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The ‘Boring’ Database Feature That’s Saving Startups $35K/Month in Cloud Costs
- A technical co-founder of a bootstrapped SaaS startup shares how implementing database partitioning led to a significant reduction in cloud costs.
- Despite their user base growing to 85,000, the startup managed to reduce their AWS bill by over $35,000 monthly without sacrificing performance.
- The solution was implementing a 'boring' database feature, database partitioning, which divides a database table into smaller partitions for better management.
- The startup's application, a compliance management platform for financial services, stored data intensively using a standard tech stack before implementing database partitioning.
- They realized a cost-saving opportunity after discovering that 93% of their queries were accessing less than 5% of their data.
- By implementing a partitioning strategy for their largest tables, they achieved improved performance and cost savings on AWS RDS.
- PostgreSQL's declarative partitioning syntax was utilized for implementing partitioning strategies on AWS RDS.
- The startup saw benefits beyond cost savings, including improved development focus, consistent application response times, and enhanced unit economics.
- Database partitioning, although adding complexity, proved to be manageable and beneficial for the startup without requiring major application changes.
- Proper analysis of query patterns, strategic partitioning key selection, and implementation of maintenance scripts are crucial for successful database partitioning.
- The article emphasizes the value of fundamental solutions like database partitioning for sustainable infrastructure and cost-effective growth in data-heavy applications.
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