Integrate Fermionics in Slack
with Axolo

Fermionics is a GitHub application that helps engineering teams track their efficiency using DORA metrics. DORA metrics are industry-standard metrics that measure the efficiency of a software delivery pipeline. Fermionics tracks all four DORA metrics: Lead Time To Change, Change Rate, Change Failure Rate, and Mean Time To Restore. By tracking these metrics, Fermionics provides engineering teams with valuable insights into their performance and delivery quality.

Fermionics also supports platforms, which allow grouping of DORA-tracked components, or "deployables". This feature is particularly useful for engineering teams that work on multiple projects simultaneously. Metrics are automatically rolled up to provide a platform-wide view of engineering efficiency.

For users with premium accounts, Fermionics automatically rolls up metrics to the organizational level. This feature provides an at-a-glance view for managers and executive-level stakeholders. By using Fermionics, organizations can introduce science into measuring the efficiency of their engineering teams and make data-driven decisions to improve their performance.

- Tracks DORA metrics: Lead Time To Change, Change Rate, Change Failure Rate, and Mean Time To Restore
- Supports platforms for grouping DORA-tracked components
- Metrics are automatically rolled up to provide a platform-wide view of engineering efficiency
- Premium accounts support multiple platforms
- Automatically rolls up metrics to the organizational level for managers and executive level stakeholders

The pricing for Fermionics is a Free Plan that costs $0.

Integrating Fermionics in Slack with Axolo is beneficial as it allows engineering teams to track their efficiency with DORA metrics and get a platform-wide view of engineering efficiency, which can be automatically rolled up to the organizational level for managers and executive level stakeholders. This helps in measuring the efficiency of the software delivery pipeline and identifying areas for improvement.