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.
It has a similar purpose in terms of hosting and orchestrating applications in Docker containers. GoogleCloud Run stands out for being much easier and more intuitive to maintain and configure, and can even be used by teams with little knowledge of container orchestration …
Usage is easy and also we have GCP as out cloud partner hence we made up our mind to go with Cloud Run and so far no issues things are going fine with it. and getting good features from Google in it.
The Goolge docs for their products as well as the UI is a lot nicer than AWS or Azure and in general I found it much easy to work with. We selected Google mainly because of startup credits and the support offered but can confidently say we would choose them again without that …
Most of our existing serverless services are deployed on Google to it was a natural choice. With the new artifact registry, its very easy to deploy. With git flows, its now even easier to update the deployment just with a commit to the main branch. The initial trial period is …
The other two obvious cloud providers have direct alternatives: AWS Lambda and Azure Functions. Both were also evaluated briefly (only to validate that they exist); however, the organization had settled on shifting to Google for business reasons, and therefore, the comparison …
Flexibility of features snd customzing options tha optimized the large process and make it on the the go to reuse the same process in multiple deployments ot rollouts
Cloud Run is just so much easier and straightforward to work with than EC2 when it comes to getting a Docker image up and running and serving requests.
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.
The UI can be made simpler. Currently the UI is bloated and it takes time to find out what you want
More integrations with container registry providers (ECR, dockerhub)
Better permissions UX. Currently GCP requires service accounts to be used with cloud products, the experience adding/removing permissions is difficult to navigate
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.