Application development and release cycles are today measured in days, instead of months. Configuration options of the tech stack continue to increase in scope and complexity, with dependencies that have become unpredictable. Without automation, Performance engineers and developers can no longer ensure that applications perform as planned, and costs are minimized.
Akamas’ novel approach, Autonomous Performance Optimization, automates the performance optimization process with minimal intervention and oversight from experts. It uses AI and machine learning techniques to automatically and continuously optimize the technology stack, delivering unprecedented application performance, deployment agility, 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 leveraging observability data from Dynatrace.
