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Dynatrace launches DevSecOps partner integrations for context-aware adaptive automation

Dynatrace

Observability and AIOps help drive automated delivery and operations processes. Verify the quality of your application and apply the approach of SLO-driven quality gates in conjunction with the load testing tool Neoload , or chaos testing tools like Gremlin and ChaosNative. Atlassian Bitbucket. JFrog Pipelines.

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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

Open source CI/CD pipeline tool with extensible server automation for distributed builds and scaling. Open source automated browser and testing tool. Open source, cross-platform automation tool for resource provisioning. Infrastructure as code (IaC) configuration management tool. Microsoft Azure.

DevOps 196
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Release readiness through AI-based white box resiliency testing with JMeter and Dynatrace

Dynatrace

Our solution to modernize this legacy approach is an approach we call white box testing. In white-box testing, we combine open-source load testing tools such as JMeter with Dynatrace’s observability and analytics capabilities. from other test tools or real users). The white box load testing project setup.

Testing 222
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Keptn – The Autonomous Cloud control plane for Dynatrace explained

Dynatrace

Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. The Dynatrace teams also built automation on top of Dynatrace to automate many tasks of our Continuous Delivery & Feedback (CDF) and operational processes.

Cloud 191
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What is Non-Functional Testing? – All you need to know

Testlodge

What causes the long processing time? By performing some non-functional tests, QA could determine the root cause. Risks of not Performing Non-Functional Testing. If non-functional testing is not performed, the product is at risk of failure. Non-Functional Testing Tools. Performance Testing Tools.

Testing 74
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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

While Google’s SRE Handbook mostly focuses on the production use case for SLIs/SLOs, Keptn is “Shifting-Left” this approach and using SLIs/SLOs to enforce Quality Gates as part of your progressive delivery process. This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers.

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Automated Deployment and Architectural Validation with Pitometer and keptn!

Dynatrace

Most of the time is taken by quality or release engineers looking at test results, comparing them with previous builds or walking through a checklist of items that accumulated over the years in order to harden their release acceptance process. Bamboo, Azure DevOps, AWS CodePipeline ….