OpenTelemetry Observability Stack
Full-stack observability pipeline from OpenTelemetry instrumentation through to Grafana dashboards — built to demonstrate production-ready telemetry engineering for microservices and containerized workloads.
Observability Infrastructure Project
OTel · Prometheus · Loki · Jaeger · Grafana
Technology Stack
Key Components
OTel Collector Pipeline
OpenTelemetry Collector configured with multiple receivers (OTLP gRPC/HTTP, hostmetrics, filelog) and exporters routing telemetry to Prometheus, Loki, and Jaeger based on signal type.
Grafana Dashboards
Custom dashboards for infrastructure health, service latency percentiles (p50/p95/p99), error rates, and log correlation. Alert rules and silences managed via Alertmanager.
Distributed Tracing
End-to-end request tracing across containerized services with Jaeger backend. Spans, context propagation, and sampling configured for production-representative workloads.
Automated Incident Runbooks
Alertmanager routes firing alerts to notification channels. Companion Bash/Python runbooks automate common remediation steps (pod restarts, disk cleanup, log rotation).
About This Project
This project was built to deeply understand production observability engineering — the discipline that separates reliable platforms from fragile ones. The goal was not just to deploy monitoring tools, but to build a coherent, end-to-end telemetry pipeline: instrument → collect → store → alert → visualize.
The OpenTelemetry Collector acts as the central routing hub, accepting telemetry from any source and forwarding it to purpose-built backends (metrics to Prometheus, logs to Loki, traces to Jaeger). Grafana provides unified cross-signal correlation, essential for debugging complex incidents in distributed systems.
Designed with DevOps, SRE, and Platform Engineering roles in mind — this stack reflects the observability maturity expected at senior levels. Companion runbooks demonstrate how alerting can be operationalized beyond passive dashboards into automated remediation workflows.