Abstract navy mountain ridges rendered as fine data lines and topographic contours

Information technology & digital solutions

Engineering that holdsunder real load

MOON & MOUNTAIN LIMITED builds and maintains software, cloud environments and data systems for organisations that need technology to work quietly and predictably every day.

The company

moonpeakventures.com

A technology practice organised around delivery, not around presentation.

We work across the parts of a technology estate that tend to be treated separately: application code, the infrastructure it runs on, the data it produces and the controls that keep it safe. Treating them as one system is what keeps a change in one place from becoming an incident in another.

Engagements are scoped in plain language. What is being built, what is out of scope, how it will be tested, and what the client receives at the end are agreed before implementation starts, and revisited when circumstances change.

Core services

Detailed descriptions are on the services page.

01

Custom software development

Applications designed around a specific operational need, built to be readable, testable and maintainable long after the first release.

02

Cloud and infrastructure

Environments defined as code, sized to real workloads, with clear boundaries between build, deployment and runtime configuration.

03

Systems integration

Connecting applications, services and records so that data moves once, predictably, with contracts that are documented rather than assumed.

04

Data engineering

Pipelines, models and storage structures that make information usable for reporting, operations and downstream software.

05

Cybersecurity support

Reviewing access, dependencies, secrets handling and exposure, then closing gaps as part of ordinary engineering work.

06

Application maintenance

Ongoing correction, dependency upgrades and incremental improvement for software that is already carrying load.

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Digital transformation

Change delivered in stages that can be stopped, measured and continued.

Transformation work fails most often because it is attempted as one event. We prefer a sequence: understand what the current systems actually do, replace the parts that block progress, and keep the rest running while the replacement proves itself.

Each stage produces something usable. Nothing depends on a single future cut-over date, and priorities can be reordered as the business learns more.

Software development

Code written to be read again

Most of a system's cost arrives after launch, in the changes nobody planned. We write for that period: clear module boundaries, meaningful tests, dependencies chosen with their maintenance in mind, and version control history that explains itself.

Web applications
Server-rendered and interactive interfaces built on established frameworks.
Backend services
APIs and background processing with explicit contracts and error handling.
Automated testing
Unit, integration and regression checks running on every change.
Delivery pipelines
Repeatable builds and deployments rather than manual release steps.
Developer workstation showing source code on a monitor in a softly lit office
Corridor of server racks in a modern data centre lit in cool blue tones

Cloud & infrastructure

Environments that are described, not remembered

Infrastructure is defined in configuration that lives alongside the application, so an environment can be rebuilt from source rather than reconstructed from memory. Capacity is matched to observed usage, and cost is a design input rather than a monthly surprise.

Migration work is planned with rollback in mind, and monitoring is put in place before the traffic moves, not after.

Security approach

Security is a property of the build, not a stage at the end

Least privilege

Access is granted narrowly and reviewed when roles or systems change.

Secrets discipline

Credentials live in managed stores, never in source control or shared documents.

Dependency hygiene

Third-party packages are tracked, updated and removed when unused.

Traceability

Changes, deployments and administrative actions leave a record that can be inspected.

Minimal geometric shield outline drawn in thin lines on a deep navy field
Diagram of connected nodes and lines representing integrated data systems

Data & integration

One record, moving predictably between systems

Integration problems are usually definition problems. Before writing connectors we agree what an entity means in each system, which source is authoritative, and what should happen when the two disagree.

From there the technical work is ordinary: documented interfaces, validated payloads, idempotent processing, retry behaviour that does not duplicate records, and pipelines that fail loudly instead of silently dropping rows.

How the work runs

  1. Stage 01

    Understand

    We map the current situation: systems in use, data that matters, constraints, and the outcome the work is expected to produce.

  2. Stage 02

    Define

    Scope is written down as concrete deliverables, boundaries and acceptance criteria before implementation begins.

  3. Stage 03

    Build

    Work proceeds in reviewable increments, with automated checks and short feedback loops rather than a single large handover.

  4. Stage 04

    Operate

    Release, observation and correction. Documentation and access are handed over so the result can be run without us.

Situations this work suits

Software that has outgrown its design

A system that worked at a smaller scale and now needs restructuring rather than patching.

Manual processes between systems

Work that is currently carried by spreadsheets, exports and re-keying between tools.

Unclear infrastructure ownership

Environments assembled over time, where nobody can say what is running or why.

Reporting that cannot be trusted

Numbers that differ depending on which system produced them.

Deferred maintenance

Applications running on unsupported dependencies or platform versions.

Security uncertainty

No current view of access, exposure or third-party components in use.

Technology principles

Simplicity before cleverness

The straightforward solution is preferred unless a measured constraint requires something more elaborate.

Boring, proven technology

Tooling is selected for maturity, documentation and long-term support, not novelty.

Reversible decisions

Architecture is arranged so that individual choices can be replaced without rewriting the whole system.

Written over implied

Interfaces, environments and operational steps are documented as part of the deliverable.

Quality is what remains when the deadline is over: software that can be understood, operated and changed by people who were not in the room when it was written.

Quality

Review, automated testing and defined acceptance criteria on every deliverable.

Security

Access control, secrets management and dependency review as standing practice.

Reliability

Monitoring, documented recovery steps and rollback paths planned before release.

Capability highlights

Disciplines covered
Application development, infrastructure, data engineering, integration and security support.
Engagement shape
Defined project scope, staged modernisation, or ongoing maintenance of existing software.
Working languages
English.
Handover
Source code, environment definitions, documentation and access, transferred to the client.
Technology team reviewing work together around a table in a bright modern office
Minimal concrete and glass interior of a modern business environment

How we work with clients

Communication is written, direct and regular: what changed, what is next, what is blocked. Decisions with long-term consequences are recorded with their reasoning, so a future team can see why a system looks the way it does. Work is handed over completely — there is no dependency on us to keep it running.

Contact

Enquiries are handled by email

Company
MOON & MOUNTAIN LIMITED
Email
marybaker1979@gmail.com
Website
moonpeakventures.com

Further detail is available on the contacts page.