Work

Example architectures and solution scenarios

These pages describe how we approach recurring engineering problems: the constraints, the architecture, the implementation steps and the trade-offs. They are illustrative reference designs rather than named client case studies.

A note on evidence. We publish architectures and methods rather than client names, logos or performance claims we cannot substantiate here. If you would like references or a walk-through of comparable work under NDA, ask us during a consultation.

Example architectureSaaS

Multi-tenant SaaS platform moving off colocation

Onboarding peaks exceed available capacity, environments cannot be reproduced, and hardware refresh is approaching.

AWSTerraformEKSPostgreSQLArgoCDGrafana
Read the architecture
Reference implementationEnterprise IT

Standardising CI/CD across many product teams

Release behavior differs per team, security controls are applied unevenly, and pipeline maintenance duplicates effort everywhere.

Azure DevOpsGitHub ActionsDockerHelmTrivyCosign
Read the architecture
Example architectureCustomer operations

Grounded assistant over support knowledge

Answers are inconsistent, and a plain chatbot cannot be trusted because it cannot show where an answer came from.

Azure OpenAIpgvectorLangGraphFastAPILangfuse
Read the architecture
Reference implementationFinancial services

Multi-tenant Kubernetes platform for regulated workloads

Cluster count drives upgrade and security burden, while teams still need credible isolation and self-service.

KubernetesArgoCDHelmOPA GatekeeperPrometheusIstio
Read the architecture
Solution scenarioEnterprise IT

Terraform module library with policy as code

Drift between environments produces incidents after release, and standards exist only as documentation.

TerraformOPA / ConftestGitHub ActionsAWSAzure
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Solution scenarioRetail

Cost visibility and FinOps controls

Optimization stalls because nobody owns spend and nobody can measure the effect of a change.

AWS Cost ExplorerAthenaGrafanaTerraform
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How we work

Engineering principles behind these designs

Reproducible by default

If it cannot be rebuilt from a repository, it is a liability. Infrastructure, pipelines and configuration are code.

Make the safe path the easy path

Guardrails work when the compliant option is also the fastest one. We design for adoption, not for mandate.

Measure before and after

Baseline what matters, change one thing, then check. We report the result even when it is unremarkable.

Design for the handover

Every engagement ends with your team able to operate what we built, with documentation to match.

Prefer deterministic solutions

Use a query, a rule or a workflow engine where one suffices; reserve models and complexity for problems that need them.

Say what we do not know

Unknowns are stated and investigated rather than papered over with confident language.

Talk to the engineers who would do the work

Bring your current architecture, constraints and the problem you are trying to solve. We will tell you what we would change first, what it depends on, and where we would start.