{"id":3214,"date":"2022-09-28T12:00:17","date_gmt":"2022-09-28T12:00:17","guid":{"rendered":"https:\/\/www.checkmateq.com\/blog\/?p=3214"},"modified":"2023-08-04T13:50:56","modified_gmt":"2023-08-04T13:50:56","slug":"deployment-to-google-cloud","status":"publish","type":"post","link":"https:\/\/www.checkmateq.com\/blog\/deployment-to-google-cloud","title":{"rendered":"Setup Continues Deployment to Google Cloud Run using Cloud Build"},"content":{"rendered":"

In this blog you can learn building a docker image and uploading it to Google Container Registry,\u00a0<\/strong>deploying a container on Cloud<\/a> Run<\/strong> from Google Container Registry, and creating a Continues Deployment Pipeline<\/strong> using<\/p>\n

Build Docker Image and Push it to Google Container Registry<\/h3>\n

Enabling<\/b>\u00a0Container Registry API\u00a0<\/strong><\/p>\n

Login to your GCP<\/a> web console select the project, search for Google Container Registry API and enable it.<\/p>\n

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Build Docker Image<\/strong><\/p>\n

Please install and initialize gcloud cli before following below process, refer to Installing Google Cloud Cli in this blog<\/a> and set the project that you want to work on using below given command.<\/p>\n

List all your projects using command gcloud projects list <\/strong>which will return all the projects with project Id, project name and project number.<\/p>\n

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Set the project using the following command<\/p>\n

gcloud config set project rock-partition-363003<\/strong><\/pre>\n
“rock-partition-363003” is my project ID please use your project ID here.<\/p>\n
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On your terminal go the file path where your Docker file is stored, and use the below command to build your docker Image, if you are new to docker please refer to Step-2 of this blog to learn writing a docker file<\/a> and this blog to learn top-20 docker commands<\/a><\/p>\n
docker build -t gcr.io\/rock-partition-363003\/python-application:ver1<\/strong> .\r\ndocker build -t gcr.io\/<project-ID><\/strong>\/Image-name:tag<\/strong><\/pre>\n
above commands builds the docker image and the option “-t” will allow you to give a name for your docker image (name:tag) where tag is completely optional, python-application<\/strong> is image name and ver1<\/strong> is the tag I am using(tags play an important role in continues deployment)\u00a0 and each gcp project gets a container registry named gcr.io\/<projrct-id><\/strong><\/p>\n
List all the available images using docker command “docker images<\/strong>”<\/p>\n
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Push Docker Image to Google Container Registry<\/strong><\/p>\n
Once you have built and tagged the local image , you can push it to container\u00a0 registry, follow below given structure to build your command.<\/p>\n
docker push gcr.io\/<Project_ID>\/<Image-name>:tag\r\ndocker push gcr.io\/rock-partition-363003\/python-application:ver1\r\n<\/pre>\n
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Now go to your google cloud web console and check for the\u00a0 uploaded Image.<\/p>\n
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Manual Deployment of Container Image from Cloud Registry to Cloud Run<\/h3>\n
Enable Cloud Run API , on your gcp web console search for\u00a0 Cloud Run API\u00a0<\/strong>and enable it<\/p>\n
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Now go to Cloud Run to create a new service , on your web console go to cloud run and follow below given steps<\/p>\n
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Then select the container image you to deploy to cloud run as shown in below snapshot.<\/p>\n
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I opted to deploy from existing\u00a0 container as\u00a0 I am deploying manually this time , and do all the other configuration as your requirement\u00a0 and create the service ,\u00a0 a snapshot of my configuration is given below.<\/p>\n
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you will be redirected to the Service Details<\/strong> page , you can access your service once the deployment is completed\u00a0 using the given link<\/p>\n
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As cloud run is a managed service you will get all the\u00a0 performance , cpu utilization and many other metrics & logs directly without any need of installing a agent.<\/p>\n
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Create Trigger for Continues Deployment using Cloud build and Cloud Run\u00a0<\/strong><\/h3>\n
Enable API’s for source repositories and cloud build and give required permissions, on your web console\u00a0 go to cloud build Settings<\/strong> and give required IAM permissions.<\/p>\n
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Cloud Build enables you to build the container image, store the built image in Container Registry, and then deploy the image to Cloud Run.<\/p>\n
To build and deploy a container image\u00a0 you should have a configuration file which will have instructions for cloud build, go to \u00a0your project root directory and\u00a0 create a configuration\u00a0 file named\u00a0 cloudbuild.yaml\u00a0<\/strong> and write\u00a0 docker<\/strong> build steps to build\u00a0 and push it to Container Registry, and then add a gcloud<\/strong> build step to invoke the gcloud run deploy<\/strong> command which deploys\u00a0 the container image to Cloud Run.<\/p>\n
steps:\r\n# Build the container image\r\n- name: 'gcr.io\/cloud-builders\/docker'\r\n  args: ['build', '-t', 'gcr.io\/PROJECT_ID<\/strong>\/IMAGE<\/strong>', '.']\r\n# Push the container image to Container Registry\r\n- name: 'gcr.io\/cloud-builders\/docker'\r\n  args: ['push', 'gcr.io\/PROJECT_ID<\/strong>\/IMAGE<\/strong>']\r\n# Deploy container image to Cloud Run\r\n- name: 'gcr.io\/google.com\/cloudsdktool\/cloud-sdk'\r\n  entrypoint: gcloud\r\n  args: ['run', 'deploy', 'SERVICE-NAME'<\/strong>, '--image', 'gcr.io\/PROJECT_ID<\/strong>\/IMAGE<\/strong>', '--region', 'REGION'<\/strong>]\r\nimages:\r\n- gcr.io\/PROJECT_ID<\/strong>\/IMAGE\r\n<\/strong><\/pre>\n
Where SERVICE-NAME<\/strong> is the name of the Cloud Run services , REGION<\/strong> is the region of the Cloud Run service you are deploying, PROJECT_ID<\/strong> is your Google Cloud project ID where your image is stored, IMAGE<\/strong> is the name of your image in Container Registry.<\/p>\n
you can get Service Name<\/strong> and Region<\/strong> from service datils page of cloud run.<\/p>\n
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below given configuration is\u00a0 my cloudbuild.yaml file.<\/p>\n
cloudbuild.yaml<\/strong><\/p>\n
steps:\r\n# Build the container image\r\n- name: 'gcr.io\/cloud-builders\/docker'\r\n  args: ['build', '-t', 'gcr.io\/rock-partition-363003\/python-application', '.']\r\n# Push the container image to Container Registry\r\n- name: 'gcr.io\/cloud-builders\/docker'\r\n  args: ['push', 'gcr.io\/rock-partition-363003\/python-application']\r\n# Deploy container image to Cloud Run\r\n- name: 'gcr.io\/google.com\/cloudsdktool\/cloud-sdk'\r\n  entrypoint: gcloud\r\n  args: ['run', 'deploy', 'python-application', '--image', 'gcr.io\/rock-partition-363003\/python-application', '--region', 'us-central1', '--platform', 'managed','--port','80']\r\nimages:\r\n- gcr.io\/rock-partition-363003<\/strong>\/python-application\r\n<\/strong><\/pre>\n
Once you are done with creating\u00a0 configuration file for cloud build, on your gcp web console go to\u00a0 Dashboards<\/strong>\u00a0 in cloud build, set the region and click on SET UP BUILD TRIGGERS<\/strong><\/p>\n
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Give a name to your trigger and select the trigger event on which you want deployment should be triggered on<\/p>\n
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Select a source repository and authenticate it with cloud build.<\/p>\n
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Give your configuration file type and and file path , you can also write an inline YAML file, then HIT the create button , that’s it you have created an continues deployment pipeline using CLOUD RUN<\/strong> and CLOUD BBUILD<\/strong><\/p>\n
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Author Detail:<\/strong><\/p>\n
This blog is written by Amit Kumar, Director of Engineering at Checkmate Global Technologies. He has expertise to lead high performance engineering team. Please get in touch with him for SaaS based product engineering or remote developer<\/a> hiring.<\/p>\n","protected":false},"excerpt":{"rendered":"
In this blog you can learn building a docker image and uploading it to Google Container Registry,\u00a0deploying a container on Cloud Run from Google Container Registry, and creating a Continues Deployment Pipeline using Build Docker Image and Push it to Google Container Registry Enabling\u00a0Container Registry API\u00a0 Login to your GCP web console select the project, … Continue reading “Setup Continues Deployment to Google Cloud Run using Cloud Build”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":3264,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[62,3,79,2,71,70,82,69,68,59,11,78,63,23,16,24,80,8],"_links":{"self":[{"href":"https:\/\/www.checkmateq.com\/blog\/wp-json\/wp\/v2\/posts\/3214"}],"collection":[{"href":"https:\/\/www.checkmateq.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.checkmateq.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.checkmateq.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.checkmateq.com\/blog\/wp-json\/wp\/v2\/comments?post=3214"}],"version-history":[{"count":21,"href":"https:\/\/www.checkmateq.com\/blog\/wp-json\/wp\/v2\/posts\/3214\/revisions"}],"predecessor-version":[{"id":4227,"href":"https:\/\/www.checkmateq.com\/blog\/wp-json\/wp\/v2\/posts\/3214\/revisions\/4227"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.checkmateq.com\/blog\/wp-json\/wp\/v2\/media\/3264"}],"wp:attachment":[{"href":"https:\/\/www.checkmateq.com\/blog\/wp-json\/wp\/v2\/media?parent=3214"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.checkmateq.com\/blog\/wp-json\/wp\/v2\/categories?post=3214"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.checkmateq.com\/blog\/wp-json\/wp\/v2\/tags?post=3214"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}