DevOps
Continuous innovation and optimization – build better software faster with metric-driven DevOps.
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Dynatrace on Dynatrace: Detecting Regressions in Continuous Performance Environments
Dynatrace on Dynatrace: Detecting Architectural Regressions in Continuous Functional Testing
OpenStack network mystery: How 2 bytes cost me two days of trouble
Using the Dynatrace DevOps Pipeline State UFO
DevOps from the Front Lines: Enterprise Adoption Principles and Pitfalls
Causation and Correlation: What difference does it make?
How Ulta Beauty is Pushing the limits of application visibility
Transformation to Continuous Innovation and Optimization
The opposite of war room isn’t peace room
When configuration settings from development wreak havoc in production
Dynatrace in a Microservices World with Ansible, Bamboo & Docker
Mission (im)possible – How to identify objects causing memory leaks
Top DevOps Tools We Love
How Stable are Your Unit Tests? Best Practices to Raise Test Automation Quality
Best Practices for Performance-focused DevOps
Why Object Caches need to be Memory-sensitive – Guest Blog by Christopher André
How Garbage Collection differs in the three big JVMs
How to avoid the Top 5 SharePoint Performance Mistakes
.NET Performance Analysis: A .NET Garbage Collection Mystery
Performance vs. Scalability
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