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Network Programmability with YANG: The Structure of Network Automation with YANG, NETCONF, RESTCONF, and gNMI, 1st edition
Published by Addison-Wesley Professional (May 10, 2019) © 2019
- Benoit Claise
- Joe Clarke
- Jan Lindblad
VitalSource eTextbook
£35.99
ISBN-13: 9780135180617
Network Programmability with YANG: The Structure of Network Automation with YANG, NETCONF, RESTCONF, and gNMI
Published 2019
- Available for purchase from all major ebook resellers, including InformIT.com
Hardcover
£44.99
ISBN-13: 9780135180396
Network Programmability with YANG: The Structure of Network Automation with YANG, NETCONF, RESTCONF, and gNMI
Published 2019
Details
- A print text
- Free shipping
- Also available for purchase as an ebook from all major ebook resellers, including InformIT.com
Network Programmability with YANG gives you complete and reliable guidance for unlocking the full power of network automation using model-driven APIs and protocols.
Authored by three YANG pioneers, this plain-spoken book guides you through successfully applying software practices based on YANG data models. The authors focus on the network operations layer, emphasizing model-driven APIs, and underlying transports.
This guide can help you dramatically improve value, agility, and manageability throughout your network.
- Discover the value of implementing YANG and Data Model-Driven Management in your network
- Explore the layers and components of a complete working solution
- Build a business case where value increases as your solution grows
- Drill down into transport protocols: NETCONF, RESTCONF, and gNMI/gRPC
- See how telemetry can establish a valuable automated feedback loop
- Find data models you can build on, and evaluate models with similar functionality
- Understand models, metadata, and tools from several viewpoints: architect, operator, module author, and application developer
- Walk through a complete automation journey: business case, service model, service implementation, device integration, and operation
- Leverage the authors’ experience to design successful YANG models and avoid pitfalls
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