Achieve 70%+ Cost Savings on AWS Bills with CAST AI and USAGE AI

Table of Contents

1. Introduction to Cast AI and Usage.ai
2. Analyzing a Kubernetes Application
3. Optimizing Compute and Memory for Kubernetes Applications
4. Selecting Infrastructure for Application Deployment
5. Rebalancing the Cluster for Optimization
6. Introduction to Usage.ai
7. How Usage.ai Saves Costs on AWS EC2 Spend
8. Flex Reserved Instances: Cost Savings without Commitments
9. Combining Cast AI and Usage.ai for Maximum Cost Reduction
10. Transforming On-Demand Instances into Reserved Instances

Introduction to Cast AI and Usage.ai

In this webinar, we will explore the unique combination of Cast AI and Usage.ai, and how it can help You achieve significant cost savings on your AWS bills. Cast AI is a platform that provides real-time optimization for Kubernetes applications, enabling you to analyze and optimize your applications' compute and memory usage. Usage.ai, on the other HAND, is a solution that helps companies save up to 57% on their AWS EC2 spend by offering Flex Reserved Instances, which combine savings of a three-year commitment with the flexibility to adjust capacity as needed.

Analyzing a Kubernetes Application

To demonstrate the capabilities of Cast AI and Usage.ai, we will analyze a Kubernetes application running on AWS Elastic Kubernetes Service (EKS). The AI engine in Cast AI will precisely analyze the compute and memory requirements of the application and compare it with the infrastructure it currently uses.

Optimizing Compute and Memory for Kubernetes Applications

Based on the analysis, Cast AI's AI engine will recommend the optimal compute and memory resources for the application to achieve the desired performance. It may suggest reducing the number of machines or selecting a different instance Type to match the application's needs. By right-sizing the cluster, you can significantly optimize costs while maintaining performance.

Selecting Infrastructure for Application Deployment

In addition to optimizing compute and memory, Cast AI also helps in selecting the most cost-effective infrastructure on which your application should run. This includes evaluating different cloud providers such as Google Cloud, AWS, and Azure, and assessing their offerings in terms of pricing, performance, and availability. In this webinar, we will focus on AWS and the Elastic Kubernetes Service (EKS).

Rebalancing the Cluster for Optimization

Once the analysis and infrastructure selection are complete, Cast AI will help you rebalance the cluster to achieve optimal performance and cost savings. This involves moving containers from existing machines to the newly recommended ones, and potentially removing unnecessary machines from the cluster. By doing so, you can achieve immediate cost optimization without compromising performance.

Introduction to Usage.ai

Usage.ai complements Cast AI by providing further cost savings on AWS EC2 spend. By utilizing Flex Reserved Instances, Usage.ai enables companies to save up to 57% on their AWS bills without the need for upfront payments or long-term commitments. Flex Reserved Instances offer the benefits of a three-year commitment at a significantly reduced cost.

How Usage.ai Saves Costs on AWS EC2 Spend

Usage.ai achieves cost savings on AWS EC2 spend by bundling the benefits of a three-year commitment with guaranteed buyback. This means that customers can enjoy the savings of a long-term commitment without being tied down to it. The service offers reserved instances with no upfront costs, allowing companies to optimize their costs without sacrificing flexibility.

Flex Reserved Instances: Cost Savings without Commitments

Flex Reserved Instances provided by Usage.ai enable companies to achieve substantial cost savings on AWS EC2 spend. By offering flexible reservation options, Usage.ai ensures that customers pay the lowest possible cost for reserved instances without the need for prepayment or a long-term commitment. This unique offering allows companies to save while maintaining the flexibility to adjust their capacity as needed.

Combining Cast AI and Usage.ai for Maximum Cost Reduction

The combination of Cast AI and Usage.ai offers a powerful solution for optimizing costs and achieving maximum cost reduction. By leveraging Cast AI's optimization capabilities for Kubernetes applications and Usage.ai's Flex Reserved Instances, companies can realize savings of up to 70% on their AWS bills. This unique synergy provides the best of both worlds – cost optimization and flexibility – for achieving significant cost reductions.

Transforming On-Demand Instances into Reserved Instances

One of the key features of the Cast AI and Usage.ai combination is the ability to transform on-demand instances into reserved instances for even greater cost savings. Usage.ai facilitates this transformation by converting on-demand instances into highly discounted reserved instances while retaining the flexibility of on-demand pricing. This allows companies to enjoy the cost benefits of reserved instances without the long-term commitment.

Highlights:

• Achieve up to 70% cost savings on AWS bills
• Optimize compute and memory resources for Kubernetes applications
• Select the most cost-effective infrastructure for application deployment
• Rebalance clusters for immediate cost optimization
• Save up to 57% on AWS EC2 spend with Flex Reserved Instances
• No upfront costs or long-term commitments
• Transform on-demand instances into reserved instances for additional savings

FAQ:

Q: How does Cast AI analyze Kubernetes applications? A: Cast AI utilizes its AI engine to analyze the compute and memory requirements of Kubernetes applications running on different cloud providers. It precisely determines the optimal resources needed for optimal performance while minimizing costs.

Q: Can Cast AI optimize applications running on cloud providers other than AWS? A: Yes, Cast AI can optimize applications running on Google Cloud, AWS, and Azure. In this webinar, we will primarily focus on optimizing applications running on AWS using EKS.

Q: How does Usage.ai achieve cost savings on AWS EC2 spend? A: Usage.ai offers Flex Reserved Instances, which provide customers with the benefits of a three-year commitment without upfront costs or long-term commitments. This allows companies to enjoy cost savings of up to 57% on their AWS bills.

Q: Is it possible to switch between on-demand instances and reserved instances using Usage.ai? A: Yes, Usage.ai provides the flexibility to switch between on-demand instances and reserved instances based on the current needs of your applications. This allows you to optimize costs without sacrificing flexibility.

Q: Can Cast AI and Usage.ai be used together for maximum cost reduction? A: Yes, the combination of Cast AI and Usage.ai offers a comprehensive solution for optimizing costs and achieving maximum cost reduction. By leveraging the capabilities of both platforms, companies can realize significant savings on their AWS bills.