- The Limits of a Single Server
- Separate Business Logic and Data Layer
- Partitioning Data
- A Look at Failures
- Replication: Masking Failures
- Defining the Term "Distributed Systems"
- The Patterns Approach
This chapter is from the book
This chapter is from the book
This chapter is from the book
Defining the Term “Distributed Systems”
We will explore the common solutions to address the challenges posed by these failures. However, before we delve into that, let’s establish a definition for distributed systems based on our observations thus far.
A distributed system is a software architecture that consists of multiple interconnected nodes or servers working together to achieve a common goal. These nodes communicate with each other over a network and coordinate their actions to provide a unified and scalable computing environment.
In a distributed system, the workload is distributed across multiple servers, allowing for parallel processing and improved performance. The system is designed to handle large amounts of data and accommodate a high number of concurrent users. Most importantly, it offers fault tolerance and resilience by replicating data and services across multiple nodes, ensuring that the system remains operational even in the presence of failures or network disruptions.