Logback vs Papertrail

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Logback

1.3K
76
+ 1
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Papertrail

609
378
+ 1
273
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Logback vs Papertrail: What are the differences?

Developers describe Logback as "A logging framework for Java applications". 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. On the other hand, Papertrail is detailed as "Hosted log management for servers, apps, and cloud services". Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logback and Papertrail can be primarily classified as "Log Management" tools.

According to the StackShare community, Papertrail has a broader approval, being mentioned in 303 company stacks & 193 developers stacks; compared to Logback, which is listed in 4 company stacks and 9 developer stacks.

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Pros of Logback
Pros of Papertrail
    Be the first to leave a pro
    • 85
      Log search
    • 43
      Easy log aggregation across multiple machines
    • 43
      Integrates with Heroku
    • 37
      Simple interface
    • 26
      Backup to S3
    • 19
      Easy setup, independent of existing logging setup
    • 15
      Heroku add-on
    • 3
      Command line interface
    • 1
      Alerting
    • 1
      Good for Startups

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    Cons of Logback
    Cons of Papertrail
      Be the first to leave a con
      • 2
        Expensive
      • 1
        External Network Goes Down You Wont Be Logging

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      What is 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.

      What is 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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Logback?
      What companies use Papertrail?
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      What tools integrate with Logback?
      What tools integrate with Papertrail?

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      What are some alternatives to Logback and Papertrail?
      Log4j
      It is an open source logging framework. With this tool – logging behavior can be controlled by editing a configuration file only without touching the application binary and can be used to store the Selenium Automation flow logs.
      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.
      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.
      New Relic
      The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
      Kibana
      Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
      See all alternatives