Make your Spark jobs run faster and cheaper

Akamas optimizes configurations to improve big data performance and resilience

-20%

Reduction in average job execution time

-80%

Savings in engineering time for manual tuning

-50%

Decrease in cost with the same performance

Datadog DASH 2026

Tue 9 Jun 2026 – 8:00 AM

New York

Tech deep dives, product news, and Akamas stories – all in one place

In the world of fine dining, the tension in the kitchen is palpable long before…

A critical realization has emerged within the platform engineering community: while the industry has excelled…

Modern Kubernetes environments are not monolithic; they are diverse ecosystems hosting a multitude of applications…

Platform engineers rely on the Kubernetes cluster autoscaler to control cloud cost. However, the autoscaler…

The promise of Kubernetes lies in seamless scalability, yet running high-performance Node.js applications often reveals…

Modern Kubernetes environments rely heavily on the Horizontal Pod Autoscaler (HPA) and tools like KEDA…

Experience the benefits of Akamas autonomous optimization.
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