How can I host multiple containers(sidecar) in cloud run

Kamal_Moha · January 22, 2025, 8:26am

I’m trying to deploy multiple containers(sidecar) in cloud run by following the sidecar docs;

The service I want to deploy is here

In my attempt to deploy the service, I have created the below service.yaml file;

apiVersion: serving.knative.dev/v1
kind: Service
metadata:
annotations:
name: bhadala-blnk2
spec:
template:
spec:
containers:

image: jerryenebeli/blnk:latest
ports:
containerPort: 5001
image: redis:7.2.4
image: postgres:16
image: jerryenebeli/blnk:0.8.0
image: typesense/typesense:0.23.1
image: jaegertracing/all-in-one:latest
And then I run the command;

gcloud run services replace service.yaml --region us-east1

But then got this error in cloud run;
“Revision ‘bhadala-blnk2-00002-27r’ is not ready and cannot serve traffic. The user-provided container failed to start and listen on the port defined provided by the PORT=5001 environment variable within the allocated timeout. This can happen when the container port is misconfigured or if the timeout is too short.”

I’m new to Cloud run. Please help me deploy this service in cloud run and tell me where my service.yaml is doing wrong.

Kamal_Moha · January 22, 2025, 4:08pm

This is the service I want to deploy is here

mokit · January 22, 2025, 5:07pm

Hi, @Kamal_Moha .

Cloud Run supports the sidecar pattern for deploying multiple containers simultaneously. Have you already checked the documentation - Cloud Run now supports sidecar deployments — monitoring agents, proxies and more? It includes all the necessary steps.

Regards,
Mokit

Kamal_Moha · January 22, 2025, 9:28pm

Hi @mokit , YES I have tried all the steps mentioned in the sidecar docs
But I get this error;
“Revision ‘bhadala-blnk-00002-2jc’ is not ready and cannot serve traffic. The user-provided container failed to start and listen on the port defined provided by the PORT=8080 environment variable within the allocated timeout. This can happen when the container port is misconfigured or if the timeout is too short”

I’m stuck on this for the last 5 days and I don’t know what to do. Please @mokit help me to deploy this multi container service

mokit · January 22, 2025, 9:30pm

Is your application running on port 8080? Also, could you please share the Cloud Run application logs also?

Kamal_Moha · January 22, 2025, 9:45pm

Here is the link to the logs https://cloudlogging.app.goo.gl/cMhzDc12ng5NL8MV8

I’m not building any docker image, but rather getting the image(s) from docker hub and then trying to run it in cloud run. This is the main(ingress) container; jerryenebeli/blnk:latest

Before hosting it to cloud run, I run this application on my local machine using docker compose and it worked well. Here is the Dockerfile exposing 8080

FROM golang:1.21-alpine as build-env
WORKDIR /go/src/blnk

COPY . .

RUN go build -o /blnk ./cmd/*.go

FROM debian:bullseye-slim

Install pg_dump version 16

RUN apt-get update && apt-get install -y wget gnupg2 lsb-release &&
echo “deb http://apt.postgresql.org/pub/repos/apt $(lsb_release -cs)-pgdg main” > /etc/apt/sources.list.d/pgdg.list &&
wget --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | apt-key add - &&
apt-get update &&
apt-get install -y postgresql-client-16 &&
rm -rf /var/lib/apt/lists/*

COPY --from=build-env /blnk /usr/local/bin/blnk

RUN chmod +x /usr/local/bin/blnk

CMD [“blnk”, “start”]

EXPOSE 8080

mokit · January 22, 2025, 9:49pm

I’m unable to access the logs using the provided URL since I’m not working with your GCP project. Could you please paste the log output here in the comment thread?

mokit · January 22, 2025, 9:59pm

In your description above, you’ve set containerPort: 5001. I believe this is incorrect. You should set containerPort: 8080 and also configure the PORT environment variable to 8080.

Kamal_Moha · January 22, 2025, 10:37pm

Mr @mokit , here is the error from the logs

{
insertId: “67915d9c000d6a0afc267d90”
labels: {2}
logName: “projects/witaxipay-bhadala/logs/run.googleapis.com%2Fvarlog%2Fsystem”
receiveTimestamp: “2025-01-22T21:05:33.027745157Z”
resource: {
labels: {5}
type: “cloud_run_revision”
}
severity: “ERROR”
textPayload: “Default STARTUP TCP probe failed 1 time consecutively for container “server” on port 8080. The instance was not started.”
timestamp: “2025-01-22T21:05:32.879114Z”

mokit · January 22, 2025, 10:41pm

Have you had a chance to review my last message in this thread?

Kamal_Moha · January 22, 2025, 10:42pm

The exposed port element is confusing because when I run this application locally, the exposed port is 5001 and not 8080. Even when you look at the documentation for this service, they say port 5001 is the port to expose.

That’s why I’m testing port 5001 vs 8080 to see what works. But when I run any of them, I get the same error in cloud run

mokit · January 22, 2025, 10:49pm

@Kamal_Moha , Let’s focus on one point. If you’re using port 5001, you need to set it in the application server, the Docker expose port, and the containerPort in Cloud Run configuration. Also, add the environment variable PORT=5001. The same applies if you’re planning to use port 8080, just replace the port number accordingly that mentioned for 5001.

Kamal_Moha · January 22, 2025, 10:54pm

YES sir, I agree, I’m focusing on port 5001 & picking that moving forward.

Kamal_Moha · January 22, 2025, 11:08pm

YES I have. I visited the logs, clicked Actions dropdown > Download > I’m pasting the entire logs, please tell me if this is what you’re looking for.

[
  {
    "protoPayload": {
      "@type": "type.googleapis.com/google.cloud.audit.AuditLog",
      "status": {
        "code": 9,
        "message": "Ready condition status changed to False for Revision bhadala-blnk-00003-5bg with message: The user-provided container failed to start and listen on the port defined provided by the PORT=5001 environment variable within the allocated timeout. This can happen when the container port is misconfigured or if the timeout is too short. The health check timeout can be extended. Logs for this revision might contain more information.\n\nLogs URL: https://console.cloud.google.com/logs/viewer?project=witaxipay-bhadala&resource=cloud_run_revision/service_name/bhadala-blnk/revision_name/bhadala-blnk-00003-5bg&advancedFilter=resource.type%3D%22cloud_run_revision%22%0Aresource.labels.service_name%3D%22bhadala-blnk%22%0Aresource.labels.revision_name%3D%22bhadala-blnk-00003-5bg%22 \nFor more troubleshooting guidance, see https://cloud.google.com/run/docs/troubleshooting#container-failed-to-start"
      },
      "serviceName": "run.googleapis.com",
      "methodName": "/Services.ReplaceService",
      "resourceName": "namespaces/witaxipay-bhadala/revisions/bhadala-blnk-00003-5bg",
      "response": {
        "metadata": {
          "name": "bhadala-blnk-00003-5bg",
          "namespace": "288219978516",
          "selfLink": "/apis/serving.knative.dev/v1/namespaces/288219978516/revisions/bhadala-blnk-00003-5bg",
          "uid": "57e4d318-cbdb-4ca5-b785-77130bd2b81e",
          "resourceVersion": "AAYsU0v1Q50",
          "generation": 1,
          "creationTimestamp": "2025-01-22T22:48:33.850460Z",
          "labels": {
            "client.knative.dev/nonce": "f21de577-3682-440e-9ec6-2e5bce70d3af",
            "serving.knative.dev/configuration": "bhadala-blnk",
            "serving.knative.dev/configurationGeneration": "3",
            "serving.knative.dev/service": "bhadala-blnk",
            "serving.knative.dev/serviceUid": "950cef21-63ce-4b98-b2de-13e6573b4af0",
            "serving.knative.dev/route": "bhadala-blnk",
            "cloud.googleapis.com/location": "us-east1",
            "run.googleapis.com/startupProbeType": "Custom"
          },
          "annotations": {
            "run.googleapis.com/client-name": "cloud-console",
            "run.googleapis.com/startup-cpu-boost": "true",
            "autoscaling.knative.dev/minScale": "1",
            "run.googleapis.com/operation-id": "9a9cff38-a0ad-4fc3-bf0c-e4c090f13d01",
            "autoscaling.knative.dev/maxScale": "5"
          },
          "ownerReferences": [
            {
              "kind": "Configuration",
              "name": "bhadala-blnk",
              "uid": "8a54be0c-1b36-4a91-9719-bee66b090b75",
              "apiVersion": "serving.knative.dev/v1",
              "controller": true,
              "blockOwnerDeletion": true
            }
          ]
        },
        "apiVersion": "serving.knative.dev/v1",
        "kind": "Revision",
        "spec": {
          "containerConcurrency": 80,
          "timeoutSeconds": 300,
          "serviceAccountName": "288219978516-compute@developer.gserviceaccount.com",
          "containers": [
            {
              "name": "server",
              "image": "mirror.gcr.io/jerryenebeli/blnk@sha256:1e34412eafd9a9533a112919d26a24d56a37219741ce66159890e50777850c11",
              "ports": [
                {
                  "name": "http1",
                  "containerPort": 5001
                }
              ],
              "resources": {
                "limits": {
                  "cpu": "1000m",
                  "memory": "512Mi"
                }
              },
              "volumeMounts": [
                {
                  "name": "blnk_json",
                  "mountPath": "/blnk_json"
                }
              ],
              "livenessProbe": {
                "initialDelaySeconds": 30,
                "timeoutSeconds": 1,
                "periodSeconds": 10,
                "failureThreshold": 3,
                "httpGet": {
                  "path": "/health",
                  "port": 5001
                }
              },
              "startupProbe": {
                "initialDelaySeconds": 30,
                "timeoutSeconds": 240,
                "periodSeconds": 240,
                "failureThreshold": 1,
                "tcpSocket": {
                  "port": 5001
                }
              }
            },
            {
              "name": "worker",
              "image": "mirror.gcr.io/jerryenebeli/blnk@sha256:20c1d8895a8c5ccfa155f337211c5adbe32574948cbb6813f5bf6299e63ba79f",
              "command": [
                "blnk",
                "workers"
              ],
              "resources": {
                "limits": {
                  "cpu": "1000m",
                  "memory": "512Mi"
                }
              },
              "volumeMounts": [
                {
                  "name": "blnk_json",
                  "mountPath": "/blnk_json"
                }
              ]
            },
            {
              "name": "migration-job",
              "image": "mirror.gcr.io/jerryenebeli/blnk@sha256:20c1d8895a8c5ccfa155f337211c5adbe32574948cbb6813f5bf6299e63ba79f",
              "command": [
                "blnk",
                "migrate",
                "up"
              ],
              "resources": {
                "limits": {
                  "cpu": "1000m",
                  "memory": "512Mi"
                }
              },
              "volumeMounts": [
                {
                  "name": "blnk_json",
                  "mountPath": "/blnk_json"
                }
              ]
            }
          ],
          "volumes": [
            {
              "name": "blnk_json",
              "secret": {
                "secretName": "blnk_json",
                "items": [
                  {
                    "key": "latest",
                    "path": "blnk_json"
                  }
                ]
              }
            }
          ]
        },
        "status": {
          "observedGeneration": 1,
          "conditions": [
            {
              "type": "Ready",
              "status": "False",
              "reason": "HealthCheckContainerError",
              "message": "The user-provided container failed to start and listen on the port defined provided by the PORT=5001 environment variable within the allocated timeout. This can happen when the container port is misconfigured or if the timeout is too short. The health check timeout can be extended. Logs for this revision might contain more information.\n\nLogs URL: https://console.cloud.google.com/logs/viewer?project=witaxipay-bhadala&resource=cloud_run_revision/service_name/bhadala-blnk/revision_name/bhadala-blnk-00003-5bg&advancedFilter=resource.type%3D%22cloud_run_revision%22%0Aresource.labels.service_name%3D%22bhadala-blnk%22%0Aresource.labels.revision_name%3D%22bhadala-blnk-00003-5bg%22 \nFor more troubleshooting guidance, see https://cloud.google.com/run/docs/troubleshooting#container-failed-to-start",
              "lastTransitionTime": "2025-01-22T22:48:48.536477Z"
            },
            {
              "type": "ContainerHealthy",
              "status": "False",
              "reason": "HealthCheckContainerError",
              "message": "The user-provided container failed to start and listen on the port defined provided by the PORT=5001 environment variable within the allocated timeout. This can happen when the container port is misconfigured or if the timeout is too short. The health check timeout can be extended. Logs for this revision might contain more information.\n\nLogs URL: https://console.cloud.google.com/logs/viewer?project=witaxipay-bhadala&resource=cloud_run_revision/service_name/bhadala-blnk/revision_name/bhadala-blnk-00003-5bg&advancedFilter=resource.type%3D%22cloud_run_revision%22%0Aresource.labels.service_name%3D%22bhadala-blnk%22%0Aresource.labels.revision_name%3D%22bhadala-blnk-00003-5bg%22 \nFor more troubleshooting guidance, see https://cloud.google.com/run/docs/troubleshooting#container-failed-to-start",
              "lastTransitionTime": "2025-01-22T22:48:48.536477Z"
            },
            {
              "type": "ContainerReady",
              "status": "True",
              "message": "Container image import completed.",
              "lastTransitionTime": "2025-01-22T22:48:36.750153Z"
            },
            {
              "type": "MinInstancesProvisioned",
              "status": "Unknown",
              "reason": "MinInstancesWarming",
              "lastTransitionTime": "2025-01-22T22:48:39.449402Z"
            },
            {
              "type": "ResourcesAvailable",
              "status": "True",
              "message": "Revision deployment finished in 2.7s. Checking container health.",
              "lastTransitionTime": "2025-01-22T22:48:39.449402Z"
            },
            {
              "type": "Retry",
              "status": "True",
              "reason": "ImmediateRetry",
              "message": "System will retry after 0:00:00 from lastTransitionTime for attempt 0.",
              "lastTransitionTime": "2025-01-22T22:48:39.449402Z",
              "severity": "Info"
            }
          ],
          "logUrl": "https://console.cloud.google.com/logs/viewer?project=witaxipay-bhadala&resource=cloud_run_revision/service_name/bhadala-blnk/revision_name/bhadala-blnk-00003-5bg&advancedFilter=resource.type%3D%22cloud_run_revision%22%0Aresource.labels.service_name%3D%22bhadala-blnk%22%0Aresource.labels.revision_name%3D%22bhadala-blnk-00003-5bg%22",
          "containerStatuses": [
            {
              "name": "server",
              "imageDigest": "mirror.gcr.io/jerryenebeli/blnk@sha256:1e34412eafd9a9533a112919d26a24d56a37219741ce66159890e50777850c11"
            },
            {
              "name": "worker",
              "imageDigest": "mirror.gcr.io/jerryenebeli/blnk@sha256:20c1d8895a8c5ccfa155f337211c5adbe32574948cbb6813f5bf6299e63ba79f"
            },
            {
              "name": "migration-job",
              "imageDigest": "mirror.gcr.io/jerryenebeli/blnk@sha256:20c1d8895a8c5ccfa155f337211c5adbe32574948cbb6813f5bf6299e63ba79f"
            }
          ],
          "desiredReplicas": 1
        },
        "@type": "type.googleapis.com/google.cloud.run.v1.Revision"
      }
    },
    "insertId": "uuz2v8c350",
    "resource": {
      "type": "cloud_run_revision",
      "labels": {
        "service_name": "bhadala-blnk",
        "configuration_name": "bhadala-blnk",
        "project_id": "witaxipay-bhadala",
        "location": "us-east1",
        "revision_name": "bhadala-blnk-00003-5bg"
      }
    },
    "timestamp": "2025-01-22T22:48:48.552123Z",
    "severity": "ERROR",
    "logName": "projects/witaxipay-bhadala/logs/cloudaudit.googleapis.com%2Fsystem_event",
    "receiveTimestamp": "2025-01-22T22:48:49.465048968Z"
  },
  {
    "protoPayload": {
      "@type": "type.googleapis.com/google.cloud.audit.AuditLog",
      "status": {
        "code": 9,
        "message": "Ready condition status changed to False for Service bhadala-blnk with message: Revision 'bhadala-blnk-00003-5bg' is not ready and cannot serve traffic. The user-provided container failed to start and listen on the port defined provided by the PORT=5001 environment variable within the allocated timeout. This can happen when the container port is misconfigured or if the timeout is too short. The health check timeout can be extended. Logs for this revision might contain more information.\n\nLogs URL: https://console.cloud.google.com/logs/viewer?project=witaxipay-bhadala&resource=cloud_run_revision/service_name/bhadala-blnk/revision_name/bhadala-blnk-00003-5bg&advancedFilter=resource.type%3D%22cloud_run_revision%22%0Aresource.labels.service_name%3D%22bhadala-blnk%22%0Aresource.labels.revision_name%3D%22bhadala-blnk-00003-5bg%22 \nFor more troubleshooting guidance, see https://cloud.google.com/run/docs/troubleshooting#container-failed-to-start"
      },
      "serviceName": "run.googleapis.com",
      "methodName": "/Services.ReplaceService",
      "resourceName": "namespaces/witaxipay-bhadala/services/bhadala-blnk",
      "response": {
        "metadata": {
          "name": "bhadala-blnk",
          "namespace": "288219978516",
          "selfLink": "/apis/serving.knative.dev/v1/namespaces/288219978516/services/bhadala-blnk",
          "uid": "950cef21-63ce-4b98-b2de-13e6573b4af0",
          "resourceVersion": "AAYsU0v3JOI",
          "generation": 3,
          "creationTimestamp": "2025-01-22T17:58:05.141602Z",
          "labels": {
            "cloud.googleapis.com/location": "us-east1"
          },
          "annotations": {
            "run.googleapis.com/client-name": "cloud-console",
            "run.googleapis.com/operation-id": "9a9cff38-a0ad-4fc3-bf0c-e4c090f13d01",
            "run.googleapis.com/ingress": "all",
            "run.googleapis.com/ingress-status": "all",
            "run.googleapis.com/minScale": "1",
            "run.googleapis.com/urls": "[\"https://bhadala-blnk-288219978516.us-east1.run.app\"]"
          }
        },
        "apiVersion": "serving.knative.dev/v1",
        "kind": "Service",
        "spec": {
          "template": {
            "metadata": {
              "labels": {
                "client.knative.dev/nonce": "f21de577-3682-440e-9ec6-2e5bce70d3af",
                "run.googleapis.com/startupProbeType": "Custom"
              },
              "annotations": {
                "autoscaling.knative.dev/maxScale": "5",
                "autoscaling.knative.dev/minScale": "1",
                "run.googleapis.com/client-name": "cloud-console",
                "run.googleapis.com/startup-cpu-boost": "true"
              }
            },
            "spec": {
              "containerConcurrency": 80,
              "timeoutSeconds": 300,
              "serviceAccountName": "288219978516-compute@developer.gserviceaccount.com",
              "containers": [
                {
                  "name": "server",
                  "image": "jerryenebeli/blnk:latest",
                  "ports": [
                    {
                      "name": "http1",
                      "containerPort": 5001
                    }
                  ],
                  "resources": {
                    "limits": {
                      "cpu": "1000m",
                      "memory": "512Mi"
                    }
                  },
                  "volumeMounts": [
                    {
                      "name": "blnk_json",
                      "mountPath": "/blnk_json"
                    }
                  ],
                  "livenessProbe": {
                    "initialDelaySeconds": 30,
                    "timeoutSeconds": 1,
                    "periodSeconds": 10,
                    "failureThreshold": 3,
                    "httpGet": {
                      "path": "/health",
                      "port": 5001
                    }
                  },
                  "startupProbe": {
                    "initialDelaySeconds": 30,
                    "timeoutSeconds": 240,
                    "periodSeconds": 240,
                    "failureThreshold": 1,
                    "tcpSocket": {
                      "port": 5001
                    }
                  }
                },
                {
                  "name": "worker",
                  "image": "jerryenebeli/blnk:0.8.0",
                  "command": [
                    "blnk",
                    "workers"
                  ],
                  "resources": {
                    "limits": {
                      "cpu": "1000m",
                      "memory": "512Mi"
                    }
                  },
                  "volumeMounts": [
                    {
                      "name": "blnk_json",
                      "mountPath": "/blnk_json"
                    }
                  ]
                },
                {
                  "name": "migration-job",
                  "image": "jerryenebeli/blnk:0.8.0",
                  "command": [
                    "blnk",
                    "migrate",
                    "up"
                  ],
                  "resources": {
                    "limits": {
                      "cpu": "1000m",
                      "memory": "512Mi"
                    }
                  },
                  "volumeMounts": [
                    {
                      "name": "blnk_json",
                      "mountPath": "/blnk_json"
                    }
                  ]
                }
              ],
              "volumes": [
                {
                  "name": "blnk_json",
                  "secret": {
                    "secretName": "blnk_json",
                    "items": [
                      {
                        "key": "latest",
                        "path": "blnk_json"
                      }
                    ]
                  }
                }
              ]
            }
          },
          "traffic": [
            {
              "percent": 100,
              "latestRevision": true
            }
          ]
        },
        "status": {
          "observedGeneration": 3,
          "conditions": [
            {
              "type": "Ready",
              "status": "False",
              "reason": "HealthCheckContainerError",
              "message": "Revision 'bhadala-blnk-00003-5bg' is not ready and cannot serve traffic. The user-provided container failed to start and listen on the port defined provided by the PORT=5001 environment variable within the allocated timeout. This can happen when the container port is misconfigured or if the timeout is too short. The health check timeout can be extended. Logs for this revision might contain more information.\n\nLogs URL: https://console.cloud.google.com/logs/viewer?project=witaxipay-bhadala&resource=cloud_run_revision/service_name/bhadala-blnk/revision_name/bhadala-blnk-00003-5bg&advancedFilter=resource.type%3D%22cloud_run_revision%22%0Aresource.labels.service_name%3D%22bhadala-blnk%22%0Aresource.labels.revision_name%3D%22bhadala-blnk-00003-5bg%22 \nFor more troubleshooting guidance, see https://cloud.google.com/run/docs/troubleshooting#container-failed-to-start",
              "lastTransitionTime": "2025-01-22T22:48:48.584996Z"
            },
            {
              "type": "ConfigurationsReady",
              "status": "True",
              "message": "The user-provided container failed to start and listen on the port defined provided by the PORT=5001 environment variable within the allocated timeout. This can happen when the container port is misconfigured or if the timeout is too short. The health check timeout can be extended. Logs for this revision might contain more information.\n\nLogs URL: https://console.cloud.google.com/logs/viewer?project=witaxipay-bhadala&resource=cloud_run_revision/service_name/bhadala-blnk/revision_name/bhadala-blnk-00003-5bg&advancedFilter=resource.type%3D%22cloud_run_revision%22%0Aresource.labels.service_name%3D%22bhadala-blnk%22%0Aresource.labels.revision_name%3D%22bhadala-blnk-00003-5bg%22 \nFor more troubleshooting guidance, see https://cloud.google.com/run/docs/troubleshooting#container-failed-to-start",
              "lastTransitionTime": "2025-01-22T22:48:48.576350Z"
            },
            {
              "type": "RoutesReady",
              "status": "False",
              "reason": "HealthCheckContainerError",
              "message": "Revision 'bhadala-blnk-00003-5bg' is not ready and cannot serve traffic. The user-provided container failed to start and listen on the port defined provided by the PORT=5001 environment variable within the allocated timeout. This can happen when the container port is misconfigured or if the timeout is too short. The health check timeout can be extended. Logs for this revision might contain more information.\n\nLogs URL: https://console.cloud.google.com/logs/viewer?project=witaxipay-bhadala&resource=cloud_run_revision/service_name/bhadala-blnk/revision_name/bhadala-blnk-00003-5bg&advancedFilter=resource.type%3D%22cloud_run_revision%22%0Aresource.labels.service_name%3D%22bhadala-blnk%22%0Aresource.labels.revision_name%3D%22bhadala-blnk-00003-5bg%22 \nFor more troubleshooting guidance, see https://cloud.google.com/run/docs/troubleshooting#container-failed-to-start",
              "lastTransitionTime": "2025-01-22T22:48:48.584996Z"
            }
          ],
          "latestReadyRevisionName": "bhadala-blnk-00003-5bg",
          "latestCreatedRevisionName": "bhadala-blnk-00003-5bg"
        },
        "@type": "type.googleapis.com/google.cloud.run.v1.Service"
      }
    },
    "insertId": "hrb28oc4sw",
    "resource": {
      "type": "cloud_run_revision",
      "labels": {
        "location": "us-east1",
        "configuration_name": "",
        "service_name": "bhadala-blnk",
        "project_id": "witaxipay-bhadala",
        "revision_name": ""
      }
    },
    "timestamp": "2025-01-22T22:48:48.679322Z",
    "severity": "ERROR",
    "logName": "projects/witaxipay-bhadala/logs/cloudaudit.googleapis.com%2Fsystem_event",
    "receiveTimestamp": "2025-01-22T22:48:48.716740691Z"
  }
]

mokit · January 22, 2025, 11:19pm

Have you checked if the container image (mirror.gcr.io/jerryenebeli/blnk@sha256:20c1d8895a8c5ccfa155f337211c5adbe32574948cbb6813f5bf6299e63ba79f) runs successfully on your local machine in the port 5001?

Kamal_Moha · January 22, 2025, 11:30pm

YES the container image jerryenebeli/blnk@sha256:20c1d8895a8c5ccfa155f337211c5adbe32574948cbb6813f5bf6299e63ba79f runs successfully on my local machine. It renders an API application on port 5001

mokit · January 22, 2025, 11:36pm

Using this image, can you create a new separate Cloud Run? Let me know if you encounter any errors.

Kamal_Moha · January 23, 2025, 10:53am

I ran this image in a separate cloud run and I get the same error;

“Revision ‘blnk-server-solo-00001-lx9’ is not ready and cannot serve traffic. The user-provided container failed to start and listen on the port defined provided by the PORT=5001 environment variable within the allocated timeout. This can happen when the container port is misconfigured or if the timeout is too short. The health check timeout can be extended”

I would like to give you some context into this service/application I’m trying to run. This application(when working properly) renders an API that’s able to handle requests. But for this application to run as expected, it needs managed database instances of Postgres & Redis connected to it. When I was running it locally with docker compose, I was using docker images of Postgres & Redis.

I have done more research into this and found out that cloud run doesn’t support databases. Cloud run is for http services.

However, through Google’s Cloud SQL, I was able to create a Postgres instance. And use Memorystore for Redis to create a Redis instance.

Surely, the API portion can be hosted in cloud run, but that API portion needs these Databases connected.

Considering all of this Mr @mokit , what advice do you have for me and how can I bring these pieces together. I have personally opted for Cloud run because it’s cheap(with a free tier) and relatively straightforward to have something up & running.

What advice do you have for me?

mokit · January 23, 2025, 7:10pm

Unfortunately, I wasn’t aware that the database service can’t be run directly on Cloud Run, as I haven’t tested it before. I plan to explore this in the future. If possible, could you provide some documentation on this?

Let’s move on to your queries. Yes, you can use Cloud Run for your backend service as a web server to serve the API. For the database, you can select Cloud SQL (since you’re planning to use PostgreSQL) and for caching, you can choose Memorystore for Redis. However, I do have a few more questions regarding this architecture before we proceed.

Could you please let me know what you’re planning to use the system for? Is it for a demo or an MVP project. Or are you planning to use it as a business system in production?

If you’re planning to use this as a production system for regular use, how many users do you expect to access it? Do you have any specific requirements regarding system cost, latency or future scalability?

Kamal_Moha · January 23, 2025, 9:06pm

I have found the Database element not being a proper thing for Cloud run via Stackoveflow & reddit forums during my research. Will ook up some documentation on this & will share.

YES I have actually created a Postgres instance in Cloud SQL & a Redis instance(in MemoryStore) with the aim of using it in Cloud run for this service.

Let me share the goal with this. On my end, I want to host this service for temporary sandbox testing purposes. My intention is to spin something quickly, make tests and then stop after the purpose is achieved. Surely if I find cloud run performing well, then can decide to take to it to prod to about 50 users.

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