Value Prop
On March 1, 2026 the $0.002 per-minute Actions cloud platform charge will begin applying to self-hosted runner usage in private repositories.
This will not impact Actions usage in public repositories or GitHub Enterprise Server customers.
Expected Outcome
This aligns pricing to match consumption patterns, ensuring consistent service quality across hosting modalities as usage grows. This will result in significant improvements to our self-hosted offering, including the following releases over the coming year:
GitHub Scale Set Client
This new client provides enterprises with a lightweight Go SDK to build custom autoscaling solutions without the complexity of Kubernetes or reliance on ARC. It integrates seamlessly with existing infrastructure—containers, virtual machines, cloud instances, or bare metal—while managing job queuing, secure configuration, and intelligent scaling logic. Customers gain a supported path to implement flexible autoscaling, reduce setup friction, and extend GitHub Actions beyond workflows to scenarios such as self-hosted Dependabot and custom automation agents.
Multi-Label Support
We are reintroducing multi-label functionality for both GitHub-hosted larger runners and self-hosted runners, including those managed by Actions Runner Controller (ARC) and the new Scale Set Client.
Actions Runner Controller 0.14.0
This release introduces major quality-of-life improvements, including refined Helm charts for easier Docker configuration, enhanced logging, updated metrics, and formalized versioning requirements. It also announces the deprecation of legacy ARC, providing a clear migration path to a more reliable and maintainable architecture. Customers benefit from simplified setup, improved observability, and confidence in long-term support, reducing operational friction and improving scalability.
Actions Data Stream
Actions Data Stream will deliver a real-time, authoritative feed of GitHub Actions workflow and job event data, including metadata such as action versions. This capability enhances observability and troubleshooting by enabling organizations to integrate event data into monitoring and analytics systems for compliance and operational insights. By providing structured, high-fidelity data at scale, it eliminates reliance on manual log parsing and empowers teams to proactively manage reliability and performance.