telemere

Structured logging in Clojure captures rich, typed data as maps rather than formatted strings, enabling powerful filtering and analysis. Telemere provides a unified API for logging, tracing, and performance monitoring with compile-time signal elision and runtime filtering by level, namespace, ID, and sampling, integrating with OpenTelemetry, SLF4J, and tools.logging.

Yes. Telemere unifies logging, tracing, and performance monitoring into one consistent API, eliminating fragmented observability stacks. It supports synchronous and asynchronous handlers, structured telemetry capture, and interoperability with standard observability tools, reducing complexity across microservice architectures.

Intelligent filtering and compile-time signal elision optimize performance by removing unnecessary instrumentation before runtime. Telemere applies two-stage filtering—compile-time removal and runtime level/namespace/sampling-based filtering—to minimize overhead while preserving critical observability data for analysis.

Yes. Telemere interoperates with OpenTelemetry, SLF4J, and tools.logging, integrating into existing Clojure and ClojureScript observability stacks. This compatibility enables distributed tracing, structured event logging, and performance monitoring without replacing your current infrastructure.

Telemere automatically generates distributed traces for incoming requests by capturing structured events with a unified API. Map-based signals enable rich context propagation across service boundaries, providing a holistic view of system behavior and performance bottlenecks in microservice architectures.

Yes. Telemere supports both Clojure and ClojureScript, providing unified structured logging, tracing, and telemetry across your full stack. Compile-time signal elision and runtime filtering work in both languages, enabling consistent observability patterns.