Welcome to the System Design for Software Engineers repository! 🌟 This meticulously curated resource is your definitive guide to mastering the craft of designing scalable, resilient, and high-performance software systems. Whether you're a novice or a seasoned engineer, this repository offers a structured, engaging, and comprehensive path to system design excellence. Explore the key areas of learning below and elevate your skills! 🛠️📚
Unravel the essence of system design by diving into the architecture of software systems and the complexities of distributed environments. Understand its critical role in shaping modern software solutions.
Explore high-level system design, encompassing architectural patterns, data flows, scalability, and fault tolerance. Delve into low-level system design, mastering algorithms, data structures, APIs, and code optimization techniques.
Discover why system design is a cornerstone of the software industry, illustrated through compelling real-world examples that demonstrate its impact on building robust systems.
Gain expertise in essential concepts like scalability, fault tolerance, and system architecture to craft systems that deliver exceptional performance and reliability.
Using a hotel room booking system as a case study, master critical attributes:
- Consistency: Strong vs. eventual consistency models ✅📊
- Availability: Ensure uninterrupted operation under diverse conditions 📈🚀
- Partition Tolerance: Seamlessly handle network partitions 🔗🛡️
- Latency & Durability: Optimize response times and data persistence ⏱️💾
- Reliability & Fault Tolerance: Build systems that thrive despite failures 🛡️🔄
- Scalability: Implement vertical and horizontal scaling strategies 📊📡
Deepen your knowledge with foundational theories and specialized data structures:
- CAP and PACELC theorems for navigating distributed system trade-offs ⚖️📚
- Consensus algorithms like Paxos and Raft 🤝🔗
- Byzantine fault tolerance and modern BFT approaches 🛡️⚙️
- Consistent hashing, Bloom filters, Count-Min Sketch, and HyperLogLog for efficient data management 🧮📊
Master the building blocks of distributed systems:
- DNS: Understand querying, scalability, and reliability 🌐🔍
- Load Balancers: Explore algorithms, global/local balancing, and OSI model layers 📊🔄
- Application Gateways: Learn their pivotal role in microservices and cloud-native architectures ☁️🛠️
Navigate the database landscape:
- Compare relational and NoSQL databases, including key-value stores, column-family, and graph-based systems 📚🔑
- Design a scalable key-value store with consistent hashing, replication, and fault tolerance 🛠️📈
- Study real-world systems like DynamoDB, HBase, and Neo4j 🌟📊
Unlock the power of caching:
- Master distributed caching and its distinction from traditional caching ⚙️📡
- Design a distributed cache and evaluate solutions like Redis and Memcached 🛠️🔥
Excel in real-time data processing:
- Design pub/sub systems and distributed queues 📨🔄
- Explore Apache Kafka and Amazon Kinesis for scalable, high-throughput streaming 🌐📈
Build robust and secure system components:
- Design REST and gRPC APIs with industry-leading best practices 🌐🛠️
- Secure APIs with authentication, authorization, and rate limiting 🔐⚙️
- Implement centralized logging, metrics, alerting, and distributed tracing for unparalleled observability 📈🔍
Apply your expertise to design practical, scalable systems:
- URL Shortener: Create a high-performance link-shortening service 🔗⚡
- Proximity Service: Build a location-based recommendation system 📍🗺️
- Twitter-like Service: Architect a real-time social media platform 🐦📡
- Instagram-like Service: Design a photo-sharing application 📸🌟
- Google Docs-like Service: Develop a collaborative document-editing system 📝🤝
- Netflix-like Service: Construct a video streaming platform with CDN integration 🎥📺 Each case study includes functional and non-functional requirements, data models, scale calculations, and detailed high/low-level designs 📚🛠️
Ace system design interviews with confidence:
- Learn strategies for problem decomposition, solution design, and effective communication 🗣️📈
- Master common design patterns and practice real-world scenarios 🧩⚙️
- Access a concise cheat sheet covering data stores, data structures, protocols, and system components 📝🔑
This repository empowers you to:
- Build a deep, actionable understanding of system design principles 📚🚀
- Architect scalable, fault-tolerant, and high-performance systems 🏗️⚡
- Excel in system design interviews with practical, real-world expertise 🎯💼
- Apply distributed systems concepts to solve complex challenges 🌐🛠️
Embark on your journey to system design mastery and transform your engineering career! 🚀✨
This repository is licensed under the MIT License.
Regards,
Muhammad Hashim