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Consulting

Azure DevOps Consulting

Combine the enterprise power of the Microsoft ecosystem with modern Cloud-Native agility — Pipeline as Code, GitOps, and centralised artifact management.

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Microsoft & Partner Ecosystem

Azure DevOps
Azure Pipelines
Azure Repos
Terraform
Bicep
Azure Artifacts
Helm
Scope

What we cover

Run all Azure DevOps components together effectively. From organisation setup to pipeline automation, artifact feeds to environment management — full control on a single platform.

Pipeline Setup — YAML & Classic

CI build and CD release pipeline design, from-scratch setup, and documentation. YAML-based Pipeline as Code or Classic Editor — depending on your team's current situation.

Existing Pipeline Optimisation

Audit slow or failing pipelines. Identify parallelisation opportunities, caching strategies, and redundant steps that are inflating build times.

Environment and Approval Gate Management

Dev / Staging / Production environment configuration. Mandatory approval gates for production deployments. Deployment strategies: rolling, blue-green.

Pipeline as Code

Move pipeline definitions from the Classic Editor into YAML and into version control. Every change is auditable, reviewable, and reversible.

ADO Component Integration

Azure Repos, Boards, and Artifacts working together. From source control through work tracking to artifact feeds — one integrated platform.

Service Connections and Agent Setup

Service connections to Azure, AWS, Docker registries, and Kubernetes. Self-hosted agent deployment and auto-scaling when Microsoft-hosted agents aren't the right fit.

Process

Azure DevOps Transformation Process

From Classic Editor to GitOps — every step reversible, team-involved, and documented.

  1. 1

    ADO Organisation Setup

    Project structure, permission model, service connections, and agent pool strategy defined. Enterprise branching policies activated from day one.

  2. 2

    Pipeline as Code

    YAML-based CI/CD pipelines; centralised template repository, parallel stages, and environment approval mechanisms.

  3. 3

    Artifact & Environment

    Azure Artifacts feed, Docker registry integration, deployment environments, and blue-green / rolling release strategies.

  4. 4

    Integration & Handover

    Work Item — Git Commit linkage, agent pool automation (KEDA/VMSS), and team training for full ownership transfer.

Pipeline Flow

From Code to Production: Step by Step

From developer commit to end user — how the Azure DevOps CI/CD pipeline works.

Developer
1
VS / VS Code
2

Azure DevOps

Azure Repos
3 trigger
Azure Pipelines
4
Container Registry
5
AKS
6
DNS / Internet
① Code written & committed ② Push → Azure Repos ③ Pipeline triggered ④ Build › Test › docker push ⑤ helm upgrade → AKS ⑥ Service goes live
Architecture

AKS Deployment Architecture

From Container Registry to Kubernetes namespaces, Ingress to external data stores — enterprise-scale full architecture.

CI/CD
Azure Pipelines
helm upgrade →
docker push
Container Registry
ACR
docker pull →
Kubernetes Cluster
Azure Kubernetes Service (AKS)
Front End
LB
Ingress
Namespace
Back-end Services
Pod autoscaling
Namespace
Utility Services
Elasticsearch
Prometheus
Virtual Network
External Data Stores
Azure SQL
Relational
Cosmos DB
NoSQL / Global
Blob Storage
Object store
DevOps Team
RBAC →
Azure Active Directory
Azure Monitor
Azure Key Vault
Visual Proof

Enterprise ADO Transformation Checklist

At project close, every item below is configured, tested, and documented in the Azure DevOps environment your team takes ownership of.

Agent Infrastructure
  • Self-hosted agent pool setup and image standardisation
  • Agent auto-scaling (KEDA or VMSS based on demand)
  • Agent update and maintenance automation
  • Security: agents hold only the permissions they need
Pipeline Standardisation
  • YAML Pipeline as Code — all pipelines in Git
  • Centralised template repository (reusable stages/jobs)
  • Branch protection: mandatory review on main and release branches
  • PR policy: minimum 1 approver, build must pass before merge
Work Item & Git Integration
  • Commit message auto-links to Work Items (AB#ID format)
  • Branch naming convention: feature/, bugfix/, hotfix/ prefix enforced
  • Release tag registers deployment in Boards
  • Deployment history: which Work Item went to which environment, when
Artifact & Environment Management
  • Azure Artifacts NuGet/npm/Docker feed setup
  • Semantic versioning (SemVer) enforced
  • Environment approval gates (multi-approver for production)
  • Retention policy: old artifacts cleaned up automatically

Every item is walked through with the team before project close. Your team can operate every system independently.

Why Pipeline as Code?

Classic Editor pipelines live in the UI and outside version control. Moving to YAML puts pipeline changes through the same code review process as application code — which is where they belong.

Lives in Git

Every pipeline change is a commit. Who changed what, when, and why — all in the repo history.

Mandatory code review

Pipeline changes go through pull requests. Fewer regressions, whole team stays aware.

Reusable across environments

Template and parameter support lets the same pipeline serve Dev, Staging, and Production without duplication.

IDE and linter support

Azure Pipelines YAML schema can be validated in VS Code before you push. Catch errors before they fail in CI.

Technologies

Azure DevOps Azure Pipelines Azure Repos Azure Artifacts Azure Boards YAML Pipelines Terraform Bicep Docker Helm

Who is this for?

Teams in the Microsoft ecosystem setting up CI/CD on Azure DevOps for the first time, or teams with Classic Editor pipelines they want to modernise. Also engineering teams who need proper multi-environment promotion with approval gates, or who want to bring pipeline configuration under version control and eliminate the "only one person knows how this works" problem.

Ready to talk through your stack?

A direct technical conversation about where you are and what needs fixing.

Request a free assessment