AWS Cost Optimization Assessment

By Illusio Platform Engineering Team · Last reviewed: 2026 · 7 min read

An AWS cost optimization assessment is an intensive technical discovery process that identifies waste, models utilization trends, evaluates architecture efficiency, and delivers an engineering-ready implementation roadmap.

Why Automated Tools Alone Are Insufficient

Many engineering leaders begin by running an automated cost SaaS tool or reviewing AWS Cost Explorer recommendations. While helpful for basic signals, automated tools lack architectural context:

• An automated tool will recommend downsizing an instance because CPU utilization is low, unaware that the workload is memory-constrained or requires high network burst throughput.
• Algorithms frequently suggest purchasing 3-year all-upfront Reserved Instances for architectures slated to be replaced by containerized microservices next quarter.
• Tools identify idle resources but cannot determine which team owns them or whether they are tied to critical compliance disaster-recovery scripts.

An independent assessment conducted by senior platform engineers evaluates both the telemetry and the architectural intent behind each system.

Security and Access: The Least-Privilege Model

A reputable assessment must never request root credentials, IAM user passwords, or production database extraction. Access should strictly adhere to least privilege:

• Cross-Account IAM Role: Access is provided via an external AWS role configured with an external ID and read-only policies (such as SecurityAudit and ViewOnlyAccess).
• No Secrets or Data: S3 object bodies, database rows, customer PII, and application secrets remain completely inaccessible.
• Revoked Upon Delivery: The cross-account role is immediately deleted following assessment completion.

To review our complete compliance and security standards, read our Security & Compliance overview.

What Deliverables You Should Expect

A comprehensive assessment such as CloudSpend Reset (starting at $3,500) produces concrete, actionable artifacts:

1. Executive Cost Profile: Monthly and annualized cost distribution broken down by business capability, service category, and environment.
2. Quantified Savings Opportunities: Itemized findings with conservative monthly and annualized projected savings ranges.
3. Confidence & Complexity Classification: Every finding is explicitly classified by confidence (HIGH, MEDIUM, LOW) and implementation complexity (LOW, MEDIUM, HIGH).
4. 30/60/90-Day Remediation Roadmap: Sequenced execution steps ensuring low-risk quick wins (e.g. gp2 to gp3 storage migrations) are executed before multi-week architectural refactoring.

Next Steps: Assessment vs. Performance Implementation

Following an assessment, teams typically choose between two paths:

• Self-Implementation via Roadmap: Internal platform teams use the detailed findings backlog to implement recommendations internally via Terraform.
• Performance-Based Implementation (CloudSpend Performance): Illusio engineers execute the agreed remediation tasks, with commercial fees linked to verified recurring savings.