DevOps Adoption Strategies: Principles, Processes, Tools, and Trends by Martyn Coupland

Author:Martyn Coupland [Martyn Coupland]
Language: eng
Format: epub
Publisher: Packt Publishing
Published: 2021-07-05T16:00:00+00:00

Current state value stream map

Now, let's look at a real example of what value stream maps look like in the DevOps world. Take a look at the following diagram, which is a template from Lucidchart (https://www.lucidchart.com/pages/examples/value-stream-mapping-software) that perfectly illustrates the value you can get:

Figure 6.6 – Current value stream map of our DevOps processes

I want to take a little bit of time to explain what is happening in this diagram. First, let's discuss the process in a few words. You can see that our customer section is the main point of ingress.

It starts with the customer sending a feature request via email. This is picked up by one of two service engineers. At this point, they log that request into Confluence. The one product manager in the team then approves and prioritizes the feature request in Jira.

Then, our software engineering team of two people will work on that item in Java using the details from the request in Jira. That code is then deployed into pre-production by one deployment engineer using Jenkins and Circle CI. Then, using Selenium, QA is completed by QA specialists and the customer. Finally, one deployment engineer is responsible for pulling all the development effort together to release to production.

The total lead time for this process is 243 hours, while the total value-added time (the time spent on a task) is 26.08 hours. %C&A refers to the output that is complete and accurate, while Rolled %C&A (24%) refers to the time that does not need to be reworked. Finally, the activity ratio, at 11%, is the time spent working.

Overall, while the process is well-defined and mapped out well, you can see several areas of improvement. Let's look at these areas.

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