To understand what Kubernetes are and how they function, you need to know the concept of containers.
In the modern development process, the application is broken down into smaller parts called containers. These containers are self-sufficient and can be used across applications. This gives developers a higher degree of control over the development process.
What is Kubernetes?
Kubernetes is an open-source container platform. It can be used to automate a number of manual processes involved in developing, deploying, scaling, and managing containerized applications.
In simpler words, Kubernetes lets you cluster together with the groups of hosts running Linux containers. You can then manage the clusters using Kubernetes instead of manually managing every individual container.
Who Developed Kubernetes?
Google was the company that originally developed and designed Kubernetes. Google was, in fact, one of the pioneers of Linux container technology and is also one of the biggest container users in the world. All of Google’s cloud services run on containers and they deploy more than 2 billion containers a week.
The predecessor to Kubernetes was Borg, Google’s internal container platform. The lessons learned from Borg were applied to make Kubernetes one of the leading container orchestration platforms on the internet.
Google donated Kubernetes to Cloud Native Computing Foundation in 2015.
The involvement of Google in the initial development of this technology means that Kubernetes security is the best among all of the container management platforms.
The Scope of Kubernetes
With Kubernetes, it is possible to make clusters of containers that span across on-premise, private, public, or hybrid clouds. This makes Kubernetes the best platform to develop Cloud-Native technologies that require rapid scaling and real-time data monitoring.
What is Possible With Kubernetes?
The main benefit of making Kubernetes a part of your environment is that it makes it possible for you to schedule and run containers on clusters of hardware or cloud resources. This makes it one of the best platforms to get the most out of cloud-based app development.
In the broader sense, Kubernetes helps you fully deploy a reliable container-based infrastructure in production environments.
Plus, as Kubernetes is focused on automation, you can get anything that any platform lets you do but for your containers as a whole. This helps you get the most out of automation.
Kubernetes also offers tools called Patterns. These Kubernetes patterns can be used as a runtime platform to create cloud-native apps.
The things that Kubernetes makes possible for you include:
- Operate and manage containers across multiple physical and virtual host machines.
- Optimize hardware resource usage by smartly managing the resource consumption of your apps.
- Have full control over the automation of application deployment and updates.
- Add and mount storage as and when needed for running stateful apps.
- Scale containerized apps and their resources from anywhere.
- Use the tools like auto-replacement, auto-restart, auto-replication, and auto-scaling to check and mitigate any health issues with your apps.
However, Kubernetes is not a standalone setup. It relies on other projects, services, and resources to provide these functions.
What Does Kubernetes Need To Run?
The main things needed by Kubernetes to operate the right way include but are not limited to:
- Registry, provided by services like Docker Registry.
- Networking that is made available by projects like OpenvSwitch and intelligent edge routing.
- Telemetry, generally provided by projects like Kibana, Hawkular, and Elastic.
- Security, made possible by the likes of LDAP, SELinux, RBAC, and OAUTH.
Before you go ahead and get your hands on Kubernetes, you need to have some Kubernetes vocabulary.
General Kubernetes Terms You Need to Know
Like any other technology, the specific language of Kubernetes can be a tricky thing to master. Here are some of the most commonly used terms that you need to know before you start using this platform.
- Control Plane is the place where the task assignment originates from. It is the collection of all the processes that command the Kubernetes nodes.
- Nodes are the machines that carry out the requested tasks, assigned to them by the control plane.
- Pod is a group of one or more containers that are assigned to a single node. All the containers within a pod have the same IP address, IPC, hostname, and other resources.
- Replication Controller is the part of Kubernetes that controls how many identical copies of a pod are allowed to run on a cluster at any given time.
- Service is meant to decouple work definitions from the pods. It is the job of the service proxies to transfer service requests to the right pod regardless of it moving anywhere on the cluster or even being replaced.
The Mechanism of Action of Kubernetes
A functional deployment of Kubernetes is known as a cluster. A cluster can be divided into two parts:
- The control plane, and
- The computing machines or nodes.
Kubernetes runs on top of the operating system like any other application. It interacts with the pods containing the containers while running on the nodes.
What Does the Control Plane Do?
The role of the control plane is to maintain the desired state of the cluster. This includes determining which applications are running and which container resources are being used. The applications and workloads are actually run by the computing machines (physical or virtual).
What Do the Nodes Do?
Each node has its own Linux environment and can either be a physical machine or a virtual one. Each node runs the pods assigned to it and the pods are made up of one or more containers.
The future of application development is all about automation. Kubernetes makes it possible to automate the execution and management of containers on a large scale.
As a result, you can get more done with less effort and the results are better than what you get by doing the same thing manually.
The best thing about Kubernetes is that it can run equally well on physical and virtual machines and can even work for hybrid cloud infrastructures.