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About This Project

Background

Azure PaaS services — App Service, Functions, Container Apps — are well-documented on Microsoft Learn. The official documentation is accurate and comprehensive for standard usage patterns.

However, real-world support and troubleshooting scenarios frequently encounter situations that official documentation does not address:

  • Edge cases that only surface under specific load, timing, or configuration conditions
  • Ambiguity about whether an observed behavior is a platform issue or an application issue
  • Metrics and signals that are technically correct but easily misinterpreted
  • Gaps between what can be stated with confidence and what requires additional evidence

This repository exists to fill those gaps through reproducible, evidence-based experiments.

Goals

  • Reproduce Azure PaaS edge cases and failure modes through controlled experiments
  • Standardize the experiment structure: question, hypothesis, observation, interpretation, limits
  • Build a reusable troubleshooting knowledge base grounded in evidence, not assumption
  • Serve as a deeper evidence layer that complements the practical guide series
  • Provide support-ready interpretations that distinguish between observed facts and inferences

Non-goals

  • This is not a beginner's guide to Azure PaaS services
  • This is not a replacement for Microsoft Learn documentation
  • This is not an exhaustive performance benchmark suite
  • This is not an official RCA or Microsoft internal analysis
  • This does not attempt to reproduce every scenario in a production-identical environment

Core principles

Hypothesis-driven — Every experiment starts with a clear question or testable prediction. No experiment is conducted "just to see what happens."

Evidence over assertion — Observed facts and interpretations are separated. Conclusions state their confidence level explicitly.

Reproducibility — Environment, conditions, and procedures are recorded in enough detail for others to repeat the experiment.

Support-oriented interpretation — Results are framed in terms of what a support engineer would need to know when handling a similar case.

Platform/app boundary awareness — Every experiment considers whether the observed behavior is platform-side, application-side, or a shared-resource effect.

Clear limits — Every experiment states what it does not prove. Over-claiming is treated as a defect.

Target audience

Primary:

  • Azure Support Engineers and Escalation Engineers
  • Cloud platform operators running App Service, Functions, or Container Apps
  • Engineers who need to distinguish platform issues from application issues

Secondary:

  • SRE and platform engineering teams
  • Developers building on Azure PaaS who want deeper understanding
  • Technical writers and bloggers covering Azure troubleshooting

Relationship with practical guides

This repository and the practical guide series serve different purposes:

Practical Guides Troubleshooting Labs
Scope Broad reference and operational guidance Narrow, deep investigation
Content Architecture, deployment, best practices Failure reproduction, edge cases, evidence
Tone Instructional Investigative
Evidence level Summarizes official guidance Generates original experimental evidence

The two are complementary. Lab experiments link to relevant guide sections for context; guides link to labs for deeper evidence.

Author

By Yeongseon Choe

Resource Role
azure-app-service-practical-guide Comprehensive App Service reference
azure-functions-practical-guide Comprehensive Functions reference
azure-container-apps-practical-guide Comprehensive Container Apps reference
azure-monitoring-practical-guide Monitoring and observability reference

Live site

License

MIT