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3 Tools to Speed Up DevOps Lifecycle Without Pulling Out Your Hair

All developers know all too well how frustratingly slow DevOps lifecycle can be. You are ready to deploy features until you remember the end users. The feedback can take days, weeks, and maybe months. In this article at CollabNet, find out the 3 metrics to speed up DevOps lifecycle without pulling out your hair.

Increasing Speed of DevOps Lifecycle

As per, 95% of the DevOps deployment journey is eaten up by wait time. Only 5% of time you get any fruitful value from the end users. Then you encounter a 5% dip in deployment with every increase in deployment size. Here are the 3 tools to speed up DevOps lifecycle:

Point-in-Time DevOps Flow Metrics: You can understand how far you have accomplished in DevOps lifecycle with these metrics. They calculate backlogs like user stories, bug fixes, features, epics, etc. from every DevOps phase. The development teams understand the value the deployments give to the business. The metrics document all the risks and compliances undertaken so far. They help the release managers recognize if the deployments in the DevOps lifecycle have met the expected quality standards. Product managers can find out the number features or epic end users have experienced.

Time-in-Phase DevOps Flow Metrics: These calculate the lead time of value stream map step. They discover the delivery risks and provide feedback on workflows, manual processes, and automation status. These help create performance benchmark for the DevOps lifecycle and showcase related challenges. These metrics find out the actual time of delivery as well as all the DevOps characteristics in the journey.

Metrics for Deployment: There are basically three metrics in this category—batch size, deployment time, and batch distribution. Batch size tells the amount of business value each deployment carries. So, the lesser the batch time or overtime the more your business value is. Deployment time is the gap between the deployments. To lower the delivery wait time, companies should reduce the deployment time. The value each deployment delivers is its batch distribution. The types of value change as per organization. New capability, defect fixes, technical debt, legacy migration, configuration are some of the examples.

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