Workflow Resilience in GitHub Actions
1. Introduction
Workflow resilience in GitHub Actions refers to the ability of a CI/CD pipeline to withstand and recover from failures. This involves designing workflows that can handle errors, retries, and fallbacks gracefully.
2. Key Concepts
- **Error Handling:** Mechanisms to catch and manage errors in workflows.
- **Retries:** Automatically retrying failed jobs or steps.
- **Timeouts:** Setting time limits for jobs to prevent indefinite hanging.
- **Job Dependencies:** Ensuring jobs depend on the successful completion of previous jobs.
3. Implementing Resilience
3.1 Error Handling
Use the `if: failure()` condition to handle errors gracefully:
jobs:
example_job:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v2
- name: Run script
run: ./script.sh
continue-on-error: true
- name: Handle failure
if: failure()
run: echo "Script failed, taking alternative action"
3.2 Retries
Configure job retries using the `retry` keyword:
jobs:
retry_job:
runs-on: ubuntu-latest
steps:
- name: Run a command
run: ./unstable_script.sh
retry: 3
3.3 Timeouts
Set a timeout for jobs to prevent them from running indefinitely:
jobs:
timeout_job:
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- name: Long running process
run: ./long_process.sh
3.4 Job Dependencies
Use `needs` to define job dependencies:
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Build the project
run: ./build.sh
test:
runs-on: ubuntu-latest
needs: build
steps:
- name: Run tests
run: ./test.sh
4. Best Practices
- Implement comprehensive error handling in all steps.
- Use retries cautiously to avoid infinite loops.
- Set reasonable timeouts based on expected execution time.
- Define clear job dependencies to ensure logical execution order.
- Regularly review and update workflows for efficiency and reliability.
5. FAQ
What is the maximum number of retries I can set?
You can set a maximum of 10 retries for a job or step.
Can I set different timeouts for different jobs?
Yes, you can set individual timeouts for each job in your workflow.
What happens if a job fails after all retries?
The workflow will be marked as failed, and subsequent jobs that depend on it will not run.