Integrations & APIs
Stripe, Salesforce, HubSpot — wired with retries, idempotency, observability.
Integrations & APIs is stripe, salesforce, hubspot — wired with retries, idempotency, observability.
Why this work matters
Integrations are where reliability disasters happen quietly. A webhook drops; a row is missed; six weeks later the CFO's reports are off and nobody knows why. We build for the storm, not the demo.
The work, in detail.
- Stripe + billing complexity (subs, usage, dunning)
- CRM + GTM stack (Salesforce, HubSpot, Segment)
- ETL & data pipelines (Fivetran, dbt, Airbyte)
- Webhook reliability + replay
- API versioning + deprecation
- Internal API platforms
- →Hardened integration with retries + DLQ
- →Per-integration observability dashboard
- →Replay tooling for ops
- →Runbook + on-call procedure
Integrations look easy until your first webhook storm. We build them right the first time: typed contracts, idempotency keys, dead-letter queues, and dashboards.
The approach.
Typed contracts
Every integration has a typed schema and a runtime validator. Drift between systems gets caught at the boundary, not in production.
Idempotency by default
Every webhook handler is idempotent on a key the upstream system controls. Replays are safe, retries are safe, dead-letter queues are wired.
Observability per integration
Per-integration dashboards: success rate, latency, retry count, lag. You see degradation before your customer support team does.
Integrations & APIs — common questions
Which systems do you integrate with?
Stripe and complex billing (subscriptions, usage, dunning), CRM and GTM stacks like Salesforce, HubSpot, and Segment, and ETL or data pipelines using Fivetran, dbt, and Airbyte. We also build internal API platforms and handle API versioning and deprecation.
How do you keep integrations from silently failing?
Reliability disasters happen quietly — a webhook drops, a row is missed, and weeks later the reports are off with no obvious cause. We make every webhook handler idempotent on a key the upstream system controls, wire retries and dead-letter queues, and build for replays and retries to be safe.
What is a typed contract and why does it matter?
Every integration has a typed schema and a runtime validator, so drift between systems gets caught at the boundary instead of in production. It is the difference between a clean error at the edge and a corrupted downstream report.
How will I know an integration is healthy?
We deliver per-integration observability dashboards showing success rate, latency, retry count, and lag, so you see degradation before your support team does. You also get replay tooling for ops and a runbook with an on-call procedure.
What do you hand over at the end?
A hardened integration with retries and a dead-letter queue, a per-integration observability dashboard, replay tooling for your ops team, and a runbook plus on-call procedure so the system is operable without us.
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