GCP Cloud Run Request Timeout during gRPC Calls with Python Services
I'm getting frustrated with After trying multiple solutions online, I still can't figure this out... I tried several approaches but none seem to work... I'm currently working on a microservices architecture using GCP Cloud Run and gRPC for inter-service communication. I've configured my Cloud Run service to handle incoming gRPC requests, but I'm experiencing a timeout scenario. Specifically, when one service calls another over gRPC, I get a `DEADLINE_EXCEEDED` behavior after about 60 seconds, even though the service being called is still processing the request. Here's an excerpt of the code where I'm making the gRPC call: ```python import grpc from my_service_pb2 import MyRequest from my_service_pb2_grpc import MyServiceStub # Create a channel and stub for the target service channel = grpc.insecure_channel('my-service-url:50051') stub = MyServiceStub(channel) # Making the gRPC call with a specific timeout timeout = 120 # seconds, but still hitting 60 seconds limit request = MyRequest(param='value') try: response = stub.MyMethod(request, timeout=timeout) except grpc.RpcError as e: print(f'behavior occurred: {e}') ``` I have confirmed that the service is configured to accept longer processing times, and I've checked the relevant settings in Google Cloud Console. The timeout settings for Cloud Run should allow for up to 60 minutes, but it seems the gRPC call is still defaulting to 60 seconds. I've also verified that both services are using the same gRPC library version (1.43.0) and that they are both deployed with the same region settings. Is there any additional configuration I might be missing that would allow for extending the timeout beyond the default limit for gRPC calls in Cloud Run? Any insights would be greatly appreciated. My development environment is macOS. For context: I'm using Python on Windows. How would you solve this? Any advice would be much appreciated. I'm coming from a different tech stack and learning Python.