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According to Puppet's State of DevOps Report 2021, 83% of IT professionals report their organizations are implementing DevOps practices to achieve faster time to delivery, gain increased security of systems and unlock higher business value. No surprise.
What is a bit eye-opening is that those same DevOps teams report that finding the right metrics to monitor and measure success is still a challenge.
Here are a few simple metrics that all DevOps professionals should monitor and measure on a regular basis.
1. Deployment Time
Deployment Time is the time it takes to deploy a release into a development, testing or production environment.
Monitoring deployment time brings focus to areas of redundancy, bottlenecks, and timewasters in the pipeline where innovation of data delivery methods, processes and automation tools has the biggest return.
2. Change Failure Rate
Change Failure Rate is the percentage of failures such as outages or data corruption resulting in degraded services.
By monitoring the change failure rate on a regular basis, DevOps teams gain a better understanding of deployment process efficiency. They can also make data-driven decisions to improve the deployment process.
3. Recovery Time
Recovery Time is time to recovery measures how long it takes to restore a service following an outage or impairment. Measuring this metric is critical to ensure the team recovers quickly from incidents and makes proactive changes in the process to avoid further outages.
4. Release Cadence
Release cadence determines how often and at what frequency a product or update releases to market.
Measuring this metric helps DevOps professionals understand how fast their products are reaching the market in comparison to competitors and when it's time to adopt enhanced automation tools.
5. Lead Time
How long does it take a team to advance from committing code to pushing code successfully out into production? Lead time is a good overall metric of DevOps efficiency and shows whether or not a DevOps team and its tech stack can handle a high volume of requests and still ensure quality.
Measure thoughtfully
DevOps teams need metrics that identify leverage points in the process to speed up deployments. Data can improve deployment processes, especially in comparison to industry standards and competitive comparisons. By establishing simple process metrics and sharing them widely across the team and stakeholders, you'll be well on your way to success.
Industry News
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Payara announced the launch of Payara Qube, a fully automated, zero-maintenance platform designed to revolutionize enterprise Java deployment.
Google released its new AI-first Colab to all users, following a successful early access period that had a very positive response from the developer community.
Salesforce announced new MuleSoft AI capabilities that enable organizations to build a foundation for secure, scalable AI agent orchestration.
Harness announced the General Availability (GA) of Harness AI Test Automation – an AI-native, end-to-end test automation solution, that's fully integrated across the entire CI/CD pipeline, built to meet the speed, scale, and resilience demanded by modern DevOps.
With AI Test Automation, Harness is transforming the software delivery landscape by eliminating the bottlenecks of manual and brittle testing and empowering teams to deliver quality software faster than ever before.
Wunderkind announced the release of Build with Wunderkind — an API-first integration suite designed to meet brands and developers where they are.
Jitterbit announced the global expansion of its partner program and new Jitterbit University partner curricula.
Tricentis unveiled two innovations that aim to redefine the future of software testing for the enterprise.
Snyk announced the acquisition of Invariant Labs, an AI security research firm and early pioneer in developing safeguards against emerging AI threats.
ActiveState expanded support of secure open source to include free and customized low-to-no vulnerability containers that facilitate modern software development.
Pythagora launched an all-in-one AI development platform that enables users to build and deploy full-stack applications from a single prompt.
Cloudflare announced that Containers is in public beta.
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the launch of the Agent2Agent (A2A) project, an open protocol created by Google for secure agent-to-agent communication and collaboration.