Reduce Your EKS Bill with EKS Optimizer

Reduce Your EKS Bill with EKS Optimizer

Table of Contents:

1. Introduction 1.1 About EKS Cost Optimizer 1.2 Benefits of Using EKS Cost Optimizer

2. Setting Up EKS Cluster 2.1 Creating an EKS Cluster in AWS 2.2 Configuring Default Node Group 2.3 Estimating Node Requirements 2.4 Creating Nodes in AWS Console

3. Deploying Applications to EKS Cluster 3.1 Applying YAML Files for App Deployment 3.2 Scaling and Replica Sets 3.3 Configuring Recommendations Service

4. Using EKS Cost Optimizer 4.1 Connecting Cluster to Cast AI 4.2 Setting Up Read-Only Mode 4.3 Generating Savings Report

5. Implementing Optimization Policies 5.1 Setting Limits Policy 5.2 Enabling Unscheduled Pod Policies 5.3 Configuring Node Deletion Policy

6. Migrating to Cast Recommended Nodes 6.1 Choosing Migration Strategy 6.2 Using Evictor Add-On 6.3 Performing Slow and Safe Migration

7. Using Spot Instances for Cost Savings 7.1 Enabling Spot Instance Recommendations 7.2 Scaling Recommendations on Spot Instances 7.3 Coordinating and Draining Legacy Nodes

8. Monitoring and Tracking Savings 8.1 Monitoring Savings Report 8.2 Evaluating Savings Impact 8.3 Adapting Recommendations over Time

9. Conclusion 9.1 Summary of Benefits 9.2 Future Scope and Enhancements

Introduction

EKS Cost Optimizer is a powerful tool that helps optimize the cost of running applications on Amazon Elastic Kubernetes Service (EKS). By analyzing your cluster and workload Patterns, EKS Cost Optimizer provides recommendations to reduce costs while maintaining performance and scalability.

Setting Up EKS Cluster

To get started with EKS Cost Optimizer, You need to set up an EKS cluster in AWS. This involves creating a cluster, configuring the default node group, estimating node requirements, and creating nodes using the AWS console.

Deploying Applications to EKS Cluster

Once the EKS cluster is set up, you can deploy your applications to the cluster. This section explains how to Apply YAML files for application deployment, Scale and manage replica sets, and configure the recommendations service for optimal performance.

Using EKS Cost Optimizer

After deploying the applications, it's time to connect your cluster to EKS Cost Optimizer. This section guides you through the process of connecting the cluster, setting up Read-only mode for initial observations, and generating a savings report to identify potential optimizations.

Implementing Optimization Policies

To start optimizing your cluster, EKS Cost Optimizer provides a set of optimization policies. This section covers setting limits policy to control CPU usage, enabling unscheduled Pod policies for efficient scaling, and configuring node deletion policy to remove unnecessary nodes from the cluster.

Migrating to Cast Recommended Nodes

To achieve maximum cost savings, it is recommended to migrate your workload to Cast AI's recommended nodes. This section explains different migration strategies, including using the evictor add-on for slow and safe migration process.

Using Spot Instances for Cost Savings

EKS Cost Optimizer offers the option to utilize spot instances for further cost savings. Learn how to enable spot instance recommendations, scale recommendations on spot instances, and coordinate and drain legacy nodes to make room for spot instances.

Monitoring and Tracking Savings

Once optimizations are implemented, it is essential to monitor and track the cost savings. This section explains how to monitor the savings report, evaluate the impact of optimizations, and adapt recommendations over time for continuous cost optimization.

Conclusion

In conclusion, EKS Cost Optimizer is an invaluable tool for reducing the cost of running applications on Amazon EKS. With its comprehensive set of features, including optimization policies and spot instance utilization, businesses can achieve significant cost savings while maintaining performance and scalability.

**Highlights:

• EKS Cost Optimizer helps reduce costs of running applications on Amazon EKS.
• Set up an EKS cluster, configure node groups, and estimate node requirements.
• Deploy applications, scale replica sets, and optimize the recommendations service.
• Connect EKS cluster to EKS Cost Optimizer and generate a savings report.
• Implement optimization policies to control CPU usage and efficient scaling.
• Migrate workload to Cast AI's recommended nodes for maximum cost savings.
• Utilize spot instances for further cost optimization.
• Monitor and track cost savings over time.
• Achieve significant cost savings while maintaining performance and scalability.

FAQ: Q: What is EKS Cost Optimizer? A: EKS Cost Optimizer is a tool that helps optimize costs of running applications on Amazon EKS.

Q: How to set up an EKS cluster? A: Setting up an EKS cluster involves creating a cluster, configuring node groups, estimating node requirements, and creating nodes in AWS console.

Q: How does EKS Cost Optimizer help with cost savings? A: EKS Cost Optimizer provides recommendations based on cluster analysis to optimize costs while maintaining performance.

Q: Can I use spot instances with EKS Cost Optimizer? A: Yes, EKS Cost Optimizer supports spot instances for further cost savings.

Q: How can I monitor cost savings over time? A: EKS Cost Optimizer offers a savings report and monitoring features to track cost savings and evaluate their impact.