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Docker, a project automating the deployment of applications inside software containers; Apache Mesos, a large-scale cluster management platform based on container isolation; Operating system-level virtualization implementations; Proxmox Virtual Environment, an open-source server virtualization management platform supporting LXC containers and KVM
Proxmox Virtual Environment (Proxmox VE or PVE) is a virtualization platform designed for the provisioning of hyper-converged infrastructure. Proxmox allows deployment and management of virtual machines and containers. [7] [8] It is based on a modified Debian LTS kernel. [9]
Container Linux provides no package manager as a way for distributing payload applications, requiring instead all applications to run inside their containers. Serving as a single control host, a Container Linux instance uses the underlying operating-system-level virtualization features of the Linux kernel to create and configure multiple containers that perform as isolated Linux systems.
Command line: no limit Microsoft Hyper-V Server 2008 R2 [49] 64 cores / 8 CPUs [50] 1 TB No limit 384 4 64 GB 4 IDE; 256 SCSI 2 TB Microsoft Hyper-V Server 2012 [51] 320 cores / 64 CPUs [52] 4 TB No limit 1024 64 1 TB 4 IDE; 256 SCSI 64 TB Microsoft Hyper-V Server 2016 [53] 512 cores / 320 CPUs 24 TB No limit 1024 240 12 TB 4 IDE; 256 SCSI 64 ...
Software: The Docker daemon, called dockerd, is a persistent process that manages Docker containers and handles container objects. The daemon listens for requests sent via the Docker Engine API. [22] [23] The Docker client program, called docker, provides a command-line interface (CLI) that allows users to interact with Docker daemons. [22] [24]
Support for command history means that a user can recall a previous command into the command-line editor and edit it before issuing the potentially modified command. Shells that support completion may also be able to directly complete the command from the command history given a partial/initial part of the previous command.
Container clusters need to be managed. This includes functionality to create a cluster, to upgrade the software or repair it, balance the load between existing instances, scale by starting or stopping instances to adapt to the number of users, to log activities and monitor produced logs or the application itself by querying sensors.
The CPU scheduler in OpenVZ is a two-level implementation of fair-share scheduling strategy.On the first level, the scheduler decides which container it is to give the CPU time slice to, based on per-container cpuunits values. On the second level the standard Linux scheduler decides which process to run in that container, using standard Linux ...