What are the major steps in system design?

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The major steps in system design involve understanding the problem, creating a scalable architecture, and addressing the technical challenges related to performance, reliability, and security. Here’s a step-by-step approach to designing a system:

1. Understand Requirements

Start by gathering both functional (what the system must do) and non-functional (performance, scalability, security) requirements. Key questions to ask include:

  • What are the core features?
  • How many users or requests should the system handle?
  • What are the latency or performance expectations?

2. Define High-Level Architecture

Create a high-level architecture that identifies the main components of the system. This typically includes:

  • Clients: How users will interact with the system (web, mobile).
  • Backend: APIs, databases, and business logic.
  • Data flow: How data moves between components and where it is processed.

3. Choose Data Storage Solutions

Select the appropriate database(s) based on the type of data and performance needs. Consider:

  • Relational Databases (SQL): For structured data and ACID compliance.
  • NoSQL Databases: For large-scale, unstructured, or semi-structured data, often used for high scalability.

4. Design for Scalability

Ensure the system can grow by implementing scalability strategies, including:

  • Horizontal scaling: Add more servers to handle increased load.
  • Sharding: Partition databases to distribute data across different nodes.
  • Caching: Use systems like Redis or Memcached to store frequently accessed data.

5. Ensure Reliability and Availability

Design the system to be reliable and highly available by implementing:

  • Redundancy: Duplication of critical components to handle failures.
  • Load balancing: Distribute traffic across multiple servers.
  • Backup and recovery: Ensure data integrity with regular backups.

6. Incorporate Security

Implement robust security mechanisms such as:

  • Authentication/Authorization: Use OAuth, JWT, or similar protocols.
  • Data Encryption: Secure data at rest and in transit.
  • Firewalls and access controls: Restrict unauthorized access.

7. Plan for Fault Tolerance and Monitoring

A system must gracefully handle failures. This includes:

  • Failover mechanisms: Automatically switch to backup systems if primary systems fail.
  • Monitoring tools: Implement tools like Prometheus or Grafana to monitor system health.

8. Optimize for Performance

Improve performance by minimizing latency and maximizing throughput:

  • Load balancing: Spread traffic across multiple servers.
  • Caching: Store frequently accessed data in memory to reduce database load.

9. Document and Review

Finally, document your system design, outlining key decisions and trade-offs. Have peers review the design to ensure nothing is missed.

For detailed guidance, check out:

These resources offer real-world examples and case studies to help you practice and master system design.

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System Design Interview
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