Abstract: A platform-as-a-service infrastructure and application lifecycle manager is configured to implement a common services model to deploy selected services from a common set of services to service domains hosted on multiple different cloud platforms by abstracting dependence on availability of various additional supporting services, such as services that are platform-specific. The platform-as-a-service infrastructure and application lifecycle manager may also manage a lifecycle of available services, such as managing upgrades and/or patches to services.

Abstract: Applications or Agents or Administrators can communicate with services and/or applications at hosted and/or remote locations via proxy service or application endpoints. Proxy Services described here may, in examples, manage the life cycle of communication channels, or tunnels to ensure guaranteed access to hosted services and applications regardless of their location. Examples of proxy services may create one or more tunnels, each in accordance with a particular tunneling protocol. The tunneling protocol used may be selected in accordance with a request, including information parameters—in this manner, proxy services described herein may be quite flexible in supporting tunneling connections to multiple and variable types of services and tunneling protocols.

Abstract: Non-transitory computer readable media are encoded with instructions which, when executed by one or more processors of a central computing system, cause the central computing system to connect with multiple service domains and determine that at least one service domain of the multiple service domains is eligible for upgrade. The instructions further cause the central computing system to store an upgrade package for the at least one service domain at a storage service separate from the central computing system and communicate access credentials to the storage service to the at least one service domain. The central computing system receives a communication from the at least one service domain indicative of upgrade status responsive to the at least one service domain having accessed the upgrade package at the storage service and updates a state management database based on the communication.

Abstract: A platform-as-a-service infrastructure and application lifecycle manager is configured to implement a common services model to deploy selected services from a common set of services to service domains hosted on multiple different cloud platforms by abstracting dependence on availability of various additional supporting services, such as services that are platform-specific. The platform-as-a-service infrastructure and application lifecycle manager may also manage a lifecycle of available services, such as managing upgrades and/or patches to services.

Abstract: A platform-as-a-service infrastructure and application lifecycle manager is configured to implement a common services model to deploy selected services from a common set of services to service domains hosted on multiple different cloud platforms by abstracting dependence on availability of various additional supporting services, such as services that are platform-specific. The platform-as-a-service infrastructure and application lifecycle manager may also manage a lifecycle of available services, such as managing upgrades and/or patches to services.

Abstract: Applications or Agents or Administrators can communicate with services and/or applications at hosted and/or remote locations via proxy service or application endpoints. Proxy Services described here may, in examples, manage the life cycle of communication channels, or tunnels to ensure guaranteed access to hosted services and applications regardless of their location. Examples of proxy services may create one or more tunnels, each in accordance with a particular tunneling protocol.

Abstract: A platform-as-a-service infrastructure and application lifecycle manager is configured to implement a common services model to deploy selected services from a common set of services to service domains hosted on multiple different cloud platforms by abstracting dependence on availability of various additional supporting services, such as services that are platform-specific. The platform-as-a-service infrastructure and application lifecycle manager may also manage a lifecycle of available services, such as managing upgrades and/or patches to services.

Abstract: Non-transitory computer readable media are encoded with instructions which, when executed by one or more processors of a central computing system, cause the central computing system to connect with multiple service domains and determine that at least one service domain of the multiple service domains is eligible for upgrade. The instructions further cause the central computing system to store an upgrade package for the at least one service domain at a storage service separate from the central computing system and communicate access credentials to the storage service to the at least one service domain. The central computing system receives a communication from the at least one service domain indicative of upgrade status responsive to the at least one service domain having accessed the upgrade package at the storage service and updates a state management database based on the communication.

Abstract: A platform-as-a-service (PaaS) manager abstracts deployment of PaaS software stacks to different computing platforms such that the PaaS software stacks provide a common platform to host an application despite differences in the underlying architectures of the computing platforms. Each PaaS software stack is hosted on a service domain installed on a respective one of the computing platforms, and includes an operating system and provides access to a set of services for execution of applications. The some examples, the different computing platforms include multiple different cloud architectures.

Abstract: Performance of a virtual machine system is improved by avoiding and/or eliminating bottlenecks in read and write operations. The system analyzes current virtualized workloads and provides working set estimates for individual VMs, hosts, and clusters. The working set estimate data is then utilized to make specific recommendations for different types of backend storage technologies. After procuring a storage device, the system provides a variety of information to aid in the operation of the system. From this information, the system can detect various scenarios and proactively make recommendations to the user about ways in which to improve storage performance at a host level and at a per-VM level. In some embodiments, these recommendations may be implemented automatically without user involvement.

Abstract: Example distributed caching systems and methods are described. In one implementation, a system has multiple host systems, each of which includes a cache resource that is accessed by one or more consumers. A management server is coupled to the multiple host systems and presents available cache resources and resources associated with available host systems to a user. The management server receives a user selection of at least one available cache resource and at least one host system. The selected host system is then configured to share the selected cache resource.

Abstract: Example distributed caching systems and methods are described. In one implementation, a system has multiple host systems, each of which includes a cache resource that is accessed by one or more consumers. A management server is coupled to the multiple host systems and presents available cache resources and resources associated with available host systems to a user. The management server receives a user selection of at least one available cache resource and at least one host system. The selected host system is then configured to share the selected cache resource.

Abstract: Example distributed caching systems and methods are described. In one implementation, a system has multiple host systems, each of which includes a cache resource that is accessed by one or more consumers. A management server is coupled to the multiple host systems and presents available cache resources and resources associated with available host systems to a user. The management server receives a user selection of at least one available cache resource and at least one host system. The selected host system is then configured to share the selected cache resource.

Abstract: Example distributed caching systems and methods are described. In one implementation, a system has multiple host systems, each of which includes a cache resource that is accessed by one or more consumers. A management server is coupled to the multiple host systems and presents available cache resources and resources associated with available host systems to a user. The management server receives a user selection of at least one available cache resource and at least one host system. The selected host system is then configured to share the selected cache resource.