Seamless MySQL Upgrade on AWS Using Blue-Green Deployment

aws mysql upgrade

Upgrading a MySQL database on AWS can be a challenging task, especially when aiming for minimal downtime and a seamless transition. The Blue-Green Deployment method provides a robust solution by allowing database upgrades with an easy rollback option. In this guide, we’ll walk you through upgrading your MySQL database on AWS using the Blue-Green Deployment approach.

What is Blue-Green Deployment for Databases?

Blue-Green Deployment is a strategy that involves creating two separate database environments:

  • Blue (Current Production Database): This is your live MySQL database handling all active traffic.
  • Green (Upgraded Database): A new, upgraded version of your MySQL database, running in parallel to Blue.

Once the Green database is tested and verified, traffic is switched from Blue to Green, ensuring a smooth upgrade process with minimal service disruption.


Step-by-Step Guide to Upgrading MySQL on AWS

Step 1: Plan Your Upgrade

Before making changes, consider the following:

  • Check AWS RDS Upgrade Path: AWS provides both major and minor version upgrades for MySQL. Verify that your desired upgrade path is supported.
  • Review Application Compatibility: Ensure your application and queries are compatible with the new MySQL version.
  • Decide on a Downtime Strategy: Blue-Green allows near-zero downtime, but replication lag might introduce minor inconsistencies. For truly zero downtime, use AWS DMS (Database Migration Service).

Step 2: Set Up the Green (New) MySQL Database

For AWS RDS (Managed MySQL):

  1. Create a Snapshot of the Existing (Blue) Database:
    • Navigate to AWS RDS ConsoleDatabases.
    • Select your MySQL database (Blue).
    • Click Actions → Take Snapshot and name it (e.g., blue-db-snapshot).
  2. Launch a New (Green) Database from the Snapshot:
    • In the Snapshots tab, select blue-db-snapshot.
    • Click Actions → Restore Snapshot.
    • Choose the upgraded MySQL version and set the database identifier as green-db.
  3. Enable Read Replication (Optional for AWS DMS):
    • Enable binary logging (binlog) for real-time data replication between Blue and Green.

For Self-Managed MySQL (EC2):

  1. Launch a New EC2 Instance with the latest MySQL version.
  2. Backup & Restore Data: mysqldump -u root -p --all-databases > backup.sql scp backup.sql ec2-user@green-db:/home/ec2-user/ On the Green server: mysql -u root -p < backup.sql
  3. Set Up Replication (optional for minimizing data inconsistency).

Step 3: Test the Green Database

Before switching traffic, verify:

  • Application connection to green-db.
  • Query execution & performance benchmarks in AWS CloudWatch.
  • Replication status if using AWS DMS.

Step 4: Switch Traffic from Blue to Green

Option 1: Using Route 53 (DNS-Based Connections)

  1. Update the database CNAME record: db.example.com → green-db.endpoint.rds.amazonaws.com
  2. Lower TTL (Time-To-Live) for faster propagation.

Option 2: Modify AWS RDS Cluster Endpoint (For Aurora Users)

  • Update the cluster endpoint to point to green-db.

Option 3: Modify Application Configuration

  • Update database host settings in .env or config files.

Step 5: Monitor & Verify

  1. Use CloudWatch Metrics to monitor:
    • Query performance
    • Connection errors
    • Replication lag (if applicable)
  2. Run database consistency checks: SELECT COUNT(*) FROM table_name;
  3. If all tests pass, decommission the Blue database.

Step 6: Rollback Strategy (If Needed)

If issues arise after the switch:

  • Revert Route 53 DNS settings to blue-db.
  • Redirect traffic back to Blue.
  • Investigate and fix the issues in Green before reattempting the upgrade.

Final Thoughts

Using a Blue-Green Deployment for MySQL upgrades on AWS ensures minimal downtime and provides a fail-safe rollback mechanism. By carefully planning and testing, you can achieve a seamless upgrade while maintaining database integrity and application performance.

By following this step-by-step guide, you can confidently upgrade your MySQL database on AWS without disrupting your operations. 🚀

Scroll to Top