ClickHouse for Observability
High-Performance Observability Storage
Use ClickHouse as a high-performance backend for observability data. Schema design, materialized views, and integration with the Grafana ecosystem.
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What You'll Achieve
ClickHouse Architecture
Schema Design
SQL for Observability
Grafana Integration
Who This Track Is For
Designed for professionals ready to level up their observability expertise
Teams with high-volume observability data
Organizations looking to reduce storage costs
Engineers familiar with SQL wanting faster queries
Platform teams evaluating ClickHouse for o11y
Prerequisites
What You'll Learn
A structured progression through key topics, with hands-on labs at every step
- ClickHouse architecture overview
- MergeTree engine family
- Schema design for metrics
- Schema design for logs
- SQL queries for observability
- Materialized views for aggregation
- Time-series patterns in SQL
- Performance optimization
- OpenTelemetry to ClickHouse integration
- Grafana ClickHouse plugin
- Dashboard migration strategies
- Cost comparison analysis
What You'll Be Able To Do
Practical skills you can apply immediately in your work
ClickHouse Architecture
Understand MergeTree engines, sharding, and replication for observability workloads
Schema Design
Design efficient schemas for metrics, logs, and traces with proper partitioning
SQL for Observability
Write performant SQL queries for dashboards and alerting
Grafana Integration
Use ClickHouse as a Grafana datasource with the official plugin
Explore Other Tracks
Continue your observability journey with complementary training
Observability Foundations
Your Entry Point to Modern Observability
Master the three pillars of observability (metrics, logs, traces) with hands-on OpenTelemetry instrumentation. Build production-ready dashboards and understand how signals correlate.
Grafana Stack Deep Dive
Master the Complete LGTM Stack
Go beyond basics with advanced PromQL, LogQL, and TraceQL. Learn production patterns for recording rules, alerting, cost optimization, and scaling the Grafana stack.
SLOs & Incident Response
From SLIs to Postmortems
Define meaningful SLOs, implement error budgets, and build systematic incident response workflows. Includes hands-on simulated incidents with real troubleshooting.