About the service
I set up end-to-end observability of your services on OpenTelemetry so you finally see what's really happening inside the system instead of guessing from scattered logs. I instrument applications with OpenTelemetry SDKs, connect automatic and manual instrumentation where it truly matters, and ensure distributed traces flow cleanly through every node. Context propagation is where most teams go wrong, and I make it work correctly across HTTP, gRPC, message queues, and async workers, so you can trace one request from the system edge to the exact database call that slowed it down.
Beyond tracing, I build metrics and structured logs on the same vendor-neutral pipeline. I deploy and configure OpenTelemetry Collector as a central hub, set up receivers, processors, and exporters, add batching, tail-based sampling, and resource attributes, keeping telemetry volume and cost under control. Since everything speaks OTLP you're not locked to one vendor: I export the same data to Jaeger, Prometheus, Grafana, or any commercial backend you already pay for, and swapping solutions later costs you a config change, not a rewrite.
You get a clean documented instrumentation layer, dashboards that answer real questions, and alerts tied to signals that predict incidents. I also hand over runbooks and a brief walkthrough so your team can evolve the setup without me. Typical work includes:
— SDK instrumentation for your languages and frameworks;
— Collector deployment, pipelines, and sampling strategy;
— Correct context propagation between services and queues;
— Export to your chosen backend with dashboards and alerts.
Beyond tracing, I build metrics and structured logs on the same vendor-neutral pipeline. I deploy and configure OpenTelemetry Collector as a central hub, set up receivers, processors, and exporters, add batching, tail-based sampling, and resource attributes, keeping telemetry volume and cost under control. Since everything speaks OTLP you're not locked to one vendor: I export the same data to Jaeger, Prometheus, Grafana, or any commercial backend you already pay for, and swapping solutions later costs you a config change, not a rewrite.
You get a clean documented instrumentation layer, dashboards that answer real questions, and alerts tied to signals that predict incidents. I also hand over runbooks and a brief walkthrough so your team can evolve the setup without me. Typical work includes:
— SDK instrumentation for your languages and frameworks;
— Collector deployment, pipelines, and sampling strategy;
— Correct context propagation between services and queues;
— Export to your chosen backend with dashboards and alerts.
