Bioyino
The StatsD server written in Rust
Description
Bioyino is a distributed statsd-protocol server with carbon backend.
Features
- all basic metric types supported (gauge, counter, diff-counter, timer), new types are easy to be added
- fault tolerant: metrics are replicated to all nodes in the cluster
- clustering: all nodes gather and replicate metrics, but only leader sends metrics to backend
- precise: 64-bit floats, full metric set is stored in memory (for metric types that require post-processing), no approximation algorithms involved
- standalone: can work without external services
- safety and security: written in memory-safe language
- networking tries to do it's best to avoid dropping UDP packets as much as possible
- networking is asynchronous
- small memory footprint and low CPU consumption
Status
Currently works in production at Avito, processing production-grade metric stream (~4M metrics per second on 3 nodes)
Installing
One of Bioyino's most powerful features - multimessage mode - require it to be working on GNU/Linux.
- Install capnp compiler tool to generate schemas. It's usually downloaded using your distribution's package manager.
- Do the usual Rust-program build-install cycle. Please note, that building is always tested on latest stable version of Rust. Rust 2018 edition is required.
$ git clone
$ cargo build --release && strip target/release/bioyno
Build RPM package (for systemd-based distro)
- Install requirements (as root or with sudo)
yum install -y capnproto capnproto-devel
yum install -y ruby-devel
gem install fpm
- Build
bash contrib/fpm/create_package_rpm.sh
Build DEB package (for systemd-based distro)
- Install requirements (as root or with sudo)
apt-get install -y capnproto libcapnp-dev
apt-get install -y ruby-dev
gem install fpm
- Build
bash contrib/fpm/create_package_deb.sh
Configuring
To configure, please, see config.toml, all the options are listed there and all of them are commented.
Contributing
You can help project by doing the following:
- find TODOs/FIXMEs and unwraps in the code fix them and create a PR
- solve issues
- create issues to request new features
- add new features, like new metric types
- test the server on your environment and creating new issues if/when bugs found