How to Cut Your AWS Bill by 30% Using AI-Optimized Infrastructure

Stop Paying for Idle Servers

The cloud promised "pay for what you use." Most people "pay for what they provision." Your cloud bill is likely 30% waste. AI can analyze your traffic patterns and shut down resources you do not need.

The Three Levers

1. Log Analysis: Feed your AWS logs into an LLM to spot anomalies. Models can identify unusual spending patterns, underutilized resources, and inefficient configurations that humans miss in dashboards.
2. Spot Instances: Use AI to bid on cheap server capacity automatically. Spot instances can be 70-90% cheaper than on-demand. The challenge is managing interruptions — AI can predict and handle these gracefully.
3. Code Optimization: AI can refactor inefficient database queries that spike CPU usage. A single poorly-written query can cost thousands in unnecessary compute. AI-assisted code review catches these.

Quick Wins

• Right-sizing: Most instances are over-provisioned. AI analyzes actual usage and recommends smaller sizes.
• Reserved instances: AI can predict your baseline usage and recommend the optimal reservation strategy.
• Cleanup: AI identifies orphaned resources — EBS volumes, old snapshots, unused Elastic IPs — that quietly drain budget.

The Compounding Effect

A 30% reduction on a $50k/month bill is $15k/month or $180k/year. That is more than enough to fund your AI initiatives. The optimization literally pays for itself.

We usually pay for ourselves just by optimizing your existing infrastructure. Clients are often shocked by how much waste they were carrying.