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