Docker

- Consistent environment ensures there are no more debugging setup issues across different platforms - Lightweight and efficient: Containers spin up quickly and use fewer resources than full virtual machines. - Cross platform reliability is a huge productivity boost. We can build once and run anywhere. - Great for CI/CD as it integrates smoothly with pipelines, making deployment more predictable.

I like their logo and the ui of their app

One of the major standouts thats I appreciate about Docker is it's seamless integration with my IDE of choice and it's rapid ability to create a container that contains all of the components my applications need to run in a local isolated environment. Furthermore, I really appreciate how lightweight and fast dockers container orchestration executes as it drastically reduces the time it takes me to destroy and build new containers each time I make a modification to the application I am working on. Lastly, I really appreciate the portability of Docker. Because I work across multiple OS on multiple device types, it's important to me to have a seamless experience regardless of the environment Im working in, and Docker does a great job of providing that seamless experience.

Setup and configuration can be tricky, especially on Windows where WSL2 and Docker Desktop compatibility can cause issues Resource management: containers can sometimes consume more memory or CPU than expected if not monitored Updates occasionally break things. Docker desktop or engine updates sometimes change behavior, requiring re-configuring Log management: If you have worked with Docker containers, you will know it is a whole setup you need to do to get the logs from the container out for debugging and tracking.

It constantly breaks, no matter which project it is being used for. Ask any developer, and the common solution is to completely reset docker and start over. That is not an actual solution but a bandaid to aid bad software.

While I don't have many reservations about using Docker, it does have a few general weaknesses that I have experienced. First, while Docker allows me to create an isolated container to test my applications, it is not a complete security solution and thus might require more careful configuration in order to prevent potential vulnerabilities. Also, When managing a larger number of containers, Docker becomes less efficient and orchestrating their creation might take a lot more time and configuration. Lastly, I think that while I noted the lightweight nature of the container creation capabilities, I have noticed that on Mac OS it has more limitations in relation to its performance than it does on Windows, and since I do a majority of my development on a Mac, it can be a potential issue for me in my role.