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    • Virtual Reality for Elasticsearch for Elasticsearch

Published by: Research Desk Released: Jun 11, 2019

Elastic Stack has achieved widespread adoption since its release in 2010. As a resilient and distributed application, it enables rapid data ingestion, indexing and visualization of enterprise data. Elastic stack drives high level of understanding of data for mission-critical use cases such as application search, logging, security analytics, metrics analysis, operational analytics,

as well as being used to build real-time, scalable data applications. However, setting up infrastructure to run Elasticsearch means making big decisions up front about sizing and architecture. With Elasticsearch Service (ESS), enterprise users

eliminate significant challenges and complexity, a.k.a. the muck in the infrastructure layer, such as compute, storage, network and more. ESS is implemented in a microservice architecture that abstracts that infrastructure, simplifying the start, scale and security for Elastic Stack.