Tag Archives: AWS


New AWS ECS Kubernetes Release

New AWS ECS Kubernetes Release

There are a lot of AWS customers who run Kubernetes on AWS. In fact, according to the publishes, 63% of Kubernetes workloads run on AWS. While AWS is a popular place to run Kubernetes, there is still a lot of manual configuration that customers need to manage their Kubernetes clusters. The user has to install and operate the Kubernetes master and configure a cluster of Kubernetes workers. In order to achieve high availability in Kubernetes clusters, the user has to run at least three Kubernetes masters across different AZs. Each master needs to be configured, consistently share information, load balance, and fail-over to the other masters if one experiences a failure. Then once the user has all set up, the user still has to deal with upgrades and patches of the masters and workers software. Explore this article and know more about AWS ECS Kubernetes release.


Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a completely managed service that makes it easy for the user to use Kubernetes on AWS without having to be a proficient in managing Kubernetes clusters. There are few points that developers will really like about this service. Firstly, Amazon EKS runs the upstream version of the open-source Kubernetes software, so the user can use all the standing plugins and tooling from the Kubernetes community. The users can easily migrate their Kubernetes applications to Amazon EKS with zero code changes. Secondly, Amazon EKS spontaneously runs K8s with three masters across three AZs to protect against a single point of failure. This multi-AZ architecture provides resiliency against the loss of an AWS Availability Zone.

Thirdly, Amazon EKS also automatically detects and replaces unhealthy masters, and it provides automatic version upgrades and patching for the masters. The Amazon EKS joins with Amazon features like Elastic Load Balancing for load distribution, IAM for authentication, Amazon VPC for isolation, and AWS Cloud Trail for logging.


Amazon EKS integrates IAM authentication with Kubernetes RBAC in association with Heptio. The user can assign RBAC roles to every individual IAM entity allowing the user to control the access authorizations to their Kubernetes masters. This allows the users to easily manage their Kubernetes clusters using Kubernetes tools such as Kubectl.

The user can also use a private link if he/she wants to access their Kubernetes masters directly from their Amazon virtual private cloud. This process lets the users access their Kubernetes masters and Amazon EKS straight from their own Amazon VPC without using public IP address.

Lastly, an open source CNI plugin that anyone can use with their Kubernetes clusters on AWS. This allows the user to natively use Amazon VPC networking with their Kubernetes pods. With Amazon EKS, introducing a Kubernetes cluster is as easy as a few clicks in the AWS Management Console. Amazon EKS handles the rest, the improvements, fixing, and high availability.


What Processes will allow AWS for storing and Analyzing Big Data?

The following services are described in order from collecting, processing, storing and analyzing big data:

– Amazon Kinesis Streams
– AWS Lambda
– Amazon Elastic MapReduce
– Amazon Machine Learning
– Amazon Dynamo DB
– Amazon Redshift
– Amazon Elastic Search Service
– Amazon Quick Sight

In addition, Amazon EC2 instances are also available for self-managed big data applications.


How Big Data Works for you at AWS?

AWS provides a broad and fully loaded portfolio of cloud computing services to help you to build, secure, and deploy your big data applications. With AWS, there’s no hardware to procure, and no infrastructure to maintain and scale, so you can focus on your resources on uncovering new insights. With new capabilities and features added constantly, you’ll always be able to leverage the latest technologies without making long-term investment commitments.