All Web Images Videos News
Settings
Appearance
Site Icons
Font Size
Font
General
Infinite Scroll
Open Links in a New Tab
Safe Search
Related Questions
What is Beats? Answer: Beats is a lightweight data shipper from Elastic that is used to collect data from a variety of sources and send it to an Elasticsearch cluster. It is designed to be lightweight, reliable and easy to install. It provides a wide range of input and output plugins, allowing it to collect data from a variety of sources and send it to an Elasticsearch cluster or other destinations.
? Answer: The Elastic Common Schema (ECS) is a set of common fields for structured data. It is a set of standard fields and field types that allow structured data to be mapped to Elasticsearch. It provides users with a common structure for their data, making it easier to search, analyse and visualise it. Additionally, it allows users to easily switch from one data source to another without having to re-map their data.
What are the benefits of using Elasticsearch? Answer: Elasticsearch provides a range of benefits for users, which include scalability, high availability, fast performance, full-text search, and analytics capabilities. It offers users the ability to search and explore large datasets quickly and reliably. It also provides powerful analytics and visualisation capabilities, allowing users to analyse their data in real-time. Additionally, it is open source and cost-effective, making it a popular choice for many users.
What is the ELK Stack? Answer: The ELK Stack is a combination of three open source tools - Elasticsearch, Logstash and Kibana - all of which are used for data exploration and analysis. Elasticsearch is used for search and analytics, Logstash is used for data ingestion and transformation, and Kibana is used for visualisation. The ELK Stack provides a powerful and comprehensive platform for data exploration and analysis.
Is Elasticsearch free to use? Answer: Yes, Elasticsearch is open source and free to use. It is available under the Apache 2.0 license and is maintained by the Elastic community. It can be downloaded from the official website or from GitHub. Additionally, certain services such as support, training and consulting are available from the company for a fee.
What is Kibana? Answer: Kibana is an open source analytics and visualisation platform designed to work with Elasticsearch. It allows you to explore, analyse and visualise your data in real-time. It provides powerful visualisations such as histograms, line graphs, pie charts, heatmaps and many more. It also provides a powerful query language for searching and filtering data.
What is X-Pack? Answer: X-Pack is an Elastic Stack extension that provides additional features and security for Elasticsearch and other components of the stack. It includes features such as machine learning, alerting, and graph capabilities. It also provides enhanced security features such as role-based access control and authentication. X-Pack is available as an open source version as well as a commercial version.
What is Elastic Cloud? Answer: Elastic Cloud is a cloud-based service from Elastic that provides a managed, hosted Elasticsearch cluster. It offers users the ability to deploy, monitor and manage their Elasticsearch clusters without the need for any additional infrastructure. It also provides enhanced security and monitoring features, as well as the ability to scale up or down as needed.
What is Logstash? Answer: Logstash is an open source data ingestion, transformation and enrichment tool. It is designed to collect, parse, transform and store data from a variety of sources, including log files, databases, applications and APIs. It provides a wide range of input and output plugins, allowing it to connect to a variety of sources and destinations. It is designed to scale horizontally and is able to process a large volume of data quickly and reliably.
What is Elasticsearch? Answer: Elasticsearch is an open source, distributed search and analytics engine. It is built on Apache Lucene and is used for real-time data exploration and search. It provides a distributed and multitenant full-text search engine with support for structured and unstructured data. It is designed to scale horizontally and provides an API that exposes all its features. Elasticsearch is built to be distributed, meaning that it runs across multiple nodes in a cluster, allowing it to store and index large volumes of data quickly and reliably.