Design Principles for Distributed Systems
The distributed systems design is a collection of basic rules that are aimed at maintaining the systems’ operability, efficiency, and scalability.
- Loose Coupling: Features should communicate with each other through a clearly established interface, that ultimately is flexible.
- High Cohesion: Common tasks should be performed in the same component.
- Redundancy and Replication: having backup copies of data or resources to ensure availability, while replication involves creating multiple copies of data across different nodes for improved performance and fault tolerance.
- Partitioning: Separating workloads and data across various combined components so as to achieve higher scalability.
- Autonomy: Components need to be as separate as much as possible to have autonomous designs.
How to build a Distributed System?
A distributed system is a system where there are separate components (nodes, servers, etc.) that are integrally linked to each other to perform the operations. These systems will be created for the capability to scale, resilience, and fault tolerance. They communicate and also collaborate their operations through networks that enable the processing, storing, and sharing of resources in a decentralized manner.
Important Topics for how to build a Distributed System
- Key Concepts for Distributed Systems
- Design Principles for Distributed Systems
- Architectural Patterns for Distributed Systems
- Communication Protocols for Distributed Systems
- Data Management Strategies for Distributed Systems
- Concurrency and Consistency Control in Distributed Systems
- Scalability and Performance Optimization in Distributed Systems
- Security Considerations for Distributed Systems
- Deployment and Operations in Distributed Systems