Vector
High-performance observability data pipeline for collecting, transforming, and routing logs and metrics.
Overview
A high-performance observability data pipeline. A lightweight, ultra-fast tool for building observability pipelines Quickstart • Docs • Guides • Integrations • Chat • Download • Rust Crate Docs The project has 21K+ GitHub stars and is licensed under MPL-2.0.
Key Features
Source: GitHub README
- End-to-end
- Aggregator
- Unified
- Metrics
- Traces
- Open
- Open-source
Normalized Features
Source: tool-features-normalized.json
clickhouse, elasticsearch, kubernetes, metrics.
Deploy
Features
Analytics & Reporting
- Metrics & KPIs
Related Monitoring & Observability Tools
View all 92 →
Firecrawl
94KTurn websites into LLM-ready data — scrape, crawl, and extract structured content from any website as clean markdown, JSON, or screenshots.
Uptime Kuma
84KFancy self-hosted uptime monitoring with 90+ notification services, status pages, and 20-second check intervals — the open-source UptimeRobot alternative.
Netdata
78KReal-time infrastructure monitoring with per-second metrics, 800+ integrations, built-in ML anomaly detection, and AI troubleshooting — using just 5% CPU and 150MB RAM.
Elasticsearch
76KThe distributed search and analytics engine that powers search at Netflix, eBay, and Uber — sub-millisecond queries across billions of documents, with vector search built in for AI/RAG applications.
Grafana
73KThe open-source observability platform for visualizing metrics, logs, and traces from Prometheus, Loki, Elasticsearch, and dozens more data sources.
Sentry
43KSentry is the leading error tracking and application performance monitoring platform, helping developers diagnose, fix, and optimize code across every stack.