Docker

Accelerate how you build, share, and run applications

5.0•33 reviews•

318 followers

Accelerate how you build, share, and run applications

5.0•33 reviews•

318 followers

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Engineering & Development

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Cloud Computing Platforms

Build, share, run, and verify applications anywhere without tedious environment configuration or management.

Docker Reviews

The community submitted 33 reviews to tell us what they like about Docker, what Docker can do better, and more.

5.0

Based on 33 reviews

Review Docker?

Reviewers see Docker as a dependable way to make software run the same in development and production, cutting down on “works on my machine” problems and letting teams isolate services with different dependencies. They also like using it to safely try software without installing it directly on their machines. The main complaints are practical: image size can grow too easily without clear warnings, build cache behavior can be opaque and costly when small changes invalidate layers, and mounted-volume performance on macOS still feels slow on larger projects.

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Pros

containerization (7)

consistent environments (4)

portable environments (4)

development environments (2)

docker-compose support (2)

easy scalability (2)

Pros

Cons

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•14 reviews

What's great

containerization (7)consistent environments (4)

Every service behind Arteza starts from a Dockerfile, and the reason I keep writing them is that the thing that ran on my laptop is the thing Railway ran in prod. For a two person team that deletes an entire category of bug where the only fix anyone can offer is it works locally. The generation workers and the API have completely different Python and system deps and neither one has ever broken the other.

What needs improvement

Image size is a discipline nobody enforces for you. Our first worker image was well over a gigabyte because I copied a Dockerfile off a blog post, and nothing in the build output suggested that was unusual. The layer cache is the other one, since reordering two lines can turn a 20 second build into a four minute one, and on a cache miss I want it to tell me which layer invalidated and what changed rather than leaving me to diff it myself.

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4 views2mo ago

•1 review

What's great

I use Docker as my primary tool for environment isolation. It’s a solid solution for the "works on my machine" issue caused by different dependency versions across dev environments and production. The deployment process has become much more predictable: you define the Dockerfile once, build the image, and it behaves exactly the same everywhere. It’s an industry standard that simply gets the job of containerization done, saving a lot of hassle with host system configurations

What needs improvement

File system performance when mounting volumes on macOS still leaves much to be desired. Despite all the updates, you can still feel the latency on larger projects

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Ease of use

Reliability

Value for money

Customization

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24 views11mo ago

•2 reviews

I love the product! I can run some platforms with hard-install them in my physical computer. That's cool! I can try out which AI platform is suitable for me!

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3 views3yr ago