Observability
Showing 36 of 306 projects
A curated list of awesome projects, tutorials, and resources related to eBPF (extended Berkeley Packet Filter).
A distributed time series database, query engine, and metrics platform with Prometheus and Graphite compatibility.
A vendor-neutral metrics facade for Java applications, providing dimensional metrics instrumentation across popular monitoring backends.
A Git-native, enterprise-ready feature management platform that stores flags in your repositories and deploys with your code.
A production-ready structured logging library for Python that is simple, powerful, and fast.
A pure-Rust eBPF library focused on developer experience, operability, and compile-once-run-everywhere capabilities.
A monitoring dashboard system for infrastructure and application performance, originally developed by Stack Exchange.
A monitoring dashboard system for infrastructure, SQL Server, Elasticsearch, Redis, and HAProxy from Stack Exchange.
A comprehensive collection of health check packages and a UI dashboard for monitoring ASP.NET Core application dependencies and infrastructure.
Cross-language specifications for OpenTelemetry implementations, defining requirements for observability data collection.
A fully distributed networking and security observability platform for Kubernetes, built on Cilium and eBPF.
A robust, database-backed job processing library for Elixir with PostgreSQL, MySQL, and SQLite3 support.
eBPF-based Linux kernel networking debugger for tracing and filtering network packets with fine-grained introspection.
A Prometheus exporter that collects and exposes PostgreSQL server metrics for monitoring.
A collector that captures JMX MBean values and exposes them as Prometheus metrics.
LinDB is a scalable, high-performance, distributed time series database written in Go.
A Kubernetes operator that provides unified APIs to manage multiple database and streaming systems like MySQL, PostgreSQL, Redis, and Kafka.
A Clojure library suite for building secure, extensible, and asynchronous server-side applications.
A cloud-native microservice framework for Go with built-in resilience, observability, and traffic management features.
A feature-rich alert dashboard for Prometheus Alertmanager, designed for visualizing and managing alerts across multiple instances.
An extensible framework to audit executing operations in .NET and .NET Core, generating detailed audit logs with evidence for reconstruction.
A lightweight logging facade library for Rust that provides a unified API while allowing flexible backend implementations.
An open-source platform for AI engineering with OpenTelemetry-native LLM observability, GPU monitoring, guardrails, evaluations, and prompt management.
Prometheus exporter that collects and exposes MySQL and MariaDB server metrics for monitoring.
The Java implementation of the OpenTelemetry API and SDK for recording and managing application telemetry.
A standalone, lightweight health and status checking tool written in Go, supporting probes, notifications, and SLA reporting.
A Java instrumentation library for exposing application metrics to Prometheus monitoring systems.
An open-source, cross-platform .NET library for recording and reporting application metrics with support for multiple backends.
A single C++ binary SQL engine for high-performance stream processing, analytics, observability, and AI/ML pipelines.
The official Python SDK for Sentry.io, enabling error tracking and performance monitoring for Python applications.
A .NET framework for building async microservices with message-based communication, supporting multiple cloud providers and on-premises deployment.
A transparent, high-performance proxy written in Rust for the Linkerd service mesh, handling HTTP, HTTP/2, TCP, and WebSocket traffic.
Exposes SNMP data from network devices in a Prometheus-compatible format for monitoring.
An open-source control plane for building and scaling AI agents as production-ready backend services with identity, observability, and governance.
A .NET library for instrumenting applications with Prometheus metrics, including built-in integrations for ASP.NET Core.
A secure low-code honeypot framework that uses AI to create high-interaction decoy systems for cyber attack detection and analysis.
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