Chocolatey vs. Docker

Chocolately is perfect if you need a robust, well-supported (by the community) package manager. It has basically every major library/tool that you need to do development. I used it specifically in UI test automation.

Incentivized

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

• Package management
• Dependency management
• Ease of use
• Availability of libs

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

• Available software to install is not easy to find.
• You need admin rights to install all software.

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

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

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

On OSX machines we use brew which works if compared to Chocolatey, a lot better. You could see that on Windows machines the idea of a command line-based software installation tool is not very common, especially if you want to use tools like Python or other scripting languages.

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.

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

• Improved time to setup new machines
• Improved security due to easy update process of installed software

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