Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)

1. Managed Kubernetes: Amazon EKS provides a fully managed Kubernetes control plane, eliminating the need to install, operate, and maintain Kubernetes clusters.

2. High Availability: Amazon EKS ensures high availability of Kubernetes clusters by distributing control plane components across multiple Availability Zones.

3. Auto Scaling: Integration with AWS Auto Scaling allows automatic scaling of the underlying infrastructure based on application resource requirements.

4. Security: Amazon EKS provides security features such as IAM integration, network isolation, and encryption to ensure the security of containerized applications.

Before learning to run containers on Amazon Elastic Kubernetes Service (Amazon EKS), it's beneficial to have the following skills:

1. Containerization Basics: Understanding of containerization concepts, including Docker containers and container orchestration with Kubernetes.

2. AWS Fundamentals: Familiarity with basic AWS services such as EC2, S3, IAM, and VPC, as well as general AWS terminology and concepts.

3. Kubernetes Basics: Knowledge of Kubernetes architecture, components, and basic operations such as pod deployment, service creation, and scaling.

4. Networking Concepts: Understanding of networking fundamentals, including IP addressing, subnets, routing, and load balancing, as these are important for Kubernetes networking.

By learning to run containers on Amazon Elastic Kubernetes Service (Amazon EKS), you gain the following skills:

1. Container Orchestration: Proficiency in orchestrating containerized applications using Kubernetes, including deployment, scaling, and management.

2. AWS Cloud Management: Ability to leverage AWS services for containerized workloads, including provisioning, configuring, and managing resources on the AWS cloud platform.

3. Infrastructure as Code (IaC): Knowledge of Infrastructure as Code concepts and tools for automating the deployment and management of infrastructure resources using code.

4. Scalability and Availability: Understanding of how to design and configure Kubernetes clusters for scalability, high availability, and fault tolerance on AWS.