Learn from our three-year journey optimizing thousands of Kubernetes pods across multiple enterprise environments.

In this brand-new Ignite episode, we’ll share the key lessons we discovered while maximizing application reliability and reducing cluster resource costs.

What we discovered challenged many common assumptions about Kubernetes optimization.

Join us to learn:

  • Why traditional resource optimization approaches often fall short
  • How application-aware optimization leads to better results
  • Real-world examples of significant cost savings and reliability improvements
  • Practical techniques you can implement in your environment

Whether you’re managing dozens or thousands of pods, you’ll leave with actionable insights to improve your Kubernetes operations.

Matteo Fabiano

Where:
Online
Start Date:
21 Nov 2024 - 12:30 pm EDT
End Date:
21 Nov 2024 - 1:30 pm EDT

Speakers

Stefano Doni

Stefano is obsessed with performance optimization and, as CTO, 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.

Mauro Pessina

Mauro Pessina has more than 10 years of experience as a Performance Engineer working with best-in-class performance testing and observability platforms. Today, Mauro leads Sales Engineering and Solution Architecture at Akamas. Previously he led the Performance Engineering team at Moviri with a special focus on continuous performance optimization of modern cloud-native applications.

See for yourself.

Experience the benefits of Akamas autonomous optimization.

No overselling, no strings attached, no commitments.

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