In the past 10 years, there have been significant advances in cloud computing. Distributed computing is now the preferred computing model, while the client-server model is slowly being phased out. Kubernetes is an open-source platform that enables easy deployment and scaling of containerized applications in the cloud. It has become a very popular solution for businesses around the world. Many reputable companies use Amazon EKS for their apps. These include Amazon.com (obviously), HSBC, GoDaddy, Fidelity Investments, and Snap Inc, among myriad others. This container orchestration technology enables businesses to undertake maintenance and updates of their apps without service interruption.
What is AWS Kubernetes?
Kubernetes on AWS provides a powerful option for running containerized applications. Kubernetes, usually abbreviated as K8s, is a container orchestration system for the deployment and management of containerized applications. A container is a small virtual machine without device drivers and the standard components of a regular virtual machine. The popularity of containers now threatens to make virtual machines obsolete.
Imagine you want to install an Nginx web server on a Linux server. You could install it directly on the physical server’s operating system. Another alternative is to use virtual machines. However, setting up a virtual machine is labor-intensive and costly. The virtual machine will be underutilized because it will be dedicated to only one task.
The inventors of containers realized that most applications need minimal resources to run. In the example, you could make a stripped-down version of an operating system and install Nginx inside it to run it. You will therefore have a self-contained unit that can be installed anywhere.
AWS Kubernetes Architecture
A collection of containers is known as a pod. A pod is the smallest unit of execution in Kubernetes and runs on worker nodes. Let's briefly look at the architecture of Kubernetes to understand how Kubernetes operate.
Cluster: This is a set of hosts (servers) that helps pull together available resources like CPU, RAM, and disk storage into a usable pool.
Master: This is the most vital component of Kubernetes. It manages K8s clusters. The master is made up of components that constitute the control layer of Kubernetes. The components are API Server, Scheduler, Controller Manager, and ETCD. The API server handles all the REST commands that control the AWS Kubernetes cluster. The scheduler, as the name suggests, is responsible for scheduling tasks for the nodes. It stores resource usage information for all nodes and distributes the workload. The controller manager is the single binary that is made from all the controller functions. Lastly, the ETCD is a key-value store for all K8s cluster data.
Node: This is a worker machine capable of running containerized applications. The worker nodes are responsible for hosting pods which are the components of the application workload. Nodes can run on either physical or virtual machines. A node is made up of three components: the Kubelet, Kube-proxy, and container runtime. The Kubelet is an agent that ensures that the required containers are running in a K8s pod. The Kube proxy is a network proxy that allows communication and maintains network rules. Container runtime is the program that runs the containers.
Main Kubernetes AWS Features
Automatic Resource Bin Packing: This is a resource management feature of Kubernetes in AWS . Kubernetes automatically places containers in bins depending on the required resources with the aim of ensuring uninterrupted availability.
Service discovery: Pods have the same set of functions clustered together and are known as a service. Every pod is assigned an IP address and DNS name, allowing Kubernetes to communicate between pods.
Horizontal scaling: Kubernetes on AWS automatically increases or decreases the number of pod replicas serving a job depending on the workload. A controller monitors metrics such as CPU utilization and memory utilization and adjusts the number of pod copies accordingly.
Storage orchestration: Users can mount storage systems of their choice. The storage could be local or public.
Rollout and rollback: No business ever wants to have downtime. However, developers must continue updating the code of their applications. The rollout is the process of updating an application. Through rolling upgrades, Kubernetes incrementally replaces pod instances with new ones with zero downtime. Through rollback, the system can be deployed back to an earlier version. This prevents downtime in case of unexpected failures.
Health check and self-repair: If a containerized app or component goes down, Kubernetes with AWS automatically reloads them. Failed containers are automatically restarted while failed nodes are redistributed. Users can also perform health checks. In the case that containers do not respond to user-health checks, Kubernetes will stop the containers.
DevSecOps support: This advanced security approach automates container operations across the cloud. It ensures developers can deliver secure and high-quality apps within shorter time frames.
Why Run Kubernetes in AWS?
Setting up and running Kubernetes in AWS is not a trivial task. However, the benefits of running Kubernetes on AWS far outweigh the challenges. The following are the advantages of running Kubernetes over ECS for example:
Control over servers: Kubernetes in AWS will give you complete control over all your AWS Kubernetes occurrences.
Portability: Kubernetes with AWS can run anywhere, be it public cloud, private cloud, or bare metal servers.
Personal workload protection: If you have portions of a workload that are sensitive, you can run the portion in a private cloud on-premises, while any other work can be run on a public cloud.
Cost efficiency: Through automated scaling, Kubernetes ensures optimum resource optimization.
Open-source software: Kubernetes is open-source software. Thanks to its large and well-supported community, developers have access to many compatible tools.
Amazon Elastic Kubernetes Service (EKS) is a service that developers can use to run Kubernetes in AWS. This service takes away the heavy lifting of manually configuring EKS to run on AWS. Through this service, developers won't have to operate or maintain the Kubernetes on Amazon control plane or nodes. Amazon EKS ensures high availability by running and scaling the AWS Kubernetes control plane across a variety of AWS Availability Zones. It automatically spots and replaces unhealthy control plane instances and automatically provides automated version updates. Using the open-source tool eksctl, you can have Kubernetes running in EKS in a matter of minutes.
Here at Finout, we help our customers track the cost of these components, from pods to namespaces. We know that it can get messy out there in a multi-cloud landscape: because Kubernetes can run on any public cloud provider or on-premises system or apply a hybrid approach, it is possible to have different bills from different service providers for your clusters.