The DevOps methodology relates technical and organization practices so it’s difficult to simply ascribe a number and say “our organization is a B+ on DevOps!” Things don’t work that way. A better approach identifies intended outcomes and measurable characteristics for each outcome. Let’s consider a common scenario: a team adopts DevOps to increase their velocity. High velocity is a common trait among DevOps teams, plus it may be measured, tracked, and used to prioritize decisions. In this post, we’ll look at the traits and measurements of DevOps success.
Before we dive into it, check out Cloud Academy’s Recipe for DevOps Success webinar in collaboration with Capital One and don’t forget to have a look at Cloud Roster, the job role matrix that shows you what kind of technologies that DevOps professionals should be familiar with. If you’re responsible for implementing DevOps practices at your company, we also suggest reading The Four Tactics for Cultural Change in DevOps Adoption.
DevOps in Four Metrics
The DevOps Handbook defines three primary principles in a DevOps value stream. First, the principle of flow calls for fast feedback from development through production. This manifests as continuous delivery (or deployment). Second, the principle of feedback calls for fast feedback from production back to development. The idea is to understand production operations, such as performance, end-user activity, or outages, and react accordingly. This manifests itself as tracking and monitoring real-time telemetries like time series data, metrics, and logs. The third principle calls for experimentation and continuous learning. DevOps does not have an end state. It’s similar to a game where the goal is to just keep playing but such that you get better each time. Practically speaking this manifests itself more of an organizational zeitgeist that appears in the way team members approach their work, handle outages, and seek out

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