Database Scaling Strategies for Large Applications
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Database Scaling Strategies for Large Applications
As applications grow, database performance becomes one of the biggest engineering challenges.
Vertical Scaling
Increasing server resources can improve performance for smaller systems.
Horizontal Scaling
Distributing data across multiple servers helps applications handle large workloads.
Caching Layer
Caching reduces repeated database queries and improves response times.
Database Optimization
Important techniques include:
- Indexing
- Query optimization
- Data partitioning
Final Thoughts
A scalable database strategy balances performance, reliability, and cost.
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Written by Jeevan Bhargav
Creator of InterviewsAce.AI and Full Stack Engineer.
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