Observing Software Delivery Performance with DevOpstic

Continuous improvement fo the engineering process and the delivery performance of our teams motivated that endeavor.

We were missing a tool to be able to track the following metrics, identified in the book “Accelerate” by N. Forsgren, J. Humble & G. Kim, because they turn to be revealing indicators of software team delivery performance:

The number of deployment over a period of time

Lead time is the time between a commit is submitted for review and the time it gets deployed.

It can be decomposed in two:

The time between when an incident (failure of service) is detected to the time it is resolved.

The ratio of failed deployment over total number of deployments.

So I decided to build a small solution to my problem and here comes: devopstic

It’s composed of a service with a REST api, a Postgres database and uses Grafana to display results.

The observed systems (CI/CD, etc.) send events to devopstic service. The service logic then create the entities like commit and incident based on the event type and compute the adequate values.

The project is open source and available at:

Let me know what you think, any feedback is welcome!

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