Designing Scalable and Maintainable Systems
Understanding System Architecture: System architecture defines the structure, components, and interactions of a software system. Good architecture is crucial for long-term success.
System architecture provides a blueprint for development, ensuring consistency and facilitating collaboration among teams.
What is the difference between monolithic and microservices architectures?
Monolithic architecture is a single, unified application. This approach can be simpler to develop initially but becomes increasingly difficult to manage as the system grows.
Microservices break applications into independent, loosely coupled services. Microservices scale better than monoliths but introduce complexity in terms of deployment and coordination.
A load balancer distributes incoming requests across multiple servers
Load balancing enhances availability by distributing traffic across multiple servers, preventing any single server from becoming overwhelmed. It can use various algorithms (round-robin, least connections, weighted).
Essential for horizontal scaling and high availability. Can be hardware or software-based.
Frequently asked questions
What is the purpose of using message queues for asynchronous processing?
Message queues facilitate asynchronous communication between services, improving system responsiveness and decoupling components. Implement proper monitoring, and design for failure.
Why should we consider scalability from the start, but not over-engineer early?
Starting with scalability in mind prevents costly rework later on, but avoid excessive complexity during initial development to maintain agility and focus on core functionality.
What is database sharding?
Database sharding partitions data across multiple databases. Each shard contains a subset of data. Enables horizontal scaling and improved performance for large datasets.
How does sharding improve scalability?
Sharding partitions data across multiple databases, allowing you to distribute the workload and increase storage capacity beyond the limits of a single database server.
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