<- Back to featured projects

Draft Case Study

Azure DevOps Workload Visibility with Power BI

Leadership requires clearer planning visibility and delivery signals across engineering initiatives.

Azure DevOpsPower BIReportingGovernance

Problem

Leadership requires clearer planning visibility and delivery signals across engineering initiatives.

Architecture

Draft architecture aggregates pipeline and work-item data into curated analytics models.

Work ItemsPipelinesModelPower BI
Sanitized analytics pipeline from delivery tools to executive dashboards.

Reference/proposed architecture diagram for portfolio demonstration. Not a client production architecture.

Architecture Explorer

Workload Visibility: Delivery telemetry aggregation into curated analytics views.

Reference

Data flow: Planning and delivery signals are normalized into semantic models and visualized through role-scoped dashboards.

Accessible alternative: use the component buttons below to inspect architecture details without zoom.

Legend

  • Ingress / Trigger
  • Orchestration
  • Data / Storage
  • Security
  • Observability
  • Operations
  • Work Tracking Data ~> Analytics Model (planning data)
  • Pipeline Telemetry ~> Analytics Model (delivery data)
  • Analytics Model -> Executive Dashboard (curated metrics)

Component Details

Work Tracking Data

Capture backlog and planning signals.

Responsibilities: Work item history | Planning data

Security controls: Read-scope enforcement

Dependencies: Analytics Model

Design decisions: Separate planning lens from operations telemetry.

Security

Draft security controls include scoped dataset access and sanitized reporting boundaries.

Verified Outcomes

  • Draft: improved delivery visibility for planning and prioritization discussions.
  • Draft: more consistent reporting language across engineering stakeholders.

Design Decisions

  • Separate operational and leadership reporting lenses for relevant decision support.
  • Normalize delivery data to reduce inconsistent interpretation across teams.
  • Apply role-based report access to avoid broad exposure of sensitive planning details.

Implementation

  • Extract work-item and pipeline telemetry into curated analytics datasets.
  • Define semantic models for capacity, throughput, and release-flow views.
  • Publish dashboards with role-scoped access and scheduled refresh controls.

Trade-offs

  • Centralized reporting improves consistency but requires ownership for data quality governance.
  • Frequent refresh windows improve recency while increasing data pipeline load.

Engineering Evidence

Reference architecture evidence

Architecture Evidence

Diagram classification: Reference

Sanitized data flow: Work-item and pipeline telemetry are normalized into an analytics model and rendered through role-scoped dashboard views.

Diagram source id: azure-devops-workload-visibility-powerbi

Evidence pending: no implemented demo route is linked for this case study.

Automated Tests and Results

  • Diagram validation and explorer rendering

    tests/architecture-explorer.test.ts

Latest test run (2026-09-26): Evidence pending: add executable modules and targeted tests for this case study.

Command: No case-study-specific automated tests are currently implemented for this architecture draft.

Latest build run (2026-09-26): Portfolio build passes, but this case study still lacks project-specific implementation artifacts.

Command: node_modules/.bin/next.cmd build

Limitations and Verification Gaps

  • No ETL implementation, semantic model definitions, or dashboard source files are committed.
  • No refresh scheduling or metric-validation test outputs are present.

Evidence Pending

  • Add data extraction/transformation modules and semantic-model definitions.
  • Add automated tests validating metric calculations and dataset integrity.

Evidence Status

  • Local checks: Architecture/content checks only.
  • CI checks: Repository lint/type/build checks available.
  • Azure deployment: Not performed / Evidence pending.

Reproduction and Dependencies

Dependencies

  • Node.js (current project uses Next.js 16.x, React 19.x, TypeScript 6.x)
  • npm install
  • Local binaries under node_modules/.bin for lint/typecheck/test/build

Reproduction steps

  1. npm install
  2. Review architecture model in lib/architecture-explorer-data.ts
  3. Open the project case-study route and inspect Architecture Explorer
  4. Implementation evidence requires source modules and automated tests specific to this case study