Log Aggregation
Showing 20 of 20 projects
A horizontally-scalable, multi-tenant log aggregation system inspired by Prometheus, designed for cost-effectiveness and ease of operation.
A plugin-driven agent for collecting, processing, aggregating, and writing metrics, logs, and arbitrary data.
A plugin-driven agent for collecting, processing, aggregating, and writing metrics, logs, and arbitrary data.
A server-side data processing pipeline that ingests, transforms, and ships logs and events from multiple sources.
An AI-powered open-source observability platform unifying metrics, logs, and alerting with agentless collection and custom monitoring.
A Docker container log router that attaches to all containers on a host and routes their logs to various destinations.
A deprecated tool for collecting, processing, and delivering data from multiple sources with Go and Lua plugin support.
A distributed service for efficiently collecting, aggregating, and moving large amounts of log-like data.
A scalable n:m message multiplexer written in Go for routing messages from multiple sources to multiple destinations.
A fast, secure, and standalone log collector written in Rust that parses, validates, and forwards log data.
A centralized platform for security monitoring and analysis, integrating big data technologies for log aggregation, threat detection, and behavioral analytics.
A distributed data pipeline service for collecting, aggregating, and dispatching large volumes of application events and log data.
A Ruby gem for logging and analyzing outgoing HTTP requests from multiple HTTP client libraries.
An open-source security analytics platform that integrates big data technologies for centralized security monitoring, threat detection, and investigation.
A secure, out-of-the-box monitoring, logging, and alerting suite for Docker hosts and containers using Prometheus, Grafana, ELK, and more.
A Fluentd output plugin for sending log events to Amazon Kinesis Data Streams and Amazon Data Firehose.
A versatile and extensible logging framework for Rust applications, supporting multiple dispatches, filters, and appenders.
A Hadoop log aggregator and dashboard for visualizing cluster utilization across users.
A Flume NG sink that writes event data to MongoDB with flexible configuration for collection mapping and data transformation.
AWS assets for sending Amazon ECS container logs to CloudWatch Logs for centralized monitoring.
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