Equinix, Inc.

Mohan Navaratna

Brian James Lillie

Jaganathan Jeyapaul

Parveen Kumar

Vijaay Doraiswamy

Nathan Joseph Janken

Tsunyen Weng

In some examples, a customer churn risk engine is configured to query at least one of co-location data indicating co-location facility usage by a particular co-location facility customer and telemetry data indicating interconnections established between the particular co-location facility customer and at least one additional co-location facility customer within at least one co-location facility operated by a co-location facility provider. The customer churn risk engine is further configured to generate, based at least in part on at least one of the co-location data and the telemetry data, a churn risk score for the particular co-location facility customer. The customer churn risk engine is configured to output the churn risk score for the particular co-location facility customer.

Customer churn risk engine for a co-location facility

In some examples, a method includes querying, by a magnetic score engine executing at a computing device, first telemetry data indicating one or more interconnections established between a first co-location facility customer and at least one additional co-location facility customer within at least one co-location facility operated by a co-location facility provider. The method further includes generating, by the magnetic score engine and based at least in part on the first telemetry data, a magnetic score for the first co-location facility customer, the magnetic score indicating an importance of the first co-location facility customer to the least one additional co-location facility customer being co-located at the at least one co-location facility. The method further includes outputting, by the magnetic score engine and for display at a display device, the magnetic score for the first co-location facility customer.

Magnetic score engine for a co-location facility

At least one user is designated to manage assets including management delegations, access restrictions, and access permissions. Management responsibilities are applied based on business rules and based on a hierarchical model. The hierarchical model enables a well-defined logical flow of delegations and restrictions with pruning capability. User groups, asset groups, asset trees and asset permissions may be defined. The designated user can manage a single asset or all assets or a subset of assets. An asset may belong to one or more asset groups.

Delegated and restricted asset-based permissions management for co-location facilities

A logical customer organization model is applied to group the individual agreements into separate logical customer organizations, wherein the groupings can be region based groupings, organization groupings and departmental groupings. Unified login identification (ID) model is applied to enable a first user to login to a portal using a first login ID to access a first asset in a first asset group according to a first logical customer organization. The unified login ID model enables the first user to use the same first login ID to access a second asset in the first asset group according to the first logical customer organization. The unified login ID model also enables the first user to login to the portal using a second login ID to access one or more assets in a second asset group according to a second logical customer organization. Each of the first and second logical customer organization may be associated with one or more asset groups and one or more user groups.

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San Jose, CA, United States of America

Mohan Navaratna