Docker

Turso is a distributed SQLite service built on libSQL , an MIT-licensed fork of SQLite. It adds embedded replicas: local SQLite files that sync from a primary database in the cloud. Reads happen at local-disk speed, under 200 nanoseconds in benchmarks. Writes go to one primary region. You get sub-millisecond reads and read-your-writes consistency for less than a managed Postgres bill. You install the client SDK, point it at a Turso URL and a local file path, and your app reads from a replica that stays in sync on its own.

Want to test a build on Ubuntu 24.04 while running Arch? Want CUDA 12.x on a stable Debian host without touching the host drivers? Want six Node.js versions that don’t fight each other? Distrobox is the shortest path there. It’s a POSIX shell wrapper around Podman , Docker , or Lilipod . The containers feel like native shells, and they run just as smoothly inside a terminal built for instant redraws as on a plain console. Your home directory, Wayland socket, GPU, SSH keys, Git config, and audio all wire in for you. GUI apps you install inside show up in the host menu.

uv workspaces give Python a Cargo-style monorepo setup. You get one lockfile, one virtual environment, and auto-resolved inter-package dependencies. Cold installs finish in seconds, not minutes. Pair uv with Ruff for linting and formatting, and the pair replaces Poetry, Black, isort, flake8, and pip-tools in one shot. The rest of this post covers workspace setup, inter-package deps, Ruff config, CI, publishing, and the traps that snag teams moving off older tools.

Pick Komodo for Git-driven deploys across many Docker servers from one screen. Choose Portainer if you run Kubernetes, which Komodo does not support. Pick Dockge for a single lightweight host. Komodo added a dedicated Docker Swarm resource in 2026, closing what used to be the single most-cited reason people held off, a complaint that once drew 168 votes on Reddit.

What is Komodo and what problem does it solve?

Komodo is an open-source tool that builds and deploys Docker software across many servers from one place. It is licensed under GPL-3.0 and written in Rust and TypeScript. The project lives at moghtech/komodo and was renamed from “Monitor” before the rebrand.

The Orange Pi 5 Plus is the better self-hosting board for Docker-heavy workloads thanks to its 8-core RK3588 CPU, up to 32GB RAM, and dual NVMe M.2 slots. The Raspberry Pi 5 wins for beginners and single-service setups with its superior software ecosystem and community support. Both boards draw under 18W, run Docker containers on ARM64 without issues, and can be purchased for under $200 in their mid-range configurations. The right pick depends on how many services you plan to run and whether hardware expandability or software polish matters more to you.

Dagger lets you write CI/CD pipelines in Go, Python, or TypeScript instead of YAML. Your pipelines run inside containers, execute identically on your laptop and in CI, and get type-checked by your compiler or linter before they ever touch a remote runner. If you’ve spent hours pushing commits just to debug a GitHub Actions workflow, Dagger is the fix.

The core idea: pipeline steps are function calls in a real programming language. Each function call builds a directed acyclic graph (DAG) of container operations. The Dagger Engine (built on BuildKit ) executes this graph with automatic parallelization and layer caching. You run dagger call ci --source . locally, get the same result in GitHub Actions, GitLab CI, or CircleCI, and never write vendor-specific YAML again.