DevOps

Get started integrating Dynatrace into your Azure DevOps release pipelines

Easy automated Concourse deployment validation with Dynatrace and Pitometer

Dynatrace UFO lighting up the Dynatrace Support Team

ACM Survey, Part 1: How your peers use cloud automation to innovate faster

Unleash the power of the Dynatrace Markdown Dashboard Tile

Davis Diaries: Mainframe error to resolution in minutes!

Using AI and automation to build resiliency into Azure DevOps

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

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

Supercharged – Dynatrace’s AI-powered Full Stack Monitoring Drives 90% Alert Consolidation and 90% Reduction in Time-to-Respond with xMatters

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

The pitfalls of traditional synthetic monitoring (part 2)

Optimizing Engineering Productivity on Atlassian with Addteq and Dynatrace

Optimizing Jenkins to ensure fast build times with Dynatrace

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

Google Cloud NEXT 2018 Recap

The pitfalls of traditional synthetic monitoring (part 1)

A week in the Dynatrace Innovation Lab

Using Pivotal’s Concourse? Add the Dynatrace UFO to track pipeline success

Best of DevOps Tallinn 2018 – a PurePerformance Recap!

Dear IT Pros: what I didn’t get about DevOps – and why you shouldn’t make the same mistake

Mean Time to Instrumentation: A Key Metric for your next Monitoring Tool Evaluation