Abstract: A heterogeneous database system allows users to interact with multiple databases. The heterogeneous database system uses a middleware that receives client request and processes them using the databases supported in the backend. The heterogeneous database system presents a uniform interface, for example, APIs to access multiple database that may have different architectures or may be provided by different vendors. The databases connected to the middleware in the backend may include relational databases, document databases, key-value stores, and so on. The middleware stores transaction logs that represent transactions across the multiple databases supported. The heterogeneous database system provides scalability as well as backward compatibility by supporting legacy database systems as backend databases while allowing newer database architectures to be added.

Abstract: Described embodiments provide systems and methods for intelligent load balancing of hosted sessions. A processor can determine a plurality of metrics for each of a plurality of machines configured to connect client devices with hosted sessions. The processor can receive, from a client device, a request to establish a connection with one of the plurality of machines to access a hosted session. The processor can determine a score for each of the plurality of machines based at least on the plurality of metrics for each of the plurality of machines. The processor can select a machine from the plurality of machines as a function of the score and a resource cost of the machine. The processor can cause the client device to connect to the selected machine for the hosted session.

Abstract: Aspects of a cloud service framework are described. In some examples, a noncompliance event is received. The noncompliance event is identified using parameters detected from a deployment of hardware resources and software resources provided by a cloud service according to a service level agreement (SLA). An application programming interface (API) associated with the noncompliance event is identified. The API is disabled by updating an API availability status. A request to invoke the API is received, and the API is prevented from being forwarded to a backend service that provides the API.

Abstract: Methods and systems for analysis of a plurality of channels that provide a remote desktop session are described herein. Channel metrics for each of a plurality of communication channels may be received. Each of the plurality of communication channels may be configured to deliver, to a computing device and via a network, different aspects of a remote desktop session. A plurality of channel scores may be determined for each communication channel of the plurality of communication channels. Based on the plurality of channel scores, an aggregate score may be determined. Based on the aggregate score satisfying a threshold, a notification may be transmitted. For example, an indication of one or more executable scripts predicted to improve a performance of one or more of the plurality of communication channels may be transmitted.

Abstract: Aspects of a cloud service framework are described. In some examples, a noncompliance event is received. The noncompliance event is identified using parameters detected from a deployment of hardware resources and software resources provided by a cloud service according to a service level agreement (SLA). An application programming interface (API) associated with the noncompliance event is identified. The API is disabled by updating an API availability status. A request to invoke the API is received, and the API is prevented from being forwarded to a backend service that provides the API.

Abstract: Methods and systems for analysis of a plurality of channels that provide a remote desktop session are described herein. Channel metrics for each of a plurality of communication channels may be received. Each of the plurality of communication channels may be configured to deliver, to a computing device and via a network, different aspects of a remote desktop session. A plurality of channel scores may be determined for each communication channel of the plurality of communication channels. Based on the plurality of channel scores, an aggregate score may be determined. Based on the aggregate score satisfying a threshold, a notification may be transmitted. For example, an indication of one or more executable scripts predicted to improve a performance of one or more of the plurality of communication channels may be transmitted.