Pippy – Pipelines for GitHub Actions
I am excited to share pippy, which allows users to create configurable pipelines using Github Actions. If you have used Azure pipelines, in summary, this would be Azure Pipelines meets Github Actions. Cloud version: https://app.pippy.dev/login (closed beta) I am also open sourcing command line version: https://github.com/nixmade/pippy. Key features: - Automatic Rollback - Datadog Monitoring - Pause/Resume The product is built using open source orchestrator. Orchestrator: https://github.com/nixmade/orchestrator Orchestrator allows…
In plain words
Pippy is a tool for creating configurable pipelines within GitHub Actions, similar to Azure Pipelines. It offers a cloud version in closed beta and an open-source command-line version. Key features include automatic rollback, Datadog monitoring integration, and the ability to pause and resume pipelines. The tool is built on an open-source orchestrator that enables users to manage rollouts to specific targets and trigger optional rollbacks based on monitoring data.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I am excited to share pippy, which allows users to create configurable pipelines using Github Actions. If you have used Azure pipelines, in summary, this would be Azure Pipelines meets Github Actions. Cloud version: https://app.pippy.dev/login (closed beta) I am also open sourcing command line version: https://github.com/nixmade/pippy. Key features: - Automatic Rollback - Datadog Monitoring - Pause/Resume The product is built using open source orchestrator. Orchestrator: https://github.com/nixmade/orchestrator Orchestrator allows you to orchestrate rollout to specific set of targets and provide monitoring capabilities to optionally rollback. I hope to provide Cloud API so platforms can orchestrate updates using the framework. Tech stack: Database: Postgres Backend: Golang Frontend: React + Shadcn UI Cloud: Azure container apps Please leave your feedback in comments. Hope you can give the command line version a try, and sign up for beta of the cloud version.
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