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Model-Driven DevOps: Increasing agility and security in your physical network through DevOps, 1st Edition - Pearson

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Model-Driven DevOps: Increasing agility and security in your physical network through DevOps, 1st Edition - Pearson (Paperback, Mike Younkers, Josh Lothian, Steven Carter, Jason King)

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Author

Mike Younkers, Josh Lothian, Steven Carter, Jason King

Highlights

Binding: Paperback
Publisher: Pearson Education
Genre: Textbook
ISBN: 9788119847020
Pages: 192

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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.

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Book Details

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
Number of Pages	192
Net Quantity	1

Contributors

Author Info

Steven Carter has more than 25 years of industry experience working in large universities, government research and development laboratories, and private sector companies. He has been a speaker at several industry conferences and written blogs and articles in technical journals. He has spent time as a system administrator running some of the world’s largest supercomputers and a network engineer building out the world’s first SDN network for the Department of Energy. In addition, Steven has a wide range of experience in networking, including operations, embedded software development, and sales. He has spent the past 5 years working for Red Hat Ansible and Cisco Systems consulting and coding for many of the world’s largest organizations as they modernize and secure their operations by incorporating DevOps. He currently works as a principal DevOps engineer for Cisco Systems creating CI/CD pipelines for deploying cloud applications and network infrastructure in secure and classified environments. He holds a BS in computer engineering, an MS in computer science, an MBA, and a CCIE in routing and switching. Jason King is a solutions architect at Cisco, supporting the public sector community. In his 11 years at Cisco, he has focused on cloud, automation, programmability, and HPC. Prior to joining Cisco, he spent 10 years building and tuning some of the world’s largest HPC clusters at Lawrence Livermore National Laboratory. He holds an MS in computer science and a CCIE in routing and switching. Mike Younkers has 30 years of industry experience working for the U.S. government and private sector companies. He has been an operator, engineer, and architect of global networks, cybersecurity capabilities, and other IT-related systems. Over the years he has held various leadership positions where he has been impacted by industry changes and led multiple teams through various transformations. He is currently a senior director of Systems Engineering on Cisco’s U.S. federal team, where he has the privilege and honor to work alongside some of the brightest and most dedicated people in our industry. He holds a BS in electrical engineering (BSEE), a BS in computer science, and an MS in telecommunications and computers. It is the combination of this education and these years of experience that inspired him to want to be an active participant in this effort. Josh Lothian has worked in system administration and DevOps for more than 20 years. In his career he has supported everything from academic departments to the fastest supercomputer in the world. He has focused on how automation can lessen the burden on staff while increasing efficiency and reliability. In his 6 years at Cisco as a senior cloud engineer and technical leader, he has helped build small, highly collaborative teams that produce big results using DevOps principles. He holds a BS and an MS in computer science.

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