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Spring Boot 4 Microservices & REST APIs · Lesson

Database Sharding & Replication

Understand advanced database scaling techniques such as sharding and replication for high-load systems.

Scaling Database Performance

As applications grow, a single database can become a bottleneck. High traffic, complex queries, or large datasets can slow things down.

To handle increasing load and ensure responsiveness, databases need to scale. This lesson explores two key techniques: Replication and Sharding.

What is Database Replication?

Database replication is the process of creating and maintaining multiple copies of a database.

These copies, often on different servers, serve two main purposes:

  • Improved Read Performance: Distribute read requests across multiple copies.
  • High Availability: If one server fails, another copy can take over.

All lessons in this course

  1. Optimizing Message Throughput
  2. Asynchronous Processing with WebFlux
  3. Optimizing Data Structure
  4. Scaling Consumers & Producers
  5. Caching Strategies for Microservices
  6. Denormalization Strategies
  7. Database Sharding & Replication
  8. Monitoring & Debugging Database
  9. Benchmarking RabbitMQ Performance
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