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LogTrail vs OK Log

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LogTrail
7
26
+ 1
0
OK Log
14
13
+ 1
0
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LogTrail vs OK Log: What are the differences?

Developers describe LogTrail as "A Kibana plugin to view, search and tail logs and events *". LogTrail is a plugin for Kibana to view, analyze, search and tail log events from multiple hosts in realtime with devops friendly interface inspired by Papertrail. On the other hand, *OK Log** is detailed as "A distributed and coordination-free log management system". OK Log is a distributed and coördination-free log management system for big ol' clusters. It's an on-prem solution that's designed to be a sort of building block: easy to understand, easy to operate, and easy to extend.

LogTrail and OK Log belong to "Log Management" category of the tech stack.

LogTrail and OK Log are both open source tools. OK Log with 2.78K GitHub stars and 135 forks on GitHub appears to be more popular than LogTrail with 1.18K GitHub stars and 148 GitHub forks.

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What is LogTrail?

LogTrail is a plugin for Kibana to view, analyze, search and tail log events from multiple hosts in realtime with devops friendly interface inspired by Papertrail.

What is OK Log?

OK Log is a distributed and coördination-free log management system for big ol' clusters. It's an on-prem solution that's designed to be a sort of building block: easy to understand, easy to operate, and easy to extend.

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What tools integrate with LogTrail?
What tools integrate with OK Log?
What are some alternatives to LogTrail and OK Log?
Papertrail
Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.
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.
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.
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.
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.
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