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Cloud & Infrastructure
Google Cloud Blog·Jun 16·5 min read
How Atlas scales hundreds of merchant databases with Cloud SQL Enterprise Plus edition
TL;DR
Atlas faced challenges in scaling its merchant databases due to operational bottlenecks with the standard Cloud SQL Enterprise edition. By transitioning to Cloud SQL Enterprise Plus edition, they eliminated significant operational overhead and improved database management.
✦ Why It Matters
Engineers can learn how to leverage advanced database solutions to reduce operational overhead and improve scalability.
Key Takeaways
- Migrate to Cloud SQL Enterprise Plus for better database management.
- Utilize managed connection pooling to reduce operational overhead.
- Leverage query insights for proactive performance tuning.
- Focus engineering efforts on product development, not infrastructure.
Full Summary
Atlas, which provides an operating system for restaurants, faced challenges in scaling its database infrastructure as it onboarded more merchants. Initially using Cloud SQL Enterprise edition, they encountered operational bottlenecks due to separate connection pooling and limited query insights.
Transitioning to Cloud SQL Enterprise Plus allowed Atlas to integrate managed connection pooling, gain actionable query insights, maintain consistent read performance with a data cache, and scale with near-zero downtime. This shift led to a 30% decrease in time spent on database operations, allowing the team to focus on product development and innovation.
As a result, Atlas experienced significant growth, with a year-over-year increase of 200% to 300%. The robust infrastructure provided by Google Cloud enables Atlas to invest in AI-driven tools for restaurant operators.