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LogMx

An intuitive and cross-platform tool, for developers and administrators analyzing log files
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What is LogMx?

It is an intuitive and cross-platform tool, for developers and administrators analyzing log files. Using a nice and powerful graphical interface, it parses, displays and monitors any logs from any source.
LogMx is a tool in the Log Management category of a tech stack.

LogMx Integrations

LogMx's Features

  • Nice and powerful graphical interface
  • Parses log events from any file or data stream
  • Standalone application weighing only about 6 MB
  • Monitor logs in real-time without reload

LogMx Alternatives & Comparisons

What are some alternatives to LogMx?
Logstash
Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
Logback
It is intended as a successor to the popular log4j project. It is divided into three modules, logback-core, logback-classic and logback-access. The logback-core module lays the groundwork for the other two modules, logback-classic natively implements the SLF4J API so that you can readily switch back and forth between logback and other logging frameworks and logback-access module integrates with Servlet containers, such as Tomcat and Jetty, to provide HTTP-access log functionality.
SLF4J
It is a simple Logging Facade for Java (SLF4J) serves as a simple facade or abstraction for various logging frameworks allowing the end user to plug in the desired logging framework at deployment time.
Serilog
It 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.
ELK
It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
See all alternatives

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