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Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application.
Fluentd is an event collector system. It is a generalized version of syslogd, which handles JSON objects for its log messages. It collects logs from various data sources and writes them to files, database or other types of storages.
Go library to parse the binary Docker Logs stream into plain text. dlog offers a single method: NewReader(r io.Reader) io.Reader. You are supposed to give the response body of the /containers/<id>/logs. The returned reader strips off the log headers and just gives the plain text to be used.
The Timber Agent is a cross-platform natively-compiled utility for capturing log data (file & STDIN) and sending it to Timber.io. It is designed to be light weight, highly efficient, and reliable without the need for dependencies. All releases can be found here. Special URLs that point to the current releases can be found here.
LogESP is a SIEM (Security Information and Event Management system) written in Python Django. It features a web frontend, and handles log management and forensics, risk management, and asset management. LogESP was designed and built as a security application, and minimalism can be good for security.
Siemstress is a lightweight but powerful security information and event management (SIEM) system. It uses a database and a suite of CLI tools for managing log events, and automating event analysis. It comes with four programs: siemparse, siemquery, siemtrigger, and siemmanage. Siemstress is designed to parse data, and organize it into prioritized, manageable streams of relevant information. The goal is a streamlined open source information management system that embodies unix design principles. It should be simple, modular, and useful beyond its original scope.
Logpeck aims to be an easy-to-use module that parsing and collecting contents from log file and posting into specific storage system, such as ElasticSearch, Influxdb, Kafka. We want to control collection tasks remotely with HTTP API (NONE configuration file). We highly recommend to install logpeck-kibana-plugin into Kibana. With this plugin, we can control all machines and collection tasks conveniently. At the same time, we can take advantage of powerful searching and visualization features of Kibana.