Programmable Networks with C++ (Paperback)
Idioma: inglés
Editorial: Gitforgits, 2026
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 58,94
Cantidad disponible: 1 disponible
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Paperback. These days, networks aren't just racks of switches anymore, they're also AI clusters. A single training job depends on a lossless fabric, a Kubernetes control plane, a cloud VPC, an inference gateway, and a telemetry pipeline that has to notice trouble before anybody files a ticket. Even with something as strong as Python glue, it's not going to hold up at that size. But C++23 doesn't. When you get to the end of this book, you'll have a fully-fledged automation tool at your disposal.The book kicks off with std:: expected, std:: span, ranges, and coroutines applied to real device work, then builds a CMake and vcpkg project with sanitizers, tests, and a containerlab fabric. Then you can drive NETCONF, YANG, and gNMI, provision servers over SSH and Ansible, program OVSDB and VXLAN overlays, automate Suricata and Vectorscan detection, and reach AWS and Azure through one interface. The last couple of chapters show you how to use Kubernetes resources on the server side, attach pods to RDMA devices through Multus and SR-IOV, and validate PFC and ECN across a RoCEv2 fabric. Plus, there'll be token streaming for vLLM replicas, your tooling will be exposed as an MCP server, and the loop will be closed with OpenTelemetry and guarded remediation. Everything's on one Linux laptop.Key LearningsPlan every change so it can be undone, and see it before it runs.Hand back errors as values with std:: expected, so nothing fails quietly overnight.Read packets without copying them, using std:: span, and let sanitizers catch your mistakes.Check five hundred devices at once with coroutines, and never write a callback.Check a change against the device model before you send it anywhere.Roll out to a few devices first, and widen only when they behave.Let your C++ drive Ansible, Suricata, and ovs-ofctl instead of rebuilding them.Apply Kubernetes changes safely, then check from inside the pod that they worked.Send AI requests to the least busy replica, and tune the connection for tokens.Spot trouble with limits, moving averages, and a model that advises but never acts.Table of ContentC++23 for Network AutomationSetting up Automation EnvironmentWriting, Testing, and Validating Automation ScriptsDevice Configuration with NETCONF, YANG and gNMIServer Provisioning and Configuration ManagementSoftware-Defined NetworkingPractical IDS/IPS AutomationCloud Network AutomationKubernetes as AI Cluster Control PlaneRDMA and GPU Fabric AutomationTarget ReadersIf you're a network engineer, systems programmer, or part of an infrastructure team, then this book is for you. You don't need to have any prior experience with SDN, Kubernetes, or machine learning for this book. Just some basics of coding around C++ and fundamentals of networking is sufficient. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
N° de ref. del artículo 9788168869936
- Título
- Programmable Networks with C++ (Paperback)
- Autor
- Anais Sutherland
- Editorial
- Gitforgits
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 8168869931
- ISBN 13
- 9788168869936
These days, networks aren't just racks of switches anymore, they're also AI clusters. A single training job depends on a lossless fabric, a Kubernetes control plane, a cloud VPC, an inference gateway, and a telemetry pipeline that has to notice trouble before anybody files a ticket. Even with something as strong as Python glue, it's not going to hold up at that size. But C++23 doesn't. When you get to the end of this book, you'll have a fully-fledged automation tool at your disposal.
The book kicks off with std::expected, std::span, ranges, and coroutines applied to real device work, then builds a CMake and vcpkg project with sanitizers, tests, and a containerlab fabric. Then you can drive NETCONF, YANG, and gNMI, provision servers over SSH and Ansible, program OVSDB and VXLAN overlays, automate Suricata and Vectorscan detection, and reach AWS and Azure through one interface. The last couple of chapters show you how to use Kubernetes resources on the server side, attach pods to RDMA devices through Multus and SR-IOV, and validate PFC and ECN across a RoCEv2 fabric. Plus, there'll be token streaming for vLLM replicas, your tooling will be exposed as an MCP server, and the loop will be closed with OpenTelemetry and guarded remediation. Everything's on one Linux laptop.
Key Learnings
- Plan every change so it can be undone, and see it before it runs.
- Hand back errors as values with std::expected, so nothing fails quietly overnight.
- Read packets without copying them, using std::span, and let sanitizers catch your mistakes.
- Check five hundred devices at once with coroutines, and never write a callback.
- Check a change against the device model before you send it anywhere.
- Roll out to a few devices first, and widen only when they behave.
- Let your C++ drive Ansible, Suricata, and ovs-ofctl instead of rebuilding them.
- Apply Kubernetes changes safely, then check from inside the pod that they worked.
- Send AI requests to the least busy replica, and tune the connection for tokens.
- Spot trouble with limits, moving averages, and a model that advises but never acts.
Table of Content
- C++23 for Network Automation
- Setting up Automation Environment
- Writing, Testing, and Validating Automation Scripts
- Device Configuration with NETCONF, YANG and gNMI
- Server Provisioning and Configuration Management
- Software-Defined Networking
- Practical IDS/IPS Automation
- Cloud Network Automation
- Kubernetes as AI Cluster Control Plane
- RDMA and GPU Fabric Automation
Target Readers
If you're a network engineer, systems programmer, or part of an infrastructure team, then this book is for you. You don't need to have any prior experience with SDN, Kubernetes, or machine learning for this book. Just some basics of coding around C++ and fundamentals of networking is sufficient.
“Sinopsis” puede pertenecer a otra edición de este título.
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