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#containers

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We have a new post up on the BRIC newsletter about how we're using tools like Docker Desktop to solve some problems specific to science: sharing your work with other researchers to replicate, and navigating getting the software running in the first place when each institution is different.

bric.digital/newsletter/contai

The BRIC Newsletter · Containerized ScienceAn introduction to how BRIC is using software containerization in the service of science.

While Docker brought containers to the mainstream, Linux developers had already been building and using container technologies for years. Tools like chroot date back to the early 80s, and LXC, combined with kernel features like namespaces and cgroups, provided a solid framework for process isolation. Docker’s genius was packaging it all up with a developer-friendly interface, but the underlying magic was always part of Linux’s DNA. Understanding this gives you a deeper appreciation for how robust and flexible the Linux kernel truly is.

Documentation in operating systems is cool. It is possible to extend and rewrite utilities as time goes on, as #freebsd proves. You can still have cool utilities, like #containers and #zfs and #hypervisors, good docs for them and a consistent base system.

I dunno where I am going with this, other than wishing I didn't have to peruse the Arch wiki and the Gentoo wiki for everything when I get stuck, and instead could just "man xyz" and get good answers, speaking as #nixos user.

🔍 Looking for #Linux #Containers for your CI/CD pipeline? #foundata built a collection of OCI images with

✅ functional systemd (not just a shim!)
✅ unprivileged execution support – perfect for tools like #Podman.

👉 Explore all Integration Test Target (ITT) container files on github.com/orgs/foundata/repos

💡 Also ideal for #Ansible #Molecule testing, see them in action with a collection: github.com/foundata/ansible-co

I'm developing an app that has a docker compose file. I just removed a db dependency and could go back to a single dockerfile vs a compose... then my requests became soooo slow!

Like, 10x-100x times slower!!!

Not sure why, but going back to a compose file made it faster again, even though it's a single container. This is with vscode dev container if anyone has any ideas why this might happen.