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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.
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