Cloudamize Express AMD Designs

Overview

When reviewing your finalized Cloudamize Express flat-file analysis, the platform provides dedicated algorithmic modeling tracks designed to identify target instance families backed by high-efficiency AMD processors.

The Design section now presents each optimization strategy as an individual tile in the left panel, making it easier to compare migration outcomes side by side. Each tile summarizes the projected annual infrastructure cost, estimated savings, average performance uplift, and the number of eligible servers for that specific strategy. This allows you to quickly evaluate different optimization approaches and choose the design that best aligns with your organization's cost, performance, and modernization goals.

AMD Cloud Sizing & Optimization Models

The Cloudamize Express engine utilizes four precise optimization profiles to map flat-file inventory details directly to Amazon Web Services (AWS) infrastructure specifications:

1. Hourly Cost Optimization

• Strategic Intent: Low-risk, predictable migration mapping.

• How it Works: This model defaults to recommending AMD's 6th generation instances (with most recommendations resolving to 6a instances) for all workloads. If an instance type in the source flat file is already at a generation above the 6th, it will remain as is with no changes applied.

2. Modernize

• Strategic Intent: Strict compute stability with enhanced processing capability.

• How it Works: This model recommends the specific AMD machine that provides superior performance compared to the source instance type without changing the shape of the machine. The allocated vCPU and Memory configurations are kept exactly the same. Most recommendations in this plan will resolve to 8a instances to capture newer processor performance advantages.

• Example: An Intel-based r6i.24xlarge (96 vCPUs, 768 GB Memory) is mapped to a high-performance AMD r8a.24xlarge (96 vCPUs, 768 GB Memory), retaining the exact resource sizing footprint while maximizing performance throughput.

3. Modernize & Downsize

• Strategic Intent: Structural infrastructure cost-cutting through performance-aware sizing.

• How it Works: This model looks for a target machine that delivers higher performance than the source while sitting at a lower cost bracket. Under this logic, the engine does not retain the shape of the machine, but it preserves the instance family tier. It may downsize the instance layout if it finds an alternative AMD machine that outperforms the source while maximizing budget efficiency.

• Example: A source instance configuration like an r6i.24xlarge can be optimized and downsized to an r8a.8xlarge under this logic.

Comparing Sizing Results Across Designs

Selecting a different Design Strategy tile updates the recommendation table to reflect that strategy's optimization approach. Depending on the selected strategy, you can compare:

• Annual Infrastructure Cost to evaluate projected spending.

• Estimated Savings to understand potential cost reductions.

• Recommended Instance Type, vCPUs, and Memory to see how resource sizing changes.

• Export Options to download a Summary Deck or export the recommendation data for the selected strategy.
  
  If you have any queries, please get in touch with the helpdesk via our Helpdesk Portal or by email at helpdesk@cloudamize.com.