The architecture grew organically
Services, accounts, subscriptions or network paths were added over time and the current design is difficult to explain or review as a whole.
Cloud Infrastructure Review
Find the architecture and operational risks that are hard to see from inside the platform.
A focused AWS or Azure infrastructure review covering architecture, networking, IAM, Infrastructure as Code, reliability, backups, observability and cost visibility.
When to use it
Useful when production works, but the platform has accumulated uncertainty and operational debt.
The review is designed for existing AWS or Azure environments where the next infrastructure decision needs evidence rather than another generic best-practice checklist.
Cloud changes feel risky
Infrastructure changes have large blast radius, unclear dependencies or insufficient rollback and validation practices.
IAM is hard to reason about
Roles, identities, service principals or permissions have accumulated and ownership or least-privilege boundaries are unclear.
Terraform is becoming fragile
State, modules, environment structure or reviewability make infrastructure changes harder than they should be.
Reliability assumptions are untested
Backups, failover paths, health checks or dependency behavior exist but are not clearly connected to recovery expectations.
Spend lacks technical context
Cloud costs are visible as totals, but it is unclear which architecture choices, unused resources or operating patterns are driving them.
Review scope
A cross-layer review of the platform, not a single-service audit.
Exact depth depends on environment size and access, but the review follows the same operating model across AWS and Azure.
Architecture
Service boundaries, account or subscription structure, shared dependencies, ingress and egress paths, and unnecessary coupling.
Networking
VPC or VNet design, routing, private access, DNS, load balancing, firewall boundaries and service-to-service connectivity.
Identity and access
IAM roles, managed identities, service principals, privileged paths, secret handling and machine-to-machine authentication.
Infrastructure as Code
Terraform or Terragrunt structure, state handling, module boundaries, drift risk and pull-request reviewability.
Reliability and recovery
Availability assumptions, backups, recovery paths, health checks, scaling behavior and dependency failure modes.
Observability and cost
Operational signal coverage, actionable alerting, ownership of cloud spend and architecture-level optimization opportunities.
Process
Start with evidence, rank the risks, then define what is actually worth changing.
The review avoids turning every deviation from a reference architecture into a remediation project.
Scope the environment
Identify business-critical workloads, accounts or subscriptions, regions, deployment paths and the decisions the review needs to support.
Collect evidence
Use read-only access where practical, Infrastructure as Code, diagrams, configuration exports, monitoring and focused technical discussions.
Map risks and dependencies
Separate immediate operational risk from maintainability issues and lower-priority architecture debt.
Prioritize remediation
Rank findings by impact, likelihood, effort and dependency rather than treating every issue as equally urgent.
Review the plan
Walk through findings, assumptions, implementation order and the decisions that should be made next.
Deliverables
Outputs that can be turned directly into engineering work.
The goal is not a long architecture report that becomes shelfware. Findings are structured around decisions, risk and implementation priority.
Findings and risk register
- Critical and high-priority findings
- Architecture and operational risks
- Evidence and affected components
- Recommended remediation direction
Prioritized implementation plan
- Quick wins and immediate safeguards
- Dependencies and sequencing
- Architecture options where tradeoffs exist
- 30, 60 and 90-day roadmap when useful
Evidence
Experience with cloud migration and private production architectures.
An anonymized case study shows the same cross-layer approach applied to a real AWS to Azure migration involving private networking, API ingress, Functions, PostgreSQL and staged production cutover.
Private API platform migration
Migration from AWS Lambda, API Gateway and RDS to Azure Application Gateway WAF, internal API Management, Functions and private PostgreSQL.
- Private ingress and database connectivity
- Managed identity and deployment constraints
- Security validation
- Staged cutover with the previous endpoint retained
Typical technical coverage
- Multi-account or multi-subscription environments
- Private networking and managed platform services
- Kubernetes, serverless and application platforms
- Terraform, Terragrunt and CI/CD integration
Commercial boundaries
A review is an assessment, not an unlimited implementation project.
Scope is confirmed before access. Large estates or unusually broad reviews may require a higher fixed price or a staged assessment.
Included
Review, findings, risk prioritization, recommendations and findings walkthrough within the agreed scope.
Not automatically included
Large-scale Terraform refactoring, migrations, production remediation, penetration testing or continuous cloud cost management.
Implementation available
Selected findings can move into a separately scoped remediation or implementation engagement from €2,500.
Need an independent view of your AWS or Azure platform?
Share the environment, the decision you are trying to make and the infrastructure risks you already suspect.