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At fleet scale, manual analysis is always out of date.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