Capstone Project – Distributed Cache
The grand finale is where we take everything we’ve learned and apply it to a real-world challenge. You might be thinking, “Surely, building a distributed cache can’t be that complex.” Spoiler alert: it’s not just about slapping together some in-memory storage and calling it a day. This is where theory meets practice, and trust me, it’s a wild ride.
Our distributed cache will be designed to handle frequent read and write operations with minimal latency. It will distribute data across multiple nodes to ensure scalability and fault tolerance. We’ll implement key features such as data sharding, replication, and eviction policies.
This chapter will cover the following key topics:
- Setting up the project
- Implementing data sharding
- Adding replication
- Eviction policies
By the end of this capstone project, you’ll have built a fully functional distributed cache...
