🔥Processing data with Elastic Stack
• Elastic Stack is a vast ecosystem of components that are used to search and process big data. This ecosystem is a JSON-based distributed system that combines the features of a NoSQL database. The work of the Elastic Stack is provided by such components as:
• Elasticsearch is a large, fast, and highly scalable non-relational data store that has become a great tool for log search and analytics due to its power, simplicity, schemaless JSON documents, multilingual support, and geolocation. The system can quickly process large volumes of logs, index system logs as they arrive, and query them in real time. Performing operations in Elasticsearch, such as reading or writing data, usually takes less than a second, which makes it suitable for use cases where you need to react almost in real time, such as monitoring applications and detecting any anomalies.
• Longstash - is utility to help centralizing data related to events, such as information from log files (logs), various indicators (metrics) or any other data in any format. It can perform data processing before forming the sample you need. It is the key component of the Elastic Stack and is used to collect and process your data containers. Logstash is considered a server side component. Its main purpose is to perform the collection of data from a wide range of input sources in a scalable way, as well as processing the information and sending it to the destination. By default, the converted information goes to Elasticsearch, and you can choose from many other output options. Logstash's architecture is plugin-based and easily extensible. Three types of plugins are supported: input, filtering and output.
• Kibana is an Elastic Stack visualization tool that helps visualize data in Elasticsearch. Kibana offers a variety of visualization options such as histogram, map, line graphs, time series, and more. Kibana allows you to create visualizations with just a couple of mouse clicks and explore your data in an interactive way. In addition, it is possible to create beautiful dashboards consisting of various visualizations, share them, and also receive high-quality reports.
• Beats is an open source data delivery platform that complements Logstash. Unlike Logstash, which runs on the server side, Beats is on the client side. At the heart of this platform is the libbeat library, which provides an API for passing data from a source, configuring input, and implementing data collection. Beats is installed on devices that are not part of the server components such as Elasticsearch, Logstash or Kibana. They are hosted on non-clustered nodes, which are also sometimes referred to as edge nodes.
You can download the elements of the Elastic Stack from the following link: https://www.elastic.co/elastic-stack/