I'm trying to deploy python apps on cloud run & i want to use buildpacks as cloud build trigger configuration. I created cloud build trigger and when i run it the image was created succesfully on container registry, but the service on cloud run still wasn't created.
I've tried to add cloudbuild.yaml to create cloud run service but still not helping. Can anybody give some advice?
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I made a google cloud run trigger that creates an image the moment you make a git push into the repo. This creates the image that is stored in gc, but in the long run that will be full of docker images. I´m lookin for a way to do it automatically, i know it can be done manually but that is not what I want. Anything is helpful at this moment
You can integrate your code in Cloud Source Repositories. Then, Cloud Build will create the desired Docker image than will be pushed to Google Cloud Container Registry. As soon as you commit code, the whole pipeline will run, updating the image.
Click the Cloud Run instance / Set up continuous deployment, enter the GitHub repo and enter Build configuration.
Then you attach the existing Cloud Build trigger to Cloud Run service
GCP Documentation:
https://cloud.google.com/run/docs/continuous-deployment-with-cloud-build
So, I've deployed a container using Google Cloud Run with continuous deployment. Google Cloud Build says that build was successful, but when I go to app url I see a error page: "Continuous deployment has been set up, but your repository has failed to build and deploy.".
There's no container logs in Google Cloud Run logs page, the only ones I can see are: "Hello from Cloud Run! The container started successfully and is listening for HTTP requests on $PORT"
How do I find deployment and run logs in order to figure out what went wrong?
Make sure your Build,Push and Deploy step was set up correctly in Cloud Build (either within your repository cloudbuild.yaml or Inline in the trigger). Since you are likely using a trigger you can find the configuration there (Cloud Build > Triggers > {your-tigger}).
The error can mean that the image you are trying to mount in your Cloud Run did not build correctly.
To verify the image has been created you can go to Cloud Run YAML tab and verify the image it is trying to pull is actually there (Cloud Run > {your-service} > YAML tab).
I have a docker container which I push to GCR like gcloud builds submit --tag gcr.io/<project-id>/<name>, and when I deploy it on GCE instance, every time I deploy it creates a new instance and I have to remove the old instance manually. The question is, is there a way to deploy containers and force the GCE instances to fetch new containers? I need exactly GCE, not Google Cloud Run or other because it is not an HTTP service.
I deploy the container from Google Console using the Deploy to Cloud Run button
I'm posting this Community Wiki for better visibility. In the comment section there were already a few good solutions, however at the end OP wants to use Cloud Run.
At first I'd like to clarify a few things.
I have a docker container which I push to GCR like gcloud builds submit
gcloud builds submit is a command to build using Google Cloud Build.
Cloud Build is a service that executes your builds on Google Cloud Platform infrastructure. Cloud Build can import source code from Cloud Storage, Cloud Source Repositories, GitHub, or Bitbucket, execute a build to your specifications, and produce artifacts such as Docker containers or Java archives.
In this question, OP is referring to Container Registry, however GCP recommends to use Artifact Registry which soon will replace Container Registry.
Pushing and pulling images from Artifact Registry is explained in Pushing and pulling images documentation. It can be done by docker push or docker pull command, where earlier you have to tag an image and create Artifact Registry.
Deploying on different GCP products
Regarding deploying on GCE, GKE and Cloud Run, those are GCP products which are quite different from each.
GCE is IaaS where you are specifying the amount of resources and you are maintaining all the installation of all software (you would need to install Docker, Kubernetes, programming libs, etc).
GKE is like Hybrid as you mention the amount of resources you need but it's customized to run containers on it. After creation you already have docker, kubernetes and other software needed to run containers on it.
Cloud Run is a serverless GCP product, where you don't need to calculate the amount of needed resources, installing software/libs, it's a fully managed serverless platform.
When you want to deploy a container app from Artifact Registry / Container Registry, you are creating another VM (GCE and GKE) or new service (Cloud Run).
If you would like to deploy new app on the same VM:
On GCE, you would need to pull an image and deploy it on that VM using Docker or Kubernetes (Kubeadm).
On GKE you would need to deploy a new deployment using command like
kubectl create deployment test --image=<location>-docker.pkg.dev/<projectname>/<artifactRegistryName>/<imageName>
and delete the old one.
In Cloud Run you can deploy an app without concerns about resources or hardware, which steps are described here. You can create revisions for specific changes in the image. However Cloud Run also allows CI/CD using GitHub, BitBucket or Cloud Source Repositories. This process is also well described in GCP documentation - Continuous deployment
Possible solutions:
Write a Cloudbuild.yaml file that do that for you at each CI/CD pipeline run
Write a small application on GCE that subscribes to Pub/Sub notifications created by Cloud Build. You can then either pull the new container or launch a new instance.
Use Cloud Run with CI/CD.
Based on one of the OP's comments, as chosen solution was to use Cloud Run with CI/CD.
Currently I trigger a Cloud Build each time a pull request is completed.
The image is built correctly, but we have to manually go to Edit and Deploy New Revision and select the most recent docker image to deploy.
How can we automate this process and have the a container deployed from the image automatically?
You can do it with a pretty simple GitHub Action. I have followed this article:
https://towardsdatascience.com/deploy-to-google-cloud-run-using-github-actions-590ecf957af0
Cloud Run also natively integrates with Cloud Build. You can import a GitHub repository and it sets up a GCB trigger for your repository (on the specified branch or tag filter).
You can use GitLab CI to automate your Cloud Run deployment.
Here are the tutorial if you want to automate your deployment with GitLab CI Link
I am trying to set up a CI/CD pipeline using one of my public GitHub repositories as the source for Cloud Run (fully-managed) service using Cloud Build. I am using a Dockerfile initialized in root folder of the repository with source configuration parameter initialized as /Dockerfile when setting up the cloud build trigger. (to continuously deploy new revisions from source repository)
When, I initialize the cloud run instance, I face the following error:
Moreover, when I try to run my cloud build trigger manually, it shows the following error:
I also tried editing continuous deployment settings by setting it to automatically detect Dockerfile/cloudbuild.yaml. After that, build process becomes successful but the revision are not getting updated. I've also tried deploying a new revision and then triggering cloud build trigger but it isn't still able to pick the latest build from container registry.
I am positive that my Dockerfile and application code are working properly since I've previously submitted the build on Container registry using Google Cloud Shell and have tested it manually after deploying it to cloud run.
Need help to fix the issue.
UPPERCASE letters in the image path aren't allowed. Chnage Toxicity-Detector to toxicity-detector