Enterprise Cloud Architecture Optimization

Executive Summary

Multi-tenant SaaS platform faced critical infrastructure challenges: rapidly growing monthly costs of $44K, fragmented security across regions, and operational complexity. Through comprehensive 6-8 week review, identified $79-132K annual savings while strengthening security and enabling AI/ML workloads.

The Challenge

• 16 Kubernetes clusters spanning US, UK, EU, CA with 651 nodes
• Monthly infrastructure spend of $44,000 with no optimization visibility
• Fragmented security architecture across regions
• Manual processes limiting agility
• Infrastructure not architected for future AI/ML workloads

Architecture Optimization: Interactive Analysis

Current vs Optimized Comparison

Component	Current	Optimized	Benefit
K8s Clusters	16	14	Consolidation
Compute Nodes	651	520	Right-sized
Auto-Scaling	Standard	Scale-to-Zero AI	Cost Optimized
Monthly Cost	$44,000	$33-37K	$7-11K savings

Strategic Recommendations

• Enable scale-to-zero for dev/test environments (Quick Win)
• Implement zero-trust architecture and RBAC hardening
• Deploy Kubecost for real-time cost visibility
• Consolidate underutilized clusters
• Migrate to Gateway API from traditional ingress

Results

• $79-132K annual infrastructure cost reduction
• 2-3 month ROI on implementation
• Compliance readiness for SOC 2, ISO 27001, GDPR
• Automation reduced manual operations workload
• Infrastructure positioned for AI/ML workload integration