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.
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.
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.
Teleglobal led the MySQL to Aurora Serverless migration. We focused on:
We used AWS Database Migration Service (DMS) for safe migration. We tested queries, connections, and backup processes thoroughly.
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.
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.
Because it solves key pain points:
Swirl now can explore:
Swirl’s MySQL to Aurora Serverless migration matched their business needs. It delivered:
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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