🟧 AWS

Landing Zones, Secure Workloads & Cloud-Native at Enterprise Scale

Amazon Web Services (AWS) gives you the building blocks to run anythingβ€”from web apps to AI training to global data platforms.
SolveForce designs AWS environments that are secure by default, governed, cost-efficient, and ops-ready: multi-account landing zones, network & identity guardrails, automation (IaC/DevOps), and day-2 operations wired to evidence.

Where this fits in our system:
☁️ Cloud β†’ Cloud β€’ πŸ”— On-ramps β†’ Direct Connect β€’ 🌍 Delivery β†’ CDN
πŸ”’ Security β†’ Cybersecurity β€’ πŸ“Š SIEM/SOAR β†’ SIEM / SOAR
🧱 IaC/DevOps β†’ Infrastructure as Code β€’ DevOps / CI-CD
πŸ’° Cost β†’ FinOps β€’ πŸ”‘ Keys β†’ Key Management / HSM β€’ Encryption


🎯 Outcomes (Why SolveForce on AWS)

  • Secure landing zone β€” multi-account, identity-first, least-privilege with guardrails.
  • Deterministic network & access β€” private on-ramps, segmented VPCs, policy-as-code. β†’ Direct Connect
  • Automated builds β€” everything as code (accounts, VPCs, IAM, pipelines). β†’ Infrastructure as Code
  • Day-2 ready β€” monitoring, SIEM/SOAR hooks, DR runbooks, test-restore evidence. β†’ SIEM / SOAR β€’ DRaaS
  • Cost control β€” tagging, budgets/alerts, rightsizing, commitment planning. β†’ FinOps

🧭 AWS Scope (What we build & run)

  • Accounts & Organizations β€” multi-account strategy (prod/non-prod/shared services), SCPs, guardrails.
  • Networking β€” VPC designs (subnets, routing, NAT/IGW/EIGW), Transit Gateway, private service endpoints, Direct Connect hubs. β†’ Direct Connect
  • Identity β€” AWS SSO/Identity Center federation with your IdP; short-lived roles; least privilege. β†’ IAM / SSO / MFA
  • Compute β€” EC2 Auto Scaling, ECS/Fargate, EKS (Kubernetes), Lambda (serverless). β†’ Kubernetes β€’ Serverless
  • Data β€” RDS/Aurora, DynamoDB, S3 lake, Glue, Redshift/EMR/lakehouse patterns. β†’ Data Warehouse / Lakes β€’ ETL / ELT
  • AI/ML β€” GPU fleets for training/inference, SageMaker pipelines, vector DB integrations. β†’ Bare Metal & GPU Compute β€’ Vector Databases & RAG
  • Security & keys β€” KMS/CloudHSM, Secrets Manager, WAF/Bot, GuardDuty/Detective, Config, Audit Manager. β†’ Key Management / HSM β€’ WAF / Bot Management
  • Backup & DR β€” EBS/EFS/RDS snapshots, cross-region copies, S3 Object Lock, runbooks & drills. β†’ Cloud Backup β€’ DRaaS

🧱 Landing Zone (Secure by Default)

  • Organizations & accounts β€” prod / non-prod / shared services / security / audit; SCPs to restrict risky APIs.
  • Identity & access β€” federate SSO/MFA, role-based access (least privilege), session limits; admin identities separate. β†’ IAM / SSO / MFA
  • Network guardrails β€” baseline VPC templates, Transit Gateway hubs, dedicated inspection VPCs, private endpoints to core services.
  • Logging & evidence β€” org-wide CloudTrail, Config, flow logs, GuardDuty β†’ centralized log archive β†’ SIEM. β†’ SIEM / SOAR
  • Encryption & keys β€” KMS CMKs per account/region, key aliases, rotation, CloudHSM where required; envelope encryption patterns. β†’ Encryption β€’ Key Management / HSM

πŸ”— Connectivity & Delivery (Fast paths, private by default)

  • Private on-ramps β€” Direct Connect into hub colos; dual ports/sites; BGP policy & LAG for resilience. β†’ Direct Connect
  • Edge β€” CDN for acceleration/offload; WAF/Bot at POP; origin cloaking + mTLS back to AWS. β†’ CDN β€’ WAF / Bot Management β€’ Encryption
  • Hybrid WAN β€” SD-WAN to hubs with per-app SLO steering; Anycast for global entry points. β†’ SD-WAN β€’ BGP Management

☁️ Compute Patterns (Pick the right engine)

  • EC2 Auto Scaling β€” stateful/stateless servers, launch templates, warm pools for low churn.
  • ECS/Fargate β€” containerized apps without cluster ops; per-service IAM, task-level security.
  • EKS (Kubernetes) β€” cluster-as-code, managed node groups, CNI choices, service mesh (mTLS, policy). β†’ Kubernetes
  • Lambda (Serverless) β€” event-driven, pay-per-ms; Step Functions for workflows; API Gateway for front doors. β†’ Serverless
  • GPU clusters β€” p4/p5 families, managed spot fleets, NCCL-aware networking for training. β†’ Bare Metal & GPU Compute

πŸ—„οΈ Data & Analytics (Warehouse/Lake/Lakehouse)

  • S3 + Lake Formats β€” Parquet/ORC + Iceberg/Delta/Hudi tables; lifecycle policies; Object Lock for immutability.
  • Ingest β€” Kinesis/MSK (Kafka), DMS/CDC, Glue jobs; dbt & SQL ELT. β†’ ETL / ELT
  • Serve β€” Redshift/Spectrum, Athena, EMR/Databricks SQL Warehouse; semantic layer + BI. β†’ Data Warehouse / Lakes
  • AI/RAG β€” publish curated tables to vector indexes; guarded retrieval with citations. β†’ AI Knowledge Standardization β€’ Vector Databases & RAG

πŸ”’ Security Controls (Concrete, enforceable)

  • Account factory & guardrails β€” create accounts via pipeline; SCPs for deny-by-default high-risk actions.
  • Network segmentation β€” per-tier VPCs, security groups (least privilege), NACL boundaries; inspection VPC for north-south.
  • Identity β€” SSO/MFA, role session TTLs, permission boundaries, access analyzer; JIT elevation via PAM. β†’ PAM
  • Secrets & keys β€” Secrets Manager / Parameter Store; KMS/HSM for CMK/KEK/DEK hierarchy; dual-control for key ops. β†’ Key Management / HSM
  • Boundary & bots β€” WAF managed + positive models; Bot management for stuffing/carding/scrape control. β†’ WAF / Bot Management
  • Detection & IR β€” GuardDuty/Detective -> SIEM/SOAR; SOAR playbooks for block/isolate/revoke/snapshot. β†’ SIEM / SOAR

πŸ’Ύ Backup, DR & Immutability

  • Backups β€” EBS/EFS/RDS snapshots, S3 versioning + Object Lock (Governance/Compliance). β†’ Cloud Backup
  • Cross-region β€” snapshot copy & replication; DNS & infrastructure failover runbooks.
  • DRaaS β€” pilot-light/warm standby/full hot; RPO/RTO SLAs documented & tested with artifacts. β†’ DRaaS
  • Evidence β€” restore screenshots, checksums, time-to-first-byte; exports to SIEM for audits. β†’ SIEM / SOAR

πŸ’° FinOps (Predictable cost, no surprises)

  • Tagging & allocation β€” account/OUs + tag policies; dashboards by BU/product/env.
  • Commit planning β€” Savings Plans/Reserved Instances hygiene; Spot where safe.
  • Rightsizing & scheduling β€” idle stops, scale-to-zero serverless patterns.
  • Storage lifecycle β€” S3 Standard β†’ IA β†’ Glacier tiers with retrieval time SLAs.
  • Egress awareness β€” CDN offload, granular restores, private endpoints. β†’ CDN β€’ Cloud Backup
  • Governance β€” budgets, alerts, anomaly detection, change reviews. β†’ FinOps

πŸ› οΈ Automation & Ops (Everything as Code)

  • IaC β€” Terraform/CloudFormation/CDK; reusable modules; pipelines for plan/apply with approvals. β†’ Infrastructure as Code
  • CI/CD β€” CodePipeline/GitHub/GitLab; Canary/Blue-Green; artifacts signed (JWKS/PKI) & verified. β†’ DevOps / CI-CD β€’ PKI
  • Observability β€” CloudWatch/Lambda Telemetry/OpenTelemetry β†’ central analytics; SLO dashboards.
  • Security analytics β€” CloudTrail/Config/GuardDuty/ALB/WAF/S3 access logs β†’ SIEM; SOAR playbooks for auto-contain. β†’ SIEM / SOAR

πŸ“ SLO Guardrails (Experience & safety you can measure)

SLO / KPITarget (Recommended)
Direct Connect attach (p95)≀ 2–5 ms to region border (metro)
ALB/CloudFront added latency (p95)≀ 5–20 ms at edge
EC2 scale-out to healthy (p95)≀ 2–5 min (AMI warm pool helps)
EKS node join (p95)≀ 3–6 min
Backup success (rolling 30d)β‰₯ 99%
Test-restore cadenceMonthly tier-1; Quarterly others
Policy deploy β†’ live (p95)≀ 60–120 s (WAF/IAM/SCP with rings)
Evidence completeness100% (changes, restores, incidents)

SLO breaches open tickets and trigger SOAR actions (rollback, relax rule, promote capacity). β†’ SIEM / SOAR


πŸ§ͺ Reference Patterns (By outcome)

A) Internet-facing web/API

B) Data platform / AI

C) Regulated workloads (HIPAA/PCI)

  • CMK/HSM custody; Object Lock; ZTNA for admin; SASE egress; immutable logs to SIEM; evidence packs. β†’ Key Management / HSM β€’ ZTNA β€’ SASE

D) Hybrid enterprise

  • Dual-site Direct Connect; Transit Gateway hub-and-spoke; SD-WAN integration; Anycast front doors; shared services account.

πŸ“œ Compliance Mapping (Examples)

  • PCI DSS β€” encryption, segmenting CDE, logging, WAF evidence.
  • HIPAA β€” ePHI safeguards, audit controls, key custody.
  • ISO 27001 β€” operations security, access control, incident evidence.
  • NIST 800-53/171 β€” AC/AU/SC families; cloud-specific controls via Config/GuardDuty.
  • CMMC β€” identity, segmentation, audit, incident response maturity.

All mapped to AWS services + SolveForce runbooks; artifacts stream to SIEM with WORM options. β†’ SIEM / SOAR


πŸ› οΈ Implementation Blueprint (No-surprise rollout)

  1. Assess & plan β€” workloads, data classes, RPO/RTO, compliance targets.
  2. Design landing zone β€” accounts/OUs, guardrails/SCPs, identity federation, logging. β†’ IAM / SSO / MFA
  3. Network β€” VPCs, Transit Gateway, endpoints, Direct Connect hubs; DNS strategy. β†’ Direct Connect
  4. Security & keys β€” KMS/HSM, Secrets Manager, baseline WAF/Bot; SIEM/SOAR wiring. β†’ Key Management / HSM β€’ WAF / Bot Management β€’ SIEM / SOAR
  5. IaC/CI-CD β€” modules, pipelines, controls; change & approval flows. β†’ Infrastructure as Code β€’ DevOps / CI-CD
  6. Backup/DR β€” snapshots, cross-region copy, Object Lock, DR drills & evidence. β†’ Cloud Backup β€’ DRaaS
  7. Observability/FinOps β€” SLO dashboards; budgets/alerts; commitment plan. β†’ FinOps
  8. Operate & tune β€” weekly posture & cost reviews; quarterly DR tests; publish RCAs & improvements.

βœ… Pre-Engagement Checklist

  • 🧭 Workload inventory (risk tiers, data classes, owners).
  • πŸ” Compliance goals (PCI/HIPAA/ISO/NIST/CMMC) & evidence format.
  • 🌐 Network plan (on-ramps, DNS, VPC topology).
  • πŸ”‘ Key/secret posture (KMS/HSM, rotation, vault).
  • πŸ›‘οΈ Security stack (WAF/Bot, GuardDuty, Config, SIEM/SOAR).
  • 🧱 IaC/CI-CD standards; change approvals.
  • πŸ’Ύ Backup/DR policies; test-restore schedule.
  • πŸ’° Budget guardrails; tagging taxonomy; cost alerts.

πŸ”„ Where AWS Fits (Recursive View)

1) Grammar β€” traffic & control ride Connectivity & Networks & Data Centers.
2) Syntax β€” AWS resources compose in Cloud patterns (serverless, containers, lakehouse).
3) Semantics β€” Cybersecurity preserves truth; KMS/HSM prove key custody.
4) Pragmatics β€” SolveForce AI predicts capacity, cost, and risk, and auto-tunes policies.
5) Foundation β€” consistent terms via Primacy of Language.
6) Map β€” indexed across the SolveForce Codex & Knowledge Hub.


πŸ“ž Build & Run AWS with Security, Speed & Evidence

Related pages:
Cloud β€’ Direct Connect β€’ CDN β€’ WAF / Bot Management β€’ Cloud Backup β€’ DRaaS β€’ Kubernetes β€’ Serverless β€’ Bare Metal & GPU Compute β€’ FinOps β€’ Cloud IAM / MFA β€’ Secrets Management β€’ Infrastructure as Code β€’ DevOps / CI-CD β€’ Encryption β€’ Key Management / HSM β€’ SIEM / SOAR β€’ Cybersecurity β€’ Knowledge Hub