The Resilient Network

System-Level Design for High Availability and Correctness
1. Auflage 2027
ISBN: 979-8-8688-3580-3
Verlag: APRESS L.P.

Buch, Englisch, Format (B × H): 155 mm x 235 mm

reframes how modern systems are designed, operated, and evaluated in an era defined by cloud computing, microservices, and global connectivity. Rather than treating outages as rare exceptions, this book embraces failure as an inevitable condition and argues for a shift from traditional notions of reliability toward true systemic resilience—systems that remain correct, available, and secure even under extreme stress.

Drawing on deep experience with high-performance networking platforms and silicon, the book bridges software architecture and physical network design to explain how resilience emerges across layers. It begins with foundational concepts such as failure domains, fault taxonomies, and the CAP theorem, then moves into the mechanics of correctness in distributed systems, including consensus algorithms like Paxos and Raft. Readers explore replication, distributed transactions, and global state management, alongside practical architectures for high availability and fast recovery. Beyond theory, this book integrates observability, chaos engineering, and formal verification with TLA+ to prove system behavior before failures occur. Chapters on security, scalability, cloud-native patterns, and distributed storage show how resilience intersects with performance, governance, and compliance. Forward-looking discussions on AIOps, edge computing, 6G swarm networking, and post-quantum cryptography prepare architects for the next decade of infrastructure challenges, reinforced by forensic analyses of real global outages.

In the end, this book equips architects and senior engineers with enduring principles rather than tool-specific recipes. By combining mathematical rigor with real-world lessons, it provides the mental models and architectural blueprints needed to build autonomous, self-healing systems that are inherently adaptable, correct, and resilient by design.

What you will learn:

• Classify and defend against crash-stop, timing, and Byzantine failures using proven failure models.
• Understand distributed consensus and data replication from both mathematical and systems perspectives.
• Apply chaos engineering safely in production to validate resilience and disaster recovery assumptions.
• Future-proof systems with cloud-native scaling, Zero Trust security, and autonomous AIOps strategies.

Who this book is for:

Software and Systems Architects, Technical Leadership and CTOs, Security, Risk, and Compliance Experts, DevOps Professionals

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Kadam, Aditya Anant

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware

Inhaltsverzeichnis

Chapter 1: Foundations of Resilient System Design.- Chapter 2: Failure Models and Fault Taxonomy.- Chapter 3: Principles of High Availability Architecture.- Chapter 4: Correctness in Distributed Systems.- Chapter 5: Consensus and Coordination Mechanisms.- Chapter 6: Replication and Data Integrity.- Chapter 7: Distributed Transactions and Global State.- Chapter 8: Network Design for Systemic Resilience.- Chapter 9: The Mechanics of Fast Recovery.- Chapter 10: Observability and System Telemetry.- Chapter 11: Chaos Engineering and Fault Injection.- Chapter 12: Security as a Component of Resilience.- Chapter 13: Scalability, Elasticity, and Load.- Chapter 14: Cloud-Native Resilience Patterns.- Chapter 15: Distributed Data Storage Architectures.- Chapter 16: Latency, Performance, and Trade-offs.- Chapter 17: Formal Verification and Testing.- Chapter 18: Disaster Recovery and Business Continuity.-Chapter 19: API Reliability and Interface Contracts.- Chapter 20: Resilience in Edge and IoT Networks.- Chapter 21: AI-Driven Network Reliability.- Chapter 22: Regulatory, Governance, and Ethics.- Chapter 23: Case Studies in System-Level Resilience.- Chapter 24: The Future of Resilient Systems.- Chapter 25: Additional Resources and Glossary.

Über Autor(innen)

Aditya is a Senior Software Engineer at Cisco Systems in the San Francisco Bay Area, with over eight years of experience specializing in high-availability (HA), distributed systems, and network security. He has been a key contributor to the development of mission-critical infrastructure, ranging from legacy enterprise platforms to next-generation flagship products. His portfolio includes deep-level engineering on the Cisco Catalyst 9500X and 9600X series, as well as the Cisco C9350, powered by the groundbreaking Silicon One architecture.

With a master’s degree from UNC Charlotte, Aditya’s expertise lies in the rigorous intersection of hardware-level performance and software-level resilience. He is dedicated to bridging the gap between theoretical distributed systems research and practical, real-world implementation. Beyond his engineering role, he is a technical educator focused on simplifying complex architectural concepts for the global engineering community through structured storytelling and clear, actionable insights.