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AWS CodePipeline

AWS CodePipeline

Automated release pipelines for seamless app and infrastructure updates

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Integrate Dynatrace with AWS CodePipeline to ensure fast lead times. Dynatrace supports all stages from Source Commit to Production Deployment, eliminating slow phases caused by performance testing, integration testing, or manual approvals. Whether using a single pipeline or multiple pipelines with different teams, Dynatrace streamlines the process for continuous, efficient delivery.Push better code from the start with Dynatrace. Unlike a standard AWS CodePipeline, Dynatrace analyzes test execution before code commits to AWS CodeCommit or Git, detecting issues based on architectural, scalability, and performance patterns without large-scale tests. It also baselines key quality metrics for Unit, Integration, and Functional Tests, ensuring your teams avoid pushing bad code through the pipeline.
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Overview

Combining Dynatrace with AWS CodePipeline transforms your DevOps workflow into a powerhouse of efficiency and reliability.

Dynatrace seamlessly integrates with AWS CodePipeline, monitoring every stage from source commit to production deployment. It proactively detects issues based on architectural, scalability, and performance patterns, ensuring problems are identified before they escalate.

With deep performance insights, you can quickly pinpoint and resolve bottlenecks, keeping your pipeline running smoothly. Automated quality checks baseline key metrics for Unit, Integration, and Functional Tests, preventing bad code from progressing. This integration accelerates lead times by eliminating slow phases caused by performance testing, integration testing, or manual approvals. Continuous, real-time monitoring ensures every deployment is optimized and reliable.

With Dynatrace and AWS CodePipeline, you push better code faster, maintain high standards, and keep your development process running smoothly. Ready to elevate your DevOps game?

Details

  • Automated Monitoring: Continuous monitoring of AWS CodePipeline stages to ensure smooth operations.
  • Performance Insights: Detailed performance metrics and insights to identify and resolve bottlenecks.
  • Problem Detection: Automatic detection of issues based on architectural, scalability, and performance patterns.
  • Integration Support: Seamless integration with AWS CodePipeline, supporting all stages from source commit to production deployment. We integrate with every Load Testing tool through our Load Testing Integration Interface, whether it is Apica, Neotys, SilkPerformer, Load Runner, JMeter, or others.

Quality Metrics: To maintain high code quality, baseline key quality metrics for various tests (Unit, Integration, Functional).

  • Efficiency: Streamlines the pipeline process, reducing slow phases and ensuring fast lead times.
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