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

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Partner Spotlight: Neotys & Dynatrace redefine performance engineering

Using AI and automation to build resiliency into Azure DevOps

The Chinese ‘Para-Box’: Pipelines and Continuous Delivery

Press release

Dynatrace opens its market-leading AIOps solution to third parties for smart autonomous cloud management

Deployment Automation and Self-Healing with Dynatrace & Ansible

How Dynatrace helped us to spot one of the biggest trojan crypto miners in Jenkins

Shift-Left SRE: Building Self-Healing into your Cloud Delivery Pipeline

Dynatrace and AWS Alliance Update

Shift-Left in Jenkins: How to implement Performance Signature with Dynatrace

Shift-Left with Dynatrace: Automating Performance Feedback with AWS, Mesos and Containers

Top 30 Dynatrace customers reveal their DevOps toolset – here’s why

Kubernetes and Multi-Cloud are Front and Center for the Cloud Foundry community

AIOps – You can do it the easy way or the hard way

What I learned in my 80 hours with Singapore Cloud Transformation Leaders

Optimizing DynamoDB Access Patterns to avoid Performance Impact

App in a Box – Part 4 – OneAgent to rule them all through Software Intelligence

Accelerating Functional Test Automation Analysis with Selenium and Dynatrace

The pitfalls of traditional synthetic monitoring (part 2)

Optimizing Engineering Productivity on Atlassian with Addteq and Dynatrace

Handshake matters: TLS performance and user experience

Optimizing Jenkins to ensure fast build times with Dynatrace

Optimizing Kubernetes to reduce flaky tests in CI/CD with Dynatrace

Starting with why. Five key takeaways from Amway’s monitoring journey

The pitfalls of traditional synthetic monitoring (part 1)