How to Deploy a Containerized Application on Google Cloud Run

Are you ready to take your containerized application to the next level with Google Cloud Run? This serverless platform makes deploying your application a breeze, and with its flexibility and scalability, you'll be able to handle steady traffic and peak loads with ease. In this guide, we're going to show you how to deploy a containerized application on Google Cloud Run step-by-step, so you can start taking advantage of this powerful platform right away.


Before we dive into how to deploy a containerized application on Google Cloud Run, there are a few things you need to have in place.

If you don't have a GCP account, you can sign up for a free trial here. Once you have your account set up, create a new project in the GCP console.

Steps to Deploy a Containerized Application on Google Cloud Run

  1. Build and Push Your Docker Image to Google Container Registry

Before you can deploy your containerized application to Cloud Run, you need to build and push your Docker image to Google Container Registry (GCR). GCR is a fully-managed, scalable Docker registry that makes it effortless to store, manage, and secure your container images.

To build and push your Docker image to GCR, follow these steps:

  1. Create a New Cloud Run Service

Now that you have your Docker image stored in GCR, you're ready to create a new Cloud Run service. A service is a named set of one or more container instances that run the same configuration. You can manage each service separately, which makes it easy to deploy new versions or scale up or down as needed.

To create a new Cloud Run service, follow these steps:

  1. Test Your Cloud Run Service

With your new Cloud Run service created, it's time to test it and make sure it's working correctly. You can test your service by sending an HTTP request to its URL. Cloud Run automatically generates a URL for each service you create, which makes it easy to access and test.

To test your Cloud Run service, follow these steps:

  1. Configure Your Service for Automatic Scaling

One of the major benefits of using Cloud Run is its automatic scaling feature. With automatic scaling, you can ensure your service is always running at the optimal number of container instances to handle incoming traffic. This can help reduce costs while improving performance and reliability.

To configure your service for automatic scaling, follow these steps:

  1. Make Your Service Publicly Accessible

By default, Cloud Run services are only accessible to authorized parties. If you want to allow anyone to access your service, you need to configure it to be publicly accessible. This involves updating your service's permissions and configuring it to allow unauthenticated requests.

To make your service publicly accessible, follow these steps:

Congratulations, you've successfully deployed a containerized application on Google Cloud Run! With this guide, you should be able to tackle any application deployment challenges with ease. Remember to keep your Docker images up-to-date and take advantage of Cloud Run's powerful scaling features to ensure your applications can handle even the busiest traffic loads.


In this guide, we've covered the key steps to deploy a containerized application on Google Cloud Run. From building and pushing your Docker image to GCR, to creating and configuring a new Cloud Run service and making it publicly accessible, these steps represent the core of any successful deployment process.

With Google Cloud Run, you have the power and flexibility to deploy your applications to the cloud with ease. Whether you're deploying a new application or scaling an existing one, Cloud Run's serverless platform is a game-changer that can help you save time and increase efficiency.

So what are you waiting for? Dive into the world of Cloud Run today and take your application deployment process to the next level.

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