Model-Driven Devops | Increasing Agility and Security in Your Physical Network Through Devops

Steven Carter (u. a.)

ISBN 10: 0137644671 / ISBN 13: 9780137644674

Verlag: Pearson Education, 2022

Model-Driven Devops | Increasing Agility and Security in Your Physical Network Through Devops | Steven Carter (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | Pearson Education | EAN 9780137644674 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 120412320

Inhaltsangabe:

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.

Über die Autorin bzw. den Autor:

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.

Bibliografische Details

Titel: Model-Driven Devops | Increasing Agility and...
Verlag: Pearson Education
Erscheinungsdatum: 2022
Einband: Taschenbuch
Zustand: Neu