Why Kubernetes on AWS is An Icing on the Cake for Deployment Ease
Kubernetes is one big revolution that has won immense appreciation, not just from the developer
fraternity, but also from the large-scale technical business enterprises – given its ease of use
and scalability features. It is proving its effectiveness with every passing day – challenging the existing systems supported for deployment.
Being an open-source software and allowing a brilliant deployment with containerization of
applications and scalability ease, Kubernetes has potentially challenged the docker system. As it effectively manages the clusters in Amazon EC2, the advantages are multiplied – bringing
double the delight for the development teams.
How Kubernetes Works on AWS
Kubernetes is open-source software and hence, enables the running of containerized
applications without an actual need for altering the operational tools or architecture. The added
features in AWS made it all the more favorable to run Kubernetes by inducing automation and
integrating it with services such as VPC, IAM as well as service discovery. On top of these, the
advantages are reflected through higher security, scalability and ready availability of extended AWS
Also popularly termed as Amazon Elastic Kubernetes Service (Amazon EKS), Amazon EWS is
a certified associate that empowers the deployment through various plugin tools as well as
different zone environments.
Some Top Benefits of Kubernetes on AWS
Reduces the Need for Infrastructure Support
Amazon EKS runs on the infrastructure of Kubernetes and hence, doesn’t demand any
additional infrastructure support or needs. It works through the plane nodes providing fully
automated endpoints. It also governs on-demand patching and upgrades.
Provides Super Enhanced Security
It runs through highly secure and encrypted communication channels, and easily and
automatically settles with the worker nodes. This adds a lot of safety and security for any
application that runs on Amazon EKS.
This is one of the most lauded combinations among the developer community. The community
is always available for any support or guidance to the users. There is an active contribution of
the community members towards the experiences and case studies of usage that serve as
active guides for new users.
Offers High-End Compatibility
EKS works through the upstream Kubernetes. Given its certifications, it fits into any Kubernetes
environment, without asking for any customizations. The applications under EKS are managed
by different standards of Kubernetes adding a smooth transition overall.
Falls in Budget for All Businesses
The entire combination is most available on discounts. The clusters turn out highly cost-effective
for businesses. The costs are lessened because of the on-demand reserved instances
included. There is a spot mixing of instances happening that together brings down the operational
Control over Servers
This is one prime advantage of using AWS – you have complete command over all your
instances. This does not happen in the case of several other cloud providers.
The Most Popular Use Cases of Kubernetes on AWS
Migration of the Application
The containerization and migration of existing applications into the AWS setting removes the compulsion for refactoring or alterations in the tooling.
Processing in Batch
You can efficiently and effortlessly run several processes simultaneously without hiccups. The
workloads convert and get simplified automatically, saving time and enhancing the speed of
Microservices with even the deepest of integrations run without complexities in this setting.
While using it, you get complete access to a suite of Kubernetes features and functionality.
There is abundance in tooling as well.
Deployment in Hybrid Containers
You can pick up any scalable clusters on AWS while keeping up the compatibility of the
application. This is most convenient and faster than any other platform.
Some Supported Production Grade Tools
This serves as an open-source installer. It creates clusters through native AWS integration.
This is a production-grade K8s installer, called tectonic installer. It works by creating clusters on
This is again an open-source cluster lifecycle management tool that creates, upgrades and
manages the Kubernetes clusters.
Managing Clusters under Kubernetes on AWS
This mainly contains the task of adding and removing nodes that are not supported. The nodes are manually adjusted through the properties of Max and Desired. It comes with an auto-scaling group as well which gets created through installation.
What you need for Effectively running Kubernetes on AWS
- Clear knowledge of cloud computing, especially around TCP and IP.
- A computer system that has high-end connectivity.
- A credible AWS account.
- Good experience of networking systems.
- Certification in AWS management.
- Good intent to learn new techniques.
The launch of Kubernetes led a wave of change in the way developers operated around runtime
issues, deployment and scalability of the applications. The revolution was so
huge that it altered the entire ecosystem of application building and deployment.
The origin of Kubernetes circles back to Google’s internal platform called Borg. It came out with
features never seen before in any other cloud system. Some of the prominent ones included
load balancing, authorization of policies and cluster-wise abstractions.
Kubernetes was launched in the year 2014 under the name Google Kubernetes Engine, also
called GKE. This launch, slowly yet successfully, removed a lot of hiccups in the software
deployment and scalability processes -- not just for Enterprises but also for several other startups.
Running Kubernetes on AWS EC2
Deploy a Kubernetes Application
Getting started with Amazon EKS
Kubernetes on AWS
Kubernetes on AWS: Deploy and manage production-ready Kubernetes clusters on AWS
Kubernetes on AWS
Kubernetes serves businesses with velocity, accuracy, and agility in software deployment. It
saves costs, in the long run, makes the lives of developers easier. In combination with AWS, it
enhances the integrations and creates a fine line of tools and commands to run multiple
workloads in one go.
A prime challenge, however, is that there is a lot of do-it-yourself mandates for running
Kubernetes on AWS and hence, many developers have a bit of a learning curve here. Get trained and
leverage it well!
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