programmatic

AWS

AWS expertise for systems you can operate.

Plan and improve AWS architecture around compute, data, networking and operations. Review the existing estate, choose services for the workload and define the implementation path with clear ownership.

Platform architecture

An AWS workload is more than its compute layer

This reference view separates entry points, application execution, persistent data and operations. The final design may use managed services, containers or virtual machines; each choice changes the responsibilities your team retains.

AWS · system viewIllustrative architecture
  1. Entry and identity

    Route application traffic through the chosen endpoint and authorize users and services before protected operations.

    Boundary: Public entry points versus private resources

  2. Application compute

    Select functions, managed containers or virtual machines around execution patterns, dependencies and operational needs.

    Boundary: Runtime ownership and scaling behavior

  3. Data and integration

    Choose storage and messaging from consistency, access and recovery requirements; define how changes move between components.

    Boundary: Data ownership, persistence and failure handling

  4. Delivery and operations

    Connect versioned infrastructure, releases, telemetry and recovery procedures to accountable service owners.

    Boundary: Change approval, monitoring and restoration

Across the system

  • IAM permissions
  • Network boundaries
  • Recovery objectives
  • Cost attribution

Before choosing the stack

Decisions worth making early.

Managed services or a platform you operate?
Managed services can reduce maintenance work but introduce service constraints and usage costs. Compare them with your runtime needs and operating skills before adding a cluster or self-managed component.
One account or a structured account estate?
Review environment isolation, ownership, billing and access boundaries together. Account design should make responsibilities clear rather than copy an organizational chart without a workload reason.
What should an architecture review produce?
A prioritized set of decisions, risks and implementation increments, with owners and evidence needed for acceptance. A review is not a claim of certification or a guarantee of availability.
AWS architecture guidance

Vendor documentation informs platform selection; it does not imply a vendor partnership or certification.

Before you commit

Is this the right engagement?

Application hosting, data services and cloud infrastructure with explicit account, network and operating boundaries.

What we need from you
Existing account structure, workload diagrams, access policies, usage and cost reports, dependency lists and availability requirements.
How you accept the work
Review the agreed architecture against workload constraints and validate selected changes through access, deployment and recovery checks. Record remaining risks and operational ownership.
Scope & alternatives
This page covers AWS platform decisions across the estate. Use AWS Development for a defined application build, or Cloud Migration for workload moves and cutover planning.

Capabilities

What we can implement with AWS

Select the relevant work after reviewing your existing environment. The proposal records deliverables, dependencies and ownership.

01

Architecture and estate review

Map accounts, network paths, dependencies and service choices to the workload. Prioritize the changes that resolve a measured constraint.

02

Foundations and infrastructure

Implement agreed identity, environment and infrastructure-as-code patterns with change review, state ownership and recovery notes.

03

Data and application integration

Select interfaces and storage patterns around workload behavior, including timeouts, duplicate delivery and persistent-data recovery.

04

Operational improvement

Connect application signals, cloud consumption and incident history to a practical improvement backlog rather than a generic optimization checklist.

Frequently asked questions

Questions about AWS

01

How is AWS consulting different from AWS development?

Consulting establishes platform choices and improvements across architecture, data and operations. AWS development delivers application functionality within that environment. An engagement can combine both with separate deliverables.

02

Can you review an AWS environment without rebuilding it?

Yes. Start with the current topology, cost, incidents and delivery constraints. The result may be a small configuration change, a targeted migration or a documented decision to retain the existing design.

03

Do we have to move every workload to AWS?

No. Assess each workload against its dependencies, licensing, latency and operating requirements. Hybrid operation or retaining a system elsewhere may be the appropriate choice.

04

How do you assess reliability and cost together?

Agree service objectives and recovery requirements first. Compare changes using workload and usage evidence so a lower bill is not achieved by removing capacity or resilience the service requires.

05

What determines an AWS engagement estimate?

Account complexity, application dependencies, access readiness and the depth of validation shape the estimate. Platform charges and the engineering scope are identified separately in the proposal.

Start a conversation

Make the next AWS decision with a clear scope.

Bring the current architecture, the constraint and the outcome you need. We will identify the next useful increment and the evidence required to accept it.