OpenTelemetry best practices: A user's guide to getting started with OpenTelemetry

OpenTelemetry is a framework that has gained traction in the observability community, and Grafana Labs is fully committed to integrating it within their open-source projects and products. The guide outlines best practices for implementing OpenTelemetry, such as starting with auto-instrumentation for ease and gradually adding manual instrumentation for more detailed insights. It emphasizes the importance of initializing OpenTelemetry correctly, generating meaningful attributes, and adhering to semantic conventions to ensure consistent data. The document also discusses strategic data correlation, batching, and sampling to optimize performance and cost-effectiveness. Grafana, a leading contributor to both Prometheus and OpenTelemetry, suggests leveraging span metrics for easy analysis and highlights the benefits of using the OpenTelemetry Collector for data management. The guide also encourages the use of Grafana Cloud for visualizing and correlating OpenTelemetry data, offering prebuilt dashboards and the potential for custom analytics through Grafana Machine Learning.

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