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.
LogTrail is a tool in the Log Management category of a tech stack.
LogTrail is an open source tool with 1.4K GitHub stars and 192 GitHub forks. Here’s a link to LogTrail's open source repository on GitHub
Who uses LogTrail?
Companies
Developers
6 developers on StackShare have stated that they use LogTrail.
LogTrail Integrations
LogTrail's Features
- View, analyze and search log events from a centralized interface
- Clean & simple devops friendly interface
- Live tail
- Filter aggregated logs by hosts and program
- Quickly seek to logs based on time
LogTrail Alternatives & Comparisons
What are some alternatives to LogTrail?
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.
