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

For prototyping or quick deployment, it works as an interesting step between containerized deployment (Kubernetes) vs pure Compute Engine (raw servers). It's not well suited for Kubernetes shops, or for teams that would prefer more hardware control.

Incentivized

• Packaging of application to limit the space occupied
• Ease of running the application
• Provide multiple ways to handle the application issues and integration of different components like pipeline, ansible, terraform etc

• Can easily run our apps in a docker in Google Cloud Run which has simplified code testing and deployment.
• Can easily scale and does not have any problem when put under a large load.
• Has all the necessary services so you don't need to look for other cloud solutions.
• Pay as you go model so only pay for that you've used and how long you've used it.

• Docker hub image retention policy can be relaxed
• Docker hub policies can be more developer friendly
• Docker CLI help section can be improved
• Image and container storage (local) management can be optimized

Incentivized

• Some more use case/ manual/notes to be available on internet
• Cost can be minimized.
• Not able to use in mobile phone

Incentivized

Very easy to use, great tutorials, documentation and cheat sheets out there to help you become a Docker Wiz

Incentivized

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

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

The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.

Incentivized

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

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

• Reduces the number of virtual machine which impacted our quarterly billing
• Using docker with proxy we run multiple application on same port on same host.
• impact on billing is we have to provide docker training to the people who are working on it.

• Improved production deployment times by 50%
• The error analysis time was reduced by 30%, thanks to its logging and monitoring system.
• The rollback is almost immediate, as it easily allows reverting to a previous stable version.

Incentivized