API & SYSTEMS INTEGRATION

Systems connected with intent.

APIs, webhooks, data flows, authentication, background jobs, and external services connected through clear, maintainable integration boundaries.

From contract design and data mapping to retries, observability, and recovery, each connection is engineered as part of the production system rather than treated as one-off glue code.

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CONTRACTS

API contracts

TRANSFORM

Data mapping

EVENTS

Event delivery

API

Integrations

API Systems Engineering

Integrations built as part of the system.

Explicit API contracts

REST, GraphQL, custom endpoints, authentication, scopes, and versioning made reviewable before the connection grows.

Reliable event workflows

Webhooks, queues, background jobs, retries, idempotency, and rate limits treated as part of the integration design.

Observable system handoffs

Logs, validation, recovery, and ownership boundaries leave the next action clear when a provider or destination fails.

Built for systems that need to stay connected

API and systems integration across products, CRM, ERP, commerce, CMS, payments, automation, and internal services.

API & SYSTEMS INTEGRATION

Systems connected through clear boundaries.

Connect products, CRM, ERP, payments, commerce, automation, search, and external services through explicit integration boundaries.

CRM / ERPSynchronize customer, operational, and business records with the systems that own them.

Payments & CommerceConnect payment providers, commerce platforms, checkout, and commerce workflows through explicit contracts.

REST / GraphQL APIsExpose and consume versioned API surfaces with scoped authentication and validated payloads.

Automation & SearchTrigger background workflows, indexing, scheduled actions, and external automation without fragile glue.

02. INTEGRATION PLATFORM

Extend the system without losing the contract.

Adapters, services, queues, and provider boundaries developed as maintainable parts of one connected system.

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INTEGRATION CORE

Built to connect.

A maintainable foundation for contracts, transformations, events, retries, and operational handoffs.

Explicit system boundaries

Keep provider assumptions, data mapping, and business decisions visible instead of hiding them in a one-off adapter.

Recoverable workflows

Connect events, background work, retries, and operator follow-up through a deliberate delivery path.

API Contracts

REST, GraphQL, custom endpoints

Data Mapping

Validation, transformation, business rules

Reliable Delivery

Webhooks, queues, retries, idempotency

Operational Handoff

Logs, monitoring, ownership, recovery

Connected systems built for real operations.

An integration experience shaped across contracts, event delivery, recovery paths, and the operational layer behind every handoff.

Contract Design

Versioned request and response shapes, authentication scopes, validation, and provider assumptions kept explicit.

Contract

Event Workflows

Webhooks, queues, background jobs, retries, rate limits, and idempotency shaped around the real delivery path.

Deliveryobserved

Recovery & Ownership

Logs, alerts, replay decisions, and the next owner remain clear when a provider or destination cannot continue.

READYRECOVERY

TECH STACK

The tools behind our integration engineering.

A practical stack for API contracts, webhooks, background workflows, data transformation, observability, and connected production systems.

REST API
GraphQL
Webhooks
Node.js
TypeScript
NestJS
Redis

API and systems integration questions

Practical answers about API contracts, webhooks, authentication, data mapping, retries, queues, observability, and external systems.

Yes. Authentication, limits, data models, events, failure behavior, and change ownership are reviewed before implementation.

Yes. Webhooks need validation, idempotency, retries, observability, and a clear downstream owner.

Stable identifiers, idempotency keys, and a stored processing decision are used where the workflow requires them.

Credentials, scopes, rotation, tenant boundaries, provider permissions, and secret ownership are made explicit and testable.

Yes. Field names, identifiers, statuses, timestamps, optional values, and business rules are translated in an explicit boundary.

Retry policy, backoff, rate-limit behavior, dead-letter or follow-up paths, and safe replay are shaped around the provider and workflow.

Queues and workers are useful when delivery can be asynchronous, retried, rate-limited, or separated from the user-facing request path.

Often. A bounded adapter or workflow boundary can reduce risk while the larger system stays in place.

The system should leave a useful trail: what stopped, what can be retried, what was accepted, and which owner takes the next action.

Yes. Ongoing work can cover provider changes, monitoring, failed deliveries, documentation, safe releases, and the next integration boundary.

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