Implementation Phases

Phase 1: Foundation (Weeks 1-4)

Goals:

• Core API and authentication
• Single cloud provider (AWS) support
• Basic routing (HTTP only)

Deliverables:

• D1 schema and migrations
• JWT authentication system
• AWS spot instance provisioning (via Kivera)
• Basic HTTP routing via Workers
• Health check monitoring
• Simple web console

Acceptance Criteria:

• Can create/terminate workloads via API
• HTTP traffic routes to correct workload
• Health checks detect failed instances

Phase 2: Multi-Cloud & TCP (Weeks 5-8)

Goals:

• Add Azure and GCP support
• TCP routing via Spectrum
• Price arbitrage engine

Deliverables:

• Azure Spot VM provisioning
• GCP Preemptible VM provisioning
• Price collection from all providers
• Optimal placement algorithm
• Spectrum TCP routing
• Connection Manager Durable Object

Acceptance Criteria:

• Workloads automatically placed on cheapest provider
• TCP connections routed correctly
• Price data updated every 60 seconds

Phase 3: Production Hardening (Weeks 9-12)

Goals:

• Full Kivera policy integration
• Comprehensive monitoring
• Customer onboarding flow

Deliverables:

• Kivera policy library (spot controls, data boundaries)
• Audit logging to R2
• Alerting integration
• Customer cloud account onboarding
• Billing system
• SDK (Python, Node.js)

Acceptance Criteria:

• All cloud operations pass through Kivera
• Complete audit trail for compliance
• Self-service customer onboarding

Phase 4: Scale & Optimize (Weeks 13-16)

Goals:

• Performance optimization
• 10K+ workload validation
• Enterprise features

Deliverables:

• Load testing at 10K concurrent workloads
• Query optimization
• Multi-region failover
• Enterprise SSO (SAML/OIDC)
• Custom Kivera policies per customer
• Advanced analytics dashboard

Acceptance Criteria:

• System handles 10K concurrent workloads
• P99 routing latency <100ms
• Enterprise security requirements met