Secure and Scalable Networking: Foundations for Enterprise IT
Description:
In today’s enterprise IT landscape, where scale, security, and strategic agility are non-negotiable, Secure and Scalable Networking: Foundations for Enterprise IT offers a graduate-level exploration of the technologies, architectures, and principles that underpin resilient digital infrastructure. Designed for graduate students, IT architects, cybersecurity professionals, and technology enthusiasts, this text serves as both a technical reference and a strategic guide to building and managing modern networks that meet the demands of global operations, virtualization, and hybrid cloud integration. Grounded in foundational networking concepts and layered with advanced topics such as Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Zero Trust Network Access (ZTNA), the book begins by demystifying protocol models, IP addressing, and routing mechanisms. From there, it moves into the complexities of enterprise design, detailing hierarchical network models, VLAN and subnetting strategies, wireless coverage planning, and redundancy frameworks that ensure both uptime and scalability. Security, a persistent thread throughout the text, is treated as a core design element rather than an afterthought. Readers explore the integration of firewalls, IDS/IPS, access control systems, and encrypted tunneling solutions within segmented and multi-tenant architectures. The book also dedicates substantial attention to network monitoring, logging, traffic analysis, and automation, arming readers with the tools to proactively manage performance, detect anomalies, and implement policy-driven configuration through technologies like Python scripting, Ansible, and REST APIs. In its final chapters, the text explores emerging trends and prepares students for future certifications, addressing the strategic implications of 5G, edge computing, artificial intelligence, and intent-based networking. Emphasis is placed on forward-thinking network design, ethical infrastructure governance, and preparing the next generation of technicians to navigate complexity with precision, vision, and resilience.
Key Features:
- Foundational and advanced coverage of networking, from OSI/TCP models to SDN, NFV, and cloud integration.
- Detailed guidance on scalable network design, IP planning, VLANs, routing protocols, and wireless architecture.
- Comprehensive exploration of enterprise-grade security, including ZTNA, NAC, VPNs, firewalls, and segmentation.
- Hands-on focus on network automation, performance monitoring, scripting, and emerging AI-driven optimization.
- Future-focused insights into edge networks, hybrid cloud, 5G, and next-generation network certifications.
Ideal For:
Graduate students in enterprise IT, networking, and cybersecurity programs; junior, mid, or senior network engineers and architects preparing for leadership roles; educators developing advanced curriculum in infrastructure and security; and professionals seeking a strategic, scalable approach to secure digital transformation.
ISBN-13: 979-8-9988425-2-8
Format: E-Book
About Machine-Assisted Learning Decision Management (MADLM):
Our company has fundamentally redefined what an academic textbook should be in an era shaped by artificial intelligence, automation, and constant technological change by transforming traditional textbooks into forward-looking learning platforms that reflect how business, information technology, project management, and cybersecurity are practiced in the real world. Rather than preparing students for outdated roles, our textbooks are intentionally designed for a future in which professionals must work alongside AI to remain competitive, make data-driven decisions, manage complex systems, and address evolving risks. AI-based concepts, tools, and case studies are woven throughout each textbook, challenging students to think critically about innovation, ethics, governance, and accountability while developing practical, job-ready skills. Unlike conventional textbooks still used by many academic institutions that rely on static content and lag behind industry realities, our textbooks emphasize interdisciplinary thinking, adaptability, and continuous learning, ensuring graduates are prepared for modern, AI-augmented workplaces. Written with academic rigor and professional relevance, these elite textbooks go beyond theory to show how knowledge is applied in real organizational contexts, giving students confidence, clarity, and a measurable competitive advantage. By modernizing academic content in this way, our company is leading a new age of education, empowering students not just to earn a degree, but to utilize digital twins in nearly every profession for automation and high productivity, and to thrive in an AI-driven economy where the ability to leverage intelligent technologies defines long-term career success.