Enterprise databases rarely fail loudly. They fail expensively. Teams shard to keep up, then spend years managing the fallout: hundreds of clusters, planned downtime for every upgrade, and schema changes that take a week to run. The application grows, and so does the tax on running it.
This eBook shows how four enterprises (Atlassian, Plaid, Bolt, and Pinterest) replaced sharded and single-writer architectures with distributed SQL. The result: smaller fleets, no maintenance windows, and lower infrastructure costs at scale.
You’ll discover:
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- How Atlassian consolidated 750+ PostgreSQL clusters into 16 and validated 500,000 concurrent connections per cluster.
- Why Plaid’s upgrades went from 26 engineering weeks and 104 minutes of downtime to one week and zero downtime.
- How Bolt cut a week-long MySQL schema change to 22 minutes and made distributed SQL the default for every new microservice.
- How Pinterest retired one of the world’s largest HBase deployments and cut infrastructure costs by up to 80%.
If your database is setting the pace of your roadmap, start with the foundation. Read the eBook to see how distributed SQL makes scaling automatic instead of a recurring engineering project.