Techniques for horizontal Scaling
Horizontal scaling, which involves adding more servers or nodes to a system to manage growing traffic, is a key way to attaining scalability.
- Load balancing is a critical strategy for distributing incoming requests across numerous instances, ensuring that the burden is adequately distributed and no one component becomes a bottleneck.
- Caching, both at the application and infrastructure levels, can drastically reduce backend system load by providing frequently accessed data from a fast cache.
- Partitioning or sharding data and computations among different nodes or servers distributes the workload, allowing individual components to scale independently.
- Asynchronous task processing, which is generally assisted by message queues or streaming platforms, helps to isolate request processing from request management, allowing for greater scalability.
- Auto-scaling, in which the system adds or removes resources depending on established metrics or criteria, is a critical technique for dynamic scaling to meet the system’s changing demands.
Guide for Designing Highly Scalable Systems
Scalable systems are crucial for meeting growing demands. Designing them requires careful planning and an understanding of scalability principles. This article offers insights into architectural patterns, operational best practices, real-world examples, and challenges. Whether you’re a developer or IT professional, this article provides you with the knowledge to build systems that can grow with your business needs
Important Topics to Design Highly Scalable Systems
- Importance of Scalability in Systems
- Factors Affecting Scalability
- Design Principles for Scalable Systems
- Architectural Patterns for Scalability:
- Techniques for horizontal Scaling
- Operational Best Practices for Designing Highly Scalable Systems
- Real-world Examples of Highly Scalable Systems
- Challenges in Achieving High Scalability
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