The Elastic Stack 5.0, also known as the ELK Stack, is an open-source software suite that combines various tools and components for centralized logging, monitoring, and analytics. The Elastic Stack is developed by Elastic, a company known for its popular search and analytics engine called Elasticsearch.
The Elastic Stack 5.0 consists of the following components:
1. Elasticsearch: It is a distributed, real-time search and analytics engine that forms the core of the Elastic Stack. Elasticsearch is designed to handle large volumes of data, provide fast search capabilities, and enable complex querying and aggregations. It supports horizontal scalability, fault tolerance, and real-time data ingestion.
2. Logstash: Logstash is a data processing pipeline that collects, filters, and transforms data from various sources for centralized storage and analysis. It allows you to ingest and parse log files, metrics, events, and other types of data, and then send them to Elasticsearch for indexing and search.
3. Kibana: Kibana is a web-based user interface that provides powerful visualization capabilities and enables users to explore, analyze, and visualize data stored in Elasticsearch. It offers a variety of charts, graphs, and dashboards to create interactive visualizations and gain insights from the data.
4. Beats: Beats are lightweight data shippers that can be deployed on servers or devices to collect and send various types of operational data to Elasticsearch or Logstash. Beats are available for specific use cases, such as collecting system logs (Filebeat), network data (Packetbeat), metric data (Metricbeat), or audit logs (Auditbeat).
Together, these components of the Elastic Stack allow organizations to centralize and analyze data from diverse sources, gain valuable insights, and facilitate operational monitoring, log analysis, security analytics, and business intelligence.
With the Elastic Stack, users can perform tasks such as real-time search, log analysis, anomaly detection, infrastructure monitoring, application performance monitoring, and more. It provides a scalable and flexible solution for managing and extracting value from large volumes of data in real time. By obtaining Splunk Training, you can advance your career in Splunk. With this course, you can demonstrate your expertise in Setting up a Cluster, Data Ingestion from multi-sources & Splunk knowledge objects which includes Searches, Creating and Manage Alerts, Creating and Managing Splunk Reports, Splunk Visualizations and Splunk Dashboards, many more fundamental concepts, and many more critical concepts among others.
It's worth noting that the version 5.0 of the Elastic Stack introduced significant updates and improvements to the components, including enhanced functionality, performance, and security features. Subsequent versions have been released with additional enhancements and new capabilities, and the latest version as of my knowledge cutoff in September 2021 is Elastic Stack 7.14.