Docker

Accelerate how you build, share, and run applications

5.0•33 reviews•

311 followers

Accelerate how you build, share, and run applications

5.0•33 reviews•

311 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.

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Launch tags:Open Source•SaaS•Developer Tools

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Welcome, Product Hunt community! 🎉 We are thrilled to introduce ReVCS. Whether you're a seasoned developer or just starting out, our platform will never disappoint you. We can't wait to hear your thoughts and feedback. Let's build something amazing together! 🚀 Feel free to ask any questions or share your experiences — we are here and excited to connect with you all. Happy coding! 💻

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2yr ago

5.0

Based on 33 reviews

Review Docker?

Reviewers mostly praise Docker for making environments consistent from laptop to production, cutting down “works on my machine” problems and keeping services with very different dependencies from interfering with each other. They describe deployment as more predictable once a Dockerfile is set up, and useful for safely trying software without hard-installing it on a machine. The main complaints are practical, not conceptual: image sizes can quietly bloat, build cache behavior can be fragile and opaque, and mounted-volume performance on macOS still feels slow on larger projects.

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5.0

Based on 33 reviews

Review Docker?

+30

Summarized with AI

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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Most Informative

•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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3 views1mo 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

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23 views10mo ago

used Docker to build Daytona

•11 reviews

Docker enables us to provide consistent, portable environments while our optimized runtime layer delivers the sub-90ms startup times that make Daytona Cloud unique. Their container ecosystem gave us the flexibility to build our agent-native infrastructure while maintaining compatibility with existing workflows.

What's great

consistent environments (4)portable environments (4)container ecosystem (1)

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16 views1yr ago

•14 reviews

What's great

containerization (7)consistent environments (4)

What needs improvement

Ratings

Ease of use

Reliability

Value for money

Customization

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3 views1mo ago

•1 review

What's great

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

Ratings

Ease of use

Reliability

Value for money

Customization

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23 views10mo ago

used Docker to build Daytona

•11 reviews

What's great

consistent environments (4)portable environments (4)container ecosystem (1)

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16 views1yr ago