Architecture documentation describes what was intended. The Architecture Review starts from what was shipped.

Gradion reads the codebase, infrastructure configuration, and monitoring data before speaking to anyone. That sequence matters. The questions asked of engineers are better when the reviewer already understands the system, and the findings are grounded in what the system actually does under load, not what the team believes it does. The output is a written assessment with prioritised findings and recommendations - not a slide deck, not a summary of interviews.

Where governance allows, Gradion applies AI-assisted codebase analysis to compress the assessment timeline. Static analysis, dependency mapping, test coverage gaps, and architectural anti-patterns that would take weeks to surface manually are identified in days. The result is a faster, more complete diagnostic - and a finding list that reflects the actual codebase rather than what the team believes the codebase to be.

What the review covers

System topology and data flow

We map what actually exists - services, dependencies, data stores, integration points, external APIs - and compare it against available documentation. Gaps between the two are themselves findings. We trace data flows through the system to identify where coupling is tight, where boundaries are ambiguous, and where failure in one component propagates silently to others.

Scalability and load characteristics

We assess how the system behaves under load, based on current traffic data, database query patterns, and infrastructure configuration. This includes identifying stateful services that prevent horizontal scaling, missing caching layers, synchronous dependencies that create latency chains, and database schemas that will degrade as data volume grows.

Resilience and failure modes

We work through failure scenarios: what happens when a dependency goes down, when a queue backs up, when a deployment goes wrong. We assess retry logic, circuit breakers, fallback paths, and observability coverage. A system that works fine in normal operation but fails silently under stress is a liability that rarely shows up in standard code reviews.

Maintainability and operational cost

We evaluate the engineering overhead embedded in the current architecture: how hard it is to onboard new developers, how long deployments take, how much manual intervention routine operations require. Technical debt is real cost - we quantify it where we can and flag where it is accumulating fastest.

Security surface

We identify exposed attack surface at the architecture level: public endpoints that should not be public, over-permissioned service accounts, missing encryption in transit or at rest, authentication flows that bypass central identity, and infrastructure that carries production secrets in the wrong place.

What you receive

The output of an Architecture Review is a written assessment structured around findings and recommendations, not a slide deck summary of conversations. Findings are classified by severity and category. Recommendations are prioritized by impact and implementation complexity, so the first ten items on the list are the ones that give the most return for the effort.

For clients who need it, we extend the output to include a proposed target architecture with a migration sequence, dependency sequencing, and a realistic timeline. That extension is scoped separately.

How the engagement runs

A standard Architecture Review runs two to three weeks. Larger or more complex systems take longer; we scope that upfront and do not expand scope without agreement. The final session is a working review of findings with the technical team - not a presentation to an audience, but a conversation where the team can push back, add context, and help prioritize.

Who this fits

This engagement fits a small number of situations well: a new technical leader who needs an honest starting-state assessment, a board or investor who has received conflicting technical opinions, a team preparing for a significant migration or platform change, or an organization that has grown fast and suspects the architecture has not kept pace. If you are in a different situation, describe it and we will tell you whether this engagement fits or whether something else makes more sense.

Proof in production

A Swiss banking technology provider needed an architecture review across 300+ core banking applications before committing to a multi-year cloud migration. Gradion assessed the full application estate, identified the migration sequence, and defined a hybrid roadmap spanning five to seven years across Azure and Google Cloud. Every architectural decision was designed to satisfy FINMA requirements. The review gave the organisation a credible starting position rather than a set of competing opinions from vendors with something to sell.

A leading B2B marketplace, the operator of Germany's leading B2B surplus marketplace, had accumulated years of architectural complexity that made every deployment a risk. Engineers avoided touching core components; deployment frequency had dropped to protect stability. Gradion's architecture review identified the specific bottlenecks, after which a targeted refactoring programme containerised the services and restructured the release process. API latency dropped 70 percent. Deployment confidence recovered. The team expanded scope after the engagement rather than contracting it.

Let’s look at what you have.

Share the system overview and what you need to know. We will scope the review in one call.