Migrate Amazon OpenSearch clusters from t2 to t3 instances to leverage improved performance, better CPU credits, and support for gp3 storage at the same price point.
Why This Policy Matters
Performance and Cost Efficiency
Upgrading to t3 instances provides critical advantages:
Higher CPU Performance: tT3 instances offer more advanced CPU architecture
Consistent Pricing: Same cost as t2 instances
Enhanced Storage Support: Native gp3 storage integration
Improved Burst Performance: More generous CPU credit mechanism
Potential Cost Savings
Organizations can realize significant benefits:
Compute Efficiency: Up to 30% better CPU performance
Storage Cost Reduction: Potential 10-15% storage cost optimization
Lower Total Cost of Ownership: More compute power without price premium
Implementation Guide
Infrastructure-as-Code Example (Terraform)
Before (Inefficient T2 Configuration)
After (Optimized T3 Configuration)
Manual Migration Steps
Assess Current Environment
Inventory existing T2 OpenSearch instances
Evaluate workload characteristics
Determine appropriate T3 instance size
Plan Migration
Schedule maintenance window
Create snapshot of existing domain
Prepare rollback strategy
Execute Migration
Update instance type in AWS Console or infrastructure code
Verify cluster health post-migration
Monitor performance metrics
Best Practices
Gradual Rollout: Migrate non-production environments first
Performance Testing: Validate application compatibility
Cost Monitoring: Track performance and cost metrics
Use Infracost: Prevent future misconfigurations and estimate potential savings
Recommended Tools
Infracost: Scan infrastructure code for optimization opportunities
AWS Cost Explorer: Track migration cost impacts
AWS Performance Insights: Monitor cluster performance post-migration
Real-World Scenarios
Scenario 1: E-commerce Search Optimization
Challenge: Legacy t2 instances limiting search performance
Solution: t3 migration improved query response times by 40%
Result: Enhanced user experience, reduced infrastructure costs
Scenario 2: Log Analytics Platform
Challenge: Growing log volume straining existing infrastructure
Solution: t3 instances provided better burst performance
Result: More efficient data processing, lower operational overhead
Considerations and Caveats
Potential Limitations
Workload Compatibility: Not all applications benefit equally
Migration Complexity: Requires careful planning
Potential Temporary Performance Dips: During initial migration
When to Avoid
Stable, Low-Traffic Environments
Highly Specialized Workloads
Instances with Custom Performance Requirements
Frequently Asked Questions (FAQs)
How long does a typical T2 to T3 migration take?
Most migrations complete within 30-60 minutes, depending on cluster size and complexity.
Are there any data migration risks?
When performed correctly, migrations are low-risk. Always maintain backups and have a rollback plan.
Can I use Infracost to estimate migration savings?
Yes, Infracost provides cost estimation and optimization recommendations for infrastructure changes.
What if my application doesn’t support T3 instances?
Conduct thorough compatibility testing. Some legacy applications might require additional configuration.
How often should I review instance generations?
Recommend quarterly reviews of instance types and generations for ongoing optimization.
Create Free Account
This policy is supported in Infracost and available in the free trial. Sign up today and scan your code using our entire library of FinOps policies.