Abstract: The present disclosure relates generally to techniques for processing asynchronous queries across multiple data cores including secondary data cores stored in the secondary storage system in a distributed computing system. Data from secondary data cores are recovered to new data cores generated in the data plane in order to be accessible for searching. Using this technique, asynchronous queries are run in parallel allowing the client to dynamically manage the queries and receive notifications when results are available.

Abstract: The present disclosure relates to using maintenance mode to upgrade a distributed system. One method includes determining that a first host of a cluster of a software-defined datacenter (SDDC) is to be upgraded as a part of a rolling upgrade of the hosts of the cluster, wherein the first host is executing a process instance of a cluster store, demoting the process instance to a proxy, creating a replica of the process instance using a different proxy on a second host of the cluster, instructing the first host to enter a maintenance mode, upgrading the first host, and instructing the first host to leave the maintenance mode.

Abstract: A method for maintaining fault tolerance in a storage cluster is provided. Embodiments include receiving, by a management component associated with a distributed data store on a cluster of host machines, a request to place a first host machine of the cluster of host machines in a maintenance mode, wherein the first host machine stores given data of the distributed data store. Embodiments include determining whether a second host machine that does not currently store any data of the distributed data store exists in the cluster of host machines. Embodiments include determining, based on whether the second host machine exists in the cluster of host machines, whether to transfer the given data of the distributed data store from the first host machine to the second host machine. Embodiments include initiating the maintenance mode on the first host machine.

Abstract: The present disclosure relates generally to techniques for processing asynchronous queries across multiple data cores including secondary data cores stored in the secondary storage system in a distributed computing system. Secondary data cores are recovered in the data plane from secondary storage in order to be accessible for searching. Using this technique, asynchronous queries are run in parallel allowing the client to dynamically manage the queries and receive notifications when results are available.

Abstract: The present disclosure relates to health measurement and remediation of distributed systems upgrades. One method includes communicating a request for a health status to a cluster store provided by a cluster of hosts of a software-defined datacenter, wherein the cluster store includes a plurality of process instances undergoing a rolling upgrade, receiving a health status indication in response to the request, the health status indication determined based on a determination of whether the cluster store is available and a determination of whether the cluster store is operational, and taking a remediation action in response to the health status indication exceeding a threshold.

Abstract: A method for maintaining fault tolerance in a storage cluster is provided. Embodiments include receiving, by a management component associated with a distributed data store on a cluster of host machines, a request to place a first host machine of the cluster of host machines in a maintenance mode, wherein the first host machine stores given data of the distributed data store. Embodiments include determining whether a second host machine that does not currently store any data of the distributed data store exists in the cluster of host machines. Embodiments include determining, based on whether the second host machine exists in the cluster of host machines, whether to transfer the given data of the distributed data store from the first host machine to the second host machine. Embodiments include initiating the maintenance mode on the first host machine.

Abstract: An example method of deploying a virtual machine (VM) in a software-defined data center (SDDC) includes: receiving a VM specification for the VM at an elastic control plane executing in a cluster of hosts having a virtualization layer; composing, by the elastic control plane in response to the VM specification, logical resources of the cluster managed by the virtualization layer; composing, by the elastic control plane, physical resources of the SDDC to add new hardware to the cluster; expanding, by the elastic control plane, the logical resources with new logical resources managed by the virtualization layer and backed by the new hardware; and deploying, by the elastic control plane, the VM in a virtual environment composed from the logical resources as expanded.

Abstract: A method for maintaining fault tolerance in a storage cluster is provided. Embodiments include receiving, by a management component associated with a distributed data store on a cluster of host machines, a request to place a first host machine of the cluster of host machines in a maintenance mode, wherein the first host machine stores given data of the distributed data store. Embodiments include determining whether a second host machine that does not currently store any data of the distributed data store exists in the cluster of host machines. Embodiments include determining, based on whether the second host machine exists in the cluster of host machines, whether to transfer the given data of the distributed data store from the first host machine to the second host machine. Embodiments include initiating the maintenance mode on the first host machine.

Abstract: The present disclosure relates to querying data cores for data items that correspond to a specified time range. Probabilistic data structures corresponding to associated data cores are used to filter the plurality of data cores to identify a subset of data cores that contain data items corresponding to the specified time range. Only the subset of the plurality of data cores determined to contain relevant data items are searched.

Abstract: The present disclosure relates to health measurement and remediation of distributed systems upgrades. One method includes communicating a request for a health status to a cluster store provided by a cluster of hosts of a software-defined datacenter, wherein the cluster store includes a plurality of process instances undergoing a rolling upgrade, receiving a health status indication in response to the request, the health status indication determined based on a determination of whether the cluster store is available and a determination of whether the cluster store is operational, and taking a remediation action in response to the health status indication exceeding a threshold.

Abstract: The present disclosure relates to using maintenance mode to upgrade a distributed system. One method includes determining that a first host of a cluster of a software-defined datacenter (SDDC) is to be upgraded as a part of a rolling upgrade of the hosts of the cluster, wherein the first host is executing a process instance of a cluster store, demoting the process instance to a proxy, creating a replica of the process instance using a different proxy on a second host of the cluster, instructing the first host to enter a maintenance mode, upgrading the first host, and instructing the first host to leave the maintenance mode.

Abstract: The present disclosure relates to using maintenance mode to upgrade a distributed system. One method includes determining that a first host of a cluster of a software-defined datacenter (SDDC) is to be upgraded as a part of a rolling upgrade of the hosts of the cluster, wherein the first host is executing a process instance of a cluster store, demoting the process instance to a proxy, creating a replica of the process instance using a different proxy on a second host of the cluster, instructing the first host to enter a maintenance mode, upgrading the first host, and instructing the first host to leave the maintenance mode.

Abstract: The present disclosure relates generally to techniques for processing asynchronous queries across multiple data cores including secondary data cores stored in the secondary storage system in a distributed computing system. Secondary data cores are recovered in the data plane from secondary storage in order to be accessible for searching. Using this technique, asynchronous queries are run in parallel allowing the client to dynamically manage the queries and receive notifications when results are available.

Abstract: The present disclosure relates generally to techniques for processing asynchronous queries across multiple data cores including secondary data cores stored in the secondary storage system in a distributed computing system. Secondary data cores are recovered in the data plane from secondary storage in order to be accessible for searching. Using this technique, asynchronous queries are run in parallel allowing the client to dynamically manage the queries and receive notifications when results are available.

Abstract: The present disclosure relates to querying data cores for data items that correspond to a specified time range. Probabilistic data structures corresponding to associated data cores are used to filter the plurality of data cores to identify a subset of data cores that contain data items corresponding to the specified time range. Only the subset of the plurality of data cores determined to contain relevant data items are searched.

Abstract: The present disclosure relates to querying data cores for data items that correspond to a specified time range. Probabilistic data structures corresponding to associated data cores are used to filter the plurality of data cores to identify a subset of data cores that contain data items corresponding to the specified time range. Only the subset of the plurality of data cores determined to contain relevant data items are searched.

Abstract: The present disclosure relates generally to techniques for processing asynchronous queries across multiple data cores including secondary data cores stored in the secondary storage system in a distributed computing system. Secondary data cores are recovered in the data plane from secondary storage in order to be accessible for searching. Using this technique, asynchronous queries are run in parallel allowing the client to dynamically manage the queries and receive notifications when results are available.

Abstract: The present disclosure relates to querying data cores for data items that correspond to a specified time range. Probabilistic data structures corresponding to associated data cores are used to filter the plurality of data cores to identify a subset of data cores that contain data items corresponding to the specified time range. Only the subset of the plurality of data cores determined to contain relevant data items are searched.

Abstract: Exemplary embodiments provide systems and methods for connecting services, including web services, using intermediate data exchange objects to create composition services. Data exchange objects may be service independent objects that represent the inputs and/or outputs of various services. The systems and methods may employ data exchange objects to determine whether two services are composable and to implement and execute composite services according to the data exchange objects.

Abstract: The subject embodiments provide a method such as a web service method. The method is used to execute two or more web services that have respective web user interfaces, and are operationally independent of each other. The method comprises: (i) executing the two or more web services under manual operation of a user; (ii) recording a script based on activities of the user in the execution; (iii) securing the recorded script; and (iv) executing the two or more web services by playing said secured script without individually executing them. The method is user friendly; highly customizable; and safe with respect to document retrieval and submission.