The thinking behind the system.

I connect products, data and services into systems that people can understand, operate and build on.

From a public website to the services behind it, my work is about deciding where responsibilities belong, how information moves, and what happens when something goes wrong.

Follow the connections.

Choose a system to trace its flow. Each view explains an architectural pattern from my own work, with the detail simplified for this showcase.

Product platform

Many experiences. Clear ownership.

  1. ExperienceWebsites & apps

    Present the journey and collect the user's intent.

  2. Service boundaryShared backend API

    Own business rules, protected actions and integrations.

  3. PersistenceOwned database

    Keep data changes behind one migration owner.

Why this boundary matters

A website can evolve without taking responsibility for database migrations or exposing an integration credential in the browser.

Shared intelligence

Shared knowledge needs a source.

  1. EvidencePrepare a candidate

    Attach the source, business ownership and observation time.

  2. Human controlConfirm the change

    Approve the exact candidate before it becomes a fact.

  3. Scoped retrievalVersioned knowledge

    Retrieve authorised records while preserving their history.

The architectural choice

A permissioned ledger in the existing API and database gives connected applications consistent business context without introducing a separate knowledge service.

Release & recovery

Design the way back, too.

  1. PrepareProtect the baseline

    Create a database backup and retain the previous application image.

  2. VerifyCheck the candidate

    Apply migrations explicitly, then check container and public health.

  3. DecideAccept or recover

    Accept a healthy release; restore the previous image if checks fail.

An intentional limit

Application rollback and database restore are separate decisions. Automatically reversing a database could erase valid writes made after a release.

Architecture illustrations, not live monitoring. These diagrams describe selected design patterns; they do not report current service health.

Behind the design decisions.

Three examples of turning a connected product estate into something easier to reason about, change and support.

A shared foundation.
Independent experiences.

Public websites and product interfaces connected to a backend that owns protected business operations.

API boundariesData ownershipIntegration design

The design problem

When several interfaces use the same services, database access, credentials and business rules need an explicit home. Otherwise every interface can become another place to maintain the same logic.

My architectural approach

Separate the customer website from the backend. Keep checkout, webhooks, uploads and admin operations in the service layer. Give database migrations one owner, and let other applications use the API.

The trade-off

A shared service reduces duplication but becomes an important dependency. Its contracts, health checks and release process need the same care as the product screens.

Explore the product platform

Shared context.
Accountable changes.

A source-grounded knowledge layer for business facts, decisions, tasks and outcomes.

Scoped accessVersion historyHuman confirmation

The design problem

Connected products need consistent business knowledge. Every recorded fact needs its source, business context and history so that decisions can be traced and reviewed.

My architectural approach

Use a permissioned ledger within the existing API and database. Preserve the originating business on every record. Prepare changes for exact human confirmation, keep immutable fact versions, and reject updates based on an outdated version.

The trade-off

Confirmation adds a deliberate step to ingestion. In return, there is a reviewable boundary between a proposed statement and a recorded fact. Shared context still needs refreshing when business conditions change.

Design emphasis: provenance, least privilege and meaningful human control.

Change with
a recovery path.

A release process that treats verification and recovery as part of the architecture.

Health gatesExplicit migrationsRecovery design

The design problem

A new version can start successfully and still fail at the public boundary. Application code and database state also have different recovery requirements.

My architectural approach

Retain the previous application image, back up before migrations and apply schema changes as an explicit deployment step. Accept the candidate only after container and public health checks pass. Keep database restoration a separate, manual decision.

The trade-off

More preparation makes release work deliberate. Health checks establish a baseline; they do not replace testing the actual product journey.

Design emphasis: a recoverable application release without an automatic destructive database reversal.

Start with people.
Make the boundaries explicit.

My psychology background shapes how I approach technical work: what does someone need to understand, decide and recover from?

Purpose

Map the real journey.

Begin with the task, the people doing it and the information they need to move forward.

Responsibility

Name the owner.

Make it clear which component owns a rule, a record, a permission or a change.

Control

Make decisions visible.

Put review and confirmation where a person can meaningfully understand the effect.

Change

Plan for what follows.

Consider how the system will be checked, maintained and recovered after the first release.

More about my background

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