Google Cloud Run

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Run
Score 9.1 out of 10
N/A
Google Cloud Run enables users to build and deploy scalable containerized apps written in any language (including Go, Python, Java, Node.js, .NET, and Ruby) on a fully managed platform. Cloud Run can be paired with other container ecosystem tools, including Google's Cloud Build, Cloud Code, Artifact Registry, and Docker. And it features out-of-the-box integration with Cloud Monitoring, Cloud Logging, Cloud Trace, and Error Reporting to ensure the health of an application.N/A
Pricing
Google Cloud Run
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
Google Cloud Run
Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details
More Pricing Information
Features
Google Cloud Run
Container Management
Comparison of Container Management features of Product A and Product B
Google Cloud Run
7.3
Ratings
6% below category average
Security and Isolation8.60 Ratings
Container Orchestration8.40 Ratings
Cluster Management6.40 Ratings
Storage Management2.70 Ratings
Resource Allocation and Optimization8.10 Ratings
Discovery Tools7.60 Ratings
Update Rollouts and Rollbacks8.00 Ratings
Self-Healing and Recovery8.10 Ratings
Analytics, Monitoring, and Logging7.50 Ratings
Best Alternatives
Google Cloud Run
Small Businesses
Portainer
Portainer
Score 9.6 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
All AlternativesView all alternatives
User Ratings
Google Cloud Run
Likelihood to Recommend
8.2
(0 ratings)
Usability
6.4
(0 ratings)
User Testimonials
Google Cloud Run
Likelihood to Recommend
Microservices and RestFul API application as it is fast and reliant. Seamless integration with event triggers such as pubsub or event arc, so you can easily integrate that with usecases with file uploads, database changes, etc. Basically great with short-lived tasks, if however, you have long-running processses, Cloud Run might not be idle for this. For example if you have a long running data processing task, other solutions such as kubeflow pipelines or dataflow are more suited for this kind of tasks. Cloud Run is also stateless, so if you need memory, you will have to connect an external database.
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Pros
  • Real-time autoscaling. Escalamento automático em tempo real
  • Simplified Continuous Deployment. Implantação contínua simplificada
  • Running tasks in the background. Execução de tarefas em segundo plano
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Cons
  • Cloud Run doesn't allow you to redeploy an already existing revision which can be inconvenient in some use cases
  • Tricky to get the deployment working to start but once it's working that's great
  • The actual deployment is not the fastest but it's not too bad
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Likelihood to Renew
We definitely need to renew it because we dont own our own infrastructure and storage and we are happy with Cloud Run features
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Usability
The UI/console is great... the documentation is top-notch for developers, but the CLI itself when you have to script around it is very complex and easy to forget some options... the downside of a generic command line client.
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Reliability and Availability
Not seen any major issues when we run applications its good
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Performance
Initially we felt slow but slowly it picked up and easy to manage
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Implementation Rating
I was involved in the initial implementation setup, Its easy with the given documentaiton we can do ourself. Not that critical
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Alternatives Considered
AWS Lambda supports code zip package, enabling lower cold start time. Also, AWS Lambda pricing is much simpler, easier to understand.
Other than that, the 2 products are very similar, including the Docker image support: the image must be built based on proprietary base image.
Obviously, if your other services are running in GCP, then Google Cloud Run is your only choice for tight integration, & private networking.
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Scalability
It has good auto scale feature and reliable also
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Return on Investment
  • It has saved us some costs since we now do not require a live server and have moved to a serverless workflow for these services
  • Breaking changes do not affect the entire application now that we have separated our concerns using a serverless service
  • Much easier to debug since we can now isolate our services and reduce the search space for finding/fixing bugs
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ScreenShots