What’s behind the rise and rise of containers? – Developer Tech News

The development and success of open source application container technologies, particularly Docker and Kubernetes, are having a transformative effect on application development in today’s software-centric organizations. The key to their success is the inherent flexibility and efficiency they add to the software application development process.

Among their many benefits, application containers are not only lightweight but offer extremely fast provisioning, often on the order of milliseconds. They also provide an alternative to widely used virtual machine technologies that can consume a lot of system resources and can suffer from slow boot times.

Additionally, containers allow organizations to build and operate large-scale infrastructure by maximizing the number of applications running on a minimal volume of servers. Not only does this help meet the needs of today’s fast-growing and agile businesses, but on a practical level, it delivers high performance to multiple users in a timely and efficient manner, even when demand fluctuates in different parts. of an application.

The impact of all these benefits is that the adoption of Kubernetes, for example, has exploded. According to data published At the end of last year, its use among development teams grew from 27% in 2018 to 48% in 2020. Since the technology is less than a decade old, its adoption remains in the early stages of growth, and its use will increase . more in a wide variety of organizations and use cases.

Docker vs. Kubernetes

Containers are portable and lightweight alternatives to virtual machines, and Docker is a containerization platform that has become the most popular technology of its kind in the world. However, if used alone, it is not sufficient for managing containerized applications.

Kubernetes, a name that originates from the Greek for pilot or helmsman (or “’k8s’ for short) is an open source platform that automates container operations. It is one of the fastest growing container technologies and is frequently used in conjunction with Docker to address the challenges associated with container management and orchestration.

Developers value Kubernetes because it significantly improves their ability to configure, deploy, manage, and monitor their containerized applications, at any scale. Additionally, it helps manage application and container lifecycles along with common administrative priorities, including high availability and load balancing.

Five Key Components of Kubernetes

To better understand how Kubernetes works, it’s helpful to take a look at five of its key components, starting with the nodes:

  1. Nodes

Kubernetes helps you easily and efficiently manage clusters across groups of hosts (which can be dedicated servers or virtual machines) running the Kubernetes ‘master node’ (the control plane) and the Kubernetes worker nodes (the workers who the containers run). This now also includes Windows-based worker nodes that run Windows containers, as well as Linux-based worker nodes that run Linux containers.

A Kubernetes node is typically a host with worker or master node functionality. The main node runs processes such as the Kubernetes APIs (that is, for kubectl, the native command line interface for Kubernetes), while the worker nodes run the application containers, including the container runtime.

  1. Pods

A Kubernetes pod is one or more containers that run together, each of which has its own IP addresses and a domain name for when there is a set of pods.

  1. Services

A Kubernetes service is a way to expose an application running in a set of pods as a network service. Pods come and go and therefore sometimes have a short shelf life. The services help the other pods figure out and keep track of which pods IP addresses to connect to.

  1. Operators

Operators serve as Kubernetes API clients, control custom resources, and enable automation of tasks such as deployments, backups, and updates by viewing events without editing Kubernetes code. The key attribute of an operator is the active and continuous management of the application and includes failover, backups, updates and automatic scaling. Operators offer a self-management experience with knowledge crafted by experts.

  1. Mysteries

And finally, a Kubernetes secret is a Kubernetes object that stores sensitive information, such as an OAuth token or an SSH key. This ensures that the information is only accessible when necessary.

For organizations that adopt Kubernetes to run on their cloud infrastructure, some service providers offer self-installing nodes on native dedicated servers or virtual machines. Installing a Kubernetes cluster is made easy by using deployment tools such as kubeadm, while Kubernetes.io The website offers information covering best management practices, among many other resources.

Tags: containers, stevedore, kubernetes

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