@Marvin I get the next DEBUG log line:

prefect.client - Encountered retryable exception during request. Another attempt will be made in 27.468456452s. This is attempt 5/6.

Why is it happening? Can it be the cause for my failed flows?

Ah, the joy of retryable exceptions. These logs indicate that a transient issue is causing certain requests to fail, which Prefect is attempting to automatically retry. Let's start by searching the Prefect documentation for information on retryable exceptions, potential causes, and their impact on flow execution. I'll perform the following searches: 1. "retryable exception during request" 2. "flow failure due to retryable exception" Give me a moment to find relevant information. The retryable exception is a common occurrence in distributed systems when transient issues arise. Prefect logs this when it encounters a temporary problem that it believes will resolve itself on a subsequent attempt. Here's a breakdown of what might be happening and action points: 1. Temporary Network Issues: Prefect may be experiencing network instability which causes requests to fail intermittently. 2. API Rate Limiting: If you're interacting with APIs, you may hit rate limits, causing Prefect to retry the requests after a while. 3. Server Overloads: The Prefect server or an external service might be momentarily overwhelmed. ### Potential Impacts on Flows - Flow Failures: If Prefect exhausts all retry attempts without success, the task and potentially the entire flow might fail. - Increased Latency: Even if successful on a retry, the initial failure and subsequent delays could lead to longer overall execution times. ### Mitigation Strategies 1. Examine Network Stability: Ensure your network connection is stable and robust. 2. Review API Usage: Check if your interactions with external APIs are within allowed limits. 3. Monitor Server Performance: Ensure that the servers (both Prefect and external) are not under undue stress. ### Documentation Links For a deeper dive, you can reference the following resources: - Prefect Flow and Tasks Concepts - Prefect Troubleshooting Guide If the issues persist, you might want to introduce custom retry logic or intervals to better handle the exceptions. Example:

python
from prefect import flow, task
import httpx

@task(retries=2, retry_delay_seconds=5)
def get_data_task(url: str = "<https://api.brittle-service.com/endpoint>") -> dict:
    response = httpx.get(url)
    response.raise_for_status()
    return response.json()

@flow
def get_data_flow():
    get_data_task()

This flow retries the task twice with a 5-second delay if it encounters exceptions. For further details, visit: - Prefect Retrying Logic in Tasks So, yes, retryable exceptions could be causing your flow failures if they persist after multiple attempts. Consider implementing more robust error handling or investigating the underlying causes of these transient issues.