This product has charges associated with it for support & maintenance. Self-Hosted Search & Analytics Engine. Real-time data retrieval, monitoring, and analysis.
This is a repackaged open source software product wherein additional charges apply for support & maintenance.
Elasticsearch and Kibana on Ubuntu 24.04 - Search and Analytics Engine
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: Elasticsearchs 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 Kibanas 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 AWS
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.
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, responsibility for damages (if any) to anyone resulting from the use of this software rest entirely with the user. The author is not responsible for any damage that its use could cause.
Highlights
Real-Time Data Monitoring: Monitor and visualize data in real time, ideal for log management, cybersecurity, and operational intelligence.
Log and Event Data Analysis: Aggregate and analyze log and event data from multiple sources for incident detection and system performance monitoring.
Kibana is the visualization tool for Elasticsearch, enabling users to interact with data through dashboards, charts, and real-time visualizations.
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Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
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You pay by the hour for this self-hosted Elasticsearch and Kibana image running on Ubuntu 24.04. The many dimensions are all AWS EC2 instance types, not feature tiers. Each option pairs the same software with a different instance size and family. Smaller instances like t3.nano suit light workloads. Larger instances like the metal and multi-terabyte u7i types handle heavier data and query loads. Your hourly rate scales with the compute, memory, and networking of the instance you pick. You choose the instance that matches your workload, and billing follows actual running hours.
Top-of-mind questions for buyers
What do the hourly rates cover, and what is not included in this software charge?
The hourly rate covers the self-hosted Elasticsearch and Kibana image on Ubuntu 24.04. It does not include managed or SaaS-level services. AWS charges for the underlying EC2 compute, storage, and networking apply separately. You configure security, TLS, and firewall rules yourself after deployment.
Am I charged the hourly rate when the instance is stopped?
The software charge meters running hours only. A fully stopped instance does not accrue the hourly software fee. However, AWS may still bill you for attached storage and other resources tied to the stopped instance. Billing follows the actual hours your chosen instance runs.
Does picking a larger instance type add features, or just more compute?
Each instance type runs the same Elasticsearch and Kibana software. Larger types add compute, memory, and networking capacity, not extra features. Your hourly rate scales with the instance size and family you select. Choose the type that fits your data volume and query load.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
New OS patches available. Simply run 'sudo apt update' to install the latest OS patches.
Additional details
Usage instructions
Login via SSH into the EC2 instance with username: ubuntu
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This product has charges associated with the provision and deployment of the application and AMI support. This server offers a comprehensive logging and analytics solution powered by the Elasticsearch, Kibana, Logstash, and Filebeat often referred to as the ELK Stack with Filebeat.
This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour and USD 870/yr.
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