💰 Cost Optimization 6 min read Compute

AWS Savings Plans: Complete Guide

Deep dive into Compute Savings Plans, EC2 Instance Savings Plans, and SageMaker Savings Plans. Which one is right for your workload?

June 12, 2026  |  6 min read
AWS Savings Plans

AWS Savings Plans offer a flexible and powerful way to reduce your cloud costs by up to 66% compared to On-Demand pricing. Unlike Reserved Instances, Savings Plans apply to a wider range of services and offer more flexibility.

In this comprehensive guide, we'll cover:

  • Types of Savings Plans
  • When to use each type
  • How Savings Plans compare to Reserved Instances
  • Best practices for implementation
  • How to monitor and optimize your Savings Plans
📊 Key Insight: Organizations using Savings Plans report average savings of 30-40% on their compute costs. With proper planning, you can achieve even higher savings.

What Are AWS Savings Plans?

AWS Savings Plans are a flexible pricing model that offer significant discounts in exchange for a commitment to a consistent amount of compute usage (measured in $/hour) for a 1- or 3-year term. Unlike Reserved Instances, Savings Plans can be applied across multiple service types, including EC2, Fargate, and Lambda.

Types of Savings Plans

AWS offers three types of Savings Plans:

1. Compute Savings Plans

Compute Savings Plans offer the most flexibility and apply to EC2, Fargate, and Lambda usage. They automatically apply to any instance family, size, or region.

  • Coverage: EC2, Fargate, Lambda
  • Savings: Up to 66%
  • Flexibility: Highest
  • Best For: Mixed workloads across multiple services

2. EC2 Instance Savings Plans

EC2 Instance Savings Plans apply only to EC2 instances within a specific region. They offer similar savings to Compute Savings Plans but with less flexibility.

  • Coverage: EC2 only
  • Savings: Up to 66%
  • Flexibility: Medium
  • Best For: EC2-focused workloads with predictable usage

3. SageMaker Savings Plans

SageMaker Savings Plans are designed specifically for machine learning workloads on Amazon SageMaker.

  • Coverage: SageMaker only
  • Savings: Up to 50%
  • Flexibility: Low
  • Best For: Machine learning workloads on SageMaker
💡 Pro Tip: Start with Compute Savings Plans for maximum flexibility. They offer the broadest coverage and are the easiest to manage.

Savings Plans Comparison

Feature Compute SP EC2 Instance SP SageMaker SP
Coverage EC2, Fargate, Lambda EC2 only SageMaker only
Savings Up to 66% Up to 66% Up to 50%
Flexibility ⭐⭐⭐⭐⭐ ⭐⭐⭐ ⭐⭐
Term 1 or 3 years 1 or 3 years 1 or 3 years
Region Any region Specific region Any region
Instance Family Any family Specific family N/A

Savings Plans vs. Reserved Instances

Both Savings Plans and Reserved Instances offer significant savings, but they serve different purposes:

Feature Savings Plans Reserved Instances
Coverage EC2, Fargate, Lambda, SageMaker EC2 only (with limited exceptions)
Flexibility Highest Limited (Standard) / High (Convertible)
Savings Up to 66% Up to 72%
Capacity Reservation No Yes (Zonal RIs)
Best For Mixed compute workloads Predictable EC2 workloads
⚠️ Important: Savings Plans do not provide capacity reservation. If you need guaranteed capacity, consider using On-Demand instances or Zonal Reserved Instances.

Implementation Best Practices

1. Analyze Your Usage

Use AWS Cost Explorer to analyze your compute usage patterns over the last 30-60 days. Identify the services and instance families that make up the majority of your spend.

2. Choose the Right Plan

  • Compute Savings Plans: If you use multiple services (EC2, Fargate, Lambda)
  • EC2 Instance Savings Plans: If you only use EC2 and want lower costs
  • SageMaker Savings Plans: If you use SageMaker extensively

3. Start with 1-Year Terms

Begin with a 1-year commitment to test the waters. You can always renew for a 3-year term later for higher savings.

4. Monitor Your Coverage

Use AWS Cost Explorer to monitor your Savings Plans coverage. Aim for 80-90% coverage for optimal savings.

5. Combine with RIs

Use both Savings Plans and Reserved Instances for maximum coverage and savings.

💡 Pro Tip: Use AWS Cost Explorer's "Savings Plans Recommendations" to get personalized purchase recommendations based on your historical usage.

Common Mistakes to Avoid

  • Over-committing: Only commit to usage you're confident about
  • Under-committing: Leaving savings on the table by not committing enough
  • Choosing the wrong term: 3-year terms offer higher savings but require longer commitment
  • Not monitoring coverage: Regular monitoring helps you optimize your commitment
🎯 Key Takeaway: AWS Savings Plans are one of the most effective ways to reduce your cloud costs. Start with Compute Savings Plans for maximum flexibility, and monitor your coverage regularly to optimize your commitment.

At DeployInCloud, we've helped 500+ enterprises implement Savings Plans and achieve cost savings of 35-40%. Contact us for a free cost optimization assessment today.

#AWS #SavingsPlans #CostOptimization #FinOps #ComputeSavings
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