High-Level Design of a Distributed Cache
Design the architecture for a highly scalable distributed cache system. Define essential functional and non-functional requirements like high performance, consistency, and availability. Explore critical design choices, including storage hardware, eviction policies, and the roles of cache clients and servers in the high-level System Design.
We'll cover the following...
“
- <a href=”#Requirements" aria-label=“Read more about Requirements” >Requirements
- <a href="#Functional" aria-label=“Read more about Functional” >Functional
- <a href="#Non-functional-requirements" aria-label=“Read more about Non-functional requirements” >Non-functional requirements
- <a href="#API-design" aria-label=“Read more about API design” >API design
- <a href="#Insertion" aria-label=“Read more about Insertion” >Insertion
- <a href="#Retrieval" aria-label=“Read more about Retrieval” >Retrieval
- <a href="#Design-considerations" aria-label=“Read more about Design considerations” >Design considerations
- <a href="#Storage-hardware" aria-label=“Read more about Storage hardware” >Storage hardware
- <a href="#Data-structures" aria-label=“Read more about Data structures” >Data structures
- <a href="#Cache-client" aria-label=“Read more about Cache client” >Cache client
- <a href="#Writing-policy" aria-label=“Read more about Writing policy” >Writing policy
- <a href="#Eviction-policy" aria-label=“Read more about Eviction policy” >Eviction policy
- <a href="#High-level-design" aria-label=“Read more about High-level design” >High-level design
In this lesson, we will design a distributed cache. We will also discuss the trade-offs and design choices involved in developing the solution.
Requirements
Let’s start by defining the requirements.
Functional
The system must support the following operations:
Insert data: Users must be able to add an entry to the cache.
Retrieve data: Users must be able to retrieve data associated with a specific key.
Non-functional requirements
We must meet the following non-functional requirements:
High performance: The primary goal is fast data retrieval. Both
insertandretrieveoperations must be low-latency.Scalability: The system should scale horizontally to handle increasing request loads without ...