Docker vs. Google Cloud Run

You are going to be able to find the most resources and examples using Docker whenever you are working with a container orchestration software like Kubernetes. There will always some entropy when you run in a container, a containerized application will never be as purely performant as an app running directly on the OS. However, in most scenarios this loss will be negligible to the time saved in deployment, monitoring, etc.

Incentivized

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.

Incentivized

• Kubernetes context switching - very handy
• Integrate well and seamless - No complicated setup and or UX
• Ease of updating images and etc - very important

Incentivized

• 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

Incentivized

• It will be nice to see an admin UI for configuration of images
• Container networking can be simplified
• Data storage/volume management can be simplified

Incentivized

• 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

Incentivized

We definitely need to renew it because we dont own our own infrastructure and storage and we are happy with Cloud Run features

Incentivized

I have been using Docker for more than 3 years and it really simplifies the modern application development and deployment. I like the ability of Docker to improve efficiency, portability and scalability for developers and operations teams. Another reason for giving this rating is because Docker integrates CI/CD pipelines very well

Incentivized

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.

Incentivized

Haven't seen any outages, fatal/unrecoverable errors in my usage so far. Enough said.

Incentivized

Not seen any major issues when we run applications its good

Incentivized

Docker Desktop. The CPU high usage is a known issue. Needs fixing. Otherwise, it is great overall. Would not use anything else still.

Incentivized

Initially we felt slow but slowly it picked up and easy to manage

Incentivized

I was involved in the initial implementation setup, Its easy with the given documentaiton we can do ourself. Not that critical

Incentivized

We need a solution where initially we can use an OS to trigger our pipeline to be used by terraform and then later in ansible. After doing all work it automatically get exited and we can reclaim the space of our VM. So we created a gitlab pipeline and at the initial stage we defined a docker file which will be our base image and we performed all our activities inside that image to build infrastructure using terraform. Integration we have done in our gitlab pipeline and finally we remove the docker image so that the space can be reclaimed immediately.

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.

Incentivized

It is the only tool in our toolset that has not [had] any issues so far. That is really a mark of reliability, and it's a testimony to how well the product is made, and a tool that does its job well is a tool well worth having. It is the base tool that I would say any organisation must have if they do scalable deployment.

Incentivized

It has good auto scale feature and reliable also

Incentivized

• With Docker adoption, were able to reduce 40% of the time taken to complete workspace setup
• Provided the environment packaging / configurability capability which enabled resource sharing and interoperability across teams
• Were able to leverage off the shelf images provided by leading product companies which increased reliability and security exponently

Incentivized

• 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

Incentivized