The Ev5 series offers enhanced computational capabilities and more cost-effective pricing compared to older G series virtual machines. This policy recommends evaluating and migrating to newer machine types that provide better price-to-performance ratios.
Why This Policy Matters
Performance and Cost Efficiency
Upgrading to Ev5 series machines delivers multiple critical benefits:
- Enhanced Processor Technology: Newer Intel processors with improved architecture
- Better Performance-per-Dollar Ratio: More computational power at lower cost
- Reduced Total Cost of Ownership (TCO)
- Improved Energy Efficiency
Concrete Cost Savings Example
Consider a direct comparison between older and newer machine types:
Machine Type | vCPUs | RAM | Storage | Monthly Cost |
---|---|---|---|---|
G4 Instance | 16 | 224 GB | 3072 GB | $3,212 |
E32 v5 Instance | 32 | 256 GB | 800 GB | $1,472 |
Key Insight: 54% cost reduction with a more performant machine configuration
Implementation Strategy
Infrastructure-as-Code Example (Terraform)
# Before (Old Configuration)
resource "azurerm_virtual_machine" "example" {
vm_size = "Standard_G4"
# Other configuration parameters
}
# After (Upgraded Configuration)
resource "azurerm_virtual_machine" "example" {
vm_size = "Standard_E32_v5"
# Other configuration parameters
}
Manual Migration Steps
- Assessment
- Inventory current G series machine deployments
- Document current workload requirements
- Analyze performance metrics
- Planning
- Select appropriate Ev5 series replacement
- Create migration runbook
- Schedule maintenance window
- Migration
- Backup existing systems
- Provision new Ev5 instances
- Migrate data and configurations
- Validate performance
Best Practices
- Gradual Migration: Avoid simultaneous large-scale upgrades
- Performance Testing: Validate workload compatibility
- Cost Monitoring: Track actual savings post-migration
- Regular Review: Continuously assess machine type efficiency
Tools for Implementation
- Infracost: Automatically detect and recommend VM series upgrades
- Azure Cost Management
- Azure Advisor
Real-World Scenarios
Web Application Hosting
A mid-sized digital agency migrated 20 G4 instances to Ev5, reducing monthly infrastructure costs by $32,400 while improving overall application responsiveness.
Data Processing Workloads
A big data analytics team replaced legacy G series machines with Ev5, achieving:
- 40% compute performance increase
- 55% cost reduction
- Improved machine learning model training times
Potential Considerations
Potential Limitations
- Compatibility: Some legacy applications might require specific configurations
- Migration Complexity: Requires careful planning and testing
- Initial Migration Overhead: Short-term implementation costs
When to Avoid Immediate Upgrade
- Extremely customized legacy systems
- Applications with very specific hardware dependencies
- Imminent major system redesign