This webinar covers building a custom OpenTelemetry metrics collector in Python using Rivian vehicle telemetry data. It's designed for engineers and observability teams wanting to understand OTEL beyond the basics — with hands-on, real-world implementation details.
What You'll Learn
- OpenTelemetry SDK Fundamentals in Python: How the OTEL Python SDK generates, processes, and exports metrics — including MeterProvider, Metric Readers, and Exporters
- Working with OTLP Metrics: Using the OTLP Metric Exporter and configuring periodic metric export intervals
- Metric Instrument Selection: When to use Counters, Histograms, and Gauges — and why Gauges are ideal for sampled telemetry data
- Integrating External APIs into OTEL Pipelines: Pulling live and historical vehicle data from the Rivian API, handling authentication, sessions, and rate-limit considerations
- Design Considerations for Real-World Collectors: Patterns and tradeoffs for production-grade telemetry pipelines
Who Should Watch
- DevOps and Platform Engineers
- Site Reliability Engineers (SREs)
- Observability and Telemetry Architects
- Developers working with OpenTelemetry
- Anyone exploring custom metrics pipelines
Basic familiarity with Python and observability concepts is helpful but not required.
