enTelemetry

enTelemetry is a cross-platform telemetry framework designed to collect, process, and export telemetry data from software applications and connected devices. It supports the collection of metrics, traces, and logs and aims to provide a consistent instrumentation surface across languages. The project emphasizes modularity, privacy, and interoperability, offering software development kits and exporters for multiple ecosystems.

The architecture centers on a core data model and a configurable pipeline. Instrumentation feeds data into the pipeline, which applies optional sampling, masking, and enrichment, then routes the data to one or more exporters. A transport layer supports HTTP(S), gRPC, and local protocols, while exporters connect to backends such as OTLP collectors, Prometheus, Jaeger, Datadog, or custom systems.

Telemetry data includes spans for traces, metric records (counters, gauges, histograms), and log records. Context propagation follows standard trace contexts to enable correlation across services. enTelemetry provides auto-instrumentation for common frameworks and a manual API for bespoke instrumentation, along with compatibility with the OpenTelemetry protocol (OTLP) and adapters for multiple languages.

Security and privacy features include data sampling controls, data scrubbing and redaction, encryption in transit, and configuration options to comply with data retention and privacy requirements. The framework is designed to be opt-in and transparent about what data is collected. It supports role-based access and auditing in managed deployments.

enTelemetry is a community-driven, open-source project that integrates with cloud-based observability platforms and on-premise collectors. See also OpenTelemetry and standard telemetry concepts.