Architecture & API design
Design clear domains, boundaries, data models, and APIs that make the system easier to understand and change.
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Capability 03 / 06
Backend & systems
Fast. Reliable. Properly engineered.
The part nobody sees when it works — and everybody notices when it doesn't. We build backends that are fast, reliable, and ready for real-world load.
ArchitectureAPIsPerformanceReliability
How we think about it
Give the product a foundation that stays understandable under pressure.
Backends are felt at their edges. Nobody praises an API on a good day, but everyone meets the system the afternoon a report will not reconcile or a checkout double-charges.
Our work is to make those days rare and legible: boundaries that match the business, data models that refuse invalid states, and operations calm enough that nobody needs a hero.
Scope
What the engagement can include.
Services & integrations
Build APIs, workers, queues, and integrations that handle real workloads and fail predictably.
Performance & reliability
Improve performance, testing, observability, and operational behavior so the system keeps doing its job.
How we work
Three commitments we bring to every engagement.
Begin at the failure modes
Backend failures are felt at the edges: the report that will not reconcile, the checkout that double-charges, the sync that silently drops records. We start from those failure modes and work backward to the model.
Model the business, not the forms
We draw domain boundaries around how your business actually behaves — entities, events, and invariants expressed in the schema itself — so the system explains its behavior instead of depending on tribal knowledge.
Ship observable by default
Everything ships observable: structured logs, metrics, and runbooks written alongside the code, so the team that inherits the system can operate it under pressure without calling us first.
A typical engagement
Movements, adapted to the problem.
Modeling comes before migration in every engagement — changing code you do not understand only moves the mystery somewhere else.
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Model the real system
We map the business rules and failure modes that matter, then design boundaries that keep change local.
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Make operations boring
Observability, migrations, and handoff are part of the build so the system remains useful after launch.
What good looks like
Clear domain boundaries
Entities, events, and invariants expressed in the schema itself — the system explains its own behavior.
Predictable APIs and data flows
Behavior under load and failure is documented and observable, not discovered by customers first.
Operational visibility from day one
Runbooks and signals ship with the code, ready for the team that inherits them.
These are standing acceptance criteria, not aspirations. If any of them is not true at handoff, that is the first conversation we want to have.
Backend & systems, applied to your context
Bring us the version of this problem you have today.
A rough brief, a fragile system, or a decision you keep deferring is enough to start. We’ll help shape a useful first move.