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Bringing Scalability To Metadata Searching

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Dispersed data centers and the rising numbers of connected devices generate a huge amount of metadata, forcing companies to find a new way to store and search it to help them manage their infrastructure and detect security breaches.

CSP phoenixNAP has worked with Vizion.AI and Intel to launch the phoenixNAP Elasticsearch Service, a service that enables companies to easily deploy Elasticsearch to analyze data across their multi-cloud environment and to store data in cost-effective, scale-out object storage.

Check out this case study to learn 3 crucial results of this partnership and to see how implementing it leads to better scalability in metadata searching and storage.

Vendor:
VMware Intel
Posted:
Jan 8, 2021
Published:
Jan 8, 2021
Format:
PDF
Type:
Case Study

This resource is no longer available.