Infrastructure as Code Reviews
Visualize Infrastructure as Code Changes Before Merging Use Cloudeval to review ARM template and Bicep file changes in pull requests, understand the impact of changes, and catch issues before they reach production.Use Case Overview
Who: DevOps engineers, cloud architects, team leads, code reviewers When:- Before merging pull requests
- Reviewing infrastructure changes
- Understanding change impact
- Catching configuration errors
- Validating architecture decisions
Workflow
Step 1: Review Pull Request
- Open pull request with Infrastructure as Code changes
- Identify changed files - ARM templates, Bicep files
- Download changed files or access via PR integration
- Upload to Cloudeval - Create temporary project for review
Step 2: Generate Comparison Diagrams
- Upload baseline - Current production template
- Upload changes - Proposed changes
- Compare diagrams - See visual diff
- Identify differences - Resources added, removed, modified
Step 3: Analyze Changes
- Review new resources - What’s being added
- Review removed resources - What’s being deleted
- Review modifications - What’s changing
- Check dependencies - Impact on other resources
Step 4: Validate Changes
- Run security analysis - Check for security issues
- Review cost impact - Estimate cost changes
- Validate configuration - Check for errors
- Test relationships - Verify dependencies
Step 5: Provide Feedback
- Add comments - Specific feedback on changes
- Suggest improvements - Better configurations
- Approve or request changes - Based on review
- Document findings - For future reference
Key Features for Code Reviews
Visual Diff
Compare Diagrams:- Side-by-side - Baseline vs. changes
- Highlight differences - Color-coded changes
- Resource changes - Added (green), removed (red), modified (yellow)
- Dependency changes - New or broken relationships
- Quick understanding of changes
- Visual impact assessment
- Catch unintended changes
- Understand scope of changes
Change Analysis
Automatic Analysis:- New resources - What’s being added
- Removed resources - What’s being deleted
- Modified resources - What’s changing
- Dependency changes - Impact on relationships
Security Review
Automatic Security Checks:- New vulnerabilities - Security issues in changes
- Removed security - Security that’s being removed
- Configuration risks - Potential security problems
- Compliance impact - Compliance changes
Cost Impact
Cost Analysis:- New costs - Additional spending
- Cost savings - Reduced spending
- Cost changes - Modified resource costs
- Total impact - Overall cost change
Code Review Scenarios
Scenario 1: New Feature Deployment
Context: Adding new microservice to infrastructure Review Process:- Upload changed template to Cloudeval
- Generate diagram - See new resources
- Review security - Check for vulnerabilities
- Verify dependencies - Ensure correct connections
- Check costs - Understand cost impact
- Approve or request changes
- New resources properly configured
- Security best practices followed
- Dependencies correctly set
- Cost is acceptable
Scenario 2: Infrastructure Update
Context: Upgrading database tier and scaling Review Process:- Compare before/after - Visual diff
- Review modifications - What’s changing
- Check impact - Affected resources
- Validate configuration - Correct settings
- Test dependencies - No broken connections
- Approve changes
- Upgrade path is correct
- No breaking changes
- Dependencies still work
- Configuration is valid
Scenario 3: Security Hardening
Context: Adding security improvements Review Process:- Review security changes - What’s being improved
- Check for regressions - No security removed
- Verify configurations - Security settings correct
- Test access - No broken access
- Approve security improvements
- Security actually improved
- No new vulnerabilities
- Access still works
- Compliance maintained
Best Practices
Review Checklist
Before Approving:- Visual diagram reviewed
- Security analysis passed
- Cost impact acceptable
- Dependencies correct
- Configuration valid
- No breaking changes
- Documentation updated
Provide Constructive Feedback
Good Feedback:- Specific issues identified
- Suggestions for improvement
- References to best practices
- Examples of better approaches
Use Visual Evidence
Include in Comments:- Screenshots of diagrams
- Highlighted issues
- Comparison views
- Visual explanations
- Clearer communication
- Faster understanding
- Better documentation
- Reduced back-and-forth
Integration with CI/CD
Automated Reviews
GitHub Actions Example:- Automatic reviews on every PR
- Consistent review process
- Catch issues early
- Reduce manual review time
PR Comments
Automatic PR Comments:- Security findings
- Cost impact summary
- Visual diagram links
- Change analysis
- Reviewers see findings immediately
- Visual context in PR
- Faster review process
- Better documentation
Next Steps
- Security Audits - Related use case
- Export & Share - Share review findings
- Getting Started - Learn the basics
- Architecture Planning - Related use case
Ready to improve your code reviews? Try Cloudeval now
