![]() Kibana is a highly popular visualisation and reporting user interface developed in 2013 by Rashid Khan of the Elastic Company. The last tool which makes up ELK is Kibana. ![]() It works by collecting log messages and forwarding them onto Elasticsearch for visualisation and further processing within Kibana. Logstash works as a powerful extract, transform & load (ETL) tool which serves as a flexible pipeline that collects, enriches and transports data. The second tool that makes up ELK is Logstash. Elasticsearch is well known for its features that allow the search engine to suggest intelligent results based on prior search data and its ability to return accurate results even for terms entered with typos. Elasticsearch is a powerful & fast search and analytics engine that processes data in real-time. ELK is also used for alert configuration and plays a key role in sending alerts to your existing incident management systems. In addition to log management, the ELK stack is used to solve an extensive array of cybersecurity, application performance and observability issues that arise from a lack of data visualisation and monitoring capabilities. ![]() The ELK Stack is the most popular solution for log management and analysis and is also known as the Elastic Stack (as of their rebrand, formally announced in October of 2016). The ELK Stack stands for the previously open-source tools Elasticsearch, Logstash, and Kibana (which were open-sourced up to and including version 7.10). In this extensive guide (updated for 2023) we cover all of the essential basics you need to know to get started with installing ELK, exploring its most popular use cases and the leading integrations you’ll want to start ingesting your logs and metrics data from. The ELK Stack has millions of users globally due to its effectiveness for log management, SIEM, alerting, data analytics, e-commerce site search and data visualisation.
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