v1.0.0 to v1.1.0

20 added, 185 removed. Audit B to B.

---
name: senior-cloud-architect
description:
license: MIT + Commons Clause
metadata:
- version: 1.0.0
+ version: 1.1.0
author: borghei
category: engineering
domain: cloud-architecture
- updated: 2026-03-31
+ updated: 2026-06-17
tags: [cloud, aws, gcp, azure, architecture, infrastructure, terraform]
---
# Senior Cloud Architect
- Expert cloud architecture and infrastructure design across AWS, GCP, and Azure.
+ Expert cloud architecture and infrastructure design across AWS, GCP, and Azure — production-grade VPC/compute/database topologies, cost optimization, disaster recovery, and security posture auditing.
## Keywords
cloud, aws, gcp, azure, terraform, infrastructure, vpc, eks, ecs, lambda,
cost-optimization, disaster-recovery, multi-region, iam, security, migration
- ---
-
- ## Quick Start
-
- ```bash
- # Analyze infrastructure costs
- python scripts/cost_analyzer.py --account production --period monthly
-
- # Run DR validation
- python scripts/dr_test.py --region us-west-2 --type failover
-
- # Audit security posture
- python scripts/security_audit.py --framework cis --output report.html
-
- # Generate resource inventory
- python scripts/inventory.py --accounts all --format csv
- ```
-
- ---
-
- ## Tools
-
- | Script | Purpose |
- |--------|---------|
- | `scripts/cost_analyzer.py` | Analyze cloud spend by service, environment, and tag |
- | `scripts/dr_test.py` | Validate disaster recovery failover procedures |
- | `scripts/security_audit.py` | Audit against CIS benchmarks and compliance frameworks |
- | `scripts/inventory.py` | Inventory all resources across accounts and regions |
-
- ---
-
- ## Cloud Platform Comparison
-
- | Service | AWS | GCP | Azure |
- |---------|-----|-----|-------|
- | Compute | EC2, ECS, EKS | GCE, GKE | VMs, AKS |
- | Serverless | Lambda | Cloud Functions | Azure Functions |
- | Storage | S3 | Cloud Storage | Blob Storage |
- | Database | RDS, DynamoDB | Cloud SQL, Spanner | SQL DB, CosmosDB |
- | ML | SageMaker | Vertex AI | Azure ML |
- | CDN | CloudFront | Cloud CDN | Azure CDN |
-
- ---
-
- ## Workflow 1: Design a Production AWS Architecture
-
- 1. **Define requirements** -- Identify compute, storage, database, and networking needs. Determine RTO/RPO targets.
- 2. **Provision VPC with Terraform:**
- ```hcl
- module "vpc" {
- source = "terraform-aws-modules/vpc/aws"
- version = "~> 5.0"
- name = "${var.project}-${var.environment}"
- cidr = var.vpc_cidr
- azs = ["${var.region}a", "${var.region}b", "${var.region}c"]
- private_subnets = var.private_subnets
- public_subnets = var.public_subnets
- enable_nat_gateway = true
- single_nat_gateway = var.environment != "production"
- enable_dns_hostnames = true
- tags = local.common_tags
- }
- ```
- 3. **Deploy compute** -- ECS/EKS in private subnets behind an ALB in public subnets. Use at least 2 AZs for redundancy.
- 4. **Configure database** -- RDS Multi-AZ for production, single-AZ for staging. Set backup retention to 30 days (production) or 7 days (non-production).
- 5. **Add caching layer** -- ElastiCache (Redis) between application and database.
- 6. **Layer security** -- WAF on CloudFront, NACLs on subnets, security groups on instances. Apply least-privilege IAM.
- 7. **Validate** -- Run `python scripts/security_audit.py --framework cis` and resolve all high-severity findings.
-
- ### Reference Architecture
-
- ```
- Route 53 (DNS) -> CloudFront + WAF -> ALB
- -> ECS/EKS Cluster (AZ-a) + ECS/EKS Cluster (AZ-b)
- -> ElastiCache (Redis)
- -> RDS Multi-AZ (Primary + Standby)
- ```
-
- ## Workflow 2: Optimize Cloud Costs
-
- 1. **Audit current spend** -- `python scripts/cost_analyzer.py --account production --period monthly`
- 2. **Right-size instances** -- Identify instances with avg CPU <10% and max CPU <30% as downsize candidates:
- ```python
- # Pseudocode for right-sizing logic
- if avg_cpu < 10 and max_cpu < 30:
- recommendation = 'downsize'
- elif avg_cpu > 80:
- recommendation = 'upsize'
- else:
- recommendation = 'optimal'
- ```
- 3. **Convert steady-state workloads** to Reserved Instances or Savings Plans:
- | Type | Discount | Commitment | Use Case |
- |------|----------|------------|----------|
- | On-Demand | 0% | None | Variable workloads |
- | Reserved | 30-72% | 1-3 years | Steady-state |
- | Savings Plans | 30-72% | 1-3 years | Flexible compute |
- | Spot | 60-90% | None | Fault-tolerant batch |
- 4. **Enforce cost allocation tags** -- Require `Environment`, `Project`, `Owner`, `CostCenter` on all resources. Alert on untagged resources after 24 hours.
- 5. **Validate** -- Re-run cost analyzer and confirm savings target achieved.
-
- ## Workflow 3: Plan Disaster Recovery
-
- 1. **Select DR strategy** based on RTO/RPO requirements:
- | Strategy | RTO | RPO | Cost |
- |----------|-----|-----|------|
- | Backup & Restore | Hours | Hours | $ |
- | Pilot Light | Minutes | Minutes | $$ |
- | Warm Standby | Minutes | Seconds | $$$ |
- | Multi-Site Active | Seconds | Near-zero | $$$$ |
- 2. **Configure cross-region replication** -- Database replication to secondary region. S3 cross-region replication for object storage.
- 3. **Set up Route 53 failover routing** -- Health checks on primary. Automatic DNS failover to secondary.
- 4. **Define backup policy:**
- - Database: continuous replication, 35-day retention, cross-region, encrypted
- - Application data: daily, 90-day retention, lifecycle to IA at 30d, Glacier at 90d
- - Configuration: on-change via git + S3, unlimited retention
- 5. **Test** -- `python scripts/dr_test.py --region us-west-2 --type failover` and confirm RTO/RPO targets met.
-
- ## Workflow 4: Audit Security Posture
-
- 1. **Run audit** -- `python scripts/security_audit.py --framework cis --output report.html`
- 2. **Review network segmentation** -- Public subnets contain only NAT GW, ALB, bastion. Private subnets contain application tier. Data subnets contain RDS, Redis, Elasticsearch.
- 3. **Enforce least-privilege IAM** -- Every policy scoped to specific resources and conditions:
- ```json
- {
- "Effect": "Allow",
- "Action": ["s3:GetObject", "s3:PutObject"],
- "Resource": "arn:aws:s3:::my-bucket/uploads/*",
- "Condition": {
- "StringEquals": { "aws:PrincipalTag/Team": "engineering" },
- "IpAddress": { "aws:SourceIp": ["10.0.0.0/8"] }
- }
- }
- ```
- 4. **Verify encryption** -- Data encrypted at rest (KMS) and in transit (TLS 1.2+).
- 5. **Validate** -- Re-run audit and confirm all critical and high findings resolved.
-
- ---
-
- ## AWS Well-Architected Pillars (Decision Checklist)
-
- - **Operational Excellence**: IaC everywhere? Monitoring and alerting? Runbooks for incidents?
- - **Security**: Least-privilege IAM? Encryption at rest and in transit? VPC segmentation?
- - **Reliability**: Multi-AZ? Auto-scaling? DR tested?
- - **Performance**: Right-sized instances? Caching layer? CDN for static assets?
- - **Cost Optimization**: Reserved capacity for steady-state? Spot for batch? Unused resources cleaned?
- - **Sustainability**: Efficient regions? Right-sized compute? Data lifecycle policies?
-
- ---
-
- ## Reference Materials
-
- | Document | Path |
- |----------|------|
- | AWS Patterns | [references/aws_patterns.md](references/aws_patterns.md) |
- | GCP Patterns | [references/gcp_patterns.md](references/gcp_patterns.md) |
- | Multi-Cloud Strategies | [references/multi_cloud.md](references/multi_cloud.md) |
- | Cost Optimization Guide | [references/cost_optimization.md](references/cost_optimization.md) |
-
- ---
+ ## Core Capabilities
- ## Troubleshooting
+ - **Production architecture design** — Terraform VPC, multi-AZ ECS/EKS behind ALB, RDS Multi-AZ, ElastiCache, layered WAF/NACL/SG security.
+ - **Multi-cloud comparison** — map equivalent compute, serverless, storage, database, ML, and CDN services across AWS, GCP, and Azure.
+ - **Cost optimization** — right-sizing, Reserved Instances/Savings Plans/Spot selection, cost-allocation tagging, budget alerting.
+ - **Disaster recovery** — Backup/Pilot Light/Warm Standby/Multi-Site strategy selection against RTO/RPO, cross-region replication, Route 53 failover.
+ - **Security posture** — CIS benchmark audits, network segmentation, least-privilege IAM with conditions, encryption at rest and in transit.
+ - **Well-Architected reviews** — checklist across all six pillars (operational excellence, security, reliability, performance, cost, sustainability).
- | Problem | Cause | Solution |
- |---------|-------|----------|
- | Cross-region latency exceeds 200ms | No regional caching or CDN configured | Deploy CloudFront/Cloud CDN with edge locations closest to user base; enable regional API Gateway caches |
- | Terraform state lock conflicts across teams | Shared state backend without proper locking | Use DynamoDB (AWS) or GCS (GCP) state locking with per-team state file partitioning via workspaces |
- | Multi-cloud DNS failover not triggering | Health check thresholds too lenient or misconfigured endpoints | Set health check interval to 10s, failure threshold to 3, and verify endpoint returns 200 on the exact path monitored |
- | IAM permission errors after cross-account migration | Trust policies not updated for new account IDs | Update AssumeRole trust policies with correct account principals and external IDs; validate with `aws sts assume-role` |
- | Cloud costs spike unexpectedly after scaling event | Auto-scaling max limits set too high or no budget alerts | Set hard max instance counts per ASG, configure billing alerts at 80%/100%/120% thresholds, and review Spot fallback behavior |
- | VPC peering routes not propagating between clouds | Route tables missing entries for peered CIDR ranges | Add explicit route entries in both VPCs pointing peered CIDRs to the peering connection; verify no overlapping CIDRs |
- | DR failover test fails with data inconsistency | Replication lag between primary and secondary regions | Switch to synchronous replication for critical databases or implement application-level consistency checks pre-failover |
+ ## When to Use
- ---
+ - Designing a new production cloud architecture or migration.
+ - Reducing cloud spend or planning reserved capacity.
+ - Planning or testing disaster recovery and failover.
+ - Auditing security posture against CIS benchmarks.
+ - Comparing AWS / GCP / Azure for a workload.
- ## Success Criteria
+ ## References
- - **99.99% availability SLA met** across all production workloads with documented uptime reports
- - **Cost optimization savings above 25%** compared to on-demand baseline through Reserved Instances, Savings Plans, and right-sizing
- - **RTO < 15 minutes and RPO < 1 minute** validated through quarterly DR failover tests
- - **Zero critical CIS benchmark findings** in production accounts after security audit remediation
- - **Infrastructure drift < 2%** measured by Terraform plan diffs on scheduled compliance scans
- - **Cross-region failover completes within 60 seconds** with automated Route 53 health check validation
- - **100% resource tagging compliance** enforced via automated policy checks with no untagged resources older than 24 hours
+ Load the reference that matches the task — keep this file lean and pull detail on demand:
- ---
+ - **[references/cloud-architecture-playbooks.md](references/cloud-architecture-playbooks.md)** — quick-start commands, the cloud platform comparison matrix, the four end-to-end workflows (AWS architecture, cost optimization, DR planning, security audit) with Terraform/IAM/cost code, and the AWS Well-Architected checklist. Read when designing, optimizing, or auditing an architecture.
+ - **[references/cloud-operations.md](references/cloud-operations.md)** — troubleshooting table (latency, state locks, failover, IAM, cost spikes, peering, replication) and the architecture success criteria. Read when diagnosing an issue or defining the quality bar.
## Scope & Limitations
**This skill covers:**
- Multi-cloud architecture design and comparison across AWS, GCP, and Azure
- Infrastructure-as-Code with Terraform including VPC, compute, database, and networking
- Disaster recovery planning, cross-region replication, and failover strategies
- Cloud cost optimization, right-sizing, and reserved capacity planning
**This skill does NOT cover:**
- Application-level code architecture or microservice design patterns (see `senior-architect`)
- Kubernetes cluster internals, pod scheduling, or service mesh configuration (see `senior-devops`)
- Security compliance frameworks beyond CIS benchmarks such as SOC 2, HIPAA, or GDPR (see `ra-qm-team/` compliance skills)
- CI/CD pipeline design, build automation, or deployment workflows (see `senior-devops`)
-
- ---
## Integration Points
| Skill | Integration | Data Flow |
|-------|-------------|-----------|
| `senior-devops` | Infrastructure provisioning feeds into CI/CD deployment pipelines | Terraform outputs (endpoints, ARNs) → deployment configs |
| `senior-secops` | Security audit findings inform cloud hardening decisions | CIS benchmark results → security remediation tasks |
| `senior-architect` | Application architecture requirements drive cloud resource selection | Capacity requirements → compute/storage/network sizing |
| `aws-solution-architect` | AWS-specific deep dives complement multi-cloud strategy | Cloud platform comparison → AWS implementation details |
| `ra-qm-team/soc2-compliance` | Compliance requirements shape infrastructure security controls | Compliance matrices → IAM policies, encryption configs, audit logging |
| `senior-fullstack` | Fullstack application stacks deploy onto cloud infrastructure | Application stack definitions → ECS/EKS task definitions, RDS configs |