S04 Service Validation - Requirements

S04 Service Validation - Requirements

Business Context

Customer Profile

Company: Contoso Healthcare Systems
Industry: Healthcare Technology
Size: Mid-market (500-2000 employees)
Region: Europe (GDPR compliance required)
Current State: Migrating legacy applications to Azure

Business Challenge

Contoso Healthcare is undergoing a digital transformation and migrating their patient management system to Azure. As part of their Azure Infrastructure Specialization journey, they must demonstrate Module B Control 4.1: Service Validation and Testing.

Key Pain Points:

1. Manual Testing Overhead: Current validation process takes 40+ hours per release
2. Inconsistent Testing: Different testers use different approaches, leading to gaps
3. Audit Requirements: Healthcare regulations require documented evidence of testing
4. Performance Unknown: No baseline metrics for service performance
5. Downtime Risk: Lack of resilience testing leads to unexpected outages

Business Objectives

1. Reduce Validation Time: Cut testing cycle from 40 hours to < 10 hours (75% reduction)
2. Automate Testing: Implement automated load testing, API validation, and resilience checks
3. Audit Compliance: Generate audit-ready validation reports with evidence
4. Performance Baseline: Establish and track performance metrics over time
5. Quality Assurance: Ensure 99.9% availability and < 500ms response times

Technical Requirements

Application Profile

Application: SAIF API v2 (Secure AI Framework)
Technology Stack:

• Backend: Python 3.11 (FastAPI framework)
• Database: Azure SQL Database (Entra ID authentication)
• Containers: Azure Container Registry + App Service (Linux)
• Monitoring: Application Insights + Log Analytics

API Endpoints:

• GET / - Health check and application metadata
• GET /api/version - Application version information
• GET /api/whoami - Managed identity information
• GET /api/sourceip - Client IP address
• GET /api/sqlwhoami - SQL database identity verification
• GET /api/sqlsrcip - SQL connection information

Infrastructure Requirements

Compute

• App Service Plan: Premium P1v3 (zone redundancy)
• App Services: 2 instances (API + Web frontend)
• Scaling: Manual scaling for demo (auto-scale for production)

Data

• SQL Server: Entra ID-only authentication (no SQL auth)
• SQL Database: Basic tier for demo (Standard/Premium for production)
• Data Residency: Sweden Central (EU data sovereignty)

Security

• Authentication: Azure Managed Identity (no connection strings)
• Network: HTTPS-only, TLS 1.2 minimum
• Secrets: Azure Key Vault for sensitive configuration
• Access Control: RBAC for all resources

Monitoring

• Application Insights: Request tracking, dependency monitoring, exceptions
• Log Analytics: Centralized logging and queries
• Alerts: Performance degradation, error rate, availability

Validation Requirements

1. Load Testing

Objective: Validate application can handle expected production load

Requirements:

• Test with 10-50 concurrent users
• Duration: 30-120 seconds for quick validation
• Endpoints: All public API endpoints
• Success Criteria:
  • Success rate > 99%
  • Average response time < 500ms
  • Requests per second > 10
  • Error rate < 1%

Tooling:

• Simple bash script with curl (quick-load-test.sh)
• No complex infrastructure required
• CI/CD integration ready

2. API Endpoint Validation

Objective: Verify all endpoints return expected responses

Requirements:

• Test each endpoint individually
• Validate HTTP status codes (200 OK)
• Verify JSON response structure
• Check authentication and authorization
• Test error handling (4xx, 5xx)

Test Coverage:

• Health check endpoint (/)
• Version endpoint (/api/version)
• Identity endpoints (/api/whoami)
• Database connectivity (/api/sqlwhoami)
• Error scenarios (invalid routes, malformed requests)

3. Performance Baseline

Objective: Establish performance benchmarks for ongoing monitoring

Requirements:

• Measure cold start time (< 2 seconds acceptable)
• Measure warm response times (< 500ms target)
• Calculate percentiles (P50, P95, P99)
• Test under various load conditions
• Document baseline in version control

Baseline Metrics:

• Minimum response time
• Average response time
• Median (P50)
• 95th percentile (P95)
• 99th percentile (P99)
• Maximum response time
• Requests per second (RPS)

4. Database Connectivity

Objective: Validate managed identity authentication to SQL Database

Requirements:

• Verify Entra ID authentication works
• Test database read/write operations
• Validate connection pooling
• Check failover behavior (if applicable)
• No hardcoded credentials or connection strings

Test Scenarios:

• Managed identity token acquisition
• SQL query execution
• Connection timeout handling
• Database unavailability scenarios

5. Security Validation

Objective: Ensure security best practices are implemented

Requirements:

• HTTPS enforcement (HTTP redirects to HTTPS)
• TLS 1.2+ only
• No public blob access
• Managed identities configured
• No secrets in code or configuration
• Security headers present (X-Frame-Options, etc.)

Compliance:

• GDPR (data residency in EU)
• Healthcare data handling (HIPAA-aligned practices)
• Azure Security Benchmark alignment

Acceptance Criteria

Deployment Success

• Infrastructure deploys without errors in < 10 minutes
• Application is accessible via HTTPS
• All containers pull successfully from ACR
• Database connection works with managed identity
• Application Insights receives telemetry
• No secrets in plaintext anywhere

Testing Success

• Load test passes with > 99% success rate
• All API endpoints return 200 OK
• Response times meet < 500ms target
• Baseline performance documented
• SQL connectivity validated
• Test results exportable for audit

Documentation Success

• README covers deployment and testing steps
• Architecture diagram shows all components
• Test reports include metrics and pass/fail status
• Troubleshooting guide addresses common issues
• Demo script is executable in 30-45 minutes

Audit Readiness

• Test execution logs with timestamps
• Performance metrics with thresholds
• Evidence of automated testing
• Customer sign-off template available
• Reports exportable as PDF or markdown

Constraints and Assumptions

Constraints

1. Budget: Demo environment should be low-cost (< $100/month)
2. Time: Full deployment + validation in < 1 hour
3. Complexity: Simple enough for IT Pros to understand and replicate
4. Tooling: Use native Azure services where possible

Assumptions

1. Azure Subscription: User has Contributor access to subscription
2. Azure CLI: Pre-installed and authenticated
3. PowerShell 7+: Available for deployment scripts
4. curl/bash: Available for load testing (Linux/WSL/macOS)
5. GitHub Copilot: User has Copilot access for prompt examples

Out of Scope

1. Chaos Engineering: Future enhancement (not in MVP)
2. Multi-region: Single region deployment for demo
3. Custom Domains: Using default *.azurewebsites.net domains
4. Advanced Monitoring: Basic Application Insights only
5. Production Scale: Demo-scale infrastructure (not near-production-ready)

Success Metrics

Time Savings

Quality Metrics

• Test Coverage: 100% of API endpoints
• Automation: 90% of validation automated
• Repeatability: 100% repeatable via scripts
• Documentation: Complete and audit-ready

Business Value

• Faster Releases: 84% reduction in validation time enables faster delivery
• Audit Compliance: Automated evidence generation for Module B Control 4.1
• Quality Assurance: Consistent testing reduces production incidents
• Cost Efficiency: Reusable scripts reduce ongoing validation costs

User Stories

Story 1: IT Pro Deploying Application

As an IT Professional at Contoso Healthcare
I want to deploy a containerized application to Azure with automated validation
So that I can prove it meets performance and reliability requirements

Acceptance Criteria:

• Deploy infrastructure with one command
• Application accessible within 5 minutes
• Validation tests run automatically
• Results documented for audit

Story 2: DevOps Engineer Running Validation

As a DevOps Engineer
I want to run automated load tests against my application
So that I can validate performance before production release

Acceptance Criteria:

• Execute load test with single command
• Results show success rate and response times
• Test exits with code 0 (pass) or 1 (fail)
• Results saved for historical comparison

Story 3: Security Auditor Reviewing Evidence

As a Security Auditor
I want to review documented evidence of service validation
So that I can verify Module B Control 4.1 compliance

Acceptance Criteria:

• Test execution logs with timestamps
• Performance metrics with pass/fail thresholds
• Infrastructure as code (auditable)
• Evidence of automated testing

Story 4: System Integrator Replicating for Customer

As a System Integrator partner
I want to replicate this validation scenario for my customer
So that I can demonstrate Module B Control 4.1 capability

Acceptance Criteria:

• Complete documentation for replication
• All scripts and templates provided
• Clear architecture diagrams
• 30-minute demo script included

Dependencies

External Dependencies

1. Azure Subscription: Active subscription with credit
2. Azure CLI: Version 2.50.0 or newer
3. GitHub Account: For accessing repository
4. GitHub Copilot: For prompt examples (optional but recommended)

Internal Dependencies

1. SAIF Application: Source code in repository
2. Bicep Templates: Infrastructure as code
3. Container Images: Built and pushed to ACR
4. SQL Database: Initialized with schema

Risks and Mitigations

References

• Azure Well-Architected Framework
• Azure SQL Managed Identity
• Azure App Service Best Practices
• Application Insights
• Azure Infrastructure Specialization - Module B

Document Version: 1.0
Last Updated: November 24, 2025
Owner: DevOps Team
Status: ✅ Approved