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Cloud platform architecture

AWS landing zones shaped to workload ownership

Separate accounts, identity, networks, and managed services deliberately so modernization does not outrun operational control.

AWS · Technology detail

Primary intent: AWS cloud architecture, managed services and workload modernization

ScopeAccounts / envs
ComputeManaged services
ControlIAM / network
OpsObservability

Capability system

Multi-account

Org-ready account boundaries.

  • Networking

    VPC, subnets, PrivateLink.

  • IAM

    Role-based access design.

  • Managed data

    Relational and object storage.

  • Autoscaling

    Capacity responding to demand.

  • Observability

    Metrics, logs, traces.

Illustrative flow

Environment promotion

Stage 1 / 4

Provision

Define accounts and baseline networks.

Workload Landing Zone Map

Choose a workload lens to emphasize environment, identity, and operational boundaries—no cost or service-count simulation.

Choose a workload lens to emphasize environment, identity, and operational boundaries—no cost or service-count simulation.

Static view: accounts and environments, identity, network, compute, data, observability, and recovery remain distinct ownership layers regardless of workload.

Web platform

Public web/API surfaces with controlled data tiers.

  1. Account/env
  2. Identity
  3. Network
  4. Compute
  5. Data
  6. Observability

Responsibilities

  • Edge/TLS ownership
  • App deploy path
  • Data backup owners

Tradeoff: Convenience networking shortcuts expand blast radius.

Web platform layer flowAccount/envIdentityNetworkComputeDataObservability

Workloads this platform addresses

AWS is a cloud provider platform. Differentiate from Terraform (IaC), Kubernetes (orchestration), and Azure/Google Cloud by workload fit—not superiority marketing.

  • Multi-environment cloud foundations for product platforms
  • Managed data and integration services with clear ownership
  • Modernization paths that preserve operational boundaries

What we build with AWS

Illustrative delivery shapes—not a guaranteed catalog.

  • Landing-zone foundations

    Account/environment patterns with identity and network baselines.

  • Application platforms

    Compute and delivery patterns matched to web, API, and event workloads.

  • Operational guardrails

    Logging, budgets, and recovery expectations without invented SLAs.

Architecture and deployment model

Platform role

  • Primary cloud provider for compute, storage, and managed services
  • Shared-responsibility security model with customer configuration ownership
  • Integration surface for CI/CD, IaC, and container platforms

Architecture layers

  • Organization / accounts / environments
  • Identity boundary and network controls
  • Compute, data, and integration services
  • Observability and recovery paths

Landing zone map

Account/environment → identity → network → compute → data → observability → recovery.

Environment strategy

Isolate prod from non-prod with deliberate promotion paths—avoid shared blast-radius shortcuts.

Ops ownership

Managed services reduce undifferentiated work; they do not remove architecture or incident ownership.

Security and shared responsibility

Shared responsibility

  • Provider secures underlying facilities and managed control planes
  • Customers own IAM, encryption choices, network exposure, and app hardening
  • No claim that defaults alone produce a secure system

Identity and access

  • Least-privilege roles and human/machine identity separation
  • Break-glass procedures documented and reviewed
  • Secrets outside source control

Networking

  • Private pathways for data stores where required
  • Explicit egress and ingress controls
  • DNS and TLS ownership documented

Reliability, scaling and operations

Observability

  • Centralized logs/metrics/traces with retention policy
  • Alerting tied to user-impacting signals
  • Runbooks for common failure modes

Reliability / recovery

  • Backup and restore tested for critical data
  • Multi-AZ or multi-region only when workload justifies complexity
  • No fabricated uptime percentages

Scaling

  • Scale policies matched to measurable demand
  • Capacity and cost reviewed together
  • Autoscaling is not automatic cost efficiency

Delivery, automation and cost governance

Delivery workflow

  • Promote through environments with review gates
  • Pair CI/CD with infrastructure change control
  • Rollback paths defined before release

Automation / IaC

  • Prefer declarative provisioning via Terraform or equivalent
  • Review plans for drift and blast radius
  • Automation does not remove cloud expertise needs

Cost / governance

  • Budgets and tagging for ownership
  • Right-size before expanding regions
  • No promised savings claims

Integration patterns

  • Terraform for infrastructure
  • GitHub Actions for delivery gates
  • Docker/Kubernetes where orchestration is justified
  • Node.js / NestJS / Python / .NET services on managed compute
  • PostgreSQL / Redis as managed data companions

When to choose / when not to choose

Choose when

  • You need broad managed-service depth and global regions
  • Workloads span compute, data, and integration services
  • Team can own IAM, networking, and cost controls

Reconsider when

  • A single static site fits a simpler deployment platform
  • Organization lacks capacity for shared-responsibility ops
  • Another provider already anchors identity and compliance

Tradeoffs

  • Service breadth increases decision and cost complexity
  • Managed convenience still requires governance
  • Multi-cloud without need multiplies ops burden

Migration / modernization notes

  • Inventory dependencies before lift-and-shift vs re-platform decisions
  • Migrate data with tested cutover and rollback criteria
  • Do not equate migration completion with operational maturity

Proof and capability boundary

Capability-level cloud architecture guidance. Portfolio references show related delivery contexts—not AWS partnership or named-client certification.

No partner badges, SLA fabrications, infinite scale, or promised cost reduction.

Do you claim AWS partnership or certification here?

No. This page describes architecture capability. Partnership or certification claims require separate verified evidence.

Does AWS guarantee lower cost than other clouds?

No. Cost depends on architecture, usage, and governance. We do not invent savings percentages.

Discuss AWS architecture

Share workload constraints and compliance needs—we will outline landing-zone and ownership boundaries.

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