APIs, event streams, and data pipelines — the connective tissue of enterprise IT. From ServiceNow ↔ Service Manager migrations to mainframe ↔ cloud data flows.
Modern IT is a mesh of systems that need to share data — cleanly, reliably, in real time or batch. Getting that plumbing right is what separates high-performing IT organizations from perpetually-firefighting ones.
VanPaulTek designs and delivers integrations across the boundaries most other teams find hardest: ServiceNow ↔ Service Manager, mainframe ↔ cloud, monolithic legacy apps ↔ modern microservices.
Every integration we deliver ships with contracts, tests, monitoring, and documentation. It's boring, and that's the point.
The right pattern for your data-sharing shape.
HTTP-based APIs with OpenAPI contracts, versioning, rate limits, and auth.
Flexible client-driven APIs with schema-first design.
Kafka, Kinesis, SNS/SQS — decoupled, scalable, event-driven.
Reliable data pipelines: extract, transform, load — Airflow, dbt, Snowflake.
MuleSoft, Boomi, Workato — prebuilt integration platforms.
SAML, OIDC, SCIM — enterprise auth done right.
APIs over mainframe transactions, VSAM data, SOAP → REST.
Reliable webhook delivery with retries, dead-letter, and observability.
OpenAPI schemas up front. Consumers can build in parallel with providers.
IntegrationHub spokes, custom REST, ServiceNow ↔ Service Manager sync.
Kafka, Kinesis, and pub/sub for real-time decoupled systems.
ETL/ELT with Airflow, dbt, Fivetran, custom pipelines when needed.
SSO, MFA, SCIM provisioning across enterprise identity.
API layers over mainframe, iSeries, legacy databases.
MuleSoft, Boomi, Workato — when a platform makes sense.
Every integration monitored: latency, error rate, data quality, freshness.
24×7 on-call for critical integration pipelines.
Data model on both sides, volumes, latency requirements, failure modes.
API schema or event contract, agreed with consumers up front.
Implementation with tests, contract validation, error handling.
Staged rollout with monitoring and rollback.
Latency, error, data quality, and freshness dashboards.
Versioning strategy, deprecation, ongoing improvement.
Critical integrations need real ops.
Bi-directional sync during a phased migration between platforms.
APIs over CICS/DB2 so modern apps can use the system of record.
ELT into Snowflake/BigQuery from every operational system.
SAML/OIDC across the app portfolio with SCIM provisioning.
Kafka event streams for decoupled cross-system flow.
REST facade over SOAP or proprietary legacy APIs.
It depends on your existing landscape, team skills, and volumes. We're not resellers — happy to recommend against a platform when it doesn't fit.
Both. Platforms accelerate common patterns; custom code makes sense when the pattern is unique or performance-critical.
Yes. Multi-hundred-thousand-events-per-second stacks are in our experience.
Semantic versioning, deprecation windows, and consumer migration support built into every API.
Yes — observability is part of every delivery. Optional 24×7 managed ops for critical pipelines.
Yes. We do it regularly — via CICS Transaction Gateway, MQ, DB2 replication, and API middleware.
Reach out — we get back within 1 business day.
