{"id":48458,"date":"2019-03-28T12:09:51","date_gmt":"2019-03-28T11:09:51","guid":{"rendered":"https:\/\/openexpoeurope.com\/?p=48458"},"modified":"2019-03-28T22:17:07","modified_gmt":"2019-03-28T21:17:07","slug":"accelerate-with-gerrit-devops-analytics","status":"publish","type":"post","link":"https:\/\/openexpoeurope.com\/en\/accelerate-with-gerrit-devops-analytics\/","title":{"rendered":"Accelerate with Gerrit DevOps Analytics"},"content":{"rendered":"

Accelerating your time to market while delivering high-quality products is vital for any company of any size. This fast pacing and always evolving world relies on getting quicker and better in building the production pipeline of products. The whole DevOps and Lean methodologies help to achieve the speed and quality needed by continuously improving the process in a so-called feedback loop. The faster the cycle, the quicker is the ability to achieve competitive advantages to outperform and beat the competition.<\/p>\n

It is fundamental to have a scientific approach and put metrics in place to measure and monitor the progress of the different actors in the whole software lifecycle and delivery pipeline.<\/p>\n

We need data to build metrics to design our continuous improvement lifecycle around it. We need to juice information from all the components we use, directly or indirectly, on a daily basis:<\/p>\n

– SCM: how many commits are going through the pipeline?<\/p>\n

– Code Review: what’s the lead time for a piece of code to get validated?\u00a0 How are people interacting around the code?<\/p>\n

– Issue tracker: how long does it take the end-to-end lifecycle outside the development, from idea to production?<\/p>\n

– \u2026 and many more<\/p>\n

To anticipate delays in deliveries and make changes in the organization to accelerate the teams’ productivity is fundamental getting logs from these sources and understanding what they are telling us. That is not an easy task.<\/p>\n

It becomes important for everybody involved in the software lifecycle (Engineers, Project Managers, Head of Engineering), to have an easy way to measure meaningful KPIs.<\/p>\n

What is Gerrit?<\/h2>\n

Gerrit is an OpenSource code review tool, built on top of the Git version control system.<\/p>\n

What is Gerrit DevOps Analytics (GDA)<\/h2>\n

Gerrit DevOps Analytics (aka GDA) is an OpenSource solution for collecting data, aggregating them based on different dimensions and expose meaningful metrics in a timely fashion.<\/p>\n

GDA is part of the Gerrit Code Review ecosystem and has been presented during the last Gerrit User Summit 2018 at Cloudera HQ in Palo Alto<\/a>. However, GDA is not limited to Gerrit and is aiming at integrating and processing any information coming from other version control and code-review systems, including GitLab, GitHub and BitBucket.<\/p>\n

Case study: GDA applied to the Gerrit Code Review project<\/h2>\n

One of the golden rules of Lean and DevOps is continuous improvement: \u201ceating your dog food\u201d is the perfect way to measure the progress of the solution by using its outcome in our daily life of developing GDA.<\/p>\n

GDA is part of Gerrit Code Review ecosystem, which I have been contributing to during all this time.<\/p>\n

Gerrit is not just the code review tool itself, but also its plugins ecosystem, hence you need to include them as well into any collection and processing of analytics data.<\/p>\n

Let\u2019s take some trivial examples of KPIs we can measure with GDA for different roles normally involved in a Software delivery team.<\/p>\n

Scenario 1: Release Manager<\/h3>\n

Question<\/strong>: How can I measure the risk of my release?<\/p>\n

Let\u2019s see which metrics are provided by GDA:<\/p>\n

\"\"<\/p>\n

We can see some interesting numbers which might help us:<\/p>\n