Model-Driven DevOps : Increasing Agility and Security in Your Physical Network Through DevOps

Develop Network Infrastructure More Rapidly, and Operate It More Effectively Using model-driven DevOps and the Infrastructure as Code (IaC) paradigm, teams can develop and operate network infrastructure more quickly, consistently, and securely--growing agility, getting to market sooner, and delivering more value. Now, two leading practitioners walk you step by step through successfully implementing model-driven DevOps for infrastructure. In this practical guide, they share lessons learned, help you avoid common pitfalls, and illuminate key differences between DevOps for infrastructure and conventional application-based DevOps. You'll learn why network infrastructure operations must change, what needs to change, and how to work together to change it. The authors guide you through creating consistent data models to manage massive numbers of network elements, organizing huge quantities of network data, and applying DevOps to infrastructure repeatably and consistently. Your journey includes a complete, hands-on reference implementation, detailed use cases, many examples based on open source tools, and sample code downloadable at GitHub. \* Normalize and organize network infrastructure data consistently, to gain the same benefits from DevOps as cloud operators do \* Replace legacy command lines with APIs, then leverage and scale them \* Use configuration management, templates, and other tools to program infrastructure without coding \* Safely implement Continuous Integration/Continuous Deployment for infrastructure \* Succeed with key human factors: break down silos, change culture, and address skills gaps Whether you're a network or cybersecurity engineer, architect, manager, or leader, this guide will help you suffuse all your network operations with greater efficiency, security, responsiveness, and resilience. Cover Half Title Title Page Copyright Page Dedication Table of Contents Chapter 1: A Lightbulb Goes Off Enterprise IT as a Source of Risk to the Business Observations of a Train Wreck DevOps Seems Like a Better Way What Is DevOps? Automation Infrastructure as Code CI/CD Apps vs. Infrastructure Harnessing Automation-at-Scale Why Are Enterprise IT Departments Not Adopting DevOps? Human Factors Business Factors Summary Chapter 2: A Better Way The Goal: Business Transformation Constraints-Based IT Business Transformation DevOps in Action Why Model-Driven DevOps? Network Infrastructure Is Different What Is Model-Driven DevOps? What Is a Data Model? Source of Truth DevOps as a Framework DevSecOps: Baked-In Security Summary Chapter 3: Consumable Infrastructure APIs Why API over CLI? Platforms Physical Hardware Provisioning Consolidated Control Point Northbound vs. Southbound APIs API and Feature Normalization Fabricwide Services Scalability Summary Chapter 4: Infrastructure as Code Why Infrastructure as Code? Source of Truth Data Models Common IaC Tools Organization Types of Source of Truth Code Data Flow Summary Chapter 5: Continuous Integration/Continuous Deployment CI/CD Overview Applications vs. Infrastructure CI/CD in Action Source Code Management Core Features Collaboration Features SCM Summary Continuous Integration Tools CI Engines How They Work Sample Workflow Infrastructure Simulation Tools Cisco Modeling Labs Test and Validation Linting Schema/Model Validation Functional Testing Test and Validation Summary Continuous Deployment Continuous Monitoring Summary Chapter 6: Implementation Model-Driven DevOps Reference Implementation The Goal DevOps Roadmap Architecture Network as an Application Consistency Simulation Automation Creating a Source of Truth Moving Data MDD Source of Truth Automation Tooling MDD Data Automation Runner Cisco Network Services Orchestrator Testing Linting Snapshotting the Test Network Data Validation and State Checking Data Validation Pushing Data to the Devices State Checking Restore Continuous Integration Workflow Summary Deployment Scale Starting Workflows Summary Chapter 7: Human Factors Culture and the Need for Change Start with the Why Organization Leadership Role Models Building a Team Break Down the Silos Community New Tools Summary of Organization-Level Changes Individual Programming vs. Automation Version Control Tools Data Formats APIs Templating Linux/UNIX Wait! Where Do I Fit In? Summary Index A B C D E F G H I J K L M N O P Q R S T U V W X Y Z "Using Model-Driven DevOps and the Infrastructure as Code (IaC) paradigm, IT teams can develop and operate infrastructure more quickly, consistently, and securely than ever beforegrowing agility, getting to market sooner, and delivering more business value. Now, four leading practitioners walk you step by step through successfully implementing Model-Driven DevOps. Drawing on deep hands-on experience, they share lessons learned, present solutions to common pitfalls, and illuminate crucial differences between DevOps for infrastructure and the application-based DevOps most books cover. This relentlessly practical guide shows developers and operators how to work together in tailoring its detailed, prescriptive approach to infrastructure, and how to address the human and organizational issues that cause some organizations to fail. You'll learn how to create SDN and IaC data models to manage massive numbers of network elements, organize enormous quantities of network data, and apply DevOps to infrastructure repeatably and consistently. The authors' deep dive into Model Driven DevOps includes use cases and specific examples, supported with sample open source code in their companion code repositories"-- Provided by publisher