Designing Scalable, Agentic, and Defensible Systems
Buch, Englisch, 740 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 979-8-8688-2781-5
Verlag: APRESS L.P.
System Design with AI Interview Guide equips you with the insights, skills, and hands-on practice needed to ace even the toughest system design interview questions. This book takes a structured approach to mastering system architecture, blending AI-driven decision-making with modern design principles to help you confidently tackle complex interview scenarios.
Divided into three parts, the book begins by establishing a strong foundation in system design methodology, emphasizing scalability, performance optimization, and AI integration. You'll learn how to analyze design challenges, apply domain-driven strategies, and incorporate AI agents to enhance system intelligence. The second section delves into technical fundamentals, covering data modeling, API design, microservices, high availability, and security. It provides essential strategies for scaling AI workloads, optimizing cloud storage, and building resilient, fault-tolerant systems. The final section brings real-world case studies into focus, showcasing AI-driven solutions for ride-sharing platforms, e-commerce applications, fraud detection, and payment processing. These hands-on examples reinforce key principles, helping you apply your knowledge to real interview questions.
By the end of this book, you'll have a deep understanding of AI-powered system design and the confidence to structure, articulate, and defend your solutions in interviews. Whether you're an aspiring software architect, an experienced developer preparing for top-tier interviews, or a professional looking to sharpen your design expertise, this guide provides the practical insights and hands-on experience needed to succeed.
What you will learn:
- Learn a structured, step-by-step approach to designing scalable, efficient, and AI-powered systems for interviews.
- How to develop the skills to align system design with business objectives, user needs, and domain-specific constraints.
- Explore designing fault-tolerant, distributed systems with AI-enhanced security and performance optimization.
- Understand the future of AI-driven system design, ethical considerations, and best practices for staying competitive in interviews.
Who this book is for:
Software developers and engineers preparing for system design interviews. Software architects seeking a structured approach to designing scalable, resilient applications with AI considerations.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I: System Design Methodology: How to Think Before You Draw.- Chapter 1: The 7-Step System Design Method.- Chapter 2: Understanding the Business Domain: Where Most Systems Go Wrong.- Chapter 3: Customer Journeys: Where Architecture Meets Human Behavior.- Chapter 4: Business Capabilities: What the System Is Responsible For.- Chapter 5: Structuring Architecture with ARCHVIEW.- Part II: System Design Fundamentals.- Chapter 6: AI Architecture Primitives.- Chapter 7: Trust, Safety, and the LLM-SHIELD Lens.- Chapter 8: ROCS: The Control System of Modern Architecture.- Chapter 9: Scale Is the Truth Serum.- Chapter 10: Consistency Is a Trust Contract.- Chapter 11: Latency Is How Broken Architecture Becomes Visible.- Chapter 12: Failure Is a System Behavior, Not an Event.- Chapter 13: Economics Is Architecture.- Part III: Applied Systems: You're Building Commitment Engines, Not Just Systems.- Chapter 14: Ride-Sharing Systems.- Chapter 15: Social Networking Systems.- Chapter 16: E-commerce Systems.- Chapter 17: Messaging Systems.- Chapter 18: Auction Systems.- Chapter 19: Fraud Detection Systems.- Chapter 20: Video Streaming Systems.- Chapter 21: Payment Systems.- Chapter 22: File Storage Systems.- Chapter 23: Search Engine Systems.- Chapter 24: Conclusion - Designing for Uncertainty is the Job Now.
