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Pattisapu S: The Business Architect

The Business Architect

Modern Companies with Technology, AI and Intelligent Systems

Your company can't grow past you until it can run without you - even for two weeks. Here's the systems master plan that makes that possible.

Every founder starts as the business's most valuable asset: the person who sells, delivers, fixes, and decides everything because, in the beginning, there's genuinely nobody else. That arrangement is correct in year one and becomes the single biggest constraint on growth by year three, when the company still can't function for a single week without the founder's direct, personal involvement in nearly every meaningful decision.

Beyond the Founder is a practical, no-nonsense systems master plan for founders who are ready to stop being the bottleneck. It walks through a structured diagnostic for identifying exactly where your company still depends on you, a sequencing framework for deciding what to fix first, and a concrete method for documenting the business, redesigning roles, hiring right, delegating in a way that actually sticks, and building the visibility systems that let you step back without losing control.

What's inside:

- A structured diagnostic for mapping every decision that still runs exclusively through you, using a decision log and a real "disappearance test"
- A sequencing framework for building your own systems master plan, prioritized by frequency, cost, and readiness
- A practical approach to documenting SOPs and playbooks that people actually use, without a multi-week documentation marathon
- A method for designing your org chart around the company you're building next, not the one you have today
- A four-rung delegation ladder that takes responsibilities from task to genuine ownership without the usual failed handoffs
- Guidance for building a real second-in-command relationship and a leadership layer that can carry real decisions
- Meeting rhythms, reporting structures, and a lean metrics dashboard that give you visibility without requiring your presence in every conversation
- A concrete twelve-month roadmap for sequencing this entire transition, phase by phase, from diagnosis to a genuinely exit-ready company

Beyond the Founder

The job title is dying. What comes next will define how we build.
We are witnessing a lineage break as profound as the Industrial Revolution - but this time, it's happening at machine speed. A three-person team now orchestrates the productive capacity that once required 30,000 employees. AI agents don't just assist with work; they are the workforce, executing, learning, and adapting faster than any human organization ever could.
This is not another book about AI tools or incremental efficiency gains. The Machine Core is the definitive blueprint for the new architecture of enterprise. Part field manual, part historical reckoning, it reveals why this technological rupture is different from all others - and gives executives, founders, and architects a first-principles operating system for building in the AI era: the Five Planes, VP-Agents, the Defensibility Stack, the Mothership Architecture, and the New Triumvirate that replaces the org chart.
For executives navigating existential disruption and founders building the next generation of companies, The Machine Core offers both a clear-eyed diagnosis and a buildable design.
The machines will scale the how. This book shows you how to architect it.

The Machine Core

AI-Born

Launching Enterprise Products is your guide to building enterprise platforms from the ground up. If you’ve ever faced the challenge of creating complex products amidst ambiguity and scale, this book delivers a practical playbook drawn from real-world experience. Learn how to define user-centric strategies in dynamic environments, align cross-functional teams without stalling momentum, and make sound decisions—even when data is messy or incomplete.
Packed with actionable frameworks, case studies, and reflective exercises, this guide helps you move from concept to launch under real-world constraints. You'll discover how to architect scalable systems, design for long-term resilience, and lay the foundations for sustainable growth. Whether you're leading a new product initiative or formalizing structure within an existing team, Launching Enterprise Products equips you with the mindset and tools to build products that ship and thrive.
You Will:
<ul>
<li>Learn how to define and evolve enterprise product strategies in uncertain, fast-changing environments.</li>
<li>Understand techniques for aligning stakeholders across engineering, design, sales, and leadership without losing velocity.</li>
<li>Tackle real-world approaches to validating product-market fit within large organizations or regulated industries.</li>
</ul>

Launching Enterprise Products
 is your guide to building enterprise platforms from the ground up. If you’ve ever faced the challenge of creating complex products amidst ambiguity and scale, this book delivers a practical playbook drawn from real-world experience. Learn how to define user-centric strategies in dynamic environments, align cross-functional teams without stalling momentum, and make sound decisions—even when data is messy or incomplete.
 
 Packed with actionable frameworks, case studies, and reflective exercises, this guide helps you move from concept to launch under real-world constraints. You'll discover how to architect scalable systems, design for long-term resilience, and lay the foundations for sustainable growth. Whether you're leading a new product initiative or formalizing structure within an existing team, 
 Launching Enterprise Products
 equips you with the mindset and tools to build products that ship and thrive.
 You Will:<ul><li>Learn how to define and evolve enterprise product strategies in uncertain, fast-changing environments</li><li>Understand techniques for aligning stakeholders across engineering, design, sales, and leadership without losing velocity</li><li>Tackle real-world approaches to validating product-market fit within large organizations or regulated industries</li></ul>This book is for: Product Managers (PM, Senior PM, Staff/Group), Product leaders and Engineering managers&nbsp;

How to Navigate Strategy, Influence, and Delivery in Complex Organizations

Launching Enterprise Products

This book offers a complete yet approachable guide to software-defined vehicles (SDVs), explaining how modern cars are evolving from fixed-function, hardware-centric machines into continuously updatable software, data, and service platforms. It shows what that transformation means for engineers, architects, product leaders, researchers, and educators, beginning with SDV fundamentals and tracing the industry’s shift from legacy ECU-heavy designs to domain, zonal, and centralized architectures.

From there, the book explores the technologies that make SDVs possible: automotive silicon, operating systems and middleware—from AUTOSAR and RTOS to Linux and Android Automotive—in-vehicle networking, V2X communication, cloud and edge platforms, digital twins, CI/CD workflows, OTA update pipelines, and the growing role of AI in perception, analytics, personalization, and fleet-scale learning.

It also examines the disciplines required to make SDVs viable in production, including functional safety, SOTIF, cybersecurity, software update governance, and global regulatory compliance. Beyond engineering, the book shows how telemetry, connected services, subscriptions, data-driven offerings, and platform ecosystems are reshaping the automotive business model and creating new paths to monetization.

Real-world OEM and Tier-1 examples, worked exercises, design checklists, and "Critic’s Notes" ground each topic in practical trade-offs, while the closing chapters map emerging career and skills pathways across engineering, research, and business.

You Will:

Understand the full SDV stack—from E/E architectures and automotive silicon to middleware, networking/V2X, cloud/edge platforms, AI/data pipelines, and OTA update systems



Evaluate the trade-offs behind zonal and centralized architectures, digital-first development, safety-security co-engineering, and compliance with ISO 26262, ISO 21448, ISO/SAE 21434, UNECE WP.29, and ISO 24089



Analyze how SDV platforms create value through connected services, telemetry, digital twins, subscriptions, data-driven business models, and the emerging roles and skills required across engineering, research, and business




This book is for:

Embedded, software, systems, middleware, cloud/DevOps, safety, and cybersecurity engineers; E/E and platform architects; automotive product and program managers; and graduate students, researchers, and educators seeking a system-level view of software-defined vehicles.

This book offers a complete yet approachable guide to software-defined vehicles (SDVs), explaining how modern cars are evolving from fixed-function, hardware-centric machines into continuously updatable software, data, and service platforms. It shows what that transformation means for engineers, architects, product leaders, researchers, and educators, beginning with SDV fundamentals and tracing the industry’s shift from legacy ECU-heavy designs to domain, zonal, and centralized architectures.
 
 From there, the book explores the technologies that make SDVs possible: automotive silicon, operating systems and middleware—from AUTOSAR and RTOS to Linux and Android Automotive—in-vehicle networking, V2X communication, cloud and edge platforms, digital twins, CI/CD workflows, OTA update pipelines, and the growing role of AI in perception, analytics, personalization, and fleet-scale learning.
 
 It also examines the disciplines required to make SDVs viable in production, including functional safety, SOTIF, cybersecurity, software update governance, and global regulatory compliance. Beyond engineering, the book shows how telemetry, connected services, subscriptions, data-driven offerings, and platform ecosystems are reshaping the automotive business model and creating new paths to monetization.
 
 Real-world OEM and Tier-1 examples, worked exercises, design checklists, and “Critic’s Notes” ground each topic in practical trade-offs, while the closing chapters map emerging career and skills pathways across engineering, research, and business.
 You Will:<ul><li>
 Understand the full SDV stack—from E/E architectures and automotive silicon to middleware, networking/V2X, cloud/edge platforms, AI/data pipelines, and OTA update systems
 </li><li>
 Evaluate the trade-offs behind zonal and centralized architectures, digital-first development, safety-security co-engineering, and compliance with ISO 26262, ISO 21448, ISO/SAE 21434, UNECE WP.29, and ISO 24089
 </li><li>Analyze how SDV platforms create value through connected services, telemetry, digital twins, subscriptions, data-driven business models, and the emerging roles and skills required across engineering, research, and business</li></ul>This book is for:Embedded, software, systems, middleware, cloud/DevOps, safety, and cybersecurity engineers; E/E and platform architects; automotive product and program managers; and graduate students, researchers, and educators seeking a system-level view of software-defined vehicles.

From Silicon Architecture to Platform Monetization

Software-Defined Vehicles

A Practical Guide to Multi-Agent Enterprise Frameworks, LLM Ecosystems, and Real-World AI Deployment Strategies

Enterprise Intelligent Agents with LLMs

AI and quantum computing are two disruptive forces about to push financial services and the banking industry over the edge, demanding an unprecedented transformation. They are not fleeting trends but fundamental disruptors that will reshape the core of banking and finance. Authored by a senior Swiss banking technology executive, this practical guide helps board members and senior leaders turn disruption into a disciplined strategic agenda. It offers a rare insider perspective and a roadmap for navigating these seismic shifts. Bridging the gap between technological innovation and practical application, this book equips leaders with the tools to address the challenges and opportunities posed by AI and quantum computing. It features a thorough review of the latest business opportunities and threats associated with these technologies, alongside foresight-based strategic decision frameworks to guide prioritisation. Real-world case studies and an online companion with 125 AI use cases tailored for banks provide actionable insights. It also introduces an original AI Adoption Maturity Model and a Hybrid Enterprise Reference Architecture to ensure safe integration of internal systems with external frontier models. Finally, it provides two detailed multi-year roadmaps, offering a clear path to harness AI's potential and to prepare for a post-quantum future through crypto agility.Rather than offering abstract predictions or generic solutions, this book presents financial-services leaders with the frameworks, choices, and implementation path they need to act with confidence at a moment when waiting is no longer an option.

Evolutions at the Bleeding Edge

How AI and Quantum Computing Will Make or Break the Bank

Viele KI-Initiativen überzeugen im Pilotprojekt, scheitern jedoch auf dem Weg in den produktiven Unternehmenseinsatz. Dieses Buch zeigt, wie Unternehmen künstliche Intelligenz verlässlich, skalierbar und verantwortungsvoll in Geschäftsprozesse, Organisation und IT integrieren und so dauerhaft in Wertschöpfung übersetzen.Im Mittelpunkt steht ein praxisorientierter Bezugsrahmen aus vier Perspektiven: Formen künstlicher Intelligenz, ihre Einbettung in zentrale Unternehmensprozesse, Qualitätsmerkmale unternehmenstauglicher KI sowie eine umsetzbare Referenzarchitektur. Acht durchgängige Kernprozesse aus Beschaffung, Vertrieb, Logistik, Produktion, Personalwesen sowie Finanz- und Rechnungswesen bilden eine zentrale Säule des Bezugsrahmens und verorten den KI-Einsatz entlang wesentlicher betrieblicher Abläufe und Entscheidungen.&nbsp;Zwölf Qualitätsmerkmale geben Orientierung für geschäftliche Ausrichtung, Sicherheit, Zuverlässigkeit, Performance, Integration, Erklärbarkeit, Verantwortung und organisatorische Einsatzbereitschaft.Eine vierschichtige Referenzarchitektur verbindet User Experience, Prozesse, Modelle und Daten mit Plattform- und Kontrollmechanismen. Engineering- und Reifegradmodell unterstützen den Weg vom Einzelprojekt zur institutionalisierten KI-Fähigkeit. Damit entsteht eine gemeinsame Sprache, die technische Möglichkeiten mit organisatorischen Anforderungen und messbarem geschäftlichem Nutzen systematisch verbindet.Das Buch verbindet Unternehmenspraxis, Governance und IT-Architektur und richtet sich an Führungskräfte, Transformationsverantwortliche, Architekten, IT-, Daten- und KI-Verantwortliche, Prozessmanager sowie Studierende, Lehrende und Forschende der Wirtschaftsinformatik und angrenzender Disziplinen.Der AutorDr. Siar Sarferaz
 ist leitender Softwarearchitekt für die Enterprise Resource Planning Lösung SAP S/4HANA im Forschungs- und Entwicklungsbereich der SAP-Zentrale in Walldorf. In dieser Funktion gestaltet er die digitale Transformation mit, indem er die Lösungsarchitektur des Produkts prägt und innovative, skalierbare Konzepte für geschäftskritische Prozesse entwickelt.
 Als leitender Architekt für Künstliche Intelligenz in SAP S/4HANA verantwortet er insbesondere Konzepte zur Integration von KI in betriebswirtschaftliche Geschäftsprozesse. Im Umfeld von ERP-Software hält er mehr als 30 Patente. Siar Sarferaz studierte Informatik und Philosophie und promovierte in Informatik. Seine berufliche Laufbahn begann er als Methodenforscher bei Siemens. Anschließend wechselte er zu SAP, wo er seit mehr als 25 Jahren in unterschiedlichen Rollen tätig ist.

Grundlagen, Prozesse, Merkmale und Architektur

KI in Unternehmen

The book begins by establishing a strong foundation, introducing OIC concepts, integration types, adapters, connections, fault handling, notifications, mappings, JavaScript, XSLT, projects, and monitoring capabilities. It then dives deep into the heart of Oracle ERP Cloud integrations, covering REST, SOAP, FTP, ATP databases, Object Storage, Visual Builder, BI Publisher, UCM Web Center, and ERP Business Events. Readers are guided through detailed, step-by-step demos including FBDI-based integrations, callback patterns, event-driven architectures, advanced REST and SOAP use cases, file-based processing, parallel and data-stitch activities, massive data loads, and delta-based processing between runs.
The final chapters and appendices provide advanced demos, troubleshooting techniques, Postman and SoapUI usage, reusable samples, and best practices, making the book an invaluable reference for both day-to-day delivery work and long-term architecture design. By the end of this book, readers will not only understand how Oracle ERP Cloud integrations work, but will also have the confidence and practical knowledge to design, build, monitor, and optimize robust, scalable, and production-ready integration solutions using Oracle Integration Cloud.
You Will:
<ul>
<li>Design, build, and monitor end-to-end integrations between Oracle ERP Cloud and external systems using Oracle Integration Cloud (OIC)</li>
<li>Implement and troubleshoot real-world integration scenarios using REST, SOAP, FTP, FBDI, ERP Business Events, ATP databases, Object Storage, and Visual Builder</li>
<li>Apply advanced integration patterns including callbacks, event-driven flows, parallel processing, massive data loads, delta processing, fault handling, and production best practices</li>
</ul>
&nbsp;

A Hands-On Guide to Build Enterprise Integrations

Oracle Integration Cookbook for Oracle ERP Cloud

This book tackles the critical convergence of SAP security, governance, and enterprise cybersecurity, dismantling common misconceptions and highlighting dangerous shortcuts. It unfolds across technical access controls and broader organizational dynamics, showing how technologies like SSO, MFA, APIs, and cloud modules truly shape secure SAP implementations.
Drawing on industry-aligned regulatory frameworks such as GDPR, ISO 27001, NIST, and more, the book emphasizes how adding compliance without closing gaps across connected systems—including ERP cores and beyond—can leave enterprises exposed. It spots pitfalls like overprivileged tracing, one-size-fits-all roles, and siloed responsibility, offering tools to bridge accountability between IT and business leadership.
&nbsp;
Through richly detailed case studies and actionable governance models informed by decades of experience, readers are equipped to prevent fraud, strengthen compliance, and embed cybersecurity into SAP environments. Whether you're a security professional, auditor, or business leader, this book delivers practical frameworks to transform SAP operations—ensuring resilient protection while meeting regulatory and ethical standards.
&nbsp;
You Will:
&nbsp;

Gain a clear understanding of how to navigate compliance with SOX, GDPR, NIST, ISO 27001, and other critical frameworks while securing your SAP environment.
Explore how organizational culture, SSO, MFA, API integrations, and cloud modules influence and strengthen real-world SAP security posture.
Learn actionable strategies to bridge the gap between IT and business ownership, avoiding overprivileged roles and enforcing governance across connected systems.

&lt;&nbsp;
&nbsp;

This book tackles the critical convergence of SAP security, governance, and enterprise cybersecurity, dismantling common misconceptions and highlighting dangerous shortcuts. It unfolds across technical access controls and broader organizational dynamics, showing how technologies like SSO, MFA, APIs, and cloud modules truly shape secure SAP implementations.Drawing on industry-aligned regulatory frameworks such as GDPR, ISO 27001, NIST, and more, the book emphasizes how adding compliance without closing gaps across connected systems—including ERP cores and beyond—can leave enterprises exposed. It spots pitfalls like overprivileged tracing, one-size-fits-all roles, and siloed responsibility, offering tools to bridge accountability between IT and business leadership.Through richly detailed case studies and actionable governance models informed by decades of experience, readers are equipped to prevent fraud, strengthen compliance, and embed cybersecurity into SAP environments. Whether you're a security professional, auditor, or business leader, this book delivers practical frameworks to transform SAP operations—ensuring resilient protection while meeting regulatory and ethical standards.&nbsp;You Will:&nbsp;<ul><li>Gain a clear understanding of how to navigate compliance with SOX, GDPR, NIST, ISO 27001, and other critical frameworks while securing your SAP environment.</li><li>Explore how organizational culture, SSO, MFA, API integrations, and cloud modules influence and strengthen real-world SAP security posture.</li><li>Learn actionable strategies to bridge the gap between IT and business ownership, avoiding overprivileged roles and enforcing governance across connected systems.</li></ul>&nbsp;This book is for: SAP Security Architects, Administrators, and GRC Specialists.

From Access Risks to Enterprise Governance

The SAP Security Governance Handbook

Dr Amanyi is a Technical thought leader and Enterprise Architect, partnering with Product owners/ sponsors to develop and deliver a portfolio of technology solutions that fulfill strategic objectives &amp; business needs. Specialties includes Design Planning, Implementation, Orchestrating security solution, Application lifecycle management, Al Governance, Cyber-Security Program, Program Management, Vendor management, Data management, DevOps, Technical Consulting, &amp; Digital Business Transformation with over 20 years experience in consulting space.

THE DOCTRINE OF AI GOVERNANCE

Getting a large language model to load on your own hardware takes an afternoon. Keeping it serving real traffic, at a cost you can predict, is a different job, and it is the one this book covers. It does so by building one system and growing it across all fifteen chapters.
You begin with an 8B model on a single card, the kind you may already own or can rent for well under a dollar an hour. From there the book adds what real traffic needs: a choice of inference engine, a control plane that provisions GPUs and tears them down again, a router and queue that decide what runs next, and cache-aware routing that stops a conversation being re-read from scratch on every turn. Part III moves to models that do not fit on one card, placing a 70B deployment across GPUs chosen for the bandwidth between them as much as for their memory, and buying that capacity from several providers at once.
In the final part you serve a 753-billion-parameter sparse model on eight rented H200s, measure what each session costs as concurrency rises, and find the point where a larger batch stops making sessions cheaper. That result explains how commercial inference providers price what they sell, and when self-hosting is cheaper than their APIs.
Costs come from real rented-GPU runs, and the book says which numbers are measurements and which are predictions. The control plane is open source and written in Go, so you can run every step yourself.
You Will:
<ul>
<li>Build a working inference control plane in Go that provisions GPUs across providers, deploys engines onto them, routes and queues requests, and reports what it is doing.</li>
<li>Learn how inference uses a GPU, covering KV cache growth, quantization formats and what they cost, tensor and expert parallelism, and why a fast interconnect matters more than total memory.</li>
<li>Work out per-session cost from real runs as batch size and context length grow, and find the point where self-hosting stops beating a commercial API.</li>
</ul>
This book is for:
Backend, systems and platform engineers who want to run LLMs on infrastructure they control. Also useful to infrastructure and DevOps engineers building internal AI platforms, and to technical founders with data-residency or cost constraints that rule out third-party APIs. No machine learning background is assumed. Readers should be comfortable with a systems language such as Go or Python, with containers, and with HTTP APIs.

Running a large language model on hardware you control is no longer exotic, but the gap between a model that loads and a service that holds up under load is where most self-hosting efforts stall. This book closes that gap by building the thing, one working system that grows across all fifteen chapters.You begin with an 8B model on a single card, the kind of hardware you can rent for pennies an hour or already own. From there the book adds what real traffic demands: an inference engine chosen on its merits, a control plane that provisions GPUs and tears them down again, a router and queue that decide what runs next, and cache-aware routing that stops a conversation being re-read from scratch on every turn. Part III moves past what one card can hold, placing a 70B deployment across a pool of GPUs selected on the network between them rather than the sum of their memory, and shopping for that capacity across several providers at once.The final part goes to the frontier. You will serve a 753-billion-parameter sparse model on eight rented H200s, then measure what it costs per session as concurrency climbs, and find the point where a larger batch stops making each session cheaper. That result explains how commercial inference providers price what they sell, and it tells you when self-hosting wins and when it does not.Costs are measured rather than estimated throughout. Every figure in the final part is regenerated from a committed data file, and the book says plainly which numbers are measurements and which are predictions. The complete control plane is available as an open-source companion repository, written in Go, so you can run what you read.You Will:<ul><li>Build a working inference control plane in Go that provisions GPUs across providers, deploys engines onto them, routes and queues requests, and reports what it is doing.</li><li>Learn how inference actually consumes a GPU, covering KV cache growth, quantization formats and their real cost, tensor and expert parallelism, and why a fast interconnect matters more than total memory.</li><li>Measure the economics from real runs, working out per-session cost as batch size and context length grow, and identifying the point where self-hosting stops beating a commercial API.</li></ul>This book is for:Backend, systems and platform engineers who want to run LLMs on infrastructure they control. Also useful to infrastructure and DevOps engineers building internal AI platforms, and to technical founders with data-residency or cost constraints that rule out third-party APIs. No machine learning background is assumed. Readers should be comfortable with a systems language such as Go or Python, with containers, and with HTTP APIs.

Building and Operating Production AI Systems from a Single GPU to Multi-Node Frontier Models

Self-Hosted LLM Inference

Design, secure, and operate an enterprise-scale network on Oracle Cloud Infrastructure without first becoming a cloud generalist. The book assumes you already know what a subnet is, that you have configured a route table, and that you have brought up a BGP session at least once. What it
explains is how OCI implements those same ideas, where the OCI construct behaves differently from the equipment you are used to, and what that difference costs you when you get it wrong.
Every chapter is built on the same company. Meridian Logistics is a Rotterdam-based logistics operator that moves from one on-premises data centre to a two-region OCI footprint under PCI-DSS, and you follow that migration from the first Virtual Cloud Network (VCN) through to the final disaster recovery test. Along the way you build hub-and-spoke around a Dynamic Routing Gateway (DRG), connect Rotterdam over Site-to-Site VPN and FastConnect, extend the same DRG to AWS and Azure, run VMware workloads on Oracle Cloud VMware Solution (OCVS) and containers on OKE, and put DNS, load balancing, and a Web Application Firewall (WAF) in front of the customer portal. Every construct is built in the OCI Console, from the OCI CLI, and in Terraform, and every construct is verified before the chapter moves on.
The topology never resets. The same IP scheme and the same four engineers carry from Chapter 1 through to Chapter 27, so what you finish with is one reference architecture you can take into your own tenancy rather than a set of unrelated feature tours. Chapter 20 takes a single customer request and traces it through every plane the book has introduced, including route tables, Security Lists, Network Security Groups, the OCI Firewall, and Zero Trust Packet Routing, and then follows the response back out. Appendix A closes the book with seventy-one reference topologies that you look up by the business problem in the room.
Every chapter includes:
- Architecture explained before any configuration step
- Walkthroughs in the OCI Console, the OCI CLI, and Terraform
- A “Let’s say…” case study taken from the same running company
- A comparison table against the on-premises, AWS, and Azure equivalents
- Verification and troubleshooting steps for everything you build
By the end you will have a complete network design for an enterprise-scale OCI estate, the operational discipline to keep it healthy, and the vocabulary to defend it in a design review.
You Will:
· Build enterprise-grade OCI network architectures in the Console, from the CLI, and in Terraform, and verify each one before you move on
· Connect OCI to your data centre and to other clouds with Site-to-Site VPN, FastConnect, DRG route distributions, and Remote Peering Connections
· Compose Security Lists, Network Security Groups, the OCI Firewall, third-party firewalls, and Zero Trust Packet Routing into one working security posture
· Trace a live packet end to end and measure the network with VCN Flow Logs, OCI Monitoring, and OCI Logging
· Design and rehearse disaster recovery across OCI regions, between on-premises and OCI, and across OCVS and OpenShift
This book is for:
Network engineers, cloud architects, and infrastructure consultants who already understand on-premises networking at CCNA level or above and are now responsible for designing, building, or operating a network inside OCI. No prior cloud experience is assumed.

Design, secure, and operate an enterprise-scale network on Oracle Cloud Infrastructure without first becoming a cloud generalist. The book assumes you already know what a subnet is, that you have configured a route table, and that you have brought up a BGP session at least once. What itexplains is how OCI implements those same ideas, where the OCI construct behaves differently from the equipment you are used to, and what that difference costs you when you get it wrong.Every chapter is built on the same company. Meridian Logistics is a Rotterdam-based logistics operator that moves from one on-premises data centre to a two-region OCI footprint under PCI-DSS, and you follow that migration from the first Virtual Cloud Network (VCN) through to the final disaster recovery test. Along the way you build hub-and-spoke around a Dynamic Routing Gateway (DRG), connect Rotterdam over Site-to-Site VPN and FastConnect, extend the same DRG to AWS and Azure, run VMware workloads on Oracle Cloud VMware Solution (OCVS) and containers on OKE, and put DNS, load balancing, and a Web Application Firewall (WAF) in front of the customer portal. Every construct is built in the OCI Console, from the OCI CLI, and in Terraform, and every construct is verified before the chapter moves on.The topology never resets. The same IP scheme and the same four engineers carry from Chapter 1 through to Chapter 27, so what you finish with is one reference architecture you can take into your own tenancy rather than a set of unrelated feature tours. Chapter 20 takes a single customer request and traces it through every plane the book has introduced, including route tables, Security Lists, Network Security Groups, the OCI Firewall, and Zero Trust Packet Routing, and then follows the response back out. Appendix A closes the book with seventy-one reference topologies that you look up by the business problem in the room.Every chapter includes:- Architecture explained before any configuration step- Walkthroughs in the OCI Console, the OCI CLI, and Terraform- A “Let’s say…” case study taken from the same running company- A comparison table against the on-premises, AWS, and Azure equivalents- Verification and troubleshooting steps for everything you buildBy the end you will have a complete network design for an enterprise-scale OCI estate, the operational discipline to keep it healthy, and the vocabulary to defend it in a design review.You Will:· Build enterprise-grade OCI network architectures in the Console, from the CLI, and in Terraform, and verify each one before you move on· Connect OCI to your data centre and to other clouds with Site-to-Site VPN, FastConnect, DRG route distributions, and Remote Peering Connections· Compose Security Lists, Network Security Groups, the OCI Firewall, third-party firewalls, and Zero Trust Packet Routing into one working security posture· Trace a live packet end to end and measure the network with VCN Flow Logs, OCI Monitoring, and OCI Logging· Design and rehearse disaster recovery across OCI regions, between on-premises and OCI, and across OCVS and OpenShiftThis book is for:Network engineers, cloud architects, and infrastructure consultants who already understand on-premises networking at CCNA level or above and are now responsible for designing, building, or operating a network inside OCI. No prior cloud experience is assumed.

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