In this chapter, we will discuss the architecture behind Apache Cassandra in detail. We will discuss how Cassandra was designed and how it adheres to the Brewer's CAP theorem, which will give us insight into the reasons for its behavior. Specifically, this chapter will cover:
- Problems that Cassandra was designed to solve
- Cassandra's read and write paths
- The role that horizontal scaling plays
- How data is stored on-disk
- How Cassandra handles failure scenarios
This chapter will help you to build a good foundation of understanding that will prove very helpful later on. Knowing how Apache Cassandra works under the hood helps for later tasks around operations. Building high-performing, scalable data models is also something that requires an understanding of the architecture, and your architecture can be the difference between an unsuccessful or a successful...
