Elasticsearch and Kibana on Ubuntu 22.04 - Search and Analytics Engine

This Elasticsearch image is provided & maintained by Cloud Infrastructure Services. Elasticsearch is a self hosted, powerful, open-source search and analytics engine designed for real-time data retrieval, monitoring, and analysis. Built on the Apache Lucene library, Elasticsearch offers full-text search capabilities and is widely used for log and event data, enabling quick insights across structured and unstructured data. Ideal solution for handling large data sets in distributed environments.

Kibana is the visualization tool for Elasticsearch, enabling users to interact with data through dashboards, charts, and real-time visualizations. Together, they form an essential data stack that allows for efficient log monitoring, data search, and analytics, making it ideal for organizations looking to derive insights from large datasets.

Elasticsearch & Kibana Features

Full-Text Search: Perform powerful, real-time full-text searches across structured and unstructured data with high precision and relevance.
Distributed Architecture: Elasticsearch’s distributed nature allows it to scale horizontally, making it suitable for large-scale deployments across multiple servers.
Near Real-Time Indexing and Querying: Quickly index and retrieve data, allowing users to gain real-time insights as data is ingested.
Data Visualization with Kibana: Use Kibana’s interactive dashboards and charts to explore and visualize Elasticsearch data.
Powerful Aggregations and Analytics: Use complex queries and aggregations to analyze data, generate visualizations, and uncover trends and patterns.
Built-in Machine Learning: Detect anomalies, run predictive analysis, and create advanced data models directly within Elasticsearch.
Geospatial Search: Perform advanced geolocation-based searches and map visualizations for location-aware applications.
Customizable Data Ingestion: Ingest and enrich data through pipelines with support for custom processors, making it easy to structure and clean data.
Security Features: Secure data access with user rolesand auditing to maintain data privacy and compliance.
JSON Document Storage: Elastic search uses a flexible, schema-less JSON format to store documents, allowing easy data indexing and storage.
Comprehensive API and SDKs: Elasticsearch offers RESTful APIs and SDKs for Java, Python, and more, enabling seamless integration with applications and custom development.

Use Cases for Running Elasticsearch on Azure

Real-Time Data Monitoring: Monitor and visualize data in real time, ideal for log management, cybersecurity, and operational intelligence.
Website Search: Add a scalable, full-text search engine to websites and applications, improving user experience with quick, relevant search results.
Business Intelligence: Use Elasticsearch to analyze customer data, purchase trends, and operational metrics to make informed business decisions.
Log and Event Data Analysis: Aggregate and analyze log and event data from multiple sources for incident detection and system performance monitoring.
Geospatial Data Analysis: Use Elasticsearch for advanced location-based searches and mapping applications, perfect for logistics and geolocation-based services.

This image is configured for self-hosting and does not include any managed or SaaS-level services. Elasticsearch serves as an alternative to other search and analytics platforms such as Apache Solr, OpenSearch and Algolia providing a highly flexible, scalable, and customizable solution for real-time search and data analysis.

Elasticsearch Documentation / Support

Getting started documentation and support from: Elasticsearch & Kibana on Azure

Disclaimer: Elasticsearch & Kibana are registered trademarks of Elasticsearch BV and is licensed under Elastic License 2.0 (ELv2). This image is provided & maintained by Cloud Infrastructure Services. This image is configured for self-hosting and does not include any managed or SaaS-level services. No warrantee of any kind, express or implied, is included with this software. Use at your risk.

Elasticsearch with Kibana

avtor: Cloud Infrastructure Services