Docker

Accelerate how you build, share, and run applications

5.0•32 reviews•

267 followers

Accelerate how you build, share, and run applications

5.0•32 reviews•

267 followers

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Engineering & Development

•

Cloud Computing Platforms

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

Free

Launch tags:Open Source•SaaS•Developer Tools

Launch Team

Synter MCP for Claude & Cursor — The most performant Ads MCP available to use with Your AI

The most performant Ads MCP available to use with Your AI

Promoted

Hunter

📌

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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1yr ago

5.0

Based on 32 reviews

Review Docker?

Makers consistently praise Docker for reliable, portable environments and smooth workflows across dev and prod. The makers of

Daytona

highlight sub-90ms startups and compatibility that power their agent-native infrastructure. The makers of

Dokploy

call it the heart of their deployments, crediting simplified container ops for faster iteration. The makers of

Sequoia

say it lets them move quickly without late-night infra firefights. Users echo this: setup is simpler, dependencies stay contained, and running complex stacks locally is easy—making trials and rollouts feel low-risk and repeatable.

+29

Summarized with AI

Pros

Cons

Reviews

All Reviews

Most Informative

5.0

Based on 32 reviews

Review Docker?

Makers consistently praise Docker for reliable, portable environments and smooth workflows across dev and prod. The makers of

Daytona

highlight sub-90ms startups and compatibility that power their agent-native infrastructure. The makers of

Dokploy

call it the heart of their deployments, crediting simplified container ops for faster iteration. The makers of

Sequoia

+29

Summarized with AI

Pros

containerization (6)

portable environments (4)

consistent environments (3)

development environments (2)

docker-compose support (2)

easy scalability (2)

Pros

Cons

Reviews

All Reviews

Most Informative

•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

Ratings

Ease of use

Reliability

Value for money

Customization

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5 views2mo 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 (3)portable environments (4)container ecosystem (1)

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11mo ago

used

Docker

to build UbiOps

•3 reviews

By establishing a community standard, Docker has solved the age-old "it worked on my laptop" problem. Its powerful containerization technology ensures that our application can run AI workloads consistently across all environments, from development to production. Thanks Docker!

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1 view1yr ago