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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
24 companies reportedly use Google Cloud Run in their tech stacks, including Bepro Company, Ebury, and Apontador.

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

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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I use Google Cloud Run because it's like bring your own docker image to Google Cloud Functions.

I use it for building Dash Apps

It creates a nice url for web apps, and I see it being the evolution of serverless if GCP can scale this up.

My Real-Time Python App Example

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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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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
102 developers follow Google Cloud Run to keep up with related blogs and decisions.
Steven Wilson
David Wine
Shweta Kumbhare
Rick Wagner
EZ XS
Shinaji Tetsuya
Joe Cotellese
Víctor Ernesto Gutiérrez Velázquez
UiGeo Mun
Cyril Geevarghese