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DevOps

Continuous innovation and optimization – build better software faster with metric-driven DevOps.

Federal DevOps: Learning from Government

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Dynatrace on Dynatrace: Detecting Regressions in Continuous Performance Environments

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Dynatrace on Dynatrace: Detecting Architectural Regressions in Continuous Functional Testing

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OpenStack network mystery: How 2 bytes cost me two days of trouble

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Using the Dynatrace DevOps Pipeline State UFO

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DevOps from the Front Lines: Enterprise Adoption Principles and Pitfalls

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Causation and Correlation: What difference does it make?

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How Ulta Beauty is Pushing the limits of application visibility

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Transformation to Continuous Innovation and Optimization

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The opposite of war room isn’t peace room

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When configuration settings from development wreak havoc in production

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Dynatrace in a Microservices World with Ansible, Bamboo & Docker

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Mission (im)possible – How to identify objects causing memory leaks

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Top DevOps Tools We Love

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How Stable are Your Unit Tests? Best Practices to Raise Test Automation Quality

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Best Practices for Performance-focused DevOps

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Why Object Caches need to be Memory-sensitive – Guest Blog by Christopher André

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How Garbage Collection differs in the three big JVMs

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How to avoid the Top 5 SharePoint Performance Mistakes

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.NET Performance Analysis: A .NET Garbage Collection Mystery

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