Docker is a trivial containerization methodology that has gained an extensive reputation in the cloud and application packaging world. It is an open source technology that automates the deployment of applications in portable lightweight and containers.
It uses a different number of the Linux kernel’s features such as groups, AppArmor profiles, namespaces, and so on, to sandbox procedures into configurable virtual atmospheres.
However the idea of container virtualization is not new, it has been receiving consideration lately with bigwigs like Microsoft, Red Hat, VMware, SaltStack, HP, IBM, etc, throwing their weight behind newcomer Docker. Start-ups are betting their fortunes on Docker as well. CoreOS, Drone.io, and Shippable are some of the start-ups that are modeled to provide services based upon Docker. Red Hat has already included it as a primarily supported container format for Red Hat Enterprise Linux 7.
The main features driving Docker’s popularity are its ease of use, speed, and the fact that it is largely free of cost. In performance, it is even said to be comparable with KVM. A container-based approach, in which applications can run in isolation and without relying on a separate operating system, can really save huge amounts of hardware resources.
Business experts have started seeing at it as hardware multi-tenancy for software and applications. Instead of having hundreds of VMs running per server, what if it were possible to have thousands of hardware-isolated applications? Docker is generally used to running software suites called “containers”.
A container is a consistent unit of software that bundles up the code and all its dependencies so the application performs quickly and consistently from one computing atmosphere to another.
Containers are the “fastest growing cloud-enabling technology” because they speed up the delivery of software and cut the cost of operating it. Writing software is faster. Deploying it is easier — in your data center or your preferred cloud. And running it requires less hardware and support.
Although container methodology has been there for decades, Docker makes it work for the organization with core structures enterprises need in a container platform and best-practice services to make sure success. And containers work on both new development and legacy applications. Existing, mission-critical applications can be “containerized,” often with little or no change.
The result is quick savings in infrastructure, massive security, and decreased labor. And new development occurs faster because engineers only target one platform instead of a number of servers and clouds. Less code to write. Less testing. Faster delivery.
Let’s talk about Swarmkit a bit.
Swarmkit is a plumbing open source project. It is a toolkit for orchestrating distributed systems at any scale. It contains primitives for raft-based consensus, node discovery, task scheduling and many more.
Its main benefits are:
Distributed: SwarmKit practices the Raft Consensus Algorithm in mandate to coordinate and does not depend on a single point of disappointment to perform decisions.
Secure: Node connections, communications, and membership within a Swarm are secure out of the box. SwarmKit practices mutual TLS for node verification, role approval, and transport encryption, automating both certificate issuance and rotation.
Simple: SwarmKit is easy to use and reduces infrastructure dependencies. It does not require an external database to perform. SwarmKit is totally built in go and leverages a standard project architect to work well with Go tooling.