Novel tools and techniques are provided for implementing virtual machine (“VM”) management, and, more particularly, to methods, systems, and apparatuses for implementing VM management using hardware compression. In various embodiments, a computing system might identify one or more first virtual machines (“VM's”) among a plurality of VM's that are determined to be currently inactive and might identify one or more second VM's among the plurality of VM's that are determined to be currently active. The computing system might compress a virtual hard drive associated with each of the identified one or more first VM's that are determined to be currently inactive. The computing system might also perform or continue to perform one or more operations using each of the identified one or more second VM's that are determined to be currently active.

Systems, apparatuses, and methods related to a virtual machine register in a computer processor are described. For example, a memory coupled to the computer processor can store instructions of routines of predefined, non-hierarchical domains. The computer processor can store, in the virtual machine register, an identifier of a virtual machine for which the processor is currently executing instructions in a current domain in the set of domains. For example, the processor can implement resource restriction/mapping and/or perform address translation for the virtual machine based on the identifier stored in the virtual machine register.

The present disclosure provides a capacity reduction and capacity expansion control terminal, a computer-readable medium, and a capacity reduction and capacity expansion system for a cluster. A capacity reduction and capacity expansion method for a cluster includes: acquiring performance data of a target cluster; determining whether the target cluster needs capacity expansion or capacity reduction according to the performance data; when it is determined that the target cluster needs the capacity expansion, controlling a cloud platform to create a first virtual host, and adding the first virtual host to the target cluster; and when it is determined that the target cluster needs the capacity reduction, controlling the cloud platform to remove a second virtual host from the target cluster.

Provided are a method, apparatus, and device for generating a bare metal server Linux system image, and a memory medium. The method includes: analyzing a received bare metal server Linux system image generation request so as to obtain a target configuration parameter of a target bare metal server Linux system image to be generated and a target operating system model; selecting, from a redundant array of independent disks driver library, a target redundant array of independent disks driver that matches the target configuration parameter and the target operating system model; adding the target redundant array of independent disks driver to a boot file of a virtual machine to generate a target boot file; and exporting, from the virtual machine, a virtual machine disk image file containing the target boot file, as the target bare metal server Linux system image.

Examples of the present disclosure describe systems and methods for a behavioral threat detection engine. In examples, the behavioral threat detection engine manages execution of one or more virtual machines, wherein each virtual machine processes a rule in relation to a context. The behavioral threat detection engine uses any of a variety of techniques to identify when events occur. Accordingly, the behavioral threat detection engine provides event indications, in the form of event packets, to one or more virtual machines, such that corresponding rules are able to process the events accordingly. Eventually, a rule may make a determination as to the presence or absence of a behavior. As a result, execution of the associated virtual machine may be halted, thereby indicating to the behavioral threat detection engine that a determination has been made. Thus a behavioral threat detection engine employs a behavior-based approach to detecting malicious or potentially malicious behaviors.

Systems, devices, and methods are disclosed herein for containerized scalable storage applications. Methods may include instantiating an application instance based on a plurality of application instance parameters, the application instance being configured to utilize a plurality of storage volumes implemented in a storage cluster. Methods may also include enumerating a plurality of unattached storage volumes included in the cluster associated with the application instance, the plurality of unattached storage volumes having a plurality of underlying physical storage devices, and the plurality of unattached storage volumes being identified based on a plurality of application instance parameters. The methods may further include attaching at least some of the plurality of unattached storage volumes to the application instance, wherein the attaching enables the application instance to access data stored in the attached storage volumes.

An instruction to generate a cloud instantiation of a secondary storage system is provided. One or more secondary storage clusters are virtually rebuilt in the cloud instantiation of the secondary storage system. A new cloud instance of a user virtual machine is deployed based on at least a portion of data stored in the one or more rebuilt secondary storage clusters of the cloud instantiation of the secondary storage system. A version of at least the portion of the data of the one or more rebuilt secondary storage clusters is provided to a cloud deployment server.

The disclosed embodiments relate to virtual distributed ledger networks provisioning using distributed ledger technology. In one embodiment, a system is disclosed, comprising a hardware processor and a memory device storing instructions executable by the hardware processor to perform operations. The operations comprise creating one or more virtual machines, and executing a plurality of microservices via the one or more virtual machines. At least two of the plurality of microservices are associated with different distributed ledger technology networks. The plurality of microservices include an event routing manager microservice configured to receive a smart contract microservice request and to route events between microservices, a smart contract execution microservice configured to execute a smart contract associated with the smart contract microservice request, and a transaction resource manager microservice configured to commit an outcome of the smart contract execution microservice to a distributed ledger associated with one of the different distributed ledger technology networks.

A virtual machine management service obtains a request to instantiate a virtual machine image (VMI) to implement a virtual network function (VNF). The request specifies a set of processor requirements corresponding to instantiation of the VMI. In response to the request, the service identifies, from a server comprising a set of processor cores, available processor capacity. The service determines, based on the available processor capacity and the set of processor requirements, whether to instantiate the VMI on to a subset of processor cores of the server. Based on this determination, the service instantiates the VMI on to the subset of processor cores to implement the VNF.

One or more techniques and/or systems are disclosed for redeploying a baseline VM (BVM) to one or more child VMs (CVMs) by merely cloning virtual drives of the BVM, instead of the entirety of the parent BVM. A temporary directory is created in a datastore that has the target CVMs that are targeted for virtual drive replacement (e.g., are to be “re-baselined”). One or more replacement virtual drives (RVDs) are created in the temporary directory, where the RVDs comprise a clone of a virtual drive of the source BVM. The one or more RVDs are moved from the temporary directory to a directory of the target CVMs, replacing existing virtual drives of the target CVMs so that the target CVMs are thus re-baselined to the state of the parent BVM.