I built a tool to measure my own team. The results were uncomfortable.

📰 Medium · DevOps

Learn how to track DORA metrics across Azure DevOps pipelines using Azure AI Foundry and apply the insights to improve team performance

intermediate Published 19 Apr 2026
Action Steps
  1. Build a tool to track DORA metrics using Azure AI Foundry
  2. Integrate the tool with Azure DevOps pipelines
  3. Analyze the results to identify areas for improvement
  4. Apply changes to improve team performance and efficiency
  5. Monitor and adjust the tool as needed to ensure continuous improvement
Who Needs to Know This

DevOps teams and engineering leaders can benefit from this article to measure and improve their team's performance and efficiency

Key Insight

💡 Tracking DORA metrics can provide uncomfortable but valuable insights into team performance, allowing for data-driven improvements

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🚀 Improve your team's performance with data-driven insights! Learn how to track DORA metrics using Azure AI Foundry and Azure DevOps pipelines 📊
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