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It can schedule and run application containers on clusters of physical or virtual machines. Kubernetes is regarded as portable (public, private, hybrid and multi-cloud), extensible (modular, pluggable, hookable and composable) and self-healing (with auto-replacement, auto-restart, auto-replication and auto-scaling).
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The objective behind the development of Kubernetes is to provide developers a strong platform for automatic deployment, scaling and operation of application containers across clusters of hosts, providing container-centric infrastructure. Kubernetes is an open source container cluster manager designed by Google for managing containerised applications in a clustered environment. Although choosing among the great contributions is really difficult, here is a roundup of the most useful open source Docker tools for developers. Looking at recent trends, there have been many projects created by the Docker community that have advanced the developer experience. Docker allows IT departments to focus on applications, not virtual machines, as a standard unit of production. Projects built around, next to, and on the top of the core technology enhance its power and usability, and they often move the needle forward. The success of any software project is often measured by the ecosystem it spawns. This is possible given the spin up speed of Docker environments and its easy-to-use API, which we can use to spin containers programmatically.
![kitematic vmware kitematic vmware](https://images2015.cnblogs.com/blog/27612/201601/27612-20160125180651754-407850234.png)
Containers reuse components from the preceding layers, which makes them noticeably lightweight. Version control and component reuse: Users can track successive versions of a container, inspect differences, or roll back to previous versions.This container can be transferred to another machine that runs Docker, and executed there without compatibility issues. Portability across machines: An application and all its dependencies can be bundled into a single container that is independent from the host version of the Linux kernel, platform distribution or deployment model.Rapid application deployment: Containers include the minimal runtime requirements of the application, which reduces their size and allows them to be deployed quickly.Developer friendly: Docker provides a developer-friendly environment via a low memory capacity and allows easy running of dozens of services.Docker gives the user freedom to run applications across multiple IaaS/PaaS solutions without any tweaks. It lets the user put environment and configuration into code for deployment to be done. Docker, however, offers the same capability without the overhead of a virtual machine. VMs, too, can run on any platform with their own config on top of the infrastructure. Simple configuration: Docker provides simple configuration.Docker technology has seen consistent and rapid adoption in key enterprises like Microsoft, Google, etc, because of a number of advantages, which are listed below. It is gaining a lot of traction in the development and DevOps worlds for its consistency across environments.
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This guarantees that it will always run the same, regardless of the environment it is running in.”ĭocker can be integrated into various infrastructure tools, including Amazon Web Services, Ansible, CFEngine, Chef, Google Cloud Platform, IBM Bluemix, Jelastic, Jenkins, Microsoft Azure, OpenStack Nova, OpenSVC, HPE Helion Stackato, Puppet, Salt, Vagrant and VMware vSphere integrated containers.Ĭurrently, Docker is regarded as the hottest open source project that allows users to deploy applications inside containers, adding a layer of abstraction. Docker is an open source project that automates the deployment of Linux applications inside software containers.Īs per the official website,, “Docker containers wrap up a piece of software in a complete file system that contains everything it needs to run: code, runtime, system tools, system libraries - anything you can install on a server.