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Sentry event forwarding and ingestion service.

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Sentry

Official Sentry Relay

CI GitHub Release PyPI

Relay

The Sentry Relay is a service that pushes some functionality from the Sentry SDKs as well as the Sentry server into a proxy process.

Documentation

License

Like Sentry, Relay is licensed under the FSL. See the LICENSE.md file and this blog post for more information.

Development

To build Relay, we require the latest stable Rust. The crate is split into a workspace with multiple features, so when running building or running tests always make sure to pass the --all and --all-features flags. The processing feature additionally requires a C compiler and CMake.

To install the development environment, librdkafka must be installed and on the path. On macOS, we require to install it with brew install librdkafka, as the installation script uses brew --prefix to determine the correct location.

We use VSCode for development. This repository contains settings files configuring code style, linters, and useful features. When opening the project for the first time, make sure to install the Recommended Extensions, as they will allow editor assist during coding.

The root of the repository contains a Makefile with useful commands for development:

  • make check: Runs code formatting checks and linters. This is useful before opening a pull request.
  • make test: Runs unit tests, integration tests and Python package tests (see below for more information).
  • make all: Runs all checks and tests. This runs most of the tasks that are also performed in CI.
  • make clean: Removes all build artifacts, the virtualenv and cached files.

For more available make targets, please, run make help.

Integration tests require Redis and Kafka running in their default configuration. The most convenient way to get all required services is via sentry devservices, which requires an up-to-date Sentry development environment.

Building and Running

The easiest way to rebuild and run Relay for development is using cargo. Depending on the configuration, you may need to have a local instance of Sentry running.

# Initialize Relay for the first time
cargo run --all-features -- config init

# Rebuild and run with all features
cargo run --all-features -- run

The standard build commands are also available as make targets. Note that release builds still generate debug information.

# Build without optimizations in debug mode.
make build

# Build with release optimizations and debug information.
make release

For quickly verifying that Relay compiles after making some changes, you can also use cargo check:

cargo check --all --all-features

Features

By default, Relay compiles without processing mode. This is the configuration used for Relays operating as proxys. There are two optional features:

  • processing: Enables event processing and ingestion functionality. This allows to enable processing in config. When enabled, Relay will produce events into a Kafka topic instead of forwarding to the configured upstream. Also, it will perform full event normalization, filtering, and rate limiting.

  • crash-handler: Allows native crash reporting for segfaults and out-of-memory situations when internal error reporting to Sentry is enabled.

To enable a feature, pass it to the cargo invocation. For example, to run tests across all workspace crates with the processing feature enabled, run:

cargo run --features=processing

Tests

The test suite comprises unit tests, an integration test suite and a separate test suite for the Python package. Unit tests are implemented as part of the Rust crates and can be run via:

# Tests for default features
make test-rust

# Run Rust tests for all features
make test-rust-all

The integration test suite requires python. By default, the integration test suite will create a virtualenv, build the Relay binary with processing enabled, and run a set of integration tests:

# Make sure that kafka and redis are running
sentry devservices up kafka redis

# Create a new virtualenv, build Relay and run integration tests
make test-integration

# Build and run a single test manually
make build
.venv/bin/pytest tests/integration -k <test_name>

Snapshot tests

We use insta for snapshot testing. It will run as part of the make test command to validate schema/protocol changes. To install the insta tool for reviewing snapshots run:

cargo install cargo-insta

After that you'll be able to review and automatically update snapshot files by running:

cargo insta review

Make sure to run the command if you've made any changes to the event schema/protocol. For more information see https://insta.rs/docs/.

Linting

We use rustfmt and clippy from the latest stable channel for code formatting and linting. To make sure that these tools are set up correctly and running with the right configuration, use the following make targets:

# Format the entire codebase
make format

# Run clippy on the entire codebase
make lint

Python and C-ABI

Potentially, new functionality also needs to be added to the Python package. This first requires to expose new functions in the C ABI. For this, refer to the Relay C-ABI readme.

We highly recommend to develop and test the python package in a virtual environment. Once the ABI has been updated and tested, ensure the virtualenv is active and install the package, which builds the native library. There are two ways to install this:

# Install the release build, recommended:
pip install --editable ./py

# Install the debug build, faster installation but much slower runtime:
RELAY_DEBUG=1 pip install --editable ./py

For testing, we use ubiquitous pytest. Again, ensure that your virtualenv is active and the latest version of the native library has been installed. Then, run:

# Create a new virtualenv, install the release build and run tests
make test-python

# Run a single test manually
.venv/bin/pytest py/tests -k <test_name>

Usage with Sentry

To develop Relay with an existing Sentry devserver, self-hosted Sentry installation, or Sentry SaaS, configure the upstream to the URL of the Sentry server in .relay/config.yml in the project root directory. For example, in local development set relay.upstream to http://localhost:8000/.

To test processing mode with a local development Sentry, use this configuration:

relay:
  # Point to your Sentry devserver URL:
  upstream: http://localhost:8000/
  # Listen to a port other than 3000:
  port: 3001
logging:
  # Enable full logging and backtraces:
  level: trace
  enable_backtraces: true
limits:
  # Speed up shutdown on ^C
  shutdown_timeout: 0
processing:
  # Enable processing mode with store normalization and post data to Kafka:
  enabled: true
  kafka_config:
    - { name: "bootstrap.servers", value: "127.0.0.1:9092" }
    - { name: "message.max.bytes", value: 2097176 }
  redis: "redis://127.0.0.1"

Note that the Sentry devserver also starts a Relay in processing mode on port 3000 with similar configuration. That Relay does not interfere with your development build. To ensure SDKs send to your development instance, update the port in the DSN:

http://<key>@localhost:3001/<id>

Release Management

We use GitHub actions to release new versions. There are two separate projects to publish:

Instructions for changelogs

For changes exposed to the Python package, add an entry to py/CHANGELOG.md. This includes, but is not limited to, event normalization, PII scrubbing, and the protocol. For changes to the Relay server, please add an entry to CHANGELOG.md under the following heading:

  1. Features: for new user-visible functionality.
  2. Bug Fixes: for user-visible bug fixes.
  3. Internal: for features and bug fixes in internal operation, especially processing mode.

To the changelog entry, please add a link to this PR (consider a more descriptive message):

- ${getCleanTitle()}. (${PR_LINK})

If none of the above apply, you can opt out by adding #skip-changelog to the PR description.

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