Open Source Mac Log Management Tools
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Log Management Tools for Mac
View 28 business solutionsBrowse free open source Log Management tools and projects for Mac below. Use the toggles on the left to filter open source Log Management tools by OS, license, language, programming language, and project status.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Rhit
A nginx log explorer
Rhit is a fast Rust command-line explorer for analyzing Nginx access logs directly in the terminal. It reads standard log files from their usual locations and can process compressed logs without requiring a separate database. Results are summarized in compact console tables rather than stored in another analytics system. Users can filter requests by dates, HTTP status codes, referring pages, and request paths. Trend analysis helps reveal how traffic patterns change across a selected time period. Its performance is designed for interactive investigation, allowing repeated queries against millions of log lines. Rhit is useful for administrators who want quick traffic insights without installing a larger observability stack. -
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AlienVault OSSIM
Open Source SIEM
OSSIM, AlienVault’s Open Source Security Information and Event Management (SIEM) product, provides event collection, normalization and correlation. For more advanced functionality, AlienVault Unified Security Management (USM) builds on OSSIM with these additional capabilities: * Log management * Advanced threat detection with a continuously updated library of pre-built correlation rules * Actionable threat intelligence updates from AlienVault Labs Security Research Team * Rich analytics dashboards and data visualization -
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Grafana Mimir
Grafana Mimir provides long-term storage for Prometheus
Grafana Mimir is an open-source, horizontally scalable, long-term storage solution for Prometheus metrics. Built by Grafana Labs, Mimir is designed to handle massive volumes of time-series data efficiently while maintaining high availability and reliability. It enables organizations to scale their Prometheus infrastructure without the typical limitations of single-server setups. Mimir is used to power Grafana Cloud Metrics and is built to be fully compatible with Prometheus, allowing easy integration into existing monitoring workflows. -
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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. -
Paessler - Monitor Your Whole Network in MinutesWaiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
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PM2
Node.js Production Process Manager with a built-in Load Balancer
PM2 (Process Manager 2) is a production process manager with its own built-in load-balancer for Node.js applications. If you want battle-hardened Node.js applications that can be monitored and kept alive forever, PM2 is the way to go. PM2 lets you manage, maintain and increase Node.js performance. It is constantly assailed by over 1800 tests so you can deliver high quality applications, and deploy confidently and more often. PM2 is cross-platform and arguably the most widely-used process manager for Node.js with over 100 million downloads. Setting it up is easy, it just takes a couple of minutes and one simple command. -
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HyperDX
An open source observability platform unifying session replays & logs
HyperDX helps engineers figure out why production is broken faster by centralizing and correlating logs, metrics, traces, exceptions and session replays in one place. An open-source and developer-friendly alternative to Datadog and New Relic. The HyperDX stack ingests, stores, and searches/graphs your telemetry data. After standing up the Docker Compose stack, you'll want to instrument your app to send data over to HyperDX. -
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UTMStack
Customizable SIEM and XDR powered by Real-Time correlation
Welcome to the UTMStack open-source project! UTMStack is a unified threat management platform that merges SIEM (Security Information and Event Management) and XDR (Extended Detection and Response) technologies. Our unique approach allows real-time correlation of log data, threat intelligence, and malware activity patterns from multiple sources, enabling the identification and halting of complex threats that use stealthy techniques. UTMStack stands out in threat prevention by surpassing the boundaries of traditional systems. Our software platform can swiftly analyze log data to identify and halt threats at their source in real-time, even if the threat was not directly detected on the server itself. This seamless integration of SIEM and XDR capabilities sets UTMStack apart from competitors, providing organizations with an effective, holistic cybersecurity suite that enhances threat detection, response, and remediation across clients’ valuable digital infrastructure. -
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Fluentd
Fluentd: Unified Logging Layer (project under CNCF)
Fluentd is a CNCF‑graduated open-source data collector that unifies log data collection and consumption across diverse systems. It supports robust reliability, buffering, extensible plugin architecture, and real-time log routing. Fluentd serves as a unified logging layer for structured/unstructured data processing. -
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OpenObserve
Elasticsearch/Splunk/Datadog alternative for (logs, metrics, traces)
OpenObserve is a cloud-native observability platform built specifically for logs, metrics, traces, and analytics designed to work at a petabyte scale. It is very simple and easy to operate as opposed to Elasticsearch which requires a couple of dozen knobs to understand and tune which you can get up and running in under 2 minutes. It is a drop-in replacement for Elasticsearch if you are just ingesting data using APIs and searching using Kibana (Kibana is not supported nor required with OpenObserve. OpenObserve provides its own UI which does not require separate installation unlike Kibana). You can reduce your log storage costs by ~140x compared to Elasticsearch by using OpenObserve. Below are the results when we pushed logs from our production Kubernetes cluster to Elasticsearch and OpenObserve using fluent bit. OpenObserve stored data in Amazon s3 and Elasticsearch stored data on Amazon EBS volumes. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Quickwit
Sub-second search & analytics engine on cloud storage
Sub-second search & analytics engine on cloud storage. Quickwit is the fastest search engine on cloud storage. Quickwit has an Elasticsearch-compatible Ingest-API to make it easier to migrate your log shippers (Vector, Fluent Bit, Syslog, ...) to Quickwit. However, we only support ES aggregation DSL, the query DSL support is planned for Q2 2023. The core difference and advantage of Quickwit are its architecture built from the ground to search on cloud storage. We optimized IO paths, revamped the index data structures and made search stateless and sub-second on cloud storage. Quickwit is open-source under the GNU Affero General Public License Version 3 - AGPLv3. Fundamentally, this means you are free to use Quickwit for your project if you don't modify Quickwit. However, if you do and you are distributing your modified version to the public, you have to make the modifications public. -
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l'oGGo
A powerful terminal app for structured log streaming
l'oGGo or Log & Go is a rich Terminal User Interface app written in Golang that harnesses the power of your terminal to digest log streams based on JSON-based logs. This can be used against applications running locally, on a Kubernetes cluster (see K8S Cheatsheet), GCP Stack Driver (Google Logs, see GCP-Stream Command), and many others. -
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C++ Log Engine Library
Easy, flexible, lightweight, platform independent C++logging library
New version 1.03 is released! Check it out. LogEngine is a C++ library for easy and flexible logging to files. Multithreaded, easy to use and fast. Automatic logfile backup (several modes). A small amount of code. Platform Independent. -
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Docker-ELK
The Elastic stack (ELK) powered by Docker and Compose
A turnkey Docker Compose stack to spin up the ELK stack (Elasticsearch, Logstash, Kibana) for log collection, analysis, and visualization. Based on official Elastic images and enhanced with configuration defaults optimized for local development and testing. -
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Flog
A fake log generator for common log formats
flog is a fake log generator built in Go that produces realistic log entries in several common formats, including Apache common, Apache combined, Apache error, RFC3164, RFC5424, and JSON. It was created to help developers and operators test systems that consume log data, such as log pipelines, SIEMs, or streaming platforms like Amazon Kinesis. Users can control the output by specifying the log format, output file path, log type (stdout, plain log file, or gzip-compressed file), and either the number of lines or the total byte size of logs to generate. Additional options let you simulate timing behavior by configuring creation intervals and generation delays, as well as splitting output into multiple files based on line count or file size. The tool can run in a loop to continuously emit logs until terminated, making it suitable for soak testing or stress testing log ingestion services. -
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Graylog Ansible Role
Ansible role which installs and configures Graylog
Ansible role which installs and configures Graylog. -
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LogDNA Agent
LogDNA Agent streams from log files to your LogDNA account
LogDNA Agent streams from log files to your LogDNA account. Works with Linux, Windows, and macOS Servers. -
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LogSearcher
Log Management Web Application
Log Searcher provided full indexed search engine for log files on each servers. It supported many powerful query types such as phrase queries, wildcard queries, proximity queries, range queries and more with Lucene and Solr technology. It comes with Web interface to search and generate chart accordingly. This project is Open Source project with Apache 2.0 license for allowing you to extra development on top of Log Searcher project. The initial configuration was written on readme.txt before implementation on production line. If you have idea for improvement, you can drop an email to me. Contact: log.searcher[at]yahoo.com -
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Logagent
Extensible log shipper with input/output plugins, buffering, etc.
Logagent is a modern, open-source, lightweight log shipper. It is like Filebeat and Logstash in one, without the JVM memory footprint. It comes with out-of-the-box and extensible log parsing, on-disk buffering, secure transport, and bulk indexing to Elasticsearch, Sematext Logs, and other destinations. Its low memory footprint and low CPU overhead make it suitable for deploying on edge nodes and devices, while its ability to parse and structure logs makes it a great Logstash alternative. -
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Qualitis
Qualitis is a one-stop data quality management platform
Qualitis is a data quality management platform that supports quality verification, notification, and management for various datasource. It is used to solve various data quality problems caused by data processing. Based on Spring Boot, Qualitis submits quality model task to Linkis platform. It provides functions such as data quality model construction, data quality model execution, data quality verification, reports of data quality generation and so on. At the same time, Qualitis provides enterprise-level features of financial-level resource isolation, management and access control. It is also guaranteed working well under high-concurrency, high-performance and high-availability scenarios. -
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SDK for Shipping Android Logs
Sematext Logs Client Library for Android
Sematext Logs is ELK as a Service. This library lets you collect mobile analytics and log data from your Android applications using Sematext. There is an equivalent library for shipping logs from iOS available. If you don't have a Sematext account, you can register for free to get your App token. Use the Mobile Application Logs Integration to get out-of-the-box reports with the most important information about your mobile applications. -
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This is a log management system for Twisted applications. It's a way to use python logging facilities under Twisted log environment. It contains a server for storage of log messages,and a GUI to manage logging messages browsing & log dynamic config.
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WTERP
Factional modular: CRM, SD,MM,WM,HR, Workflo and System configuration.
WTERP is totally free software and It is very suitable for small business management. Which is developed by C#/.net. IIS WebService and SQL Server Community version of the free environment and Database at WinForm-based application framework, including server Web Service, main program framework, organizational structure, authority control, menu navigation, basic data, system parameters, log management, timing tasks, etc.WTERP includes enterprise CRM, SD, MM, WM, OA, HR, Workflow, and other information systems, and aims to help users enhance their management. -
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apache-logs-to-mysql
Apache Log Parser and Data Normalization Application
Apache Log Parser and Data Normalization Application Python handles File Processing & MySQL handles Data Processing ApacheLogs2MySQL consists of two Python Modules & one MySQL Schema to automate importing Access & Error files and normalizing data into database designed for reports & data analysis. Runs on Windows, Linux and MacOS & tested with MySQL versions 8.0.39, 8.4.3, 9.0.0 & 9.1.0. 4 LogFormats & 2 ErrorLogFormats can be loaded and 5 MySQL Stored Procedures can be processed in a single Python `ProcessLogs function` execution. Database system designed to accommodate unlimited domains. Step-by-step guide for easy installation. Web interface with Drill Down Capability and apache/echarts Log Visualization integration in development. MySQL apache_logs schema currently has 49 Tables, 853 Columns, 168 Indexes, 66 Views, 7 Stored Procedures and 43 Functions to process Apache Access log in 4 formats & Apache Error log in 2 formats. Database normalization at work!
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