Stop guessing in production: Full fidelity tracing at scale with ClickHouse and Odigos

Observability gaps in distributed systems often persist even when telemetry exists, because instrumentation is incomplete, trace context breaks across async boundaries, and data lacks actionable context. Combining ClickStack (a ClickHouse-native observability backend) with Odigos (a zero-code OpenTelemetry instrumentation platform using eBPF) addresses this. Odigos attaches to running workloads without code changes, capturing deep telemetry including Kafka message payloads, database queries, stack traces, HTTP headers, and custom business logic. It also manages the OTel collector pipeline automatically. ClickStack ingests this high-fidelity data at scale and makes it queryable via SQL in real time. The result is end-to-end distributed tracing with full context, deployable on Kubernetes via Helm, that eliminates guesswork during production incidents.