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SUPPORT SYSTEM
API & Systems Integration

Systems that stop disagreeing with each other

Most operational pain is two systems holding different versions of the same fact. We design and build the APIs, webhooks and synchronisation that make one of them the answer — and make the disagreement visible when it happens.

Integration is a data problem, not a plumbing problem

Connecting two systems is easy for a week. What is hard is what happens on day forty: the record that exists on one side and not the other, the update that arrived twice, the field one system truncates, the outage that silently dropped an hour of events. So we design for the failure cases first. Which system owns each fact. What happens when a call times out. How a duplicate is recognised. Where a failed message goes and who finds out. What a reconciliation report looks like, and how often somebody actually reads it. The same discipline applies to APIs we build for you to expose: versioned, documented, authenticated, rate limited, and designed so that a partner integrating against it does not need to ask you a question that the documentation should have answered.

Key benefits

What this changes for your business.

One version of the truth

Ownership of each fact is decided explicitly, so two systems can no longer both be right and disagree.

Failures that are visible

Retries, dead-letter queues and an alert when a message cannot be delivered — instead of an hour of data quietly missing.

Manual re-keying removed

The half hour a day somebody spends copying between two systems is the return on this work.

Reconciliation you can read

A scheduled report showing what matched and what did not, so a drift is caught in days rather than at year end.

What we deliver

The things you actually receive.

  • REST API design and build

    Versioned, documented and consistent, with an OpenAPI specification a partner can generate a client from.

  • Webhooks and event delivery

    Signed payloads, idempotency keys, retry policy and a delivery log the consumer can inspect.

  • Third-party integrations

    Payment providers, shipping carriers, accounting, e-invoicing, CRM, e-signature and messaging.

  • ERP and CRM connectors

    Two-way synchronisation with conflict rules that were decided rather than discovered.

  • Authentication for APIs

    OAuth 2, API keys or signed requests, with scopes so a partner gets exactly what they need.

  • Data migration and one-off syncs

    Mapping, cleaning and a dry run you can inspect before anything is written.

Core capabilities

The engineering disciplines this service draws on.

REST & JSON:API design
Webhooks & event streams
OAuth 2 & API keys
Rate limiting & quotas
Retries & idempotency
Data mapping & migration
Reconciliation reporting
OpenAPI documentation
Integration monitoring
Payment gateway integration

Technologies we use

The stack we would reach for, and what each part is for.

Laravel

A mature PHP framework for secure, maintainable server-rendered applications and APIs, with authentication, queues and testing built in.

PHP

The language behind a large share of the web, and a fast, strictly typed one since PHP 8.

Node.js

A JavaScript runtime suited to real-time features and API gateways, where many connections spend most of their time waiting.

TypeScript

Static types over JavaScript. On a codebase several people maintain, it turns a class of runtime bugs into compile-time ones.

PostgreSQL

A relational database with strong support for JSON, full-text search and geospatial data, for models that outgrow plain tables.

Redis

An in-memory store used for caching, queues and rate limiting — the difference between a page that waits on the database and one that does not.

Docker

Containers, so the application a developer runs locally and the one running in production are the same artefact.

AWS

Cloud infrastructure with managed databases, storage and networking, so capacity follows demand instead of a purchase order.

Technology adoption

Technologies in this stack are publicly documented as being used by organisations including those below.

Netflix

Node.js

Source

Slack

TypeScript

Source

These organisations are named as documented users of the technologies listed. They are not clients of Vertex Arc, and their inclusion does not imply any relationship with or endorsement of Vertex Arc.

Industries we serve

Sectors where this service tends to fit well.

  • FinTech
  • Logistics
  • E-Commerce
  • Healthcare
  • SaaS
  • Manufacturing

Our delivery process

How an engagement runs, from first conversation to ongoing support.

  1. Discovery

    We work out what the software has to do, who uses it, and which constraints are real. The output is a written scope, not a proposal.

  2. Architecture

    Data model, boundaries, integrations and infrastructure decided and agreed before anybody writes application code.

  3. Design

    Flows and interface, including the empty, error and permission states that decide how the product actually feels.

  4. Development

    Built in reviewable increments against a conventional structure, with tests around the parts that would be expensive to break.

  5. QA & security

    Functional testing, performance checks, and a review of authentication, authorisation and dependency risk before launch.

  6. Launch

    Deployment, monitoring, and a period of close attention while real traffic finds what staging did not.

  7. Continuous improvement

    Patches, upgrades and new work through the support system, so the product keeps being maintained rather than quietly ageing.

Use cases

What this looks like as a finished product.

Shop to ERP synchronisation

Orders, stock and prices moving between the storefront and the back office without anybody exporting a CSV.

A partner API

Exposing part of your platform to customers or resellers, with keys, scopes, quotas and documentation.

Consolidating after an acquisition

Two companies, two CRMs, one customer list — mapped, deduplicated and kept in sync during the transition.

Why Vertex Arc

We design for the failure case

Timeouts, duplicates and partial writes are decided up front, because that is where integrations actually go wrong.

Documented for whoever comes next

An OpenAPI spec and a written data-ownership map, so the integration is not knowledge held by one person.

Monitored, not assumed

Every integration ships with health checks and alerting. Silence is not evidence that it is working.

We say when an integration is fragile

Some vendor APIs are undocumented, rate limited or unstable. You hear that before the work starts, not after.

Frequently asked questions

The system we need to connect to has no API. Now what?
There are usually options: a scheduled file export, a database replica, or a supported import format. We will tell you which of them is safe and which is a maintenance liability, and price both honestly.
How do you handle a vendor that changes their API?
Version pinning, contract tests that run in CI, and a monitored integration so a breaking change surfaces as an alert rather than as a customer complaint.
Can you take over an integration somebody else built?
Yes. We start with a read-only review: what it does, where it fails, what is undocumented. You get that as a written assessment before deciding whether to repair or replace.