AWS Cost Optimization
A Guide to Choosing an AWS Commitment Model
Confused by AWS commitment models? This guide provides a detailed head-to-head comparison of Savings Plans vs. Reserved Instances, breaking down the flexibility, savings, and ideal use cases for each to help you optimize your cloud bill.
A comparison of a rigid 'RI' (Reserved Instance) with a fixed discount, and a flexible, amorphous 'SP' (Savings Plan) that covers multiple services like EC2 and Fargate

One of the most powerful levers for reducing your AWS bill is moving away from On-Demand pricing and embracing a commitment-based discount model. AWS offers two primary options: the traditional Reserved Instances (RIs) and the more modern Savings Plans (SPs). Both can provide discounts of up to 72-75% for a 1 or 3-year commitment, but they differ fundamentally in flexibility.

The Models Explained

Reserved Instances (RIs): The Legacy Choice

RIs are a commitment to a specific instance configuration in a specific region.

  • Standard RIs: Offer the highest discount (up to 75%) but are the most rigid. You commit to a specific instance family, size, OS, and region. Ideal for extremely stable workloads.

  • Convertible RIs: Offer a lower discount but allow you to exchange your commitment for a different instance type, providing some flexibility.

  • Capacity Reservation: A key feature of Standard RIs is that they can provide a capacity reservation, guaranteeing you can launch your instance when you need it.

Savings Plans (SPs): The Modern, Flexible Choice

Introduced to address the rigidity of RIs, Savings Plans are a commitment to a certain amount of spend ($/hour).

  • Compute Savings Plans: This is the most flexible option. You commit to a spend (e.g., $10/hour), and that discount automatically applies to any EC2 instance usage, regardless of family, size, or region. It also applies to AWS Fargate and AWS Lambda usage.

  • EC2 Instance Savings Plans: A middle ground. You commit to a specific instance family in a specific region and get a higher discount than a Compute SP, but less flexibility.

Head-to-Head Comparison

Feature

Reserved Instances (Standard)

Savings Plans (Compute)

Flexibility

Very Low (locked to instance family, size, region)

Very High (applies to any EC2, Fargate, Lambda)

Max Discount

Up to 75%

Up to 66%

Capacity Reservation

Yes (Zonal)

No

Applies To

EC2, RDS, Redshift, etc.

EC2, Fargate, Lambda

Management

High (requires manual exchanges)

Low (applies automatically)

Scenarios: When to Choose Which Model

The best choice depends on your workload's predictability.

Choose Reserved Instances if:

  • Your workload is extremely stable and predictable (e.g., a large monolithic application).

  • You absolutely need a capacity reservation for a mission-critical application.

  • You need discounts on non-compute services like RDS or Redshift.

Choose Savings Plans if:

  • Your workloads are dynamic or evolving (the case for most modern applications).

  • You use containers (Fargate) or serverless (Lambda).

  • You want to simplify management, as SPs "just work" automatically.

The Hybrid Approach: The Best of Both Worlds

For many large organizations, the optimal strategy is a hybrid approach.

  1. Use RIs for your foundational, never-changing workloads like core production databases to lock in the highest discount and capacity reservations.

  2. Use a flexible layer of Compute Savings Plans to cover the rest of your dynamic compute workloads.

Conclusion

While Reserved Instances still have a place, Compute Savings Plans have become the default and recommended choice for the vast majority of AWS users. The small premium paid in a slightly lower discount is almost always worth the immense gain in flexibility, allowing your engineering teams to innovate without being financially penalized by rigid, outdated commitments.

See, Understand, Optimize -
All in One Place

Atler Pilot decodes your cloud spend story by bringing monitoring, automation, and intelligent insights together for faster and better cloud operations.