Book Image

Windows Server 2019 Administration Fundamentals - Second Edition

By : Bekim Dauti
Book Image

Windows Server 2019 Administration Fundamentals - Second Edition

By: Bekim Dauti

Overview of this book

Windows Server 2019 is the server operating system introduced by Microsoft as part of the Windows NT family of operating systems, developed concurrently with Windows 10. This book will not only get you started with Windows Server 2019, but will also help you prepare for the MTA 98-365 exam. With step-by-step instructions and easy-to-understand graphics, you will become well-versed with the roles, features, and functions of Windows Server 2019. Starting with the installation process, upgrades, and basic configuration, you will move on to explore roles and features such as Active Directory, Hyper-V, remote access, storage, and printers. The book then takes you through maintenance and troubleshooting tasks to guide you in efficiently managing Windows Server 2019. In addition, it covers Windows Server 2019 best practices using real-world examples. Complete with questionnaires, and detailed answers at the end of the book, you can test your understanding of the concepts covered in each chapter. By the end of this book, you will be equipped with the knowledge you need to troubleshoot, update, and maintain servers so as to ensure business continuity.
Table of Contents (21 chapters)
Title Page
Dedication
Foreword

What's new in Windows Server 2019?

There is no doubt that Windows Server 2019 is built on the strong foundation of Windows Server 2016, which makes them share common features; nonetheless, it brings numerous innovations too. This section will try to explain some of the new features, among many, introduced in Windows Server 2019.

Understanding the System Insights feature

System Insights is a new feature available in Windows Server 2019, which locally analyzes Windows Server system data by providing an insight into the functionality of servers and helping system administrators to keep everything running smoothly. It uses predictive analytics to analyze past usage trends and predict future resource consumption. All data is collected...