Instrument Rust applications to export traces, metrics, and logs to Maple.
npx skills add https://github.com/Makisuo/maple --skill maple-rust-style
Please help me install this Agent Skill. Skill: maple-rust-style Source: https://github.com/Makisuo/maple/tree/main/skills/maple-rust-style Command: npx skills add https://github.com/Makisuo/maple --skill maple-rust-style
Provides a Rust-based OpenTelemetry integration for Maple, enabling seamless collection and export of traces, metrics, and logs from Rust services to Maple's ingest endpoint.
Configure your Rust project to initialize OpenTelemetry with Maple's endpoint and ingest key, then run your service to begin exporting traces, metrics, and logs.
High-intent search queries and answers about installing and using this skill.
You export Rust telemetry by instrumenting your application with the opentelemetry and opentelemetry-otlp crates. This configures your Rust services to emit traces, metrics, and logs directly to Maple's ingest endpoint using OTLP.
Configuring OpenTelemetry in Rust requires setting up Maple's inline ingest endpoint and ingest key. You also define resource attributes to provide deployment context, such as the service name, environment, and repository for your microservices or batch workers.
Yes, you can instrument Rust batch workers and background jobs using the opentelemetry-otlp crate. This setup enables centralized observability by exporting traces, metrics, and logs from these asynchronous services to Maple's backend.
Rust OpenTelemetry integration supports adding deployment context through resource attributes. You wire the service name, environment, and repository context into the configuration to properly attribute the exported telemetry data within Maple.
The best way to bootstrap observability in a Rust microservice is initializing OpenTelemetry with Maple's endpoint and ingest key. This quickly wires your service's telemetry export pipeline for traces, metrics, and logs.
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