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How-to-Use-DevOps-Metrics-to-Keep-Getting-Better.pptx

Discover key DevOps metrics that drive continuous improvement. how to track, analyse, and act on insights for better software delivery and team performance

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How-to-Use-DevOps-Metrics-to-Keep-Getting-Better.pptx

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  1. How to Use DevOps Metrics to Keep Getting Better Predict software failures, fix them faster, deliver updates quicker, and keep your team aligned and productive, all without guesswork. That's precisely what DevOps metrics allow you to do.

  2. Why DevOps Metrics Matter In a fast-moving software world, businesses need measurable insights to make informed decisions and prove continuous improvements. DevOps metrics provide clarity across deployment pipelines, team collaboration, stability, and customer satisfaction. Find Pain Points Increase Collaboration Reduce Downtime Identify issues in CI/CD pipelines. Enhance teamwork between development and operations. Minimize system downtime and failure rates. Accelerate Delivery Improve Satisfaction Speed up the delivery of new features. Boost customer satisfaction.

  3. Categories of DevOps Metrics To get a 360-degree view of your DevOps maturity, track more than just code commits or uptime. These four categories provide comprehensive insights. Deployment Metrics Quality Metrics Operational Metrics Cultural Metrics • Deployment frequency • Defect escape rate • Server uptime • Deployment ownership • Lead time from commit to deploy • Test coverage • Mean time to detect (MTTD) • Cross-functional feedback • Rollback frequency • Mean time to resolve (MTTR) • Team satisfaction surveys

  4. The Four Key DORA Metrics The DORA metrics provide an overall picture of an organization’s software delivery performance and correlate strongly with organizational success. 1 2 Deployment Frequency Lead Time for Changes How often code is deployed to production. Elite teams deploy multiple times daily. Time from commit to production release. Elite performers ship changes in less than a day. 3 4 Change Failure Rate Time to Restore Service Percentage of failed deployments. Less than 15% is considered good. Time to recover from a production incident. Elite teams recover in less than 1 hour.

  5. Supporting Metrics for Context While DORA metrics offer a good overview, supporting metrics provide additional context to explain performance trends and root causes. • MTTR (Mean Time to Resolution): Time to remediate an issue after detection. • Automation Coverage: Manual vs. automated testing percentage. • Error Rate: Number of failed requests or exceptions per transaction. • Code Churn: Frequency and volume of code changes before production. • Customer Tickets: Number of bugs/incidents reported by end-users. These metrics help investigate issues and make informed improvements, like increasing test coverage if change failure rates spike.

  6. Celebrate Wins & Learn from Losses Turning Metrics into Continuous Improvement Acknowledge successes and treat setbacks as learning opportunities, not blame games. Metrics don’t drive improvement; action does. Interpret and use metrics to create a roadmap for better software delivery. Visualize Trends Review Regularly Use dashboards to identify long-term trends, anomalies, and regressions. Integrate metric reviews into sprint retrospectives and planning meetings. Collaborate Across Functions Ensure all teams (devs, testers, ops, product) have access to and understand the data.

  7. Tools and Dashboards Automate metric tracking with popular tools that offer out-of-the-box dashboards and real-time visualizations. CI/CD Pipelines Monitoring & Observability Error Tracking Collaboration & Issue Tracking • Jenkins • Sentry • Prometheus • Jira • GitHub Actions • Rollbar • Grafana • Trello • GitLab CI/CD • New Relic • ServiceNow • Azure DevOps • Datadog

  8. Challenges and Best Practices A metrics-driven DevOps strategy can have challenges. Avoid common traps and implement best practices for better outcomes. Common Traps Best Practices • Too Many Metrics: Leads to analysis paralysis. Fix: Focus on 4-6 core metrics. • Set metric baselines. • Align metrics with business objectives. • Misaligned Incentives: Metrics used for blame kill morale. Fix: Guide, don't punish. • Review collaboratively and transparently. • Prioritize actionable metrics. • Poor Data Hygiene: Skews results. Fix: Standardize tracking methods.

  9. DevOps Metrics + Skills = Continuous Growth Grasping DevOps metrics is one thing; knowing what to do with them is another. Fusion Software Institute helps learners gain the technical skills and analytical mindset for success in DevOps roles. Our training covers tools and shows you how to monitor, measure, and improve actual performance. Continuous improvement is a competitive differentiator.

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