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LXC is similar to other OS-level virtualization technologies on Linux such as OpenVZ and Linux-VServer, as well as those on other operating systems such as FreeBSD jails, AIX Workload Partitions and Solaris Containers. In contrast to OpenVZ, LXC works in the vanilla Linux kernel requiring no additional patches to be applied to the kernel sources.
OS-level virtualization is an operating system (OS) virtualization paradigm in which the kernel allows the existence of multiple isolated user space instances, including containers (LXC, Solaris Containers, AIX WPARs, HP-UX SRP Containers, Docker, Podman), zones (Solaris Containers), virtual private servers (), partitions, virtual environments (VEs), virtual kernels (DragonFly BSD), and jails ...
Docker debuted to the public in Santa Clara at PyCon in 2013. [47] It was released as open-source in March 2013. [20] At the time, it used LXC as its default execution environment. One year later, with the release of version 0.9, Docker replaced LXC with its own component, libcontainer, which was written in the Go programming language. [18] [48]
LXC: Community project, Canonical Ltd. x86, x86-64, IA-64, PowerPC 64, SPARC64, Itanium, ARM Same as host Linux Linux variants GPL version 2: OKL4 Microvisor: Open Kernel Labs, acquired by General Dynamics Corporation: ARM, x86, MIPS ARM (v5, v6, v7, v8; paravirtualization), ARMv7VE (hardware virtualization) No Host OS
A Kubernetes service is a set of pods that work together, such as one tier of a multi-tier application. The set of pods that constitute a service are defined by a label selector. [31] Kubernetes provides two modes of service discovery, using environment variables or using Kubernetes DNS. [58]
The first public build of Kubernetes is released on September 8, 2014. [7] When Kubernetes debuted, it offered a number of advantages over Docker, the most popular containerization platform at the time. The purpose of Kubernetes was to make it simple for users to deploy containerized applications across a sizable cluster of container hosts.
In software engineering, containerization is operating-system–level virtualization or application-level virtualization over multiple network resources so that software applications can run in isolated user spaces called containers in any cloud or non-cloud environment, regardless of type or vendor. [1]
OpenNebula is an open source cloud computing platform for managing heterogeneous data center, public cloud and edge computing infrastructure resources. OpenNebula manages on-premises and remote virtual infrastructure to build private, public, or hybrid implementations of infrastructure as a service (IaaS) and multi-tenant Kubernetes deployments.