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e031dfdb4a
We have been using buffer pools for a while all over `connlib` as a way
to efficiently use heap-allocated memory. This PR harmonizes the usage
of buffer pools across the codebase by introducing a dedicated
`bufferpool` crate. This crate offers a convenient and easy-to-use API
for all the things we (currently) need from buffer pools. As a nice
bonus of having it all in one place, we can now also track metrics of
how many buffers we have currently allocated.
An example output from the local metrics exporter looks like this:
```
Name : system.buffer.count
Description : The number of buffers allocated in the pool.
Unit : {buffers}
Type : Sum
Sum DataPoints
Monotonic : false
Temporality : Cumulative
DataPoint #0
StartTime : 2025-04-29 12:41:25.278436
EndTime : 2025-04-29 12:42:25.278088
Value : 96
Attributes :
-> system.buffer.pool.name: udp-socket-v6
-> system.buffer.pool.buffer_size: 65535
DataPoint #1
StartTime : 2025-04-29 12:41:25.278436
EndTime : 2025-04-29 12:42:25.278088
Value : 7
Attributes :
-> system.buffer.pool.buffer_size: 131600
-> system.buffer.pool.name: gso-queue
DataPoint #2
StartTime : 2025-04-29 12:41:25.278436
EndTime : 2025-04-29 12:42:25.278088
Value : 128
Attributes :
-> system.buffer.pool.name: udp-socket-v4
-> system.buffer.pool.buffer_size: 65535
DataPoint #3
StartTime : 2025-04-29 12:41:25.278436
EndTime : 2025-04-29 12:42:25.278088
Value : 8
Attributes :
-> system.buffer.pool.buffer_size: 1336
-> system.buffer.pool.name: ip-packet
DataPoint #4
StartTime : 2025-04-29 12:41:25.278436
EndTime : 2025-04-29 12:42:25.278088
Value : 9
Attributes :
-> system.buffer.pool.buffer_size: 1336
-> system.buffer.pool.name: snownet
```
Resolves: #8385
Rust development guide
Firezone uses Rust for all data plane components. This directory contains the Linux and Windows clients, and low-level networking implementations related to STUN/TURN.
We target the last stable release of Rust using rust-toolchain.toml.
If you are using rustup, that is automatically handled for you.
Otherwise, ensure you have the latest stable version of Rust installed.
Reading Client logs
The Client logs are written as JSONL for machine-readability.
To make them more human-friendly, pipe them through jq like this:
cd path/to/logs # e.g. `$HOME/.cache/dev.firezone.client/data/logs` on Linux
cat *.log | jq -r '"\(.time) \(.severity) \(.message)"'
Resulting in, e.g.
2024-04-01T18:25:47.237661392Z INFO started log
2024-04-01T18:25:47.238193266Z INFO GIT_VERSION = 1.0.0-pre.11-35-gcc0d43531
2024-04-01T18:25:48.295243016Z INFO No token / actor_name on disk, starting in signed-out state
2024-04-01T18:25:48.295360641Z INFO null
Benchmarking on Linux
The recommended way for benchmarking any of the Rust components is Linux' perf utility.
For example, to attach to a running application, do:
- Ensure the binary you are profiling is compiled with the
releaseprofile. sudo perf record -g --freq 10000 --pid $(pgrep <your-binary>).- Run the speed test or whatever load-inducing task you want to measure.
sudo perf script > profile.perf- Open profiler.firefox.com and load
profile.perf
Instead of attaching to a process with --pid, you can also specify the path to executable directly.
That is useful if you want to capture perf data for a test or a micro-benchmark.