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Create AWS EKS Cluster using Terraform: AWS EKS Kubernetes Tutorial - Part 2

Create AWS EKS Cluster using Terraform: AWS EKS Kubernetes Tutorial - Part 2

Source: YouTube · Anton Putra · published May 20, 2024 · 19:04

Cloud Security
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Description

This video is the second part of an Amazon EKS tutorial, covering Kubernetes architecture, IAM permissions, and provisioning the control plane and worker nodes using Terraform 0:00-7:46.

Key Takeaways:
• Kubernetes relies on core components like etcd for state storage and the scheduler for assigning pods, while cloud-specific logic is increasingly handled by external controllers like the AWS Load Balancer controller 0:13-1:51.
• EKS requires specific IAM roles and policies, such as AmazonEKSClusterPolicy, which use temporary security tokens to enhance security compared to long-term credentials 3:56-5:04.
• Using Terraform, the tutorial guides users through creating a highly available control plane with a public endpoint but deploying worker nodes in private subnets to minimize security risks 7:46-9:43.
• EKS-managed node groups are recommended over self-managed groups for simplified lifecycle management and automatic upgrades, although self-managed groups offer more customization for specific requirements 12:19-13:00.

After provisioning, the video demonstrates verifying the cluster resources in the AWS console and connecting via kubectl to confirm administrative access and functionality 16:54-18:57.

Sources:

  • 0:00 Intro to EKS tutorial and Kubernetes components
  • 0:13 Explanation of etcd, scheduler, and cloud controllers
  • 3:56 IAM roles, policies, and security in EKS
  • 7:46 Terraform setup for control plane and networking
  • [12:19](

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First 800 characters of the transcript

This is the second part of the Amazon EKS 
tutorial. Before we start creating EKS itself, let’s go over the main Kubernetes components. It’s going to be important later in terms of the 
IAM permissions we need to grant to EKS. First of all, we have an etcd database. 
Kubernetes uses it to store all its state, such as deployment specifications, how 
many replicas of each pod it needs to run, and stuff like that. So, it’s 
important to regularly back up etcd and be prepared to recover 
in case something happens to it. Then we have the scheduler. Its main 
job is to watch for newly created pods and assign them to the nodes based on 
available CPU and memory and pod requests. Next, we have the controller manager. 
It combines many different controllers. It’s basically a reconciliation loop, wh…