Elastic Stack has achieved widespread adoption since it’s release in 2010. As a resilient and distributed application, it drives high level of understanding of data for mission-critical use cases such as: Application search Logging Security analytics Metrics analysis Operational analytics However, setting up infrastructure to run Elasticsearch means making big decisions up front about sizing and complexity. This whitepaper covers Elasticsearch-as-a-Service and how it allows you to instantly focus on your data to remove all the traditional infrastructure challenges normally associated with Elasticsearch clusters.
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