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Cloud Run (Managed) - Google Cloud

Introduction

Cloud Run (Managed) is a fully managed compute platform that automatically scales your stateless containers. It abstracts away infrastructure management, allowing you to focus on writing code. This serverless option is ideal for applications with variable workloads.

Key Concepts

Definitions

  • **Serverless**: A cloud computing model that allows you to build and run applications without managing servers.
  • **Container**: A lightweight, standalone, executable package that includes everything needed to run a piece of software.
  • **Scaling**: The process of adjusting the amount of computing resources based on demand.

Getting Started

To deploy a containerized application to Cloud Run, follow these steps:

Note: Ensure you have the Google Cloud SDK installed and configured.
  1. Build your container image.
  2. docker build -t gcr.io/YOUR_PROJECT_ID/YOUR_IMAGE_NAME .
  3. Push the container image to Google Container Registry.
  4. docker push gcr.io/YOUR_PROJECT_ID/YOUR_IMAGE_NAME
  5. Deploy the image to Cloud Run.
  6. gcloud run deploy YOUR_SERVICE_NAME --image gcr.io/YOUR_PROJECT_ID/YOUR_IMAGE_NAME --platform managed --region YOUR_REGION

Flowchart of the Deployment Process


graph TD;
    A[Start] --> B[Build Image];
    B --> C[Push Image];
    C --> D[Deploy to Cloud Run];
    D --> E[Service Running];

Best Practices

  • Optimize your container image size to improve deployment speed.
  • Use environment variables for configuration settings.
  • Enable Cloud Run’s traffic splitting feature for gradual deployments.
  • Monitor your service using Stackdriver to analyze performance.

FAQ

What programming languages are supported?

Cloud Run supports any programming language that can run in a container, including Python, Go, Node.js, and Java.

Is there a limit to the number of requests?

Cloud Run can handle up to 60 minutes of request processing time with concurrent requests based on your configurations.

How does billing work?

Billing is based on the resources used (CPU and memory) and the number of requests processed, with a free tier available.