Migration of MySQL to Aurora Serverless for Swirl to Achieve Database Autoscaling
About Swirl
Swirl runs a live shopping mobile SaaS platform. They use interactive video to boost engagement and conversions. Based in Vadodara, they support over 100 retail, beauty, and lifestyle brands.
Their product drives real-time shopping and enriches the pre-purchase journey. Data traffic is highly variable. Their platform must stay responsive even under sudden load.
The Challenge
Swirl’s database used AWS RDS MySQL. Heavy traffic spikes hurt performance. They had downtime and slow responses. RDS couldn’t scale instantly under load.
They needed reliable, auto scaling, low maintenance, and cost-effective infrastructure.
Why Migrate to Aurora Serverless
AWS Aurora Serverless offered a strong solution. It auto scaled capacity in real time. It is compatible with MySQL. It reduced admin overhead and ensured high uptime.
Swirl picked it for database autoscaling, agility, and reduced complexity.
The Migration Strategy
Teleglobal led the MySQL to Aurora Serverless migration. We focused on:
A stable migration with minimal downtime.
Seamless compatibility with existing tools.
Autoscaling with consistent performance.
Better cost control during idle times.
We used AWS Database Migration Service (DMS) for safe migration. We tested queries, connections, and backup processes thoroughly.
Aurora Serverless Architecture & Autoscaling
Aurora Serverless v2 scales compute and memory quickly and in small steps. It supports high availability and multi-AZ failover.
This meant Swirl’s database could safely handle sudden surges without delays or manual tuning.
Migration Steps
We prepared a MySQL-compatible Aurora Serverless cluster.
Used DMS to sync data from RDS to Aurora.
Ran parallel tests and compared performance.
Swapped endpoints at cutover during low-traffic time.
We monitored capacity usage and adjusted thresholds as needed.
Key Benefits
Autoscaling: Database adjusted without idle cost.
High Availability: No single point of failure.
MySQL Compatibility: No code rewrite.
Lower Cost: Pay per use, with savings during quiet periods.
Ease of Use: No instance management required.
What Is AWS Aurora Serverless?
AWS Aurora Serverless is a MySQL/PostgreSQL-compatible RDS configuration. It scales up/down on demand. It pauses when unused and resumes when needed.
It suits spiky or unpredictable workloads like live events or sales traffic.
Why Choose Aurora Serverless for Autoscaling?
Because it solves key pain points:
Handles sudden traffic efficiently.
Avoids over-provisioning.
Matches capacity in small increments.
Reduces cost and risk with reliable failovers.
Real Results for Swirl
Zero database downtime during peak loads.
Quicker response times across live shopping sessions.
Database cost dropped during low-use periods.
Developers saved time and effort on scaling tasks.
The app became more reliable and scalable long term.
Example Before vs. After
Before Migration:
RDS fixed size caused slowdowns.
Manual tuning needed during peaks.
Wasted cost during idle time.
After Migration:
Aurora Serverless autoscaled instantly.
Efficient cost control.
Faster, reliable responses and less work for ops.
Future Opportunities
Swirl now can explore:
Using Aurora Serverless v2 reader endpoints for load balancing.
Integrating with AWS Lambda for on-demand queries.
Adding machine learning for user trend predictions.
Expanding to Aurora global databases for multi-region redundancy.
Conclusion
Swirl’s MySQL to Aurora Serverless migration matched their business needs. It delivered:
Autoscaling database that adjusts to demand.
Better cost control with pay-per-use billing.
Strong, reliable performance without manual tuning.
Aurora Serverless made their platform faster and more agile. It handled spikes smoothly. It made the team’s life easier while powering live shopping at scale.
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