Reyk AI - Docs
  • About Reyki AI
  • Customer Benefits
  • Get Free Savings Estimate
    • AWS Users: Savings Estimate
    • GCP Users: Savings Estimate
  • Onboarding
  • 🚀Optimization Features
    • Compute Optimization Engine (COE)
    • Object Storage Optimization (OSO) Engine
    • Kubernetes Optimization Engine (KOE)
    • Block Storage Optimization (BSO) Engine
    • Clouds & Regions
  • 📊FinOps Features
    • Cloud Savings Dashboards
    • Cloud Cost Dashboards
    • Virtual Tagging
    • Budgeting & Monitoring
    • Anomaly Detection & Correction
    • Consolidated Billing
      • AWS User Prerequisite
      • GCP User Prerequisite
      • Azure User Prerequisite
  • 💲Pricing
  • Payment Methods
  • Security & Privacy
    • SSO
    • AWS Users
    • GCP Users
    • Azure Users
  • ❓FAQs
  • Terms of Service
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  1. Optimization Features

Compute Optimization Engine (COE)

Autonomous compute optimization.

PreviousOptimization FeaturesNextObject Storage Optimization (OSO) Engine

Last updated 1 year ago

Reyki AI - Compute Optimization Engine (COE)

Reyki AI will reduce compute costs by automatically managing cloud service provider (CSP) volume discounts based on your evolving infrastructure needs. Our cloud compute optimization engine analyzes your compute usage patterns and rates and then implements steeply discounted rates at the billings layer without your intervention or engineering effort. Enjoy massive savings rates without having to worry about long-term commitments or contracts.

Compute - Without Reyki
Compute - Reyki AI Optimized

Fixed Reserve Capacity (Suboptimal)

Dynamic Reserve Capacity (Optimal)

Long-term Commitment

Flexible, No Lock-in

Unused Reserved Capacity (Waste)

No Unused Reserve Capacity (Zero Waste)

Excess On-Demand Capacity (Expensive)

Minimal On-Demand Capacity (Affordable)

🚀
Reyki compute optimization gives best of both worlds: heavily discounted reserve instance rate coverage but with flexibility.