Timeouts and Retries
With backoff, so a slow external system does not take yours down with it.
API Integration Services
API Integration Services Designed Around What Happens When It Fails
Connecting to an API takes an afternoon. Making that connection reliable takes considerably longer, because the other system will be slow, will rate-limit you, will return data its documentation never mentioned, and will occasionally be down. API integration services are mostly the work of handling all of that without losing anything.
We Design for the Bad Day
Integrations built only for the happy path fail silently, which is the worst way to fail.
Rate Limits Respected
Established from documentation and testing rather than from being blocked in production.
Failures Visible
An integration that stops working should raise an alarm, not go quiet.
Reconciliation
A way to detect and repair divergence, because eventually the two sides disagree.
Data Validated
External data is checked, because APIs return things their documentation does not describe.
Integration, Explained
What Actually Goes Wrong?
Four failure modes account for most integration incidents.
Discuss Your Integration →- 1
The Other System Is Slow
Without a timeout, your request waits and your users wait with it.
- 2
Rate Limiting
Working fine at low volume and blocked at higher volume, usually at the worst moment.
- 3
Unexpected Data
Nulls, missing fields and formats the documentation did not mention.
- 4
Silent Failure
The integration stops and nobody notices until data is discovered missing.
What an Integration Engagement Covers
Design, build, and the operational parts that keep it working.
For CRM connections specifically, see CRM integration.
How We Build Integrations
Test the real API early with real data. Documentation describes intentions.
Test the API
Against real data and real limits, before committing to a plan.
Choose the Pattern
Real-time, queued or batch, matched to the freshness requirement.
Build With Failures
Timeouts, retries and validation from the start, not added later.
Instrument
Monitoring and alerting so failures surface immediately.
Verify Over Time
Reconciliation confirming the two sides still agree.
Reliability
Why Silent Failure Is the Worst Outcome
A loud failure gets fixed the same day. A quiet one is discovered in an audit.
How do integrations fail quietly?
An error is caught and logged, the process continues, and nothing alerts anyone. The system appears to work. Orders stop syncing, contacts stop being created, and the discrepancy surfaces weeks later when someone reconciles manually.
The cause is usually well-intentioned: catching errors so a failure does not crash the application. Catching without alerting turns a visible problem into an invisible one.
Anything caught should be recorded somewhere a human sees, with a threshold that raises an alert when failures exceed the normal rate.
When should an integration be asynchronous?
Whenever a user is waiting. If saving a form triggers a call to an external system, the user's experience now depends on that system's response time and availability.
The better pattern is to accept the action, queue the external call, and process it in the background with retries. The user gets an immediate response, and a temporary outage delays a sync rather than breaking a form.
The exception is where the external result is required to complete the action — a payment authorisation, for instance. Then it must be synchronous, and the timeout and failure message matter a great deal.
Questions,answered.
API integration services connect your systems to external ones — covering the connection, data mapping, error handling, monitoring and reconciliation that keep the integration reliable over time.
It depends far more on the other system than on ours. A well-documented modern API is quick; a legacy system with inconsistent data and undocumented behaviour takes considerably longer, which is why we test it before estimating.
A well-built integration queues the work and retries rather than failing the user's action. Anything the user waits on needs a timeout and a clear message. Both are design decisions made before the build.
Only where freshness genuinely requires it. Real-time integration couples your availability to theirs. Queued processing is usually more reliable and the delay is rarely noticed.
Through monitoring and alerting on failure rates, plus periodic reconciliation comparing both sides. Without those, an integration can stop and nothing indicates it until someone checks manually.
Still deciding if api integration services is right for you?
Talk to UsThe Try-Catch That Hid the Problem
Wrapping an external call in error handling is correct. A failing API should not take down the application, and any code review would flag it if it could.
What frequently gets added is the catch without anywhere for the error to go. It is logged to a file nobody reads, or swallowed entirely so the process can continue, and the system reports itself healthy while silently doing nothing.
Weeks later someone notices records stopped appearing on a particular date. The fix takes an hour; the missing weeks do not come back.
Free Integration Review
Talk Through What Needs to Connect
Tell us which systems need to talk to each other. We will assess what their APIs actually support and where the reliability risk sits.
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