Practice 04 · Engineering excellence
Microsoft programs stay healthy when every release is automated, traceable and reversible. We design and implement the ALM frameworks, CI/CD pipelines, branching strategies, automated test suites, and Agile operating models that make that real — not aspirational.
Five capability areas
Azure Pipelines — YAML & classic
Pipeline design and implementation for every Microsoft workload — Dynamics 365 FSCM via LCS, Power Platform solutions through Power Platform Build Tools, .NET services, Azure Functions, Infrastructure-as-Code and container workloads.
Branching strategy & code governance
Version control for every artifact produced by a Microsoft program — X++ code, AL extensions, Power Platform solutions as unpacked source, Bicep / ARM / Terraform, configuration packages, and documentation.
Azure Artifacts feeds & package strategy
Governed package management for NuGet, npm and Python packages — internal libraries, Dynamics deployable packages, and Power Platform solution packages promoted through versioned feeds aligned to your environment rings.
Unit, integration, regression & UAT
Quality gates that don't evaporate after go-live. We build and integrate automated test suites at every layer — unit, integration, regression and performance — using the tools native to each Microsoft technology.
Scrum, Kanban & SAFe delivery
Azure Boards configured to match how the team actually works — epics, features, user stories, tasks and bugs linked to code commits and test cases. Velocity reporting, capacity planning and sprint retrospectives that produce action, not theater.
Bicep, ARM, Terraform & GitOps
Every Azure resource defined in version-controlled, peer-reviewed code — deployed through pipelines, never through the Portal. Eliminates configuration drift, enables disaster recovery in minutes, and gives your team a clear change history for every environment.
ALM by technology
Source in Git. Build agent compiles X++ and produces a deployable package. Pipeline uploads the package to Lifecycle Services Asset Library and triggers a deployment to the target environment. Automated RSAT tests run as a release gate. Full audit trail through Azure DevOps work items.
Solutions unpacked into source-controlled Dataverse component files (entities, flows, canvas apps, plug-ins). Power Platform Build Tools pack the managed solution, import through Dev → Sandbox → UAT → Production with approval gates. No manual exports in any non-Dev environment.
AL extensions in Git with per-branch BC environments on Docker / SaaS sandbox. Pipeline compiles the app, runs AL test codeunits, and publishes the .app package to a target environment or AppSource. Semver enforced by pipeline policy.
All Azure infrastructure defined in Bicep checked into the same monorepo as the application code. 'What-if' previews on every pull request, pipeline deployment on merge, and drift-detection scheduled pipeline to catch out-of-band changes. Full history, full rollback.
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