Open Source Linux Logging Software
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Logging Software for Linux
View 283 business solutionsBrowse free open source Logging software and projects for Linux below. Use the toggles on the left to filter open source Logging software by OS, license, language, programming language, and project status.
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S.M.A.R.T. Monitoring Tools
Disk Inspection and Monitoring
smartmontools contains utility programs (smartctl, smartd) to control/monitor storage systems using the Self-Monitoring, Analysis and Reporting Technology System (S.M.A.R.T.) built into most modern ATA and SCSI disks. It is derived from smartsuite. -
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log4cplus
Logging Framework for C++
log4cplus is a simple to use C++ logging API providing thread-safe, flexible, and arbitrarily granular control over log management and configuration. It is modelled after the Java log4j API. -
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Project's goal is to create better tools for diagnosing Linux systems. Diagnostics include first failure data capture, error log analysis, preventative testing, and system inventory gathering. You can now find Power System specific packages on github. libservicelog : https://github.com/power-ras/libservicelog servicelog : https://github.com/power-ras/servicelog lsvpd : https://github.com/power-ras/lsvpd libvpd : https://github.com/power-ras/libvpd ppc64-diag : https://github.com/power-ras/ppc64-diag sysfsutils is moved to github. New home for sysfsutils : https://github.com/linux-ras/sysfsutils
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ANSI C functions and macros for flexible logging to files and other destinations. It is modeled after the Log for Java library (http://www.log4j.org), staying as close to their API as is reasonable. Intended for use in time-space critical environments
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Grafana Loki
Multi-tenant log aggregation system inspired by Prometheus
Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream. Unlike other logging systems, Loki is built around the idea of only indexing metadata about your logs: labels (just like Prometheus labels). Log data itself is then compressed and stored in chunks in object stores such as S3 or GCS, or even locally on the filesystem. A small index and highly compressed chunks simplifies the operation and significantly lowers the cost of Loki. Loki supports multi-tenancy so that data between tenants is completely separated. Multi-tenancy is achieved through a tenant ID (which is represented as an alphanumeric string). When multi-tenancy mode is disabled, all requests are internally given a tenant ID of “fake”. -
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Zabbix
Enterprise-class, distributed monitoring solution for networks & apps
Zabbix is an enterprise-class open source distributed monitoring solution designed to monitor and track performance and availability of network servers, devices and other IT resources. It supports distributed and WEB monitoring, auto-discovery, and more. An enterprise-class distributed monitoring solution for networks & apps -
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Log library for C++
C++ library for flexible logging
A library of C++ classes for flexible logging to files (rolling), syslog, IDSA and other destinations. It is modeled after the Log for Java library (http://www.log4j.org), staying as close to their API as is reasonable. Home: https://log4cpp.sourceforge.net Platforms: Linux, Windows, MacOS. New: CMake, CTest support for MS VS 2022, RAD Studio 12 -
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Ettercap is a multipurpose sniffer/interceptor/logger for switched LAN. It supports active and passive dissection of many protocols (even ciphered ones) and includes many feature for network and host analysis. Development has been moved to GitHub, https://github.com/Ettercap/ettercap
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Osquery
SQL operating system instrumentation and monitoring framework
Osquery is an operating system instrumentation framework for Windows, OS X (macOS), Linux, and FreeBSD. The tools make low-level operating system analytics and monitoring both performant and intuitive. Osquery exposes an operating system as a high-performance relational database. This allows you to write SQL queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes.Osquery queries your devices like a database. Osquery uses basic SQL commands to leverage a relational data-model to describe a device. Frequently, attackers will leave a malicious process running but delete the original binary on disk. This query returns any process whose original binary has been deleted, which could be an indicator of a suspicious process. -
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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
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ddrescueview
Graphical viewer for GNU ddrescue mapfiles
This small tool allows the user to graphically examine ddrescue's mapfiles in a user friendly GUI application. The Main window displays a block grid with each block's color representing the block types it contains. Many people know this type of view from defragmentation programs. The program is written in Object Pascal using the Lazarus IDE. It can be compiled to run on Windows, GNU/Linux and probably OS X, too. The downloads include binaries for the respective target platform and the project files (source code). Update 2022/02/25: ddrescueview version 0.4.5 has been released. This maintenance release restores compatibility with ddrescue 1.24 and later. Please consider testing this version. Report issues in the bug tracker if you have a sourceforge account, or by email to <mbit-kiel@users.sourceforge.net> -
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syslog-ng
Log management solution that improves the performance of SIEM
syslog-ng is the log management solution that improves the performance of your SIEM solution by reducing the amount and improving the quality of data feeding your SIEM. With syslog-ng Store Box, you can find the answer. Search billions of logs in seconds using full text queries with Boolean operators to pinpoint critical logs. syslog-ng Store Box provides secure, tamper-proof storage and custom reporting to demonstrate compliance. syslog-ng can deliver data from a wide variety of sources to Hadoop, Elasticsearch, MongoDB, and Kafka as well as many others. syslog-ng flexibly routes log data from X sources to Y destinations. Instead of deploying multiple agents on hosts, organizations can unify their log data collection and management. syslog-ng Store Box provides automated archiving, tamper-proof encrypted storage, granular access controls to protect log data. The largest appliance can store up to 10TB of raw logs. -
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Netdata
Open-source systems performance monitor
Netdata is a well-crafted real time performance monitor to detect anomalies in your system infrastructure. Visualize many types of data including disk activity, SQL queries, website visitors and more. This tool is useful to monitor linux servers. -
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Logwatch is a customizable log analysis system. Logwatch parses through your system's logs and creates a report analyzing areas that you specify. Logwatch is easy to use and will work right out of the package on most systems.
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Logbook
An extensible Java library for HTTP request and response logging
Logbook is an extensible Java library to enable complete request and response logging for different client- and server-side technologies. It satisfies a special need by a) allowing web application developers to log any HTTP traffic that an application receives or sends b) in a way that makes it easy to persist and analyze it later. This can be useful for traditional log analysis, meeting audit requirements or investigating individual historic traffic issues. Logbook is ready to use out of the box for most common setups. Even for uncommon applications and technologies, it should be simple to implement the necessary interfaces to connect a library/framework/etc. to it. -
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fluentbit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX
Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing. Filtering and enrichment to optimize security and minimize cost. The lightweight, asynchronous design optimizes resource usage: CPU, memory, disk I/O, network. No more OOM errors! Integration with all your technology, cloud-native services, containers, streaming processors, and data backends. Fully event-driven design leverages the operating system API for performance and reliability. All operations to collect and deliver data are asynchronous. -
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mtail
Extract internal monitoring data from application logs
Extract internal monitoring data from application logs for collection in a time-series database. mtail is a tool for extracting metrics from application logs to be exported into a timeseries database or timeseries calculator for alerting and dashboarding. It fills a monitoring niche by being the glue between applications that do not export their own internal state (other than via logs) and existing monitoring systems, such that system operators do not need to patch those applications to instrument them or writing custom extraction code for every such application. The extraction is controlled by mtail programs which define patterns and actions. Metrics are exported for scraping by a collector as JSON or Prometheus format over HTTP, or can be periodically sent to a collectd, StatsD, or Graphite collector socket. Precompiled binaries for released versions are available in the Releases page on Github. Using the latest production release binary is the recommended way of installing mtail. -
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Quill Library
Asynchronous Low Latency C++ Logging Library
Quill is a high-performance asynchronous logging library. It is particularly suited for performance-critical applications where every microsecond counts. -
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Logstash
Centralize, transform and stash your data
Logstash is a server-side data processing pipeline that dynamically ingests data from numerous sources, transforms it, and ships it to your favorite “stash” regardless of format or complexity. It supports and ingests data of all shapes, sizes and sources, dynamically transforms and prepares this data, and transports it to the output of your choice. Logstash is extensible, with over 200 plugins available to let you create and configure your pipeline how you choose. -
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Serilog
Simple .NET logging with fully-structured events
Like many other libraries for .NET, Serilog provides diagnostic logging to files, the console, and elsewhere. It is easy to set up, has a clean API, and is portable between recent .NET platforms. Unlike other logging libraries, Serilog is built with powerful structured event data in mind. Serilog message templates are a simple DSL extending .NET format strings. Parameters can be named, and their values are serialized as properties on the event for incredible searching and sorting flexibility. Serilog is a diagnostic logging library for .NET applications. It is easy to set up, has a clean API, and runs on all recent .NET platforms. While it's useful even in the simplest applications, Serilog's support for structured logging shines when instrumenting complex, distributed, and asynchronous applications and systems. -
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NSClient++ is a windows service that allows performance metrics to be gathered by Nagios (and possibly other monitoring tools). It is an attempt to create a NSClient and NRPE compatible but yet extendable performance service for windows.
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Log Viewer
Fast and beautiful Log Viewer for Laravel
Beautiful, fast, and open-source viewer for your app logs. Forget scrolling through raw log files to find the errors or debug logs you're looking for. Forget about SSH'ing onto the production server just to read the logs. Log Viewer helps you quickly and clearly see individual log entries, to search, filter, and make sense of your Laravel logs fast. It is free and easy to install. -
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Loguru
Python logging made (stupidly) simple
Loguru is a Python library designed to simplify logging for developers. It offers easy setup with no configuration, support for multiple sinks (console, file, etc.), structured logging, formatting, rotation, and exception handling—all in an intuitive API. -
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pino
Super fast, all natural json logger
When logging, it's important to use the least amount of resources available. Over time, logged messages tend to pile up. This can lead to some negative effects on applications, such as reduced requests per second. This is why pino is an ideal choice for logging. pino is a very fast Node.js logger with very low overhead. It is in many cases 5x faster than alternatives, based on benchmarks. pino offers not just speed but a number of great features as well, such as a browser API, child loggers, transports, and pretty printing, which "prettifies" your logs. -
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spdlog
Fast C++ logging library
spdlog is a header only library. Just copy the files under include to your build tree and use a C++11 compiler. It provides a python like formatting API using the bundled fmt lib. spdlog takes the "include what you need" approach, your code should include the features that actually needed. For example, if you only need rotating logger, you need to include "spdlog/sinks/rotating_file_sink.h". spdlog provides various log targets, which are, rotating log files, daily log files, console logging (colors supported), syslog, Windows event log, and Windows debugger (OutputDebugString(..)). Easily extendable with custom log targets. Log filtering, log levels can be modified in runtime as well as in compile time. Support for loading log levels from argv or from environment var. Backtrace support, store debug messages in a ring buffer and display later on demand.
