hyperdxio/hyperdx
HyperDX is an open source observability platform powered by Clickhouse and OpenTelemetry that centralizes and correlates logs, metrics, traces, errors, and session replays to help engineers quickly resolve production issues.
Awesome ClickHouse › Metrics and Monitoring
jaegertracing/jaeger-clickhouse
Jaeger ClickHouse is an experimental storage plugin implementation designed to integrate Jaeger, a popular distributed tracing system, with ClickHouse, an analytical column-oriented database management system. This plugin enables the storage of trace data collected by Jaeger into ClickHouse, leveraging ClickHouse's high-performance capabilities for analyzing streams of events, which are similar to Jaeger spans. The project is community-driven and welcomes contributions, issues, and feature requests. The plugin implements the gRPC storage plugin API, although it is noted that this API has been deprecated in Jaeger. Jaeger spans are stored in two main tables within ClickHouse: one table holds the entire span encoded in either JSON or Protobuf format, while the other stores key span information optimized for search operations, indexed by span duration and tags. Additionally, operation information is maintained in a materialized view. The system supports native replication and distribution of data across local and global tables, with span data buffered and flushed to the database based on configurable timer intervals or batch sizes. The project provides detailed documentation, including configuration options, Kubernetes deployment guides, sharding and replication strategies, and multi-tenancy support. Users can quickly start using the plugin with provided Docker examples or by configuring a custom ClickHouse database. The plugin's database schema is visually documented, and the project credits its origins to a previous ClickHouse plugin implementation. Overall, Jaeger ClickHouse aims to combine Jaeger's tracing capabilities with ClickHouse's analytical power to offer an efficient and scalable solution for trace data storage and querying, making it suitable for performance monitoring and observability in distributed systems.
https://github.com/jaegertracing/jaeger-clickhouse
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