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Integration FastTrack

Production-ready connectors between your systems, with contract tests, retry and idempotency logic, and dual-run reconciliation before cutover.

Timeline
3-6 weeks depending on protocol count and vendor responsiveness
Team
Integration lead, BE, BE/SRE, QA, architect; optional security reviewer
Typical stack
Middleware: MuleSoft, Boomi, Apache Camel, Node.js/Python. Message Brokers: Kafka, RabbitMQ, AWS SQS/SNS. API Management: Kong, Apigee, AWS API Gateway. Contract Testing: Pact, Postman/Newman. Monitoring: Datadog, Prometheus + Grafana.

What you get

  • Spec pack: sequence diagrams, auth scopes, OpenAPI/Protobuf/Avro/JSON schema
  • Test harness: unit/contract/integration; replayable fixtures; mock servers
  • Error taxonomy + retry/backoff and idempotency keys
  • Reconciliation jobs + variance dashboards; backfill plan
  • Runbooks: deploy/rollback, replay, DLQ handling, on-call workflow
  • Security: SAST/DAST/SCA clean; secrets in KMS; PII masking; least-privilege
  • Docs: setup, versioning policy, change log, support SLAs

Outcomes

  • ≥99.5% successful sync on sample data
  • Webhook + retry/idempotency logic battle-tested
  • Dual-run reconciliation with <0.5% variance
  • Alerting, runbooks, and versioned docs

Selected work

How we approach it

Strangler Fig Pattern

When:
Legacy modernization with gradual migration
Tradeoffs:
Lower risk, longer timeline, dual-run complexity
Best for:
ERP migrations, mission-critical systems

Event-Driven Integration

When:
Real-time sync requirements
Tradeoffs:
Scalable, resilient, requires message broker infrastructure
Best for:
E-commerce, IoT, high-volume transactions

API Gateway + BFF

When:
Multiple consumers (mobile, web, partners)
Tradeoffs:
Centralized control, potential bottleneck
Best for:
Multi-channel applications, API economy

Where teams use it

Manufacturing

ERP ↔ MES ↔ QMS Integration

Real-time production data sync with <500ms latency. 99.7% sync success across 800K+ records. Zero production impact during cutover.

Retail & E-Commerce

E-commerce ↔ ERP ↔ WMS ↔ Payment Integration

Order-to-cash flow integrity with <1 second latency. Inventory variance <0.1%. Handles Black Friday 10x load.

Government & Public Sector

CAD/RMS ↔ Records Management ↔ GIS Integration

CJIS-compliant criminal justice data integration. 100% audit trail coverage. Zero data loss during cutover.

Energy & Utilities

SCADA ↔ GIS ↔ Asset Management Integration

Real-time asset status sync. GIS layer reconciliation <0.5% variance. Outage event propagation <2 minutes.

What we need from you

  • Source/target contracts (OpenAPI/GraphQL/EDIFACT/X12/FHIR/NIEM/etc.)
  • Test credentials + sandbox tenants; sample datasets; data ownership
  • Error/timeout/rate-limit policy; throughput targets; idempotency rules
  • Mapping specs; transformation rules; PII handling
  • Environments, CI/CD, and observability access

Proof points

  • Sync success rate dashboard (≥99.5%)
  • Dual-run reconciliation report
  • Contract test suite and fixtures
  • Runbook and alerting config

Built for procurement

  • All data classified per your schema (PII, PHI, CUI, public)
  • Encryption in transit (TLS 1.3) and at rest (AES-256)
  • Audit logging for every API call and data access event
  • Open standards preferred (REST/JSON, OpenAPI) over proprietary formats
  • Source code and IP ownership transferred under work-for-hire agreement
  • HIPAA BAA, PCI-DSS, SOC 2 Type II, CJIS compliance available
  • Fixed-price engagement with milestone-based payments (30/40/30)
  • SLA: 99.9% uptime, <1 hour P1 response, 30 days post-production support

Compatibility

Protocols

  • REST/GraphQL/gRPC
  • SOAP
  • SFTP/S3
  • Kafka/Kinesis/PubSub
  • Webhooks

Message brokers

  • Kafka
  • RabbitMQ
  • AWS SQS/SNS
  • Azure Service Bus
  • Google Pub/Sub

Formats

  • JSON/Avro/Protobuf/NDJSON/CSV
  • EDI X12 (270/271/276/277/835/837)
  • HL7/FHIR

Systems

  • SAP/SuccessFactors
  • Oracle
  • Workday
  • Salesforce
  • ServiceNow
  • Dynamics
  • Netsuite
  • Okta/Azure AD (SCIM/OIDC/SAML)
  • Snowflake/BigQuery/Redshift
  • ArcGIS/Feature Services
  • S3/GCS/Azure Blob
  • Triton/MLflow
  • VMS/WMS/TMS/EAM/CMMS

Frequently asked questions

API-to-API integrations between SaaS platforms, database synchronization across systems, legacy system connectors using custom middleware, event-driven integrations via webhooks and message queues, and file-based integrations for systems that only support batch exports. We connect anything that has an interface, documented or not.
We build custom middleware that translates between modern API protocols and whatever the legacy system supports: database direct connections, file drops, screen scraping for systems with only a UI, or custom socket protocols. The middleware presents a clean API to your modern systems while handling the legacy complexity behind the scenes.
Every integration we build includes monitoring, alerting, and retry logic. Failed messages go to a dead letter queue with full context for debugging. The system alerts your team within minutes of a failure, not when a user reports missing data. We also build circuit breakers that prevent cascade failures across connected systems.
A standard integration runs 3 to 6 weeks, depending on how many protocols are involved and how responsive the vendor systems are. Multi-system integrations with complex data transformations land at the upper end of that range, and legacy connectors with custom middleware can add time depending on the legacy interface.

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