Today SREs and application teams are often struggling to ensure that their services relying on Kubernetes clusters deliver stable and reliable user experience.

Kubernetes is a great platform to run cloud-native microservices applications because of its sophisticated workload orchestration, self-healing and bin-packing features. However, it also requires users to properly define cluster size, type of nodes, pod resource requests and limits (and several other settings) that can impact both the application availability, performance and the overall cost to operate Kubernetes clusters. This has proven to be a daunting task.

We are asking all SREs, application developers, Kubernetes administrators, and Observability and Performance Engineering experts to join us on November 24th to discuss these challenges and how to successfully overcome them by:

  • learning how Kubernetes resource management mechanisms impact performance and reliability;
  • getting adequate visibility on cluster performance leveraging Dynatrace;
  • optimizing Kubernetes applications balancing reliability, performance and cost using machine learning.

Please make sure to submit your questions and topics you would like to see discussed.

Online Event
Start Date:
24 Nov 2021 - 12:30 pm EST
End Date:
24 Nov 2021 - 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.

Henrik Rexed, Dynatrace

Henrik is a Cloud Native Advocate at Dynatrace. He has been working in the performance world for more than 15 years, delivering projects in all contexts including extremely large cloud testing on the most demanding business areas. He is also one of the organizers of the Performance Advisory Council conference and the owner of the Youtube Channel IsitObservable.

See for yourself.

Experience the benefits of Akamas autonomous optimization.

No overselling, no strings attached, no commitments.

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