Database Scaling Essentials
Understand foundational database scaling concepts like replication (read replicas) and sharding to handle increasing data volumes and query loads.
Scaling Database Demands
As your API grows, so does the amount of data and the number of requests to your database. A single database might struggle to keep up with the load.
Slow queries, timeouts, and even system crashes can occur, leading to a poor user experience. This is where database scaling becomes essential for maintaining performance and reliability.
Vertical vs. Horizontal Scaling
There are two primary ways to scale a database:
- Vertical Scaling (Scaling Up): This means adding more resources (CPU, RAM, storage) to a single database server. It's simpler but has physical limits and creates a single point of failure.
- Horizontal Scaling (Scaling Out): This involves distributing the database load across multiple servers. It offers much greater potential for growth and is often preferred for large-scale applications.
All lessons in this course
- Load Balancing Techniques
- Effective Caching Strategies
- Database Scaling Essentials
- Content Delivery Networks and Edge Scaling