System Design Cheat Sheet ((full)) «8K 2026»

: Justify decisions, such as sacrificing consistency for higher availability.   Medium  +6 Common Design Patterns & Templates   Modern cheat sheets often include templates for specific real-world applications to help engineers recognize recurring problems:   LockedIn AI  +1 System Type   Key Components/Challenges Recommended Cheat Sheet Solution URL Shortener Collision risk, high read traffic Base62 encoding, LRU caching Messaging App Real-time delivery, message order WebSockets, Kafka message queues News Feed Large-scale data, personalization Hybrid push/pull models, fan-out Video Streaming Large file handling, latency CDNs, Adaptive Bitrate Streaming Popular Resources   Several industry-standard cheat sheets are widely referenced:   ByteByteGo System Design Cheat Sheet : Focuses on high-level availability and throughput solutions. GitHub - System Design Primer : A massive repository of patterns and interview questions. Grokking Modern System Design

System Design Fundamentals

Scalability : The ability of a system to handle increased load and traffic. Availability : The percentage of time a system is operational and accessible to users. Reliability : The ability of a system to perform its required functions under normal operating conditions. Performance : The speed and efficiency of a system in responding to user requests.

System Design Principles

Separation of Concerns (SoC) : Divide the system into smaller, independent components to improve maintainability and scalability. Single Responsibility Principle (SRP) : Each component should have only one responsibility and reason to change. Loose Coupling : Minimize dependencies between components to improve flexibility and scalability. High Cohesion : Components should be designed to work together to achieve a common goal.

System Design Components

Load Balancer : Distributes incoming traffic across multiple servers to improve scalability and availability. Cache : Temporarily stores frequently accessed data to improve performance. Database : Stores and manages data for the system. Application Server : Handles business logic and requests from clients. Content Delivery Network (CDN) : Distributes content across multiple geographic locations to improve performance. system design cheat sheet

System Design Patterns

Microservices Architecture : Breaks down the system into smaller, independent services that communicate with each other. Service-Oriented Architecture (SOA) : Similar to microservices, but with a focus on services that can be reused across multiple systems. Event-Driven Architecture (EDA) : Uses events to trigger actions and decouple components. Request-Response Pattern : A simple pattern for client-server communication.

System Design Considerations

Data Consistency : Ensures that data is consistent across multiple nodes and databases. Data Partitioning : Splits data into smaller chunks to improve performance and scalability. Data Replication : Duplicates data across multiple nodes to improve availability and durability. Security : Protects the system and its data from unauthorized access and malicious attacks.

System Design Evaluation Criteria