It’s comprised of Elasticsearch, Kibana, Beats, and Logstash (also known as the ELK Stack) and more. Reliably and securely take data from any source, in any format, then search, analyze, and visualize.
ElasticSearch - The Heart of Search and Analytics
ElasticSearch, a powerful and scalable search engine, is explored in this section. From indexing vast datasets to executing complex search queries, discover how ElasticSearch provides the backbone for efficient data retrieval and analysis. Its distributed nature ensures speed and reliability, making it an ideal solution for organizations dealing with large-scale data.
Logstash - Streamlining Data Processing
Logstash, the data processing powerhouse of the ELK Stack, takes center stage in this section. Learn how Logstash ingests, transforms, and enriches data from various sources before sending it to ElasticSearch. From log parsing to data normalization, Logstash plays a crucial role in ensuring that the data entering ElasticSearch is optimized for analysis.
Kibana - Visualizing Insights in Real-Time
Kibana, the visualization layer of the ELK Stack, is explored in this section. Dive into the user-friendly interface that allows organizations to create insightful and real-time visualizations of their data. From interactive dashboards to customizable charts, Kibana transforms raw data into meaningful insights, empowering users to make informed decisions.
Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases.
Powerful analysis on any data from any source, from threat intelligence to search analytics, logs to application monitoring.
Whether your data is in a single cloud, across multiple clouds, or on-premises, Elastic gives you the flexibility to use .