Transforming traces into metrics with OpenTelemetry

Distributed tracing offers detailed insights into the operations of a system's infrastructure by tracking requests and transactions, but its high cost and extensive data storage requirements pose challenges for long-term monitoring. The text explores transforming trace data into more sustainable, insightful metrics using OpenTelemetry, emphasizing the cost-effectiveness and efficiency of metrics for ongoing system performance analysis. Metrics, unlike traces, can provide aggregated views of system health, facilitate capacity planning, and enable effective alerting systems. OpenTelemetry's span metrics connector is highlighted as a tool for converting traces into metrics, which simplifies configuration and enhances data management. The span metrics connector replaces the older span metrics processor by improving naming conventions, supporting exponential histograms, and generating more metrics, thus aligning better with OpenTelemetry's standards. Sampling methods, such as head-based and tail-based sampling, are discussed for optimizing the accuracy and cost-efficiency of collected metrics. This approach to bridging tracing and metrics is presented as a means to enhance observability, reduce costs, and improve system reliability, ultimately leading to better service quality and customer satisfaction.