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What is Elasticsearch?

Elasticsearch is an open-source, distributed search and analytics engine based on the Apache Lucene library. It allows for quick and efficient searching and analysis of large volumes of data.

Elasticsearch is characterized by the following features:

• Search Engine: At its core, Elasticsearch is a powerful search engine suitable for various types of data, such as text, logs, geospatial data, and more.
• Scalability: Elasticsearch can scale horizontally by adding more servers, making it well-suited for handling large datasets.
• Near Real-Time Search: Search queries are answered in near real-time, allowing you to access up-to-date data at all times.
• Analysis Capabilities: In addition to search functionality, Elasticsearch offers analysis features. You can identify trends, uncover patterns, and gain valuable insights from your data.
• Easy Integration: Elasticsearch integrates well with existing systems and is easy to use thanks to its RESTful APIs.

In summary, Elasticsearch is a powerful tool for searching and analyzing large datasets. It provides high scalability, fast search queries, and analysis capabilities, making it a popular choice for various applications.

What are the requirements for running Elasticsearch on a server?

Elasticsearch has various technical requirements for the hardware and software of a server:

• CPU: Elasticsearch is CPU-intensive. The number of required cores depends on the size of the data index and the expected number of search queries.
• RAM: Elasticsearch requires sufficient RAM to keep the index in memory. The amount of RAM depends on the size of the data index.
• Storage: Elasticsearch stores data on hard drives. The type of storage (HDD or SSD) and the storage size depend on the amount of data to be stored and the desired performance.
• Operating System: Elasticsearch supports various Linux distributions and Windows.
• Java: Elasticsearch runs on the Java Virtual Machine (JVM).
• JVM Configuration: The JVM must be configured for optimal performance.
• Bandwidth: Elasticsearch requires sufficient network bandwidth for communication between servers and clients.
• Latenz: Low latency is essential to ensure fast searches.
• Swap Space: Elasticsearch should have sufficient swap space to offload memory if needed.
• Security Configuration: Elasticsearch should be securely configured for use in a production environment.

The following configuration is recommended for Elasticsearch:

• For small installations, a server with 4 CPU cores, 8 GB RAM, and 1 TB storage space is sufficient.
• For larger installations, you should allocate more CPU cores, RAM, and storage space.
• It is advisable to run Elasticsearch on SSDs to improve performance.

More information can be found in the official documentation at https://www.elastic.co/guide/en/cloud-enterprise/current/ece-hardware-prereq.html.