SKU/Artículo: AMZ-B0GCPXPBPC

The Ultimate Guide to System Design: From Foundations to Advanced Techniques

Format:

Paperback

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.26 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • Master the art of building scalable, high-performance systems with this comprehensive guide from seasoned software engineer Ahmad W Khan. Whether you're preparing for system design interviews at top tech companies or building real-world applications, this book provides the knowledge and insights you need to succeed. What You'll Learn: • Foundational Concepts: Understand the core principles of system design, including scalability, reliability, maintainability, and fault tolerance • Scalability Strategies: Learn both vertical and horizontal scaling techniques, load balancing, and how to handle traffic spikes • Storage Solutions: Explore different database types, caching strategies, and data partitioning techniques • Design Patterns: Master common design patterns and best practices used in production systems • Advanced Topics: Dive deep into data consistency models, event-driven architectures, and microservices patterns • Real-World Case Studies: Study detailed examples of e-commerce platforms, streaming services, and social media platforms • Interview Preparation: Get ready for system design interviews with common questions, frameworks, and problem-solving approaches • Tools and Technologies: Learn about diagramming tools, load testing tools, monitoring solutions, and technology stack recommendations • Cloud and DevOps: Understand cloud infrastructure, cloud-native design patterns, and CI/CD practices • ML and Big Data: Explore how to incorporate machine learning and handle big data processing in your systems Perfect for: - Software engineers preparing for system design interviews - Developers building scalable applications - Technical leads and architects designing system architecture - Computer science students learning system design - Anyone interested in understanding how large-scale systems work About the Author: Ahmad W Khan is a seasoned software engineer with over a decade of experience in the tech industry. With expertise in Backend, DevOps, ML/AI and Blockchain, Ahmad has built and scaled numerous applications, focusing on creating robust and efficient systems. His extensive knowledge spans across backend development, cloud infrastructure, DevOps practices, and machine learning integration. Ahmad has worked with leading tech companies, contributing to high-profile projects that handle millions of users and vast amounts of data. - Expert, Industry veteran insights - Real-world case studies and examples - Scalability patterns and trade-offs - Performance optimization techniques - Interview preparation guide - Cloud architecture strategies
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AR$24.655
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