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The most expensive integration mistakes happen before the first API call is made. A message topology that can't support the eventual consistency requirements of the business. An event schema that forces all consumers to change whenever the producer adds a field. An error handling model that silently drops failed messages without alerting. An authentication design that requires shared credentials instead of service-to-service identity.
Integration requirements from business stakeholders (what data needs to move, when, and why) combined with technical requirements from system owners (API capabilities, rate limits, authentication support, payload formats).
Integration topology diagram showing all systems, data flows, and communication patterns. Pattern selection documented with rationale — why event-driven here, why synchronous request-response there.
API and message contracts for every integration point. Reviewed with consuming teams before finalization — changes after this point require a formal change control process.
Bring us the constraint. We'll bring the team.
These are architectural mistakes. Once integrations are running in production and business processes depend on them, fixing the architecture requires taking systems offline. The right time to solve them is before anything is built.
We produce integration architecture blueprints as a distinct, documented phase — the same way we approach cloud architecture. Implementation does not start until the architecture is reviewed and approved.
A complete map of all systems involved in the integration scope, showing which systems communicate, the direction of data flow, the communication pattern for each exchange (synchronous request-response, asynchronous event, scheduled batch, streaming), and the integration platform components that mediate each connection.
For every integration point: the request and response schemas, the field definitions, the mandatory and optional fields, the error response formats, the versioning strategy, and the backward compatibility rules. Contracts are defined before implementation so that all consuming teams can develop against a stable interface.
How the integration layer handles failures: retry policies with exponential backoff and jitter, dead letter queue design, circuit breaker configurations, idempotency requirements and implementation patterns, and the alerting thresholds that trigger operational response.
Service-to-service authentication model (OAuth 2.0 client credentials, mTLS, API keys — with documented rationale for each). Token lifecycle management. Data masking requirements for sensitive fields in transit. Audit logging requirements for regulated data exchanges.
Every significant architectural decision documented with context, the options considered, the decision made, and the rationale. These records become the institutional memory for the integration layer and the reference point when changes are proposed later.
Error handling model, retry and backoff configuration, idempotency requirements, and security architecture — documented with enough specificity that implementation teams can build against it without further architectural clarification.
Architecture document presented to technical stakeholders, integration platform team, and security review if required. Changes incorporated, final version signed off before implementation begins.