Ignite by Akamas with Stefano Doni

There is a “dark side” to Kubernetes that makes it difficult to ensure the desired performance and resilience of cloud-native applications, while also keeping their costs under control.

Indeed, the combined effect of Kubernetes resource management mechanisms and application runtime heuristics may cause serious performance and resilience risks.

  • How to best align the sizing of the container with the resource requirements of the applications running on it?
  • How to avoid CPU throttling impacting response time?
  • What is the right heap size and Garbage Collection type to minimize cost and avoid out-of-memory (OOM) issues?

On the other hand, there are also significant potential improvements, both in terms of performance and efficiency, that can be achieved by properly tuning Kubernetes and application runtime (e.g. JVM, Golang) configuration settings.

In this webinar, we illustrate how the Akamas AI-powered optimizations platform addresses these challenges by making it possible to set the optimization goals (e.g. cost reduction) and constraints (e.g. performance SLOs) and get recommendations on how to adjust configuration settings dynamically under the varying workload.

Feel free to anticipate any questions you would like to see discussed during the Q&A session. 

Start Date:
25 Jan 2023 - 12:30 pm EST
End Date:
25 Jan 2023 - 1:30 pm EST


Stefano Doni

Stefano is obsessed with performance optimization and leads the Akamas vision for Autonomous Performance Optimization powered by Al. With more than 15 years of experience in the performance industry, he has worked on projects for major national and international enterprises.

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