Support for Parallel Execution with Rafay's Integrated GitOps Pipeline
At Rafay, we are continuously evolving our platform to deliver powerful capabilities that streamline and accelerate the software delivery lifecycle. One such enhancement is the recent update to our GitOps pipeline engine, designed to optimize execution time and flexibility — enabling a better experience for platform teams and developers alike.
Integrated Pipeline for Diverse Use Cases
Rafay provides a tightly integrated pipeline framework that supports a range of common operational use cases, including:
- System Synchronization: Use Git as the single source of truth to orchestrate controller configurations
- Application Deployment: Define and automate your app deployment process directly from version-controlled pipelines
- Approval Workflows: Insert optional approval gates to control when and how specific pipeline stages are triggered, offering an added layer of governance and compliance
This comprehensive design empowers platform teams to standardize delivery patterns while still accommodating organization-specific controls and policies.
From Sequential to Parallel Execution with DAG Support
Historically, Rafay’s GitOps pipeline executed all stages sequentially, regardless of interdependencies. While effective for simpler workflows, this model imposed time constraints for more complex operations.
With our latest update, the pipeline engine now supports Directed Acyclic Graphs (DAGs) — allowing stages to execute in parallel, wherever dependencies allow.