SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool

A high-performance observability data pipeline.

🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale - Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces, RUM, Error tracking, Session replay).

Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.

Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.

Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by Clickhouse and OpenTelemetry.

Fancy stream processing made operationally mundane

Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows

Open-source, cloud-native, unified observability database for metrics, logs and traces, supporting SQL/PromQL/Streaming. Available on GreptimeCloud.

⎈ Multi pod and container log tailing for Kubernetes -- Friendly fork of https://github.com/wercker/stern

Fast and beautiful Log Viewer for Laravel

extract internal monitoring data from application logs for collection in a timeseries database

Open source APM: OpenTelemetry traces, metrics, and logs

Distributed tracing without code changes. 🚀 Instantly monitor any application using OpenTelemetry and eBPF

Rapidly Search and Hunt through Windows Forensic Artefacts

Real-time HTTP Intrusion Detection

Really fast log explorer based on glogg project

Hayabusa (隼) is a sigma-based threat hunting and fast forensics timeline generator for Windows event logs.

Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]