Abstract: In one example, a cloud-based services exchange comprises a plurality of interconnection assets configured to connect a customer of the cloud-based services exchange to one or more cloud service providers, the plurality of interconnection assets including a virtual circuit by which the customer accesses a cloud service from the one or more cloud service providers; and an orchestration engine configured to modify the plurality of interconnection assets.

Abstract: In one example, a cloud-based services exchange comprises a plurality of interconnection assets configured to connect a customer of the cloud-based services exchange to one or more cloud service providers, the plurality of interconnection assets including a virtual circuit by which the customer accesses a cloud service from the one or more cloud service providers; and an orchestration engine configured to modify the plurality of interconnection assets.

Abstract: A computing device requests access to an application object from a remote storage system in order to locally execute application functionality without hosting application resources. An accessed object is associated with an intent in the storage system and locked. Locking an object in combination with an intent prevents computing devices that are not performing the intent from accessing the object. An intent defines one or more operations to be performed with the requested object, which are serialized as intent steps and stored in the storage system. Upon executing an intent step, the computing device stores a log entry at the storage system signifying the step's completion. A locked object remains locked until the log entries indicate every intent step as complete. Different computing devices can unlock a locked object by executing any incomplete steps of an intent associated with the locked object.

Abstract: In one example, a cloud-based services exchange comprises a plurality of interconnection assets configured to connect a customer of the cloud-based services exchange to one or more cloud service providers, the plurality of interconnection assets including a virtual circuit by which the customer accesses a cloud service from the one or more cloud service providers; and an orchestration engine configured to modify the plurality of interconnection assets.

Abstract: In one example, a cloud-based services exchange comprises a plurality of interconnection assets configured to connect a customer of the cloud-based services exchange to one or more cloud service providers, the plurality of interconnection assets including a virtual circuit by which the customer accesses a cloud service from the one or more cloud service providers; and an orchestration engine configured to modify the plurality of interconnection assets.

Abstract: A storage account is replicated across multiple data centers so as to withstand an outage of the storage account. A front end and applications use data stored in the storage accounts to manage resources of a cloud computing system. A client includes an interface used by the front end to access the storage accounts, in addition to an interface that is used by the applications to access the storage accounts. Other features, which ensure that a read operation survives even if a head replica or a tail replica is down, include reading from a head replica instead of from a tail replica, a two phase prepare-commit operation to propagate changes from head to tail replicas, and provisioning a back end repair service if a failure occurs in the middle of the prepare-commit operation.

Abstract: In general, this disclosure describes techniques for coordinating, with a cloud exchange, automated cloud-based disaster recovery across containers from a failed cloud service to a backup cloud service. In some examples, an orchestration engine for a cloud exchange is configured to: detect an indication of a disruption in a first cloud service provided by a first cloud service provider network coupled to the cloud exchange to send and receive data packets via the cloud exchange; provision, in response to detecting the indication of the disruption in the first cloud service, disaster recovery infrastructure layers in containers of a second cloud service provided by a second cloud service provider network coupled to the cloud exchange; obtain code and state from containers of the first cloud service; and communicate the code and state to the disaster recovery infrastructure layers in the containers of the second cloud service.

Abstract: In one example, a cloud-based services exchange comprises a plurality of interconnection assets configured to connect a customer of the cloud-based services exchange to one or more cloud service providers, the plurality of interconnection assets including a virtual circuit by which the customer accesses a cloud service from the one or more cloud service providers; and an orchestration engine configured to modify the plurality of interconnection assets.

Abstract: 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.

Abstract: The present disclosure relates to system(s) and method(s) for deploying a data analytics model in a target environment. The system records a set of data pre-processing stages, associated with the data analytics model. The set of data pre-processing stages may comprise receiving raw data, executing a set of ETL functions on the raw data, and executing a set of algorithms on the raw data. Further, the system generates the data analytics model based on the set of algorithms. Furthermore, the system generates a scoring engine workflow, associated with the data analytics model, based on the set of data pre-processing stages. The scoring engine workflow comprises one or more ETL functions and one or more algorithms. Further, the system deploys the data analytics model and the scoring engine workflow in the target environment. The scoring engine workflow enables pre-processing of production data in the target environment.

Abstract: A computing device requests access to an application object from a remote storage system in order to locally execute application functionality without hosting application resources. An accessed object is associated with an intent in the storage system and locked. Locking an object in combination with an intent prevents computing devices that are not performing the intent from accessing the object. An intent defines one or more operations to be performed with the requested object, which are serialized as intent steps and stored in the storage system. Upon executing an intent step, the computing device stores a log entry at the storage system signifying the step's completion. A locked object remains locked until the log entries indicate every intent step as complete. Different computing devices can unlock a locked object by executing any incomplete steps of an intent associated with the locked object.

Abstract: In one example, a cloud-based services exchange comprises a plurality of interconnection assets configured to connect a customer of the cloud-based services exchange to one or more cloud service providers, the plurality of interconnection assets including a virtual circuit by which the customer accesses a cloud service from the one or more cloud service providers; and an orchestration engine configured to modify the plurality of interconnection assets.

Abstract: Various embodiments of methods and systems for network infrastructure configuration based on network device configuration templates are provided. A network device configuration template is received where the network device configuration template corresponds to network device configuration data based on template elements. Template elements include variable placeholders, versions, Stock Keeping Units (SKUs), firmware, and target devices identified in the network device configuration template. Values for the template elements are referenced from a dataset storage component. The network device configuration data are classified into different classification units. The network device configuration data are merged with the network device configuration template that programmatically defines configuration of network devices. A network device configuration instance is generated based on evaluating the template elements and replacing template elements with values from the dataset storage.

Abstract: A computing device requests access to an application object from a remote storage system in order to locally execute application functionality without hosting application resources. An accessed object is associated with an intent in the storage system and locked. Locking an object in combination with an intent prevents computing devices that are not performing the intent from accessing the object. An intent defines one or more operations to be performed with the requested object, which are serialized as intent steps and stored in the storage system. Upon executing an intent step, the computing device stores a log entry at the storage system signifying the step's completion. A locked object remains locked until the log entries indicate every intent step as complete. Different computing devices can unlock a locked object by executing any incomplete steps of an intent associated with the locked object.

Abstract: Methods and devices for data migration may include initially processing requests from a plurality of geographic regions for a cloud service using a global back-end service with a global storage account storing data. The methods and devices may include establishing a region back-end service with a region storage account in at least one geographic region of the plurality of geographic regions to support the cloud service for users in the at least one geographic region, wherein the region back-end service includes a region RTable. The methods and devices may include receiving, by the region back-end service, user requests for the cloud service from one or more users in the at least one geographic region and accessing, via the region RTable, one or more rows of data associated with the at least one geographic region from the global storage account in response to the user requests.

Abstract: In one example, a cloud exchange comprises an interconnection platform of a network data center to configure a plurality of interconnection assets of the network data center to interconnect customer networks of a plurality of customer networks co-located in the network data center, the interconnection platform comprising: a network event unit controller configured to receive an indication of a network event of an interconnection asset of the plurality of interconnection assets; generate, in response to the network device report message, one or more network event messages based on the network event, wherein each of the network event messages includes an indication of the network event; and send the one or more network event messages to one or more customer systems for respective customer networks of the plurality of customer networks, wherein the one or more customer systems are affected by the network event.

Abstract: 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.

Abstract: Embodiments include methods and apparatuses for providing at least one signaling indication of a super-channel by a power controller in a Wavelength Division Multiplexing (WDM) system. The power controller may receive a service provisioning and a lock state from a network management entity. The power controller may receive, from an optical fabric unit, a fabric state that indicates whether a pass-band of the super-channel is provisioned. The power controller may receive the power level of the super-channel from a power monitoring unit. Based on the power level and attenuation level of the super-channel, the power controller may determine a ramp state that indicates whether the power level reached to a predetermined power. The power controller may determine an alarm state based on the power level. The power controller may determine the signaling indication based on the service provisioning, lock, fabric, ramp, and alarm states.

Abstract: Techniques for hot swapping and hot scaling containers between cloud services are disclosed. In one example, a method includes storing, with a cloud exchange, data indicating an association of a first container of a first private network with a second container of a second private network, wherein the first private network and the second private network are coupled to the cloud exchange to send and receive data packets via the cloud exchange. The method further includes sending, with the cloud exchange based on the association, state of the first container to the second container.

Abstract: The present disclosure relates to system(s) and method(s) for deploying a data analytics model in a target environment. The system records a set of data pre-processing stages, associated with the data analytics model. The set of data pre-processing stages may comprise receiving raw data, executing a set of ETL functions on the raw data, and executing a set of algorithms on the raw data. Further, the system generates the data analytics model based on the set of algorithms. Furthermore, the system generates a scoring engine workflow, associated with the data analytics model, based on the set of data pre-processing stages. The scoring engine workflow comprises one or more ETL functions and one or more algorithms. Further, the system deploys the data analytics model and the scoring engine workflow in the target environment. The scoring engine workflow enables pre-processing of production data in the target environment.