This issue proposes creating a comprehensive guide on integrating Deno with OpenTelemetry (OTel), covering various OTel features and data visualization techniques. This guide will help users effectively instrument their Deno applications for observability.

Motivation:

OpenTelemetry is becoming the standard for observability, providing a unified way to collect traces, metrics, and logs. A dedicated guide on integrating Deno with OTel will empower developers to gain deep insights into their application's performance and behavior.

Proposed Content:

The guide should cover the following aspects:

• Setting up OpenTelemetry with Deno:
  • Detailed instructions on installing and configuring the necessary OTel libraries for Deno.
  • Examples of instrumenting different parts of a Deno application, including HTTP servers, database interactions, and other asynchronous operations.
  • Configuration of different exporters (e.g., OTLP, Jaeger, Zipkin) to send telemetry data to various backends.
• Tracing:
  • Demonstrating how to create and manage spans within Deno applications to trace requests and operations.
  • Examples of adding attributes and events to spans for richer context.
  • Context propagation across asynchronous operations and between different services.
• Metrics:
  • Examples of creating and recording various metrics (e.g., counters, histograms, gauges) in Deno applications.
  • Configuration of metric views and aggregations.
• Logs (if supported by Deno OTel libraries):
  • If Deno OTel libraries support logging, provide examples of how to capture logs and associate them with traces and metrics.
• Data Visualization:
  • VS Code Integration: Showing how to visualize traces and metrics within VS Code using appropriate extensions (e.g., Jaeger extension, OpenTelemetry extension).
  • Backend Visualization: Demonstrating how to use backend tools like Jaeger, Zipkin, Grafana, or other observability platforms to visualize the collected telemetry data. Examples should include:
    • Visualizing traces as flame graphs, Gantt charts, or other relevant formats.
    • Visualizing metrics as time-series graphs, dashboards, and alerts.
  • Other Visualization Methods: Explore other potential visualization methods, such as using custom dashboards or integrating with other data visualization tools.
• Context Propagation: Detailed explanation and examples of how context propagation works in Deno with OTel, especially in asynchronous operations and distributed tracing scenarios.
• Sampling: Discuss different sampling strategies (e.g., trace ID ratio based, probabilistic sampling) and how to configure them in Deno OTel setup.