Old Architecture:
Server → Patch → Patch → Patch → Configuration Drift

Hyperforce:
Container Image v1 → Deploy
New Code → Build Container Image v2 → Replace v1 with v2
Result: Every deployment is identical, reproducible

Region: US-East (Virginia)
├─ Availability Zone A (Data Center 1)
│  ├─ App Servers (Kubernetes pods)
│  ├─ Database Primary
│  └─ Load Balancer
├─ Availability Zone B (Data Center 2)
│  ├─ App Servers (Kubernetes pods)
│  ├─ Database Replica
│  └─ Load Balancer
└─ Availability Zone C (Data Center 3)
   ├─ App Servers (Kubernetes pods)
   ├─ Database Replica
   └─ Load Balancer

Traffic Distribution: Round-robin across all AZs
Failure Handling: If AZ fails, traffic routes to remaining AZs
RTO (Recovery Time Objective): <5 minutes
RPO (Recovery Point Objective): <30 seconds

Zero Trust Model:
├─ Identity Verification (MFA required for all users by 2025)
├─ Device Trust (managed devices only)
├─ Network Segmentation (micro-segmentation between services)
├─ Least Privilege Access (minimal permissions by default)
├─ Continuous Monitoring (real-time threat detection)
└─ Encryption Everywhere (TLS 1.3, data at rest encryption)

// OLD: Assume internal traffic is safe
public without sharing class InternalService {
    // No auth checks - trusted network
}

// HYPERFORCE: Always verify, never trust
public with sharing class InternalService {
    // Always enforce sharing rules
    // Always validate session
    // Always check field-level security

    public List<Account> getAccounts() {
        // WITH SECURITY_ENFORCED prevents data leaks
        return [SELECT Id, Name FROM Account WITH SECURITY_ENFORCED];
    }
}

# Hyperforce deployment manifest (conceptual)
apiVersion: hyperforce.salesforce.com/v1
kind: SalesforceOrg
metadata:
  name: production-org
  region: aws-us-east-1
spec:
  edition: enterprise
  features:
    - agentforce
    - dataCloud
    - einstein
  compute:
    pods: 50
    autoScaling:
      min: 10
      max: 100
      targetCPU: 70%
  storage:
    size: 500GB
    replication: 3
  backup:
    frequency: hourly
    retention: 30days
  networking:
    privateLink: enabled
    ipWhitelist:
      - 203.0.113.0/24

┌────────────────────────────────────────────────────────┐
│                  AWS Region (us-east-1)                │
├────────────────────────────────────────────────────────┤
│  VPC (Virtual Private Cloud)                           │
│  ├─ Public Subnets (3 AZs)                             │
│  │  └─ Application Load Balancer (ALB)                 │
│  ├─ Private Subnets (3 AZs)                            │
│  │  ├─ EKS Cluster (Kubernetes)                        │
│  │  │  ├─ Salesforce App Pods (autoscaling)            │
│  │  │  ├─ Metadata Service Pods                        │
│  │  │  ├─ API Gateway Pods                             │
│  │  │  └─ Background Job Pods (Batch, Scheduled)       │
│  │  ├─ RDS Aurora PostgreSQL (multi-AZ)                │
│  │  ├─ ElastiCache Redis (session storage)             │
│  │  └─ S3 Buckets (attachments, documents)             │
│  └─ Database Subnets (3 AZs)                           │
│     └─ Aurora Database Cluster                         │
├────────────────────────────────────────────────────────┤
│  Additional Services                                   │
│  ├─ CloudWatch (monitoring, logs)                      │
│  ├─ CloudTrail (audit logs)                            │
│  ├─ AWS Shield (DDoS protection)                       │
│  ├─ AWS WAF (web application firewall)                 │
│  ├─ KMS (encryption key management)                    │
│  └─ PrivateLink (secure connectivity)                  │
└────────────────────────────────────────────────────────┘

Azure Region (East US)
├─ Virtual Network (VNet)
│  ├─ AKS (Azure Kubernetes Service)
│  │  └─ Salesforce workloads
│  ├─ Azure Database for PostgreSQL (Hyperscale)
│  ├─ Azure Cache for Redis
│  └─ Azure Blob Storage
├─ Azure Front Door (CDN + Load Balancer)
├─ Azure Monitor (logging, metrics)
├─ Azure Active Directory (identity)
└─ Azure Key Vault (secrets, encryption)

GCP Region (us-central1)
├─ VPC Network
│  ├─ GKE (Google Kubernetes Engine)
│  ├─ Cloud SQL (PostgreSQL)
│  ├─ Memorystore (Redis)
│  └─ Cloud Storage (GCS)
├─ Cloud Load Balancing
├─ Cloud Armor (DDoS protection)
├─ Cloud Monitoring (Stackdriver)
└─ Cloud KMS (encryption)

Americas:
├─ US East (Virginia) - AWS, Azure
├─ US West (Oregon) - AWS
├─ US Central (Iowa) - GCP
├─ Canada (Toronto) - AWS
└─ Brazil (São Paulo) - AWS

Europe:
├─ UK (London) - AWS
├─ Germany (Frankfurt) - AWS, Azure
├─ France (Paris) - AWS
├─ Ireland (Dublin) - AWS
└─ Switzerland (Zurich) - AWS

Asia Pacific:
├─ Japan (Tokyo) - AWS
├─ Australia (Sydney) - AWS
├─ Singapore - AWS
├─ India (Mumbai) - AWS
└─ South Korea (Seoul) - AWS

Middle East:
└─ UAE (Dubai) - AWS

// Data residency automatically enforced
// No code changes needed - Hyperforce handles it

// Example: File stored in org's region
ContentVersion cv = new ContentVersion(
    Title = 'Customer Contract',
    PathOnClient = 'contract.pdf',
    VersionData = Blob.valueOf('contract data')
);
insert cv;

// File automatically stored in:
// - AWS S3 in org's region
// - Encrypted at rest (AES-256)
// - Replicated across 3 AZs in region
// - Never leaves region boundary

User (Germany) → Transatlantic cable → US Data Center → Response
Latency: 150-200ms

User (Germany) → Frankfurt Hyperforce Region → Response
Latency: 10-30ms

Result: 5-10x faster for regional users

Business Hours (9 AM - 5 PM):
├─ High user load
├─ Kubernetes scales up pods: 50 → 150
└─ Response times maintained

Off Hours (6 PM - 8 AM):
├─ Low user load
├─ Kubernetes scales down pods: 150 → 30
└─ Cost savings (pay for what you use)

Black Friday (peak event):
├─ Extreme load
├─ Kubernetes scales to maximum: 30 → 500 pods in minutes
└─ No downtime, no performance degradation

// Hyperforce does NOT change governor limits
// Limits remain the same as classic Salesforce:
// - 100 SOQL queries per transaction
// - 150 DML statements
// - 6 MB heap size (sync), 12 MB (async)

// But: Infrastructure scales to handle more concurrent users

Phase 1: Assessment (Salesforce internal)
├─ Analyze org size, customizations
├─ Identify any incompatible features
└─ Plan migration window

Phase 2: Pre-Migration (Customer notified)
├─ Salesforce sends notification (90 days notice)
├─ Customer tests in sandbox (migrated first)
└─ Customer validates functionality

Phase 3: Migration (Weekend maintenance window)
├─ Backup all data
├─ Replicate data to Hyperforce
├─ Cutover DNS (redirect traffic)
└─ Validate migration success

Phase 4: Post-Migration
├─ Monitor performance
├─ Support customer issues
└─ Decommission old infrastructure

Downtime: Typically <2 hours

// Your Apex code works identically on Hyperforce
public class MyController {
    public List<Account> getAccounts() {
        return [SELECT Id, Name FROM Account LIMIT 10];
    }
}

// No changes needed
// Same APIs, same limits, same behavior

1. Salesforce migrates your sandbox first
2. Test all critical functionality:
   ├─ Custom Apex classes
   ├─ Triggers and workflows
   ├─ Integrations (API callouts)
   ├─ Lightning components
   └─ Reports and dashboards

3. Validate performance:
   ├─ Run load tests
   ├─ Check API response times
   └─ Verify batch jobs complete

4. Report any issues to Salesforce
5. Production migration scheduled after sandbox validated

// Query org's Hyperforce region (API 62.0+)
Organization org = [SELECT Id, InstanceName, InfrastructureRegion__c FROM Organization LIMIT 1];
System.debug('Region: ' + org.InfrastructureRegion__c); // 'aws-us-east-1'

// Check if org is on Hyperforce
System.debug('Is Hyperforce: ' + org.IsHyperforce__c); // true

Traditional: Salesforce API → Public Internet → Your API
Security: TLS encryption, but still public internet

Hyperforce PrivateLink: Salesforce API → Private Network → Your API
Security: Never touches public internet, lower latency

Setup:
1. Create VPC Endpoint (AWS) or Private Endpoint (Azure)
2. Salesforce provides service endpoint name
3. Configure Named Credential in Salesforce with private endpoint
4. API calls route over private network

// Named Credential uses PrivateLink endpoint
// Setup → Named Credentials → External API (PrivateLink)
// URL: https://api.internal.example.com (private endpoint)

// Apex callout
HttpRequest req = new HttpRequest();
req.setEndpoint('callout:ExternalAPIPrivateLink/data');
req.setMethod('GET');

Http http = new Http();
HttpResponse res = http.send(req);

// Callout never leaves private network
// Lower latency, higher security

Salesforce publishes metrics to your cloud account:
├─ API request volume
├─ API response times
├─ Error rates
├─ Governor limit usage
└─ Batch job completion times

Benefits:
- Unified monitoring (Salesforce + your apps)
- Custom alerting (CloudWatch Alarms)
- Cost attribution (AWS Cost Explorer)