How can I become better at measuring data as a DevOps professional?
Define Clear Metrics
Identify key performance indicators specifically relevant to each DevOps process. Deployment frequency, lead time, mean to recover and change failure should all have their own metrics that align with your overall goal.
Establish Baselines
Before deciding on the metrics to measure the above, identify current performance levels to establish what improvement looks like.
Foster Collaboration
Ensure metrics align with goals and priorities of the whole business to encourage collaboration between development, operations and other teams involved in the software delivery process.
Automate Data Collection
Implement automated tools and processes to collect and aggregate data from various sources, such as version control systems, CI/CD pipelines, monitoring tools and issue tracking systems.
Visualise Data
There are visualisation tools available to present metrics in a clear manner allowing teams to easily interpret the data and work together to reach a common goal.
Analyse Trends
Monitoring trends over time will allow you to identify patterns, outliers and areas of improvement. This will help you to forecast future performance.
Incorporate Feedback Loops
Use metrics to provide feedback loops; regularly review performance data with teams, identify areas for improvement and and adjust processes accordingly.
Continuously Iterate
Continuously review and redefine your metrics to drive continuous improvement.
We’re always happy to advise when it comes to getting key stakeholders to understand your metrics. Alternatively, if you would like to know what else is on the market for a DevOps specialist currently, contact us today!