ELK vs Logback vs Logstash

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ELK

852
931
+ 1
23
Logback

1.3K
76
+ 1
0
Logstash

11.3K
8.7K
+ 1
103
Manage your open source components, licenses, and vulnerabilities
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Pros of ELK
Pros of Logback
Pros of Logstash
  • 14
    Open source
  • 4
    Can run locally
  • 3
    Good for startups with monetary limitations
  • 1
    External Network Goes Down You Aren't Without Logging
  • 1
    Easy to setup
  • 0
    Json log supprt
  • 0
    Live logging
    Be the first to leave a pro
    • 69
      Free
    • 18
      Easy but powerful filtering
    • 12
      Scalable
    • 2
      Kibana provides machine learning based analytics to log
    • 1
      Great to meet GDPR goals
    • 1
      Well Documented

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    Cons of ELK
    Cons of Logback
    Cons of Logstash
    • 5
      Elastic Search is a resource hog
    • 3
      Logstash configuration is a pain
    • 1
      Bad for startups with personal limitations
      Be the first to leave a con
      • 4
        Memory-intensive
      • 1
        Documentation difficult to use

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      - No public GitHub repository available -
      - No public GitHub repository available -

      What is 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.

      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 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.

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      What companies use ELK?
      What companies use Logback?
      What companies use Logstash?

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      What tools integrate with ELK?
      What tools integrate with Logback?
      What tools integrate with Logstash?

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      Blog Posts

      May 21 2019 at 12:20AM

      Elastic

      ElasticsearchKibanaLogstash+4
      12
      5236
      GitHubPythonReact+42
      49
      40845
      GitHubMySQLSlack+44
      109
      50714
      What are some alternatives to ELK, Logback, and Logstash?
      Datadog
      Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
      Splunk
      It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
      Graylog
      Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.
      JavaScript
      JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
      Git
      Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
      See all alternatives