@Marvin The flow code in my prefect flows is in Github, but when Github is down intermittently (happens a lot), my flow fails since it couldn't fetch the code from the Github repo. Additionally, flow retries don't work since the flow wasn't fetched itself. What's the way to handle this and do a retry ?

### Steps to Handle GitHub Downtime and Retrying Flow Execution 1. Consider Alternative Storage: Instead of just using GitHub, consider storing your flow code in multiple locations: - Cloud Storage: AWS S3, Google Cloud Storage, Azure Blob Storage. - Docker Images: Store your flow code in Docker images which can be executed regardless of network issues. 2. Implement Retries: Utilize Prefect’s retry mechanisms to make your flows more resilient. - Retries Decorator: By setting retries in the task decorator, tasks can retry automatically upon failure.

python
    from prefect import task, flow

    @task(retries=3, retry_delay_seconds=10)
    def fetch_data():
        # Code to fetch data from GitHub or alternative storage

    @flow
    def main_flow():
        fetch_data()

4. Resiliency with Failover Mechanisms: Design your system to check alternative sources if GitHub is unavailable.

python
    import requests
    from prefect import task, flow

    @task
    def fetch_code():
        urls = ["<https://github.com/user/repo>", "<https://s3.amazonaws.com/bucket/code>"]
        for url in urls:
            try:
                response = requests.get(url)
                response.raise_for_status()
                return response.content
            except requests.RequestException:
                continue
        raise Exception("All sources failed")
    
    @flow
    def resilient_flow():
        code = fetch_code()
        exec(code)

    resilient_flow()

5. Use Prefect Work Pools: The `deploy()` method can specify other sources like cloud storage.

python
    from prefect.deployments import Deployment

    Deployment(
        name="my_first_deployment",
        flow=MyFlow,
        storage=GitHub(repository="user/repo"),
        work_pool_name="my_work_pool"
    ).apply()

6. Monitoring and Alerts: Track the status of your deployments and get alerts if GitHub goes down. Use Prefect's reporting and monitoring tools effectively. For full details, you can explore Prefect's work pools documentation. If issues persist you might want to explore specific Prefect GitHub issues for similar situations: - Database QueuePool issue with large task flows: https://github.com/PrefectHQ/prefect/issues/6492 - wait_for allow_failure does not work as expected: https://github.com/PrefectHQ/prefect/issues/8029 - Connection issues in Docker agent with server tasks: https://github.com/PrefectHQ/prefect/issues/4963 For any clarifications, feel free to reach out.