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Best Practices from the Trenches: Building Elasticsearch at Scale

Implementing Elasticsearch-as-a-service creates a flexible and scalable environment for analyzing a huge variety of log and telemetry data. Traditional infrastructure using direct-attached storage results in inefficient resource utilization and difficulty scaling.  Shared storage, on the other hand, enables agile and efficient as-a-service offerings.  Join us for best practices for running Elasticsearch at scale on FlashBlade and the benefits of Elasticsearch-as-a-service.   Learn how FlashBlade provides not only performance but the ease-of-use to match Elastic orchestration with Elastic Cloud Enterprise.

2020-08-12T09:00:00.000-04:00

Andy Nelson

Field Solutions Architect, Pure Storage
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