Architecture and estate review
Map accounts, network paths, dependencies and service choices to the workload. Prioritize the changes that resolve a measured constraint.
Solutions
AWS
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
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.
Route application traffic through the chosen endpoint and authorize users and services before protected operations.
Boundary: Public entry points versus private resources
Select functions, managed containers or virtual machines around execution patterns, dependencies and operational needs.
Boundary: Runtime ownership and scaling behavior
Choose storage and messaging from consistency, access and recovery requirements; define how changes move between components.
Boundary: Data ownership, persistence and failure handling
Connect versioned infrastructure, releases, telemetry and recovery procedures to accountable service owners.
Boundary: Change approval, monitoring and restoration
Across the system
Before choosing the stack
Vendor documentation informs platform selection; it does not imply a vendor partnership or certification.
Before you commit
Application hosting, data services and cloud infrastructure with explicit account, network and operating boundaries.
Capabilities
Select the relevant work after reviewing your existing environment. The proposal records deliverables, dependencies and ownership.
Map accounts, network paths, dependencies and service choices to the workload. Prioritize the changes that resolve a measured constraint.
Implement agreed identity, environment and infrastructure-as-code patterns with change review, state ownership and recovery notes.
Select interfaces and storage patterns around workload behavior, including timeouts, duplicate delivery and persistent-data recovery.
Connect application signals, cloud consumption and incident history to a practical improvement backlog rather than a generic optimization checklist.
Frequently asked questions
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.
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.
No. Assess each workload against its dependencies, licensing, latency and operating requirements. Hybrid operation or retaining a system elsewhere may be the appropriate choice.
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.
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
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.