ACME CORPORATION — CLOUD INFRASTRUCTURE TECHNICAL SPECIFICATION
Document Version: 2.4.1 | Last Updated: January 2025 | Classification: Internal

1. EXECUTIVE SUMMARY

ACME Corporation is migrating its core platform from on-premises data centers to a
hybrid cloud architecture using AWS and Google Cloud Platform (GCP). This document
specifies the technical requirements, architecture decisions, security controls,
and deployment procedures for the migration project codenamed "Project Nimbus."

The migration covers 47 microservices, 12 relational databases, and 3 data lakes
totaling approximately 85 terabytes of structured and unstructured data. The target
completion date is Q3 2025 with a total budget of $2.4 million.

2. ARCHITECTURE OVERVIEW

2.1 Compute Layer
All application workloads will run on Kubernetes (EKS on AWS, GKE on GCP) using
containerized deployments. Each microservice maintains its own Helm chart with
environment-specific values files for development, staging, and production.

Minimum pod specifications:
- API services: 2 vCPUs, 4GB RAM, 3 replicas
- Worker services: 4 vCPUs, 8GB RAM, 2 replicas
- ML inference: 8 vCPUs, 16GB RAM, 1 GPU (NVIDIA T4), 2 replicas

2.2 Storage Layer
Primary databases use Amazon Aurora PostgreSQL (version 15.4) with Multi-AZ
deployment and automated daily backups retained for 35 days. Read replicas are
deployed in us-east-1 and eu-west-1 for latency optimization.

Object storage uses S3 with intelligent tiering. Files not accessed for 90 days
automatically transition to S3 Glacier. All buckets enforce server-side encryption
using AES-256 (SSE-S3).

2.3 Networking
All VPCs use a hub-and-spoke topology connected via AWS Transit Gateway. Inter-region
traffic routes through dedicated VPN tunnels with AES-256 encryption. Public-facing
services are fronted by AWS CloudFront with WAF rules blocking OWASP Top 10 threats.

Internal service-to-service communication uses mTLS enforced by Istio service mesh.
Certificate rotation occurs every 72 hours via cert-manager.

3. SECURITY REQUIREMENTS

3.1 Identity and Access Management
All human access requires SSO via Okta with mandatory MFA (hardware key or TOTP).
Service accounts use short-lived tokens (maximum 1 hour) issued by AWS STS.
No long-lived access keys are permitted in any environment.

3.2 Data Protection
All data at rest is encrypted with AES-256. All data in transit uses TLS 1.3.
PII fields in databases are additionally encrypted at the application layer using
envelope encryption with KMS-managed keys. Key rotation occurs every 90 days.

3.3 Compliance
The platform must maintain SOC 2 Type II, HIPAA, and GDPR compliance. Audit logs
are shipped to a centralized SIEM (Splunk) with 365-day retention. All access to
production systems is logged and reviewed quarterly.

4. DEPLOYMENT PROCEDURES

4.1 CI/CD Pipeline
All deployments use GitHub Actions with the following stages:
1. Lint and static analysis (ESLint, pylint, Semgrep)
2. Unit tests (minimum 80% coverage required)
3. Integration tests against staging environment
4. Security scan (Snyk for dependencies, Trivy for container images)
5. Canary deployment to 5% of production traffic
6. Full rollout after 30-minute observation window

4.2 Rollback Procedures
If error rate exceeds 0.5% during canary phase, automatic rollback is triggered.
Manual rollback can be initiated by any on-call engineer via the deployment dashboard.
All rollbacks complete within 3 minutes using blue-green deployment strategy.

5. MONITORING AND OBSERVABILITY

Metrics: Prometheus + Grafana dashboards for all services
Logs: Structured JSON logging → Fluentd → Elasticsearch → Kibana
Traces: OpenTelemetry → Jaeger for distributed tracing
Alerts: PagerDuty integration with 5-minute SLA for P1 incidents

SLO targets:
- API availability: 99.95% (monthly)
- API latency p99: < 200ms
- Data pipeline freshness: < 15 minutes

6. COST MANAGEMENT

Monthly cloud budget: $200,000
Reserved instances cover 70% of baseline compute
Spot instances used for non-critical batch processing (60% cost reduction)
FinOps reviews conducted monthly with department-level chargeback reporting