| ACME CORPORATION — CLOUD INFRASTRUCTURE TECHNICAL SPECIFICATION |
| Document Version: 2.4.1 | Last Updated: January 2025 | Classification: Internal |
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| 1. EXECUTIVE SUMMARY |
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| 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." |
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| 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. |
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| 2. ARCHITECTURE OVERVIEW |
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| 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. |
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| 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 |
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| 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. |
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| 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). |
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| 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. |
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| Internal service-to-service communication uses mTLS enforced by Istio service mesh. |
| Certificate rotation occurs every 72 hours via cert-manager. |
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| 3. SECURITY REQUIREMENTS |
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| 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. |
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| 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. |
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| 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. |
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| 4. DEPLOYMENT PROCEDURES |
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| 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 |
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| 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. |
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| 5. MONITORING AND OBSERVABILITY |
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| 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 |
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| SLO targets: |
| - API availability: 99.95% (monthly) |
| - API latency p99: < 200ms |
| - Data pipeline freshness: < 15 minutes |
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| 6. COST MANAGEMENT |
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| 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 |
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