Cracking System Design ebook

Cracking System Design is a comprehensive guide to building scalable and reliable systems. This book covers the fundamentals of system design and provides practical advice on how to build systems that can handle large amounts of data, traffic, and user activity. Whether you're a developer, architect, or manager, this book will provide you with the knowledge and skills needed to create systems that are not only scalable but also reliable, fault-tolerant, and secure. Below are main sections in this books

• Understanding Scalability, Reliability, and Fault Tolerance
• Data Storage and Retrieval: will discuss the different types of data storage solutions available, including relational databases, NoSQL databases, and cloud storage options and also explore how to optimize your data storage strategy for maximum performance and reliability
• Microservices Architecture: In this section, we will explore the principles of microservices architecture, including service-oriented design, containerization, and orchestration. We'll also discuss how to implement microservices in your organization, as well as common challenges and pitfalls to avoid.
• API Design and Integration: In this section, we will discuss the basics of API design, including RESTful architecture, message queuing, and rate limiting. We'll also explore best practices for API integration, including how to handle authentication and authorization, as well as strategies for testing and monitoring APIs.
• Security in System Design: In this section, we will discuss the key security considerations for system design, including data encryption, authentication and authorization, as well as strategies for detecting and responding to security threats.
• Performance Optimization: In this section, we will explore strategies for optimizing performance, including caching, content delivery networks (CDNs), and load balancing. We'll also discuss how to monitor and measure performance, as well as common pitfalls to avoid when optimizing performance.
• Scalable Infrastructure: In this section, we will explore the different types of infrastructure options available, including cloud computing, containerization, and distributed computing. We'll also discuss best practices for designing a scalable infrastructure, including how to plan for growth, optimize resource utilization, and ensure high availability and fault tolerance.
• Monitoring and Logging: In this section, we will discuss the different types of monitoring and logging tools available, including log aggregation, metric visualization, and alarming systems. We'll also explore best practices for implementing monitoring and logging, including how to create a monitoring strategy, as well as common pitfalls to avoid when designing a monitoring and logging system.
• Case Studies: To provide concrete examples of system design we will include several case studies that have been designed with scalability, reliability, and fault tolerance, as well as the lessons learned from these.
• URL Shortening System Design: In this section, we will explore the basics of URL shortening systems, including how they work and why they are important for building scalable and reliable systems.
• Proximity Service System Design: In this, we will explore the basics of proximity service systems, including how they work and how to handle user data privacy.
• Hotel Booking System Design: In this, we will explore the basics of hotel booking systems, including how they work and how to handle availability and pricing data.
• Online Shopping System Design: In this, we will explore the basics of online shopping website systems and discuss best practices for implementing an online shopping website system.
• Cab Booking System Design: In this, we will explore the basics of cab booking systems, including how they work and best practices for implementing a cab booking system