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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.

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

ScopeAccounts / envs

ComputeManaged services

ControlIAM / network

OpsObservability

Workload Landing Zone Map

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.

Account/env
Identity
Network
Compute
Data
Observability

Responsibilities

Edge/TLS ownership
App deploy path
Data backup owners

Tradeoff: Convenience networking shortcuts expand blast radius.

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.

Begin stack consultation