Building an Observability Solution with ClickHouse - Part 1 - Logs
Blog post from ClickHouse
The text discusses the use of ClickHouse as a high-performance OLAP database for storing Observability data, specifically logs, metrics, and traces. The authors explore how to collect, store, query, and visualize these logs using various agents such as Open Telemetry Collector, Vector, Fluent Bit, and Fluentd. They provide examples of each agent's configuration and schema design, highlighting the importance of choosing the right stack for interoperability and performance. The text also touches on topics like compression, query optimization, and visualization tools, recommending Grafana for visualizing log data using the official ClickHouse plugin. Overall, the post provides a comprehensive guide to storing and querying logs in ClickHouse, with a focus on scalability, performance, and ease of use.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 44 | 1,439 | 153 | 68 | +25% |
| OpenTelemetry | 34 | 210 | 30 | 16 | -18% |
| Observability | 8 | 1,235 | 206 | 69 | +57% |
| Data Pipeline | 1 | 481 | 104 | 43 | -32% |
| Real-time | 1 | 1,808 | 407 | 154 | +39% |
| Vector Search | 1 | 319 | 78 | 41 | +5% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.