How ClickHouse's columnar storage architecture makes it the ideal backend for logs, metrics, and traces at scale — replacing Elasticsearch with a fraction of the resources.
Metrics
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ClickHouse for Observability: Logs, Metrics, and Traces at Scale -
Designing for Observability: Building Applications You Can Actually Debug A practical guide to designing applications that are easy to debug in production — structured logging with trace IDs, meaningful metrics, health endpoints, graceful degradation, and the patterns that separate systems you can reason about from ones you can only guess at.
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OpenTelemetry: One Instrumentation to Rule Them All A deep dive into OpenTelemetry: the data model for traces, metrics, and logs; auto-instrumentation for Go, Python, and Node.js; building a Collector pipeline; and exporting to Jaeger, Prometheus, and Loki.
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VictoriaMetrics: Prometheus at Scale How VictoriaMetrics handles Prometheus at scale — architecture deep dive, vminsert/vmselect/vmstorage clustering, MetricsQL extensions, remote_write migration, and achieving 10x better storage efficiency.
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OpenTelemetry in Practice: Instrumentation, the Collector, and Connecting to Your Observability Stack A hands-on guide to OpenTelemetry: auto-instrumentation and manual SDK usage across Python, Go, and Node.js; building a production Collector pipeline with processors and exporters; and wiring traces, metrics, and logs together in Grafana.
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The Prometheus + Grafana Stack: Metrics, Alerting, and Dashboards A deep technical guide to building production-grade observability with Prometheus and Grafana — covering metrics collection, PromQL queries, alerting rules, Alertmanager routing, and dashboard construction for homelabbers and DevOps engineers.