Building Jaeger’s ClickHouse backend: 8.6× compression on 10 million spans
As someone who’s been maintaining Jaeger, I’ve watched users request ClickHouse support consistently over the past few years. With Jaeger v2.18.0, we’ve finally delivered it. What excites me most isn’t just that ClickHouse is available—it’s that its architecture is...
The increasing scale and complexity of cloud-native systems demand more efficient and cost-effective data storage and analytical solutions, a problem ClickHouse is designed to address.
This development indicates a continued trend towards specialized, high-performance database solutions for managing observability data in distributed systems, offering significant operational benefits.
Cloud-native applications can now leverage ClickHouse for Jaeger's backend, potentially leading to better performance and reduced storage costs for trace data compared to previous options.
- · Cloud-native developers
- · Observability platforms
- · ClickHouse ecosystem
- · Organizations with large distributed systems
- · Traditional backend databases less optimized for large-scale telemetry
Jaeger users can now implement ClickHouse as a highly efficient backend for storing vast amounts of trace data.
The wider availability of performant, cost-effective data backends for observability could accelerate the adoption of advanced distributed tracing in complex cloud environments.
Improved observability efficiency might free up resources or enable new insights, indirectly supporting the development of more complex AI/ML systems through better infrastructure understanding.
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Read at Cloud Native Computing Foundation