otlp

Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.

The OpenTelemetry .NET Client

Gonzo! The Go based TUI log analysis tool

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.

🤖 A tool to generate synthetic OpenTelemetry logs, metrics and traces using OTLP (gRPC and HTTP)

🚦 OpenTelemetry functions for shells

Microservice written in Java that shows how to instrument applications using OpenTelemetry, to produce telemetry data for traces and metrics. Also how to switch the observability backend without code changes.

OpenTelemetry and logs, metrics, traces, profiles analytics, united by mishmash io.

Pragmatic and minimalistic module for collecting and sending traces from Go code 💪🏽

Tool written in GO for reading and exporting metrics from Sofar LSW-3 inverters with SN 23XXXXXXX

otlp, telemetry, metrics, logs, traces

A standalone runner for the .NET Aspire Dashboard

Comprehensive OpenTelemetry demo with .NET 9, Serilog, and .NET Aspire showcasing OTLP configuration

A mock project that makes use of OpenTelemetry Collector, OTLP Exporter, and Receiver. It explains everything about collecting Telemetry data and exporting them to different backends.

A logr implementation backed by OTLP

A (C# with NDjango.RestFramework), B (Django), and C (React-Admin) applications. Use them to test integrations, observability, and more!

Kubernetes operator for multi-cluster metrics collection and analysis

java consul demo

Opentelemetry Infinity provide otel-collector-contrib instances through a simple REST API using a policy mechanism. Each policy spin up a new otelcol-contrib process running the configuration provided by the policy.

WatchData is a lightweight, open-source observability application built to help developers monitor, debug, and explore their system. It collects and displays logs 📜, metrics 📈, and traces 🔍— making observability simple, and accessible for developers.