Core DevOps (tech) metrics, from Nicole Forsgren

Everyone always wants to know metrics. While the answer is always a solid “it depends – I mean, what are your business goals and then we can come up with some KPIs,” there’s a reoccurring set of technical metrics. Nicole lists some off:

These IT performance metrics capture speed and stability of software delivery: lead time for changes (from code commit to code deploy), deployment frequency, mean time to restore (MTTR), and change fail rate. It’s important to capture all of these because they are in tension with each other (speaking to both speed and stability, reflecting priorities of both the dev and ops sides of the team), and they reflect overall goals of the team. These metrics as a whole have also been shown to drive organizational performance.

And, then, further summarized by Daniel Bryant:

Key metrics for IT performance capture speed and stability of software delivery, and include: lead time for changes (from code commit to code deploy), deployment frequency, mean time to restore (MTTR), and change fail rate.

Also in the interview, a concise DevOps definition:

I define DevOps as a technology transformation that drives value to organizations through an ability to deliver code with both speed and stability.

See the rest.

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