As someone who’s been maintaining Jaeger, I’ve watched users request ClickHouse support consistently over the past few years. With Jaeger The post How Jaeger hit 8.6× compression on 10 million spans with ClickHouse appeared first on The New Stack .
The continuous growth of cloud-native ecosystems and the increasing volume of telemetry data necessitate more efficient storage and analysis solutions, making advancements in database integration for observability tools critical.
This development allows for significantly more efficient long-term storage and analysis of distributed tracing data, reducing infrastructure costs and improving the performance of observability platforms.
The ability of distributed tracing tools like Jaeger to integrate with high-performance analytical databases fundamentally changes how organizations can manage and derive insights from vast amounts of operational data.
- · Cloud Native Ecosystem
- · Observability software providers
- · Organizations with complex microservices architectures
- · ClickHouse
Jaeger users can store significantly more tracing data for longer periods at reduced cost due to improved compression.
Enhanced observability capabilities lead to faster debugging and resolution of production issues in complex distributed systems.
The reduced cost of data retention could encourage more widespread adoption of advanced observability practices across industries, further accelerating the growth of cloud-native infrastructure.
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Read at The New Stack