Alternatives
Products that do what Docker pulls more than it needs to - and how we can fix it does
Hi all! I've built a small tool to visualize how inefficient `docker pull` is, in preparation for standing up a new Docker registry + transport. It's bugged me for a while that updating one dependency with Docker drags along many other changes. It's a huge problem with Docker+robotics. With dozens or hundreds of dependencies, there's no "right" way to organize the layers that doesn't end up invalidating a bunch of layers on a single dependency update - and this is ignoring things like compiled code, embedded ML weights, etc. Even worse, many robotics deployments are on terrible internet,…
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Hi HN! I've posted this a few weeks back without much HN traction - today we've added a free community tier, so anyone can try it out. TL;DR: We’ve launched StableBuild, a new tool to easily freeze and pin Docker images, operating system packages, Python packages, and arbitrary build dependencies; in 5 lines of code: https://stablebuild.com . As the CTO at an ML startup w/ 75 people (https://edgeimpulse.com/) I’ve grown incredibly frustrated with non-deterministic builds. Last year basically every week one of our containers (we have 40+ unique ones in prod)…
2024 · stablebuild.com
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2014 · github.com
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2020 · github.com
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2016 · portainer.io
- 6DD
Hey y'all, I've been using docker compose a lot in my local network, and managing setup between machines is a bit of a pain in the ass for me. I wanted an easy way to share complex configurations. At the moment most docker compose package management is done by adding a docker-compose.yml to your repo, adding a bunch of setup instructions, and hoping they are well followed. This didn't feel like a smart way to go about it to me. I wanted to create a way to create a complex package, say a series of related or linked services, and provide some meaningful way to have users install it. That's why…
2020
- 7MI
2017 · marina.io
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2015 · resin.io
- 9GF
2021 · contains.dev
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Hi, I spent the last year and a half writing a book on Docker and microservices, which was finally released on O'Reilly this week. "Using Docker: Developing and Deploying Software with Containers" takes a holistic approach, showing how containers can be used as the central artifact in a modern software development workflow. If anyone has any q's or feedback, please feel free to comment below. The book is available at: http://shop.oreilly.com/product/0636920035671.do (use code AUTHD for a discount)…
2016
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2015 · github.com
- 12IM
Been using it for about a year now in production, but rewrote it completely in golang. My first go project so far. I wanted to have something that would make my life easier. A lot of tools nowaday kinda push you towards functional deployments and that usually doesn't work for me since I like stuff like LiveView by Phoenix and Websocket stuff in general. Old vercel deployments back when they allowed to deploy docker containers was a godsend, but since they don't offer that anymore I had to use services like fly.io(which is amazing) or heroku. However I wanted something selfhosted that I could…
2024 · deploywithjig.askh.at
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2016 · github.com
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2016 · medium.com
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2017 · medium.com
- 16DD
2015 · github.com
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2020 · github.com
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2016 · github.com
- 19SC
Hello guys, I am the co-founder of Shippable (www.shippable.com) - a container-based Continuous Integration service. We recently switched from LXC to Docker containers, so please try it out and give us feedback. We plan to launch on Jan 15th. Our UI is still in flux but any feedback is welcome! Shippable is integrated with GitHub and supports Ruby, Node.js, Python, Java, Scala on Ubuntu 12.04. Please try it out at www.shippable.com. Docs are at www.shippable.com/docs. You can reach with me any feedback or questions at [email protected] Thanks!!
2013
- 20SL
2022 · github.com
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2020 · packagr.app
- 22JC
2016 · codeship.com
- 23AA
2019 · apex.ai
- 24AD
I'd like to share a project I've been working on for the past few months. It's a distributed workflow engine written entirely in Go. Some highlights: * Tasks are executed in a Docker container * Can run stand-alone or distributed * Highly extensible * Able to enforce limits (CPU/RAM) per task * Web UI Would love the get your feedback on it, and find out if this could be useful.
2023 · github.com
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