AWS Compute Purchasing Options: Curriculum Overview

This curriculum provides a comprehensive guide to understanding and comparing AWS pricing models for compute resources. Mastering these options is critical for the AWS Certified Cloud Practitioner (CLF-C02) exam and for real-world cost optimization in the cloud.

Prerequisites

Before starting this module, students should have a baseline understanding of the following:

• Cloud Economics Fundamentals: The difference between Capital Expenditure (CapEx) and Operational Expenditure (OpEx).
• Amazon EC2 Basics: Understanding what an instance is, what Amazon Machine Images (AMIs) are, and the basic concept of virtual computing.
• AWS Global Infrastructure: Familiarity with Regions and Availability Zones (AZs).

Module Breakdown

The curriculum is structured into five core modules, progressing from standard usage to specialized isolation and capacity requirements.

Module Objectives

Module 1: Flexible Consumption

• Define On-Demand pricing and identify its use for unpredictable, short-term workloads.
• Explain why On-Demand is the most expensive but most flexible tier.

Module 2: Commitment & Savings

• Compare Reserved Instances (RI) and AWS Savings Plans.
• Understand the commitment levels (1-year or 3-year) and payment options (All Upfront, Partial Upfront, No Upfront).
• Describe the flexibility of Savings Plans across instance families and regions.

Module 3: Excess Capacity

• Identify use cases for Spot Instances (e.g., batch processing, background tasks).
• Explain the mechanics of the Spot market and how AWS reclaims capacity.

Module 4: Isolation & Compliance

• Differentiate between Dedicated Instances (hardware isolation at the VPC level) and Dedicated Hosts (physical server visibility and licensing).

Module 5: Capacity Assurance

• Explain the purpose of Capacity Reservations in ensuring instances can be launched in a specific AZ regardless of demand.

Visual Anchors

Compute Options Mind Map

Cost vs. Commitment Trade-off

Success Metrics

To demonstrate mastery of this curriculum, the student must be able to:

1. Select the correct model for a scenario: (e.g., "Which model is best for a steady-state database running 24/7?" -> Savings Plan/RI).
2. Calculate Savings: Understand that "All Upfront" payments provide the deepest discounts compared to "No Upfront."
3. Differentiate Isolation: Explain that Dedicated Hosts allow for "Bring Your Own License" (BYOL) while Dedicated Instances do not.
4. Manage Interruption: Identify that Spot Instances provide a 2-minute notification before termination.

Real-World Application

• FinOps & Cloud Financial Management: Professionals use these models to reduce a company's "Cloud Waste." Efficient use of Spot and Savings Plans can reduce monthly AWS bills by 40-70%.
• Architecting for High Availability: Using On-Demand Capacity Reservations for critical disaster recovery (DR) events ensures that capacity is available when a secondary region needs to spin up immediately.
• Compliance: Industries like Banking or Healthcare use Dedicated Hosts to meet regulatory requirements for physical server isolation.

Examples & Scenarios

[!TIP] Always match the purchasing option to the workload's tolerance for interruption and its duration.

▶Deep Dive: Spot Instance Interruption Behavior

When AWS needs the capacity back for On-Demand users, Spot instances receive a termination notice. Your application should be designed to save its state to S3 or a database within that 2-minute window to avoid data loss.