๐ฆ๐๐ผ๐ฝ ๐ง๐ฟ๐ฒ๐ฎ๐๐ถ๐ป๐ด ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ ๐๐ถ๐ธ๐ฒ ๐๐ป ๐๐ณ๐๐ฒ๐ฟ๐๐ต๐ผ๐๐ด๐ต๐
You scale your compute. You use serverless functions. You use Kubernetes. You think you removed all bottlenecks.
Your database is the real bottleneck.
Fast compute hits a slow database. You built a fast road to a brick wall.
Common mistakes:
- N+1 queries. One query gets a list. Then N queries get the details. This kills performance.
- Bad sharding. Poor data splits create uneven loads.
Managed services like AWS Aurora help with servers. They do not fix bad design.
Focus on these steps:
- Design a clean schema.
- Use proper indexing.
- Set up connection pooling.
- Use eager loading to stop N+1 queries.
- Batch your write operations.
- Use Redis or Memcached for caching.
Infrastructure is not a magic fix. Fix your data layer first. Then your system scales.