Infrastructure Stability Refactoring
Problem Solved: A production Terraform module managing Azure Application Insights web tests suffered from unintended infrastructure recreation, causing potential service outages when configuration lists were reordered.
Root Cause: The module used count for resource iteration, where resources were identified by their position in a list. Any change to list order (adding/removing items, reordering) triggered destroy-and-recreate operations for all subsequent resources.
Solution Implemented
Refactoring Approach:
- Migrated from
counttofor_eachwith stable map keys - Redesigned input variables from lists to maps for consistent resource identity
- Map keys became the single source of truth for resource naming and referencing
Key Changes:
- Input variables:
list(object)→map(object) - Resource iteration:
count = length(var.items)→for_each = var.items - Resource naming: Index-based → Key-based identifiers
Impact & Results
Infrastructure Stability:
- Eliminated unexpected resource recreation during configuration updates
- Reduced production outage risk from infrastructure changes
- Enabled safe, predictable Terraform deployments
Operational Benefits:
- Simplified web test management and modifications
- Improved deployment reliability and confidence
- Enhanced infrastructure change management processes
Technologies & Tools
- Terraform: Infrastructure as Code framework
- Azure Application Insights: Web test monitoring service
- Azure Cloud: Target infrastructure platform
- Git: Version control for module and documentation
- Semantic Versioning: Module release management
Project Scope
Module Components Refactored:
- Web test resources and configurations
- Alert rules and action groups
- Input validation and type constraints
- Output structures and data flow
Supporting Work:
- Complete documentation rewrite
- Usage examples and migration guides
- Comprehensive testing strategy
- Major version release with breaking change communication
This project demonstrates expertise in Terraform best practices, infrastructure stability engineering, and production risk mitigation through thoughtful module design and refactoring.