Order data split across two systems
A sales tool and a fulfilment system hold overlapping order records that drift apart. An integration layer defines one source of truth per field, synchronises changes both ways and reports mismatches daily.
IT engineering company
Software and infrastructure that hold up under real operating conditions.
BRIDGE & BARK LIMITED designs, builds and maintains custom software, web platforms, cloud environments and integrations. We work on systems that people rely on daily, where correctness, uptime and maintainability matter more than novelty.
- Focus
- Custom systems
- Model
- Iterative delivery
- Contact
- tylerjackson198713@gmail.com
Who we are
An engineering company, not a reseller.
BRIDGE & BARK LIMITED is an IT company focused on building and operating software. Our work starts with the process a system is meant to support — the records it holds, the people who use it, the other systems it must talk to — and ends with something running in production that can be changed safely later.
We do not sell licences or resell platforms. Every engagement is delivery work: writing code, shaping data, configuring infrastructure and documenting decisions so that the result remains understandable to the people who inherit it.
That bias shows up in how we scope projects. We prefer a narrow first release that genuinely works to a broad specification that has never met real data, and we would rather remove a feature than ship one nobody can support.
Core capabilities
Four areas of work that most engagements draw on.
Projects rarely fit neatly into one category. These are the disciplines we combine, in whatever proportion a given system requires.
01
Application engineering
Back-end services, data models and interfaces built for a defined business process rather than a generic template. We favour boring, well-understood technology over novelty.
02
Data and integration
Schema design, migrations, message flows and API contracts that keep records consistent when several systems hold parts of the same truth.
03
Infrastructure and delivery
Reproducible environments, automated deployments and monitoring, so releases are routine events rather than scheduled risks.
04
Operational continuity
Documentation, runbooks and maintenance work that keep a system supportable after the initial delivery phase ends.
Custom software development
Built around your process, not around a product's assumptions.
Off-the-shelf tools cover common processes well. The trouble starts where an organisation does something specific — an unusual approval chain, a pricing rule, a regulated record, a piece of equipment that speaks its own protocol. That is where custom development pays for itself.
Typical deliverables
A domain model and database schema, application services with tests, an administrative interface, deployment configuration, and written notes on the decisions that shaped the design.
How we keep it small
We identify the smallest slice that produces real value end to end, put it in front of users, and expand from there using what we learn rather than what we assumed at the start.
Web platforms and digital products
Portals, dashboards and customer-facing platforms.
Most business software now reaches its users through a browser. We build web applications that load quickly, render meaningfully on the server, and stay usable on a laptop, a tablet and a phone.
Customer and partner portals
Authenticated areas where external users check status, submit information and retrieve documents without emailing your team.
Internal dashboards
Operational views that pull from several sources and present the few numbers a team actually acts on, with the raw records one step away.
Public product surfaces
Marketing and documentation sites with server-rendered content, semantic markup, sensible metadata and predictable URLs.
Accessibility and responsiveness
Keyboard-operable interfaces, meaningful headings, sufficient contrast and layouts that reflow instead of overflowing.
Cloud and infrastructure
Environments that can be rebuilt from a repository.
An environment nobody can reproduce is a liability. We describe infrastructure as code, automate the path from commit to production, and make the running system observable enough to diagnose without guesswork.
Environment design
Network layout, isolation between stages, secret handling and least-privilege access defined explicitly rather than accumulated by hand.
Delivery pipelines
Build, test and deploy stages that run the same way for everyone, with the ability to roll back a release quickly.
Observability
Structured logs, metrics and alerts chosen around user-visible symptoms, not around whatever the platform emits by default.
Cost and capacity
Right-sizing, scheduled scaling and removal of idle resources, reviewed against real usage rather than launch-day estimates.
Backups and recovery
Backup schedules paired with tested restores, plus a written statement of what recovery actually looks like in practice.
Migrations
Moving workloads between hosts or providers in stages, with a rehearsed cutover and a defined way back.
Integration and automation
Removing the manual step between two systems.
Integration
Most organisations run more systems than they intended to. Integration work makes those systems agree: a defined contract for each exchange, idempotent operations, retries with backoff, dead-letter handling for messages that cannot be processed, and reconciliation so discrepancies surface early instead of at audit time.
Automation
Automation begins by writing down what a person currently does, including the exceptions they handle silently. We then automate the predictable path, route the genuine exceptions to a human with enough context to decide, and record every action so the process can be explained afterwards.
What this typically replaces
Spreadsheets emailed between departments, overnight copy-paste routines, exports re-keyed into a second system, and status questions answered by asking a colleague rather than checking a record.
Engineering quality and security
Practices we apply, stated plainly.
These are working practices rather than certifications or guarantees. Their purpose is to reduce the number of surprises a system produces once it is live.
Code review
Changes are reviewed before they merge, with attention to readability and failure modes as much as correctness.
Automated testing
Unit tests around business rules, integration tests around boundaries, and checks that run on every change.
Input validation
Data validated at the edge and again at the domain boundary, with parameterised queries and encoded output.
Access control
Authorisation enforced server-side per request, least-privilege service accounts, and credentials kept out of source control.
Dependency hygiene
Pinned versions, regular upgrades, and prompt attention to advisories affecting libraries in use.
Data protection
Encryption in transit, encryption at rest where the platform supports it, and collection limited to what a feature needs.
Traceability
Meaningful commit history, migration files, and change logs that let anyone reconstruct why a system behaves as it does.
Incident practice
Alerts tied to user impact, a written timeline after a significant incident, and follow-up work tracked like any other task.
Delivery process
From first conversation to ongoing support.
The sequence below describes a typical engagement. Steps overlap in practice, and short projects compress several of them.
- 01
Discovery
We map the process, the systems already involved, the data that exists and the constraints that are not negotiable. The output is a shared written understanding, not a sales document.
- 02
Scoping and estimation
Work is broken into pieces small enough to reason about. Each piece gets an estimate with its uncertainty stated, and we agree what the first release must contain.
- 03
Architecture and design
Data model, service boundaries, integration contracts and hosting approach are decided and written down, along with the alternatives considered.
- 04
Iterative build
Development proceeds in short cycles. Every cycle ends with something deployed to a shared environment that you can open and use.
- 05
Verification
Automated tests run continuously; we also walk through the real scenarios with the people who will use the system, using realistic data.
- 06
Release
Deployment is automated and rehearsed. Where a migration is involved, we plan the cutover, the checks that follow and the route back.
- 07
Support and evolution
After launch we monitor, fix, upgrade dependencies and implement changes as the process itself changes. Documentation is updated alongside the code.
Illustrative scenarios
Examples of the problems this work addresses.
The scenarios below are illustrative examples written to show the kind of problem we take on. They are not descriptions of completed client projects and do not refer to any specific organisation.
A spreadsheet doing a database's job
A shared spreadsheet has grown into a critical register with conflicting copies. It is replaced by a small web application with validation, a change history and role-based access, importing the existing rows.
Manual document generation
Contracts are assembled by hand from templates. A generation service composes documents from stored data, applies approval rules and files the result, leaving an audit trail per document.
Deployments that require a specialist
Releases depend on one person following an undocumented sequence. The steps become a pipeline: automated build, tests, staged deploy, health checks and a one-command rollback.
An ageing application nobody wants to touch
A production system has no tests and an unclear structure. Characterisation tests capture current behaviour first, then modules are refactored and upgraded incrementally without a rewrite.
Reporting that arrives too late
Figures are compiled monthly from exports. A reporting pipeline consolidates the sources on a schedule and serves a dashboard that reflects yesterday's data every morning.
Working principles
How we collaborate.
Good software is mostly a communication problem. These are the habits that keep an engagement honest.
- Write things down
- Decisions, trade-offs and open questions live in a shared written record, so nothing important depends on someone remembering a call.
- Show working software early
- Progress is demonstrated in a running environment. Slide decks are not evidence that something works.
- Say when an estimate is uncertain
- Uncertainty is stated as a range with its causes named, and revised in the open when we learn more.
- Prefer reversible decisions
- Where a choice can be deferred cheaply, we defer it; where it cannot, we make it explicitly and document why.
- Leave the system supportable
- Another team should be able to take over. That means readable code, current documentation and no undisclosed dependencies on us.
- Respect existing constraints
- Legacy systems, budgets and regulatory requirements are inputs to the design rather than obstacles to argue with.
Questions
Frequently asked questions.
- What size of engagement do you take on?
- Anything from a focused piece of integration work to a multi-month platform build. Scope matters more than size: we need a defined problem, an accessible domain expert and a decision-maker who can approve trade-offs.
- Do you work with existing systems or only new builds?
- Both. A large share of practical IT work involves systems that already exist and cannot be switched off. We are comfortable reading unfamiliar code, mapping current behaviour and improving it incrementally.
- Which technologies do you use?
- Mainstream, well-supported stacks: typed application languages, relational databases, containerised services and managed cloud platforms. Technology choices follow the requirements, existing environment and the skills of the team who will operate the result.
- How is progress shared during a project?
- Through working software in a shared environment, a visible backlog and a short written summary at the end of each iteration covering what changed, what is next and what is blocked.
- Who owns the code and infrastructure?
- The client. Source code lives in the client's repository where possible, infrastructure is defined as code, and credentials are held in the client's own accounts.
- How can we start a conversation?
- By email at tylerjackson198713@gmail.com. A short description of the problem, the systems involved and the outcome you need is enough to begin.
Enquiries: tylerjackson198713@gmail.com · bridgeandbark.com