1. Introduction to Distributed System Design Patterns
Distributed system design patterns are a general set of solutions for dealing with common problems and challenges in distributed systems. It should be noted that each distributed system has its unique problems and challenges, and these design patterns can be used as a general solution to help us better build and manage distributed systems. At the same time, the appropriate design pattern and technology should be selected according to the actual situation to meet different business needs and performance requirements.
2. Common distributed system design patterns
Following are some common distributed system design patterns:
2.1 Partitioning
Divide the data into multiple smaller parts and store them on different nodes. This can improve the scalability and fault tolerance of the system, while also reducing the load pressure on individual nodes.
2.2 Replication
Replicate data to multiple nodes to increase data reliability and availability. This avoids data loss or unavailability due to a single node failure.
2.3 Caching
By storing commonly used data in memory, the number of accesses to the back-end storage system is reduced, thereby improving the throughput and response speed of the system.
2.4 Asynchronous Messaging
Asynchronous message delivery is realized through message queues, etc., thereby reducing the dependence and coupling between systems.
2.5 Throttling
By controlling the number and rate of requests, limiting system load and consumption resources, ensuring system stability and availability.
2.6 Load Balancing
Distribute requests to multiple nodes to balance system load and improve response speed. This can be achieved through software load balancers, hardware load balancers, etc.