What is Cloud Rightsizing?

Key takeaways

  • Cloud rightsizing is matching cloud resources to actual workload requirements

  • 30-35% of cloud spend is typically wasted on over-provisioned resources

  • Rightsizing adjusts instance types, storage, and configurations based on utilization data

  • Part of FinOps practices for cloud cost optimization

  • CerteroX Cloud Management delivers 38% average savings through rightsizing and optimization

  • Certero is a FinOps Foundation member


What is Cloud Rightsizing?

Cloud rightsizing is the process of analyzing cloud resource utilization and adjusting allocations to match actual workload needs. When resources are "right-sized," you're not paying for capacity you don't use.

The challenge: organizations often provision cloud resources based on peak demand estimates or vendor recommendations—resulting in instances that run at 10-30% utilization while billing for 100%.


Why rightsizing matters

The waste problem

Studies consistently show 30-35% of cloud spend is wasted:

  • Over-provisioned virtual machines

  • Idle resources still billing

  • Previous-generation instance types

  • Storage allocated but unused

The compounding effect

Cloud waste compounds because:

  1. Over-provisioned resources are copied to new environments

  2. "This is how we've always done it" becomes default sizing

  3. No one is accountable for optimization

  4. The bill arrives 30 days after the waste occurs

The opportunity

Rightsizing is often the highest-impact, lowest-effort optimization:

  • Doesn't require architecture changes

  • Can be automated with proper tooling

  • Delivers immediate, measurable savings

  • Improves application performance when done correctly


Types of rightsizing

1. Vertical rightsizing

Adjusting instance size within the same family:

  • Downsize: m5.xlarge → m5.large (when underutilized)

  • Upsize: m5.large → m5.xlarge (when constrained)

2. Horizontal rightsizing

Adjusting the number of instances:

  • Reduce: 10 instances → 6 instances (when over-provisioned)

  • Increase: 6 instances → 10 instances (when needed)

3. Instance family changes

Moving to more appropriate instance types:

  • General purpose → Memory optimized (for memory-intensive workloads)

  • Previous generation → Current generation (for better price/performance)

4. Storage rightsizing

Optimizing storage configurations:

  • Reduce volume sizes

  • Change storage tiers (SSD → HDD where appropriate)

  • Delete orphaned volumes

5. Database rightsizing

Optimizing managed database resources:

  • Right-size RDS instances

  • Adjust Aurora capacity

  • Optimize reserved capacity


Rightsizing process

Step 1: Collect utilization data

Monitor actual resource usage over time:

  • CPU utilization

  • Memory consumption

  • Network throughput

  • Storage IOPS

  • Application metrics

Minimum observation period: 7-14 days (to capture weekly patterns)

Step 2: Analyze patterns

Identify:

  • Consistently underutilized resources (candidates for downsizing)

  • Resources at capacity (may need upsizing)

  • Idle resources (candidates for termination)

  • Peak vs. average utilization (sizing strategy)

Step 3: Generate recommendations

Based on analysis, create rightsizing recommendations:

  • Current configuration

  • Recommended configuration

  • Estimated savings

  • Risk assessment

Step 4: Validate and implement

Before making changes:

  • Verify recommendations with application owners

  • Test in non-production environments

  • Implement with rollback capability

  • Monitor post-change performance

Step 5: Continuous optimization

Rightsizing isn't one-time:

  • Workloads change over time

  • New instance types become available

  • Pricing changes affect optimal configurations

  • Build rightsizing into regular operations


Rightsizing vs. other optimization methods

Method

What It Does

Best For

Rightsizing

Match resources to workload

Over-provisioned resources

Reserved Instances

Commit for discount

Steady-state workloads

Savings Plans

Flexible commitments

Consistent compute usage

Spot Instances

Use spare capacity

Fault-tolerant workloads

Power Scheduling

Turn off when not needed

Non-production environments

Key insight: Rightsize first, then commit. Buying reserved instances for over-provisioned resources locks in waste.


How CerteroX helps with cloud rightsizing

CerteroX Cloud Management delivers comprehensive cloud cost management including AI-powered rightsizing recommendations.

Capabilities

  • Multi-cloud visibility: AWS, Azure, GCP, Oracle Cloud, Kubernetes

  • Utilization analysis: Continuous monitoring of resource usage

  • AI-powered recommendations: Intelligent rightsizing suggestions

  • Impact modeling: See savings before making changes

  • Implementation tracking: Monitor optimization results

Results

Organizations using CerteroX Cloud Management achieve 38% average cloud savings through rightsizing and other FinOps practices.

FinOps Foundation member

Certero is a FinOps Foundation member, committed to advancing FinOps practices and helping organizations bring financial accountability to cloud spending.

Recognition

  • #1 rated on Gartner Peer Insights for IT Asset Management

  • 97% of customers recommend Certero


Frequently asked questions

How much can rightsizing save?

Typical savings range from 20-40% on compute costs. The exact amount depends on current over-provisioning levels.

Will rightsizing affect application performance?

When done correctly, no. Proper rightsizing uses utilization data to ensure resources match actual needs. Some organizations see improved performance after rightsizing due to better resource selection.

How often should we rightsize?

Review rightsizing opportunities monthly at minimum. Cloud providers release new instance types regularly, and workload patterns change over time.

Should we rightsize before buying reserved instances?

Yes. Always rightsize first, then commit. Buying reservations for over-provisioned resources locks in waste for 1-3 years.

Can rightsizing be automated?

Partially. Recommendation generation can be fully automated. Implementation typically requires human approval due to application impact considerations.

What's the difference between rightsizing and auto-scaling?

Auto-scaling adjusts capacity dynamically based on demand. Rightsizing sets the baseline configuration. Both are complementary—rightsize the baseline, then auto-scale for variable demand.



Last updated: February 2026