Cloud Migration Guide

MySQL to Amazon Aurora Migration Guide

Complete guide for migrating MySQL to Amazon Aurora. Learn migration paths, performance optimization, and how to leverage Aurora's 5x performance advantage.

What is Amazon Aurora?

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud. It delivers up to 5x the throughput of standard MySQL with the security, availability, and reliability of commercial databases at 1/10th the cost. Aurora automatically scales storage up to 128TB and provides 99.99% availability.

Why Migrate to Amazon Aurora?

5x Performance

Aurora delivers up to 5x the throughput of standard MySQL on the same hardware with optimized storage and caching.

Auto-Scaling Storage

Storage automatically grows from 10GB to 128TB in 10GB increments. No downtime or performance impact.

99.99% Availability

Six-way replication across three Availability Zones with automatic failover in under 30 seconds.

6-Step MySQL to Aurora Migration Process

1

Pre-Migration Assessment

Analyze MySQL database and plan Aurora migration strategy.

  • Check MySQL version compatibility (5.6, 5.7, 8.0)
  • Assess database size and growth patterns
  • Identify custom MySQL features and extensions
  • Estimate Aurora instance size and costs
2

Aurora Cluster Setup

Provision Aurora cluster with appropriate configuration and security settings.

  • Create Aurora MySQL cluster in target region
  • Configure VPC, subnets, and security groups
  • Set up parameter groups for MySQL compatibility
  • Enable encryption, backups, and monitoring
3

Schema Migration

Migrate database schema from MySQL to Aurora with compatibility checks.

  • Export MySQL schema using mysqldump
  • Review and adjust for Aurora-specific optimizations
  • Create tables, indexes, and constraints in Aurora
  • Migrate stored procedures, functions, and triggers
4

Data Migration

Transfer data from MySQL to Aurora using optimal migration method.

  • Use AWS DMS for continuous replication
  • Or use mysqldump/mysqlimport for one-time migration
  • Or use Aurora cloning for RDS MySQL sources
  • Monitor migration progress and handle errors
5

Testing & Optimization

Validate data accuracy and optimize Aurora performance for production workload.

  • Perform data validation and reconciliation
  • Run application tests against Aurora
  • Optimize queries for Aurora's query optimizer
  • Configure read replicas for scaling
6

Cutover & Monitoring

Execute final cutover to Aurora and monitor performance metrics.

  • Perform final data sync
  • Update application connection strings
  • Monitor Aurora performance metrics
  • Optimize based on CloudWatch insights

Aurora Migration Methods Comparison

Choose the best migration method based on your requirements

AWS Database Migration Service (DMS)

Recommended

Continuous replication with minimal downtime. Best for production databases requiring near-zero downtime.

Downtime: Near-zero
Complexity: Medium
Best for: Large databases

Aurora Cloning (RDS MySQL only)

Fast, cost-effective cloning for RDS MySQL sources. Creates Aurora cluster in minutes.

Downtime: 5-10 minutes
Complexity: Low
Best for: RDS MySQL

mysqldump / mysqlimport

Traditional dump and restore method. Simple but requires downtime for large databases.

Downtime: Hours to days
Complexity: Low
Best for: Small databases

MySQL vs Aurora Performance

Real-world performance benchmarks (same hardware configuration)

Standard MySQL

  • Read Throughput10,000 queries/sec
  • Write Throughput5,000 queries/sec
  • Replication Lag2-5 seconds
  • Failover Time60-120 seconds

Amazon Aurora

5x Faster
  • Read Throughput50,000+ queries/sec
  • Write Throughput25,000+ queries/sec
  • Replication Lag<100ms
  • Failover Time<30 seconds

AI-Powered vs Manual Aurora Migration

FeatureDataMigration.AIManual Migration
Migration PlanningAI-recommended strategyManual analysis (2-3 days)
Schema OptimizationAurora-specific optimizationsDirect schema copy
Data Migration Speed300GB in 2-3 hours300GB in 8-12 hours
DowntimeNear-zero with DMS4-8 hours typical
Performance TuningAI-optimized for AuroraManual query optimization
Validation100% automated verificationSample-based validation
Total Timeline1-2 weeks4-6 weeks
Cost OptimizationRight-sized instance selectionOften over-provisioned
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