Application development and release cycles are now measured in days rather than months. The scope and complexity of tech stack configuration options continue to grow, and dependencies have become unpredictable. Without automation, performance engineers and developers can no longer ensure that applications work as planned and costs are minimized.

Akamas' novel approach, Autonomous Performance Optimization, automates the performance optimization process with minimal expert intervention and oversight. It uses AI and machine learning techniques to automatically and continuously optimize the technology stack to deliver unprecedented application performance, deployment flexibility, and cost savings.

In this Performance Clinic, Stefano Doni from Akamas walks us through the practical steps you need to take to automate optimizations of your enterprise, cloud or database systems using Dynatrace observation data.

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