# Amazon EC2

Sedai continuously analyzes Amazon EC2 utilization and autonomously right-sizes instances — application-aware, unlike generic provider recommendations.

## Stop Paying for EC2 Capacity You Don't Use

Most EC2 instances are sized for peak load, not typical load — and they stay that way. Sedai continuously analyzes utilization and autonomously right-sizes instances without risking performance or availability.

## Rightsizing Advice Only Helps If You Can Safely Act on It.

AWS provides utilization-based rightsizing recommendations, but infrastructure metrics alone don't tell you whether acting on them is safe. For latency-sensitive workloads, that gap between "looks underutilized" and "safe to resize" is exactly where teams get burned — so they stop acting on recommendations at all.

### Utilization data without application context is incomplete.

CPU and memory averages look fine until you resize an instance and discover the workload had burst requirements or latency sensitivities the metrics didn't surface. Technically accurate recommendation. Still a degraded service.

### At fleet scale, manual analysis is always out of date.

By the time you've audited a set of instances, the first ones have drifted again. Static analysis against a moving target isn't a strategy — it's a way to stay busy while underutilization compounds.

### Risk aversion is rational, and it's expensive.

When teams can't confidently assess whether a change is safe, leaving it alone is the rational call. The result is persistent overspend that everyone knows about and no one touches.

## How We Help

### Continuous Rightsizing

Sedai profiles each instance's actual utilization patterns and autonomously adjusts sizing — no manual audits, no stale recommendations sitting in a backlog.

### Application-Aware Optimization

Unlike generic cloud provider tools, Sedai incorporates application performance signals before acting, so rightsizing decisions don't come at the cost of latency or availability.

### Purchasing Optimization

Sedai recommends and manages the lowest-cost purchasing mix across on-demand, reserved instances, and savings plans, continuously updated as your workload evolves.

## Your Instances Sized Themselves. Finally.

## Frequently Asked Questions

### How is this different from AWS Compute Optimizer recommendations?

AWS Compute Optimizer uses utilization metrics but lacks application-level context. Sedai incorporates performance signals like latency, error rates, and availability before making changes, reducing the risk that a recommendation causes degradation.

### Does Sedai work with both Linux and Windows EC2 instances?

Yes. Sedai supports both Linux and Windows workloads across EC2 instance families.

### Will rightsizing cause downtime?

Instance type changes require a stop/start cycle, which Sedai schedules during low-traffic windows. For applications requiring zero downtime, Sedai can coordinate changes alongside Auto Scaling groups to maintain availability throughout.

### How does Sedai handle instances that are part of an Auto Scaling group?

Sedai treats ASG-managed instances as a unit, optimizing launch template configurations and instance type selection at the group level rather than instance by instance.

### How does purchasing optimization work? Does Sedai make purchases on our behalf?

Sedai provides recommendations across on-demand, savings plans, and reserved instance options. Purchasing actions require explicit approval; Sedai doesn't commit spend autonomously.