AZ-400 Designing and Implementing Microsoft DevOps Solutions Exam

Selection and Configuration of Delivery Metrics

Delivery metrics are crucial for understanding how well your DevOps pipeline is performing. They help measure the efficiency and health of your releases, enabling continuous improvement in Azure DevOps environments.

Key Delivery Indicators

When designing and implementing metrics for delivery, prioritize indicators such as:

• Lead Time: The time it takes from code commit to deployment.
• Deployment Frequency: How often you release new updates.
• Change Failure Rate: The percentage of changes that fail in production.
• Mean Time to Recovery: How quickly you can restore service after a failure.

Use Azure Monitor metrics and Azure DevOps analytics queries to visualize these indicators and interpret results for process improvements.

Configuring Azure Monitor Metrics

To measure performance, set up Azure Monitor with these steps:

1. Enable log query auditing to identify slow and inefficient queries.
2. Configure data collection and alerting for client workflows.
3. Track performance with tools like Log Analytics workspace insights and Prometheus metrics for Kubernetes.

Performance Optimization

Optimize delivery pipeline performance by:

• Rewriting inefficient queries found in Log Analytics workspace insights.
• Implementing best practices in data collection and alerting to proactively manage potential issues.
• Ensuring comprehensive monitoring of all layers from network, cluster, to application in Kubernetes environments using Container insights and Azure Monitor managed service for Prometheus.

Cost and Security Considerations

When tracking performance:

• Use Cost optimization settings in monitoring tools to limit unnecessary data collection.
• Ensure secure setup by monitoring SQL databases with tools like Database watcher and applying security recommendations from SQL Database Advisor.

In summary, configuring appropriate delivery metrics involves determining the right indicators, setting up monitoring tools, optimizing performance, considering cost and security, and using Azure services to gather insightful data for continuous improvement.