Case study
Automated Middleware Integration
Two systems. One reliable source of truth.
PHP 8 OAuth 2.0 Five-minute sync Structured audit logging
Authoritative data
Third-party source system
New and changed records originate here.
Local synced copy
Client-facing platform
Fast, current records for end users.
Connect / Validate / Synchronise
Authenticate
Secure server-side connection using OAuth 2.0.
Request changes
Pull only records changed since the last run.
Match by ID
Find the correct local record using its unique reference.
Update safely
Create, update or flag without duplicating data.
Log the run
Record the outcome and any recoverable errors.
One secure bridge. No manual re-entry.
The challenge
Critical records were trapped in the wrong system.
The client-facing platform and the third-party system holding the authoritative records had no native way to exchange data.
Without a secure bridge, staff would have needed to monitor the source system and copy information manually. That meant slow updates, avoidable errors and data that could become outdated almost immediately.
Disconnected systems
One platform had no visibility into records that were created or changed in the other.
Manual cross-checking
Keeping both sides current would have depended on repeated checking and retyping by staff.
No reliable match
Without a shared reference, duplicate or conflicting records were a genuine operational risk.
Sync overview
Scheduled
Source authentication
Server-side OAuth 2.0 client credentials
Change detection
New and updated records since the previous run
Record matching
Unique source reference mapped to local data
Error recovery
Failures logged and retried on the next cycle
Administrator controls
Visible status, rolling log and Sync Now override
What we built
A secure integration that keeps itself up to date.
Server-side integration layer
Credentials and access tokens remain on the server and are never exposed to end users.
Scheduled sync engine
A background job runs every five minutes and requests only records that are new or changed.
Reference-ID upsert logic
Existing records are updated, new records are created and closed records are flagged without duplication.
Audit and fail-safe handling
Each run records what changed. Timeouts, rate limits and outages are logged without corrupting existing data.
Admin visibility and control
Administrators can view sync status and logs or trigger an immediate update using Sync Now.
The result
Manual cross-checking replaced by an automated five-minute cycle.
The completed integration handles authentication, change detection, record matching and error recovery against the live third-party API.
The client-facing platform reads from its own fast, synchronised copy, while every run remains visible and auditable. Final field verification and client sign-off are the remaining steps before go-live.
Its modular, hook-based architecture also supports a phased rollout and future changes to the schedule, sync logic or destination fields without rebuilding the integration.
Minute sync cycle
Near-real-time updates without anyone having to start a batch.
Reliable matching
Every incoming record is checked against its unique source reference.
Full audit trail
Added, updated and closed records are recorded for every run.
Automatic recovery
Temporary failures are logged and safely retried on the next cycle.
Technology used
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