Getting Started with Sentry: Chinese Developer Guide and Extension Handbook
This guide introduces Sentry's open‑source error and performance monitoring platform, outlines how to set up and extend the service, and details its event‑processing architecture, including Relay, Redis caching, Symbolicator, and alert handling via Celery and Kafka.
Overview
Sentry is an open‑source platform that provides error monitoring, performance monitoring, and metric analysis for more than 30 programming languages. It integrates with tools such as GitHub, Slack and Jira.
Reference Resources
Before modifying Sentry, consult the generic documentation and the following resources:
Commit message guidelines – https://sentry-dev.hacker-linner.com/commit-messages/
Code review process – https://sentry-dev.hacker-linner.com/code-review/
Environment configuration – https://sentry-dev.hacker-linner.com/environment/
Workflow description – https://sentry-dev.hacker-linner.com/workflow/
Python dependency management – https://sentry-dev.hacker-linner.com/python-dependencies/
Translation workflow – https://sentry-dev.hacker-linner.com/translations/
Documentation guide – https://sentry-dev.hacker-linner.com/docs/
Sentry Dockerfile (system dependencies and server configuration) – https://github.com/getsentry/sentry/blob/master/docker/Dockerfile
Event Pipeline Architecture
The simplified flow of an event through Sentry consists of the following steps: Relay retrieves project configuration from sentry-web. Relay caches the configuration in memory using Redis. Relay calculates event data and tracks quota, also stored in Redis. Symbolicator provides the helper service symbolicate-event for symbolication.
Alert triggering is performed by postprocess-event, which launches a Celery task. The task reads from the Kafka consumer on the eventstream queue.
Additional Documentation
Relay event path – https://getsentry.github.io/relay/relay_server/index.html#path-of-an-event-through-relay
Event ingestion graph – https://getsentry.github.io/event-ingestion-graph/
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