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Google Cloud Run

Run stateless HTTP containers on a fully managed environment or in your own GKE cluster
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What is Google Cloud Run?

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.
Google Cloud Run is a tool in the Serverless / Task Processing category of a tech stack.

Who uses Google Cloud Run?

Companies
94 companies reportedly use Google Cloud Run in their tech stacks, including Bepro Company, SplitC, and Ornikar.

Developers
160 developers on StackShare have stated that they use Google Cloud Run.

Google Cloud Run Integrations

Docker, Google Kubernetes Engine, Google Cloud Build, Knative, and Roboflow are some of the popular tools that integrate with Google Cloud Run. Here's a list of all 7 tools that integrate with Google Cloud Run.
Pros of Google Cloud Run
11
HTTPS endpoints
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Fully managed
10
Pay per use
7
Concurrency: multiple requests sent to each container
7
Deploy containers
7
Serverless
6
Custom domains with auto SSL
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"Invoke IAM permission" to manage authentication
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Cons
Decisions about Google Cloud Run

Here are some stack decisions, common use cases and reviews by companies and developers who chose Google Cloud Run in their tech stack.

William Seota

I would like to build a mobile app that can scale to around 1M users over 1 year. We are currently testing with 100 users without any real load issues. We use the MERN stack with React Native Expo, and Google Cloud Services for GCB. We also use Google Cloud Run. We use a microservices architecture that we manage ourselves but thought of using Kafka. However, I need advice on optimising the app in terms of:

  1. load balancing,
  2. caching,
  3. database optimisation,
  4. autoscaling,
  5. load testing, and
  6. continuous optimisation frameworks

Any help would be appreciated! Thanks:)

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What are the best options to host a Spring Boot application that acts as a receiver and publisher from Google Cloud Pub/Sub. I am using Google App Engine to do that, but there is Google Cloud Dataflow and Google Cloud Run that can be used. Which is the best option that can be used for this purpose and also that can handle the failover scenarios as well. Thanks!

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Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

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Google Cloud Run's Features

  • Simple developer experience
  • Fast autoscaling
  • Managed
  • Any language, any library, any binary
  • Leverage container workflows and standards
  • Redundancy
  • Integrated logging and monitoring
  • Built on Knative
  • Custom domains

Google Cloud Run Alternatives & Comparisons

What are some alternatives to Google Cloud Run?
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
Google App Engine
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
AWS Fargate
AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. With AWS Fargate, you no longer have to provision, configure, and scale clusters of virtual machines to run containers.
Heroku
Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
Firebase
Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
See all alternatives

Google Cloud Run's Followers
232 developers follow Google Cloud Run to keep up with related blogs and decisions.