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API Integration Starter · 3-week starter

Two systems that finally agree.

Pick two systems that should be in sync but aren't. In three weeks we build the integration — with retries, idempotency, replay, and monitoring — so the data stays right on its own, and you stop reconciling it by hand.

retries + backoff/idempotency/replay window/monitoring dashboard
An integration built to survive the unhappy path — not just the demo.
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01The idea

The demo always works. The Tuesday afternoon is the test.

Any two systems can be wired together in an afternoon — until the other end times out, rate-limits you, or sends the same event twice, and the data quietly drifts out of sync. The hard part of an integration isn't the connection; it's everything that happens when the connection misbehaves. The API Integration Starter is a focused, three-week engagement that builds one real integration the right way: retries with backoff for transient failures, idempotency so nothing gets double-created, a replay tool for when you need to backfill a gap, and monitoring so you see problems before your customers do.

02Right when

Two systems that should agree — and don't.

A focused starter for the one connection your team keeps fixing by hand.

  • 01

    Your CRM data is always a little stale

    A live, monitored sync — the record updates in one system and shows up in the other.

  • 02

    Finance reconciles across systems by hand

    An idempotent integration that ties out automatically, with an audit trail to prove it.

  • 03

    You tried Zapier and quietly gave up

    A first-class integration in your own stack — real retries, real visibility, real ownership.

  • 04

    Someone copy-pastes between two tools

    That person's job becomes a pipeline that runs itself and tells you when it doesn't.

03What you get

Four things — all of them yours.

Everything ships into your stack and your repo, documented and handed over.

  • 01

    Production integration

    A live connection between your two systems, built with retries, backoff, and idempotency so it survives the failures real APIs throw at it.

  • 02

    Replay + audit tooling

    Re-send a specific window of events safely when something goes wrong, and an audit trail that shows exactly what crossed and when.

  • 03

    Monitoring dashboard

    Throughput, failures, and lag at a glance — wired to alert you the moment the integration needs attention.

  • 04

    Runbook

    Plain-language operating instructions: what each alert means, how to replay a gap, and how to extend the integration later.

04Anatomy of a reliable sync

How one record makes it across — every time.

  1. 1ReceiveWebhook or poll
  2. 2MapFields & shape
  3. 3DeliverWith retries
  4. 4VerifyIdempotency check
  5. 5ReplayBackfill any gap

Receive the change, map it to the other system's shape, deliver it with retries when the network hiccups, verify it didn't already land so nothing duplicates, and keep the ability to replay a window if a downstream outage left a gap. That's the difference between “it usually works” and an integration you can trust.

Built for the unhappy path, not just the demo.

Retries, idempotency, replay, and monitoring — so the data stays in sync on its own.

05The plan

Three weeks, start to in-sync.

Week 1

Analysis, auth & mapping

We read both systems' APIs, sort out authentication and rate limits, and map exactly what syncs to what. The decisions that make or break the integration happen here, in the open.

Week 2

Build with retries & idempotency

We build the integration itself — retries with backoff for transient failures, and idempotency so a replayed or duplicated message can never double-create a record.

Week 3

Monitoring, replay & runbook

We wire up the monitoring dashboard and alerts, build the replay tool for backfilling gaps, write the runbook, and hand everything over with a walkthrough.

06Why it holds

A trustworthy integration has four habits.

01

Idempotent

Processing the same message twice has the same effect as once — no duplicate invoices, contacts, or orders.

02

Retried

Transient failures back off and try again automatically, instead of silently dropping the record.

03

Observable

Throughput, failures, and lag are visible on a dashboard and alert you before customers notice.

04

Replayable

A specific window of events can be re-sent safely, so an outage becomes a backfill, not a manual rebuild.

07Best for

If two systems keep disagreeing, start here.

  • Sales ops blocked by stale CRM data

    When deals, contacts, or usage live in one system but the CRM lags behind, the team works off numbers that were true yesterday.

  • Finance reconciling across systems manually

    If month-end is a person matching rows between billing and the ledger, an idempotent, audited sync gives that time back.

  • Teams who've tried Zapier and given up

    When the data matters and the no-code flow keeps silently breaking, it's time for a real integration you can see inside.

08Questions

The things teams ask first.

Almost always because it was a happy-path script with no plan for the unhappy path. The other system has a slow afternoon, returns a 500, rate-limits you, or sends the same webhook twice — and a naive integration either loses the record or duplicates it. The Starter is built the opposite way: retries with backoff for transient failures, idempotency so a replayed message can't double-charge or double-create, and monitoring so you find out from a dashboard, not from an angry customer. We assume the connection will wobble, and make it survive the wobble.

Stop syncing it by hand.

Tell us the two systems that should be in sync but aren't. In three weeks we'll build the integration — retries, idempotency, replay, and monitoring — and hand it over so it keeps working without you.