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21 Dec
min read

12 Key CI CD Metrics To Track & Guide On Tracking

Optimize workflows with CI/CD metrics. Track performance, streamline development, and achieve continuous improvement effortlessly.

Jack Dwyer

Platform Engineering + DevOps

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In the ever-evolving landscape of software development, keeping track of progress and performance is crucial. That's where ci cd metrics come in. CI/CD, short for Continuous Integration and Continuous Deployment, has become a standard practice in the industry, allowing teams to deliver software updates faster and with higher quality. But how can we measure the success of our CI/CD efforts? That's where CI CD metrics come into play.

From the moment code is committed to a repository, to the final deployment of a fully functional application, CI CD metrics provide valuable insights into the efficiency and effectiveness of our deployment strategy. These metrics help us identify bottlenecks, optimize processes, and ultimately deliver better software to our users. 

In this blog, we will dive deep into the world of ci cd metrics, exploring key performance indicators, best practices, and how to leverage these metrics to drive continuous improvement. So, if you're ready to take your CI/CD practices to the next level and unlock the full potential of your deployment strategy, keep reading.

The Importance of Tracking CI CD Metrics

binary numbers in the middle with script books - ci cd metrics

Organizations are increasingly turning to Continuous Integration and Continuous Deployment (CI/CD) practices to accelerate their software delivery and improve overall product quality. As part of this process, tracking CI/CD metrics is of paramount importance. These metrics provide valuable insights into the efficiency, stability, and reliability of the CI/CD pipeline, enabling teams to identify bottlenecks, optimize processes, and make data-driven decisions for continuous improvement.

Optimizing Efficiency and Speed

Efficiency and speed are crucial factors in modern software development. By tracking CI/CD metrics, teams can gain visibility into various aspects of the pipeline, such as build times, test durations, and deployment frequency. These metrics help identify areas where improvements can be made to optimize efficiency and reduce the overall time it takes to deliver software. For example, if a particular job in the CI/CD pipeline consistently takes a long time to complete, it may indicate a need for optimization or parallelization to minimize build and test times. By addressing these issues, organizations can significantly speed up their software delivery while maintaining high-quality standards.

Ensuring Stability and Reliability

Stability and reliability are vital for any software release. CI/CD metrics play a crucial role in monitoring the stability of the pipeline and identifying potential risks or failures. For instance, tracking metrics such as the overall success rate of builds and deployments, the number of failed tests, or the occurrence of build or deployment rollbacks can help teams identify patterns or trends that may be indicative of underlying issues. By promptly addressing these issues, teams can enhance the stability and reliability of their CI/CD pipeline, reducing the risk of introducing bugs or vulnerabilities into production environments.

Facilitating Continuous Improvement

Continuous Improvement is an essential principle of CI/CD practices. Tracking metrics allows teams to measure the impact of changes or improvements made to the CI/CD pipeline over time. By comparing metrics before and after implementing changes, teams can assess the effectiveness of their modifications and make data-driven decisions to further enhance their processes. Tracking metrics also enables organizations to set goals and benchmarks for improvement, creating a culture of continuous learning and growth.

Promoting Collaboration and Transparency

CI/CD metrics serve as a common language that encourages collaboration and transparency within development teams and across different stakeholders. By tracking and sharing metrics, teams gain a comprehensive understanding of the pipeline's performance, enabling them to align their efforts toward shared goals and objectives. Metrics provide a quantitative basis for discussions and decision-making, reducing the reliance on subjective opinions and promoting evidence-based discussions around process improvements, resource allocation, and priority setting.

Meeting Customer Expectations

The goal of tracking CI/CD metrics is to deliver high-quality software that meets customer expectations. By continuously monitoring and optimizing the CI/CD pipeline, organizations can ensure a smoother and more reliable software delivery process. This, in turn, leads to faster time-to-market, improved product quality, and enhanced customer satisfaction. By leveraging CI/CD metrics, organizations can proactively address any issues or bottlenecks that may arise, ensuring that customer expectations are consistently met or even exceeded.

Tracking CI/CD metrics is of utmost importance in modern software development. It allows teams to optimize efficiency and speed, ensure stability and reliability, facilitate continuous improvement, promote collaboration and transparency, and meet customer expectations. By harnessing the power of metrics, organizations can drive continuous improvement and deliver high-quality software in a fast, reliable, and customer-centric manner.

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12 Key CI CD Metrics To Track

a computer in the middle of a devop illustration - ci cd metrics

Tracking CI/CD metrics is essential for monitoring the effectiveness and efficiency of your continuous integration and continuous delivery processes. These metrics provide valuable insights into the health of your software development pipeline and help identify areas for improvement. Here are 12 key CI/CD metrics to track:

1. Build Success Rate

The build success rate measures the percentage of successful builds over a specific period. This metric helps assess the stability of your codebase and the effectiveness of your build process.

2. Build Duration

The build duration metric tracks the time it takes to complete a build from start to finish. Monitoring this metric allows you to identify bottlenecks in your build process and optimize build times.

3. Test Coverage

Test coverage measures the percentage of your codebase that is covered by automated tests. Tracking this metric helps ensure that your tests are comprehensive and helps identify areas of your codebase that require additional testing.

4. Test Failure Rate

The test failure rate metric measures the percentage of failed tests in your test suite. This metric provides insights into the stability of your code and helps prioritize test fixes and improvements.

5. Deployment Frequency

Deployment frequency tracks how often you deploy changes to your production environment. This metric helps assess the speed at which you can deliver new features or bug fixes to your users.

6. Mean Time to Detect (MTTD)

MTTD measures the average time it takes to detect a failure or issue in your production environment. Tracking this metric helps identify areas where you can improve your monitoring and alerting systems.

7. Mean Time to Recover (MTTR)

MTTR measures the average time it takes to recover from a failure or issue in your production environment. Monitoring this metric helps assess the efficiency of your incident response and resolution processes.

8. Deployment Failure Rate

The deployment failure rate metric measures the percentage of failed deployments to your production environment. Tracking this metric helps identify gaps or issues in your deployment process that need to be addressed.

9. Lead Time

Lead time measures the time it takes for a code change to go from development to production. This metric helps assess the efficiency of your development and release processes and identifies areas for optimization.

10. Rollback Rate

The rollback rate metric measures the percentage of deployments that had to be rolled back due to issues or failures. Monitoring this metric helps identify the stability of your releases and areas where you need to focus on improving the quality of your changes.

11. Customer Satisfaction

Customer satisfaction measures the satisfaction of your end-users or customers with the features and updates you deliver. This metric can be measured through surveys, feedback, or ratings, and helps assess the impact of your CI/CD processes on user experience.

12. Lead Time for Changes

Lead time for changes measures the time it takes for a development team to complete a specific change request or feature. Tracking this metric helps identify bottlenecks and areas for improvement in your development processes.

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Complete Guide On How To Track CI CD Metrics

a treemap of different nodes - ci cd metrics

Tracking CI/CD metrics is crucial for continuously improving your software development and delivery practices. Here is a comprehensive guide on how to track CI/CD metrics effectively:

1. Define Your Goals

Before you start tracking CI/CD metrics, clearly define your goals and objectives. Determine what you want to achieve through your CI/CD processes and identify the metrics that align with these goals.

2. Select Appropriate Tools

Choose the right tools and technologies for tracking CI/CD metrics. There are various CI/CD platforms and monitoring tools available that can help automate the collection and analysis of these metrics. Zeet is the most advanced CI/CD & deployment platform for Kubernetes: Easily create clusters on AWS, Linode, CoreWeave, GCP, and more, Audit changes being made to your services and by whom, Get build and crash notifications in your Slack, create ​​preview environments and easily add replicas, and more! Reach out to learn more about how Zeet can help you.

3. Identify Relevant Metrics

Identify the CI/CD metrics that are most relevant to your goals and objectives. Consider the 12 key metrics mentioned above and select additional metrics based on your specific needs.

4. Establish a Baseline

Establish a baseline for each metric by collecting historical data. This baseline will serve as a reference point for measuring progress and identifying trends over time.

5. Set Targets and Thresholds

Set targets and thresholds for each metric to track performance against desired outcomes. These targets will help you identify areas where improvement is needed and measure the success of your CI/CD processes.

6. Automate Data Collection

Automate the collection of CI/CD metrics by integrating tracking tools into your development and deployment pipelines. This ensures that metrics are consistently captured and eliminates manual data entry errors.

7. Visualize and Analyze Data

Visualize your CI/CD metrics using dashboards and reports to gain valuable insights. Analyze the data to identify trends, patterns, and areas for improvement. Use visualization tools to share the metrics with relevant stakeholders.

8. Monitor in Real-Time

Monitor CI/CD metrics in real-time to stay informed about the health and performance of your software development pipeline. Set up alerts and notifications to be notified of any anomalies or issues that require immediate attention.

9. Conduct Regular Reviews

Regularly review and evaluate your CI/CD metrics to assess progress and identify areas for improvement. Use these insights to make informed decisions and adjust your processes accordingly.

10. Share and Communicate

Share CI/CD metrics with relevant stakeholders, including developers, management, and other teams involved in the software development lifecycle. Communicate the impact of these metrics on business outcomes and foster a culture of continuous improvement.

11. Continuously Improve

Use the insights gained from tracking CI/CD metrics to drive continuous improvement. Implement changes and process enhancements based on the metrics to optimize your software development and delivery practices.

12. Revisit and Revise

Regularly revisit and revise your metrics as your goals and objectives evolve. Ensure that the metrics you track remain aligned with your business needs and continue to provide meaningful insights.

By following this comprehensive guide, you can effectively track CI/CD metrics and leverage them to improve the efficiency, quality, and speed of your software development and delivery processes.

How To Use CI CD Metrics To Optimize Resource Utilization and Cost-Efficiency

a devop coding setup with multiple screens - ci cd metrics

Continuous Integration (CI) and Continuous Deployment (CD) are essential practices in modern software development, enabling teams to deliver software faster and with greater reliability. By implementing CI/CD pipelines, organizations can automate the process of building, testing, and deploying software, leading to increased efficiency and reduced costs. To further optimize resource utilization and cost-efficiency, it is crucial to leverage CI/CD metrics effectively.

1. Monitoring Build Times and Frequency

By monitoring build times and the frequency of builds, organizations can identify potential bottlenecks in the CI/CD pipeline and optimize resource utilization. Metrics such as average build time, build failure rate, and build frequency can provide insights into areas that need improvement. Reducing build times and failures can lead to faster feedback loops and increased developer productivity.

2. Tracking Test Coverage and Execution Time

Test coverage and execution time metrics help in determining the effectiveness of the testing process and resource allocation. By tracking the percentage of code covered by tests and the time taken to execute tests, organizations can identify areas where test coverage is inadequate or tests are taking too long to run. Improving test coverage and optimizing test execution time can result in reduced resource consumption and faster deployments.

3. Analyzing Deployment Frequency and Lead Time

Deployment frequency and lead time metrics provide valuable insights into the efficiency of the CD process. By measuring the number and frequency of deployments, organizations can assess the speed at which new features and bug fixes are delivered to production. Analyzing lead time metrics, which measure the time taken from code commit to deployment, can help identify areas of improvement in the CI/CD pipeline. Optimizing deployment frequency and lead time can reduce resource waste and improve time-to-market.

4. Monitoring Rollback and Rerun Rates

Rollback and rerun rates are important metrics to monitor when aiming to optimize resource utilization and cost-efficiency. By tracking the number of rollbacks and reruns in the deployment process, organizations can identify potential issues that lead to wasted resources and increased costs. Analyzing the reasons behind rollbacks and reruns can help in identifying areas for improvement, such as better automated testing or more thorough code reviews.

5. Utilizing Infrastructure Monitoring

To optimize resource utilization and cost-efficiency, it is crucial to monitor the infrastructure supporting the CI/CD pipeline. By tracking metrics such as CPU usage, memory consumption, and network traffic, organizations can identify resource bottlenecks and optimize infrastructure provisioning. Utilizing cloud services with auto-scaling capabilities can help scale resources based on actual demand, preventing overprovisioning and reducing costs.

6. Aligning Metrics with Business Goals

To achieve optimal resource utilization and cost-efficiency, it is essential to align CI/CD metrics with business goals. By focusing on metrics that directly impact business outcomes, organizations can make data-driven decisions to optimize resource allocation and reduce costs. For example, if reducing time-to-market is a priority, metrics related to deployment frequency and lead time should be closely monitored and improved.

The effective utilization of CI/CD metrics can significantly contribute to optimizing resource utilization and cost-efficiency. By monitoring build times, test coverage, deployment frequency, rollback rates, infrastructure metrics, and aligning them with business goals, organizations can identify areas for improvement and make data-driven decisions. Continuous monitoring and improvement of CI/CD metrics enable organizations to streamline their development processes, reduce costs, and deliver software faster and with greater reliability.

Become a 1% Developer Team With Zeet's CI/CD Deployment Platform for Kubernetes

Zeet simplifies the entire deployment process, from code commit to running applications in production. It seamlessly integrates with popular version control systems like Git and provides a user-friendly interface for managing deployments. With Zeet, teams can easily create and configure deployment pipelines, automate testing and quality assurance, and deploy applications with a single click.

Efficient Resource Utilization

By leveraging Zeet's CI/CD platform, organizations can maximize the utilization of their cloud and Kubernetes resources. Zeet optimizes resource allocation, allowing teams to deploy applications faster and more efficiently. This not only improves overall productivity but also reduces costs by eliminating resource wastage.

Empowering Individual Contributors

One of the key benefits of Zeet is its ability to empower engineering teams to become strong individual contributors. Zeet provides a collaborative environment where team members can share knowledge, collaborate on projects, and contribute to the continuous improvement of the organization's CI/CD processes.

Maximizing Cloud and Kubernetes Investments with Zeet's Platform

Zeet's CI/CD deployment platform is a game-changer for organizations looking to maximize their cloud and Kubernetes investments. By streamlining the deployment process, optimizing resource utilization, and empowering individual contributors, Zeet enables engineering teams to deliver high-quality software faster and more efficiently.

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