actions,” said Enrico Bruschini, COO of Akamas. “With Insights, optimization becomes effortless and collaborative — a shared process that helps every team deliver reliability and efficiency at once.”
Akamas Insights brings all roles into one optimization workflow. By surfacing cost and risk insights in the same view and quantifying the impact of each recommendation, it enables clear prioritization and safe, measurable improvement across teams.
“With Insights, we connect the dots between application runtimes and Kubernetes infrastructure,” said Stefano Doni, CTO of Akamas. “Teams can finally see — and fix — the inefficiencies that cause waste and reliability issues, all from the same data they already have.”
SREs can easily spot unreliable applications and raise a PR from Akamas with all its recommended changes. Developers can review and approve the PR, effortlessly optimizing full-stack while remaining in control.
As teams gain confidence, Akamas can automate more steps under policy-driven governance, until optimization becomes a native platform capability — continuous, autonomous, and always aligned with business goals.
Akamas Insights joins Akamas Offline as part of the Akamas Platform, the only solution that supports both continuous optimization in production and automated performance tuning in pre-production, powered by a patented AI Engine.
- Akamas Offline – runs controlled experiments to identify optimal configurations before production.
- Akamas Insights – continuously analyzes observability data to recommend and apply safe optimizations in production.
Together, they enable enterprises to continuously improve reliability, cost efficiency, and performance safely and at scale, across modern cloud-native systems.
“Our customers believe that performance, reliability, and cost can no longer be managed in silos,” added Bruschini. “Akamas helps unify these goals under one intelligent process — measurable, governed, and trusted.”
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