Abstract: The disclosure provides a method for measuring network latency between hosts in a cluster. The method generally includes receiving, by a first host, a first ping list indicating the first host is to engage in a first ping round with a second host; executing the first ping round with the second host, wherein executing the first ping round comprises: transmitting first ping requests to the second host; calculating a network latency for each of the first ping requests; and determining a first average network latency between the first host and the second host based on each of the network latencies calculated; determining the first average network latency is above a threshold; determining a cause of the first average network latency being above the threshold; and selectively triggering or not triggering an alarm based on whether the cause is determined to be a hardware or software layer impact, or neither.

Abstract: The disclosure relates to processing application programming interface (API) requests. Embodiments include receiving, at an API wrapper, from a first caller, a first call to an API and sending the first call to the API. Embodiments include receiving, by the API wrapper, from one or more second callers, a second one or more calls to the API prior to receiving a response from the API to the first call. Embodiments include receiving, by the API wrapper, the response from the API to the first call and responding to the first call from the first caller with the response from the API to the first call. Embodiments include responding, by the API wrapper, to the second one or more calls from the one or more second callers with the response from the API to the first call without sending the second one or more calls to the API.

Abstract: The disclosure provides automated update notifications. Embodiments include receiving, by a cloud provider, a request to manage updates for a computing device communicating with the cloud provider via a network. Embodiments include registering an agent at the computing device with the cloud provider as a recipient for an automated update notification based on configuration details of the computing device and detection of an update item related to an aspect of the configuration details. Embodiments include identifying, by the agent, the configuration details of the computing device, the configuration details comprising details of a hardware configuration of the computing device and a software configuration of the computing device. Embodiments include monitoring one or more databases for the update item. Embodiments include transmitting the automated update notification to the agent based on detection of the update item in the one or more databases.

Abstract: Example methods and systems for request handling with automatic scheduling are described. In one example, a computer system may receive, from multiple client devices, respective multiple requests that are generated and sent according to a first set of control parameters. Based on the multiple requests, request characteristic(s) may be monitored to determine whether an automatic scheduling condition is satisfied. In response to determination that the automatic scheduling condition is satisfied, the computer system may assign a second set of control parameters to the respective client devices and instruct the client devices to generate and send respective multiple subsequent requests according to the second set of control parameters to cause a modification of the request characteristic(s).

Abstract: Described herein are systems, methods, and software to generate user interfaces to indicate software-defined storage information in view of available hardware resources. In one example, a user interface service may obtain enclosure information associated with enclosures in a computing environment and may determine a storage overview for the plurality of enclosures based on the enclosure information. The user interface service may further determine a function for each storage device in the storage overview in relation to a software-defined storage configuration for the computing environment and generate a user interface to indicate the storage overview with the function for each storage device in the plurality of enclosures.

Abstract: A troubleshooting technique provides faster and more efficient troubleshooting of issues in a distributed system, such as a distributed storage system provided by a virtualized computing environment. The distributed system includes a plurality of hosts arranged in a cluster. The troubleshooting technique uses cluster-wide correlation analysis to identify potential causes of a particular issue in the distributed system, and executes workflows to remedy the particular issue.

Abstract: The disclosure relates to processing application programming interface (API) requests. Embodiments include receiving, at an API wrapper, from a first caller, a first call to an API and sending the first call to the API. Embodiments include receiving, by the API wrapper, from one or more second callers, a second one or more calls to the API prior to receiving a response from the API to the first call. Embodiments include receiving, by the API wrapper, the response from the API to the first call and responding to the first call from the first caller with the response from the API to the first call. Embodiments include responding, by the API wrapper, to the second one or more calls from the one or more second callers with the response from the API to the first call without sending the second one or more calls to the API.

Abstract: A troubleshooting technique provides faster and more efficient troubleshooting of issues in a distributed system, such as a distributed storage system provided by a virtualized computing environment. The distributed system includes a plurality of hosts arranged in a cluster. The troubleshooting technique uses cluster-wide correlation analysis to identify potential causes of a particular issue in the distributed system, and executes workflows to remedy the particular issue.

Abstract: Described herein are systems, methods, and software to generate user interfaces to indicate software-defined storage information in view of available hardware resources. In one example, a user interface service may obtain enclosure information associated with enclosures in a computing environment and may determine a storage overview for the plurality of enclosures based on the enclosure information. The user interface service may further determine a function for each storage device in the storage overview in relation to a software-defined storage configuration for the computing environment and generate a user interface to indicate the storage overview with the function for each storage device in the plurality of enclosures.

Abstract: The disclosure provides automated update notifications. Embodiments include receiving, by a cloud provider, a request to manage updates for a computing device communicating with the cloud provider via a network. Embodiments include registering an agent at the computing device with the cloud provider as a recipient for an automated update notification based on configuration details of the computing device and detection of an update item related to an aspect of the configuration details. Embodiments include identifying, by the agent, the configuration details of the computing device, the configuration details comprising details of a hardware configuration of the computing device and a software configuration of the computing device. Embodiments include monitoring one or more databases for the update item. Embodiments include transmitting the automated update notification to the agent based on detection of the update item in the one or more databases.

Abstract: Example methods and systems for request handling with automatic scheduling are described. In one example, a computer system may receive, from multiple client devices, respective multiple requests that are generated and sent according to a first set of control parameters. Based on the multiple requests, request characteristic(s) may be monitored to determine whether an automatic scheduling condition is satisfied. In response to determination that the automatic scheduling condition is satisfied, the computer system may assign a second set of control parameters to the respective client devices and instruct the client devices to generate and send respective multiple subsequent requests according to the second set of control parameters to cause a modification of the request characteristic(s).

Abstract: Example methods and systems for request handling with automatic scheduling are described. In one example, a computer system may receive, from multiple client devices, respective multiple requests that are generated and sent according to a first set of control parameters. Based on the multiple requests, request characteristic(s) may be monitored to determine whether an automatic scheduling condition is satisfied. In response to determination that the automatic scheduling condition is satisfied, the computer system may assign a second set of control parameters to the respective client devices and instruct the client devices to generate and send respective multiple subsequent requests according to the second set of control parameters to cause a modification of the request characteristic(s).

Abstract: Described herein are systems, methods, and software to generate user interfaces to indicate software-defined storage information in view of available hardware resources. In one example, a user interface service may obtain enclosure information associated with enclosures in a computing environment and may determine a storage overview for the plurality of enclosures based on the enclosure information. The user interface service may further determine a function for each storage device in the storage overview in relation to a software-defined storage configuration for the computing environment and generate a user interface to indicate the storage overview with the function for each storage device in the plurality of enclosures.

Abstract: A decentralized method for generation and management of health monitoring related tasks in a hyperconverged infrastructure (HCl) environment is provided. The hosts in the HCl environment each include a health agent and a task manager. The health agent collects health results from health checks and stores the health results in a shared database that is shared by the hosts. The task manager generates a health monitoring related task in response to the health results being indicative of a change in health status, and stores the health monitoring related task in a task pool that is also shared by the hosts. Any of the hosts can obtain and execute the health monitoring related tasks in the task pool based on a task priority and load balancing criteria.

Abstract: A method for replicating a first virtual infrastructure of a customer includes receiving configuration data of the first virtual environment from a first management server of the first virtual infrastructure, replicating the first virtual infrastructure by creating a second virtual infrastructure with a hierarchy of the first virtual infrastructure in a virtual environment, applying a workload to the second virtual infrastructure, and detecting any error in the second virtual infrastructure.

Abstract: A method for replicating a first virtual storage system of a customer includes receiving periodically collected configuration data, workload data, service failure data, and management workflow data on the first virtual storage system, creating a first multi-dimensional array of observed variables based on periodically collected data, applying dimensionality reduction to the first multi-dimensional array to determine an artificial variable having a largest variance, determining a smaller, second multi-dimensional array that represents the first multi-dimensional array based on the artificial variable, and building a second virtual storage system to replicate the first virtual storage system based on the second multi-dimensional array.

Abstract: A method for replicating a first virtual infrastructure of a customer includes receiving configuration data of the first virtual environment from a first management server of the first virtual infrastructure, replicating the first virtual infrastructure by creating a second virtual infrastructure with a hierarchy of the first virtual infrastructure in a virtual environment, applying a workload to the second virtual infrastructure, and detecting any error in the second virtual infrastructure.

Abstract: A method for replicating a first virtual storage system of a customer includes receiving periodically collected configuration data, workload data, service failure data, and management workflow data on the first virtual storage system, creating a first multi-dimensional array of observed variables based on periodically collected data, applying dimensionality reduction to the first multi-dimensional array to determine an artificial variable having a largest variance, determining a smaller, second multi-dimensional array that represents the first multi-dimensional array based on the artificial variable, and building a second virtual storage system to replicate the first virtual storage system based on the second multi-dimensional array.