Abstract: An example method for facilitating virtual machines running in a container system includes determining, by a distributed storage management system, that a volume includes a disk image for providing virtual machines in a container system; copying, by the distributed storage management system and based on the determining that the volume includes the disk image, the volume to a plurality of nodes in the container system; and producing, by the distributed storage management system and based on the copying, a clone of the volume on a particular node of the plurality of nodes to start a virtual machine on the particular node.

Abstract: An illustrative method includes an application management system receiving a request to deploy an application within a compute environment associated with an entity; accessing deployment data associated with one or more other deployments of the application within one or more other compute environments associated with one or more other entities; and determining a set of configuration parameters for use with deployment of the application within the compute environment.

Abstract: An example method for intelligently scheduling backups in a container system comprises receiving, by a storage management system, a request for a backup of an application running on a container system; determining, by the storage management system and based on receiving the request, an application load level on the application and a system load level on the container system; and determining, by the storage management system and based on the application load level and the system load level, whether to initiate the backup.

Abstract: An example method for scheduling disruptions in a container system comprises determining, by an application management system, that a disruptive event is to be performed with respect to an application on a container system; accessing, by the application management system and based on the determining the disruptive event, historical usage data representative of historical usage of resources associated with the application; and determining, by the application management system and based on the historical usage data, an optimal time window for the disruptive event to be performed.

Abstract: An example method for automated elastic resource management of a container system by a storage system comprises providing, by a container storage management system, a volume for use by a containerized application of a container system, the volume deployed on a node of the container system; analyzing, by the container storage management system, input/output (I/O) operations to the volume based on historical I/O operations; and directing, by the container storage management system and based on the analyzing the I/O operations based on the historical I/O operations, the container system to adjust a capacity of a resource associated with the node.

Abstract: An example method for automated resource management in different environments for a container system by a storage management system includes providing, by a storage management system, a first storage resource for use in a test environment by an application on a container system, the first storage resource satisfying a first storage profile of a storage provision request; analyzing, by the storage management system, usage of the first storage resource by the application in the test environment; and providing, by the storage management system and based on the analyzing, a second storage resource that satisfies a second storage profile different from the first storage profile for use in a production environment by the application on the container system.

Abstract: An example method for dynamic throughput capacity resource management for a container system by a storage system comprises providing, by a container storage management system, a volume for use by a containerized application of a container system, the volume deployed on a node of the container system; determining, by the container storage management system, that the containerized application is consuming below a threshold level of resources; and reducing, by the container storage management system and based on the determining, a capacity of a resource associated with an input/output (I/O) throughput rate capacity to the volume.

Abstract: An example method includes tracking, by a storage management system, input/output (I/O) operations to a storage pool from a first application and a second application; determining, by the storage management system, that the storage pool has reached a threshold storage usage; and throttling, by the storage management system in response to the determining that the storage pool has reached the threshold storage usage, the first application and the second application differently based on the tracked I/O operations from the first application and the second application.

Abstract: The disclosed computer-implemented method for managing quality of service may include (i) installing, at a network protocol layer, a latency monitoring plug-in that monitors latency at the network protocol layer as distinct from a storage layer beneath the network protocol layer, (ii) providing, by the latency monitoring plug-in, feedback reporting the latency at the network protocol layer to a quality of service engine that monitors characteristics of the storage layer such that the quality of service engine learns about the latency at the network protocol layer, and (iii) adjusting, by the quality of service engine, a calculation of system capacity, based on both the feedback from the latency monitoring plug-in reporting the latency at the network protocol layer and the monitored characteristics of the storage layer to enable an application to adhere to a service level agreement. Various other methods, systems, and computer-readable media are also disclosed.