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Technology ServicesSoftware ConsultingArchitectureVirginia · US-Based

Architecture Review

An architecture review is most useful before a major commitment is made — before a system is built on a foundation that will not support the load it needs to carry, or before a scaling effort that doubles infrastructure cost without addressing the actual bottleneck. We bring independent technical judgment to these decisions, grounded in what your system actually does rather than what it is supposed to do.

System designScalability reviewMicroservicesDatabase architectureAPI designCloud infrastructureTechnical debt

Capabilities

What an architecture review includes

Start on solid ground

Pre-build Architecture Planning

Reviewing a planned system architecture before development begins. Catching structural problems at the design stage costs far less than refactoring a built system. We review the proposed service boundaries, data model, API design, and deployment approach against the stated requirements and anticipated scale.

What you have and what it costs

Existing System Assessment

A structured review of an existing production system: service boundaries, data access patterns, coupling between components, infrastructure cost relative to load, and the areas of the codebase that concentrate the most technical debt and risk. The assessment produces a map of the system's constraints.

What breaks first under load

Scalability Review

Identifying the specific components that become bottlenecks under increased load before that load arrives. Database query patterns, caching strategy, connection pool configuration, and synchronous dependencies are common sources of scalability problems. We identify them with the specificity needed to address them.

Right-sizing the architecture

Microservices vs. Monolith Evaluation

Evaluating whether a monolith should be decomposed into services, or whether a planned microservices architecture is appropriate for the team size and delivery cadence. The answer depends on specifics, not on which approach is currently fashionable. We assess the actual cost and benefit in your context.

API dependencies and risk

Third-party Integration Review

Reviewing the third-party systems your application depends on: payment processors, communication platforms, data providers. Identifying where a dependency failure or API change would cause critical system failures, and recommending appropriate abstraction layers and fallback strategies.

Spend relative to need

Infrastructure Cost Review

Reviewing cloud infrastructure spend relative to actual system load and usage patterns. Identifying over-provisioned resources, idle services, and architectural choices that produce unnecessary spend — particularly in AWS environments where cost accumulates from architectural decisions made during earlier scaling efforts.

Our approach

We read the actual code and infrastructure

An architecture review based on what a team describes their system as doing is not a review; it is a conversation. We review the actual codebase, the actual infrastructure configuration, and the actual query patterns — because the most significant risks are usually in the gap between the described system and the real one.

Findings are prioritized by impact

A system review that produces a list of fifty improvements without indicating which three address 80 percent of the risk is not a useful document. We prioritize findings by potential impact and remediation cost, so that the team has a clear sense of where to direct attention first.

Trade-offs are explicit

Every architectural recommendation has a trade-off. We do not present the 'best practice' approach without acknowledging what it costs and under what conditions it is the right choice. Your team needs to understand the reasoning in order to make the decision confidently and extend it correctly over time.

The goal is a system your team can own

A perfectly architected system that your team does not understand and cannot maintain is not a success. Our recommendations take team size, experience level, and operational capacity into account. We recommend the simplest architecture that meets the requirements, not the most sophisticated one available.

arch_review_spec.json
review_scope: [
"Codebase",
"Infrastructure",
"APIs",
"Data model"
]
cloud: [
"AWS",
"GCP",
"Azure",
"Self-hosted"
]
deliverables: [
"Findings report",
"Roadmap",
"Decision brief"
]
timeline: [
"1–3 weeks"
]
format: [
"Fixed price"
]
engineering: [
"Virginia, United States"
]

All engineering work is done by US-based engineers. We do not offshore any development or architecture work.

Part of our Consulting practice

FAQ

Common questions

Virginia · United States

Not sure if your architecture will hold?

If you are heading into a scaling effort or a major change and want independent validation of the approach, reach out and we will scope a review.