centraldogma
config
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centraldogma | config | |
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0 | 32 | |
576 | 6,082 | |
1.4% | 0.4% | |
8.3 | 4.5 | |
3 days ago | 5 months ago | |
Java | Java | |
Apache License 2.0 | Apache License 2.0 |
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centraldogma
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config
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XML is better than YAML
I don‘t understand why HOCON (https://github.com/lightbend/config/blob/main/HOCON.md) isn‘t used more often (at least for configuration use cases). It‘s a superset of JSON, has comments, multiline strings, optional quotes, replacement syntax. We use it at many places, and it‘s as nice at it can get.
This is one of the few HN discussions where I feel a little bit qualified to give an opinion :)
Two years ago I started a small data quality checker software where users could define their alerts, frequencies,.. all in config files instead of modifying code.
I started with JSON as config format, but then realised comments are necessary to guide users in defining alerts. I moved to YAML, but after some "indentation incodents" started using HOCON conf [0] and never looked back. I don't see any reason for choosing YAML over one of JSON or HOCON, except being forced to. Features such as inheritance and text block support which were essential for me are nicely supported in HOCON.
- Toml-bench – Which toml package to use in Python?
- slf4j or System.Logger?
- TOML: Tom's Obvious Minimal Language
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Ron: Rusty Object Notation
HOCON is a great human-readable alternative to JSON. It's a superset of JSON with lots of cool features that make it both more readable and easier to use.
Here's a rundown of HOCON's main features: https://github.com/lightbend/config#features-of-hocon
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Spring and scala
For reading configuration files, I would probably use this: https://github.com/lightbend/config instead of Spring.
"Typesafe Config" is the library generally used to read configuration files in HOCON format, which this library introduced. It's commonly used in essentially OOP/imperative Scala contexts, including Akka and its ecosystem.
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Make systemd better for Podman with Quadlet
Interesting!
For my own servers I use an internal tool that integrates apps with systemd. You point it at the output of your build system and a config file, and it produces a deb that contains systemd unit files and which registers/starts the server on install/reboot/upgrade, as a regular debian package would. Then it uploads it to the server via sftp and installs it using apt, so dependencies are resolved. As part of the build process it can download and bundle language runtimes (I use it with a JVM), it scans native binaries to find packages that the app should depend on, and you can define your config including package metadata like dependencies and systemd units using the HOCON language [1].
Upshot is you can go from a Gradle or Maven build to a running server with a few lines of config. Oh and it can build debs from any OS, so you can push from macOS and Windows too. If your server needs to depend on e.g. Postgres, you just add that dependency in your config and it'll be up and running after the push.
It also has features to turn on DynamicUser and other sandboxing features. I think I'll experiment with socket activation next, and then bundled BorgBackup.
Net/net it's pretty nice. I haven't tried with containers because many language ecosystems don't seem to really need them for many use cases. If your build tool knows how to download your language runtime and bundle it sans container by just setting up paths correctly, then going without means you can rely on your Linux distribution to keep things up to date with security patches in the background, it means networking works as you'd expect (no accidentally opened firewall ports!) and so on. SystemD knows how to configure resource isolation/cgroups and kernel sandboxing, so if you need those you can just write that into your build config and it's done. Or not, as you wish.
With a deployment tool to automate builds/pushes, systemd to supervise processes and a big beefy dedicated machine to let you scale up, I wonder how much value the container part is really still providing if you don't need the full functionality of Kubernetes.
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Introducing JXC: An extensible, expressive data language. It's a drop-in replacement for JSON and supports type annotations, numeric suffixes, base64 strings, and more!
Other similar standards: TOML, HOCON
What are some alternatives?
cfg4j - Modern configuration library for distributed apps written in Java.
owner - Get rid of the boilerplate code in properties based configuration.
dotenv - Loads environment variables from .env for nodejs projects.
dotenv - A twelve-factor configuration (12factor.net/config) library for Java 8+
Configur8 - Nano-library which provides the ability to define typesafe (!) configuration templates for applications.
json5 - JSON5 — JSON for Humans
gura - Gura configuration language
archaius - Library for configuration management API