Instant Windows Powershell 3.0 Windows Management Instrumentation Starter. Explore new abilities of Powershell 3.0 to interact with Windows Management Instrumentation (WMI) through the use of the new CIM cmdlets and realistic management scenarios

Brenton J.W. Blawat

PowerShell and Windows Management Instrumentation (WMI) provide you with the ability to remotely manage systems. Whether it is viewing available disk space, or starting an executable remotely, PowerShell 3.0 WMI provides limitless options for scripting the management of systems.Instant Windows Powershell 3.0 Windows Management Instrumentation Starter follows industry standard scripting techniques, utilizing new powerful Cmdlets, to manage different aspects of an operating system and provides practical examples for managing your systems.You will learn how to create, verify, and terminate new Cmdlets that were introduced with PowerShell 3.0 and apply this new knowledge to real world management scenarios. It will provide detailed information about the structure of WMI, and the best ways to get, set, and execute items on a system, both locally and remotely. You will also learn how to create, verify, and terminate new CIM sessions using the available Cmdlets. You will also learn how to search CIM classes for available properties and methods, create a new instance of a class, get an existing instance of an existing class, get an associated instance of a class, and remove an instance of a class. Finally, you will learn how to remotely execute code on a system using WMI.Instant Windows Powershell 3.0 Windows Management Instrumentation Starter will provide you with the ability to fully utilize Windows Management Instrumentation through the use of a variety of new Cmdlets introduced with PowerShell 3.0.

Burp Suite Essentials. Discover the secrets of web application pentesting using Burp Suite, the best tool for the job

Akash Mahajan

Learn Ansible. Automate your cloud infrastructure, security configuration, and application deployment with Ansible - Second Edition

Russ McKendrick

Are you tired of manually deploying and managing your infrastructure and looking for ways to streamline your deployments, introduce consistency and collaboration, and save time? If so, then Learn Ansible is for you. Written by a DevOps practitioner and system administrator with 30+ years of experience, this book will teach you how to automate repetitive tasks and effortlessly manage several resources from a single code base.From installing Ansible and writing your first playbook to deploying multi-tier applications across different cloud platforms, this book will take you on an exciting learning journey. By learning the art of defining highly available cloud infrastructure using code, you’ll find it easy to distribute configurations alongside your application. You’ll explore Ansible Galaxy, learn about community-contributed Ansible roles, and discover how to create and share your own roles. Later, the book delves into the capabilities of Ansible AWX and integrating Ansible with your CI/CD pipelines, using Azure DevOps and GitHub Actions. With real-world examples and hands-on tutorials, you’ll build a solid foundation to tackle any automation project.By the end of this book, you'll be able to confidently implement Ansible in your environment and day-to-day workflows, taking your deployments to the next level.

Modern Network Observability. A hands-on approach using open source tools such as Telegraf, Prometheus, and Grafana

David Flores, Christian Adell, Josh VanDeraa, Eric Chou, ...

As modern IT services and software architectures such as microservices rely increasingly on network performance, the relevance of networks has never been greater. Network observability has emerged as a critical evolution of traditional monitoring, providing the deep visibility needed to manage today’s complex, dynamic environments. In Modern Network Observability, authors David Flores, Christian Adell, and Josh VanDeraa share their extensive experience to guide you through building and deploying a flexible observability stack using open-source tools.This book begins by addressing the limitations of monolithic monitoring solutions, showing you how to transform them into a composable, flexible observability stack. Through practical implementations, you’ll learn how to collect, normalize, and analyze network data from diverse sources, build intuitive dashboards, and set up actionable alerts that help you stay ahead of potential issues. Later, you’ll cover advanced topics, such as integrating observability data into your network automation strategy, ensuring your network operations align with business objectives.By the end of this book, you'll be able to proactively manage your network, minimize downtime, and ensure resilient, efficient, and future-proof operations.

Accelerate Deep Learning Workloads with Amazon SageMaker. Train, deploy, and scale deep learning models effectively using Amazon SageMaker

Vadim Dabravolski

Over the past 10 years, deep learning has grown from being an academic research field to seeing wide-scale adoption across multiple industries. Deep learning models demonstrate excellent results on a wide range of practical tasks, underpinning emerging fields such as virtual assistants, autonomous driving, and robotics. In this book, you will learn about the practical aspects of designing, building, and optimizing deep learning workloads on Amazon SageMaker. The book also provides end-to-end implementation examples for popular deep-learning tasks, such as computer vision and natural language processing. You will begin by exploring key Amazon SageMaker capabilities in the context of deep learning. Then, you will explore in detail the theoretical and practical aspects of training and hosting your deep learning models on Amazon SageMaker. You will learn how to train and serve deep learning models using popular open-source frameworks and understand the hardware and software options available for you on Amazon SageMaker. The book also covers various optimizations technique to improve the performance and cost characteristics of your deep learning workloads.By the end of this book, you will be fluent in the software and hardware aspects of running deep learning workloads using Amazon SageMaker.

Entity Framework Core Cookbook. Transactions, stored procedures, query libraries, and more - Second Edition

Ricardo Peres

Entity Framework is a highly recommended Object Relation Mapping tool used to build complex systems. In order to survive in this growing market, the knowledge of a framework that helps provide easy access to databases, that is, Entity Framework has become a necessity. This book will provide .NET developers with this knowledge and guide them through working efficiently with data using Entity Framework Core. You will start off by learning how to efficiently use Entity Framework in practical situations. You will gain a deep understanding of mapping properties and find out how to handle validation in Entity Framework. The book will then explain how to work with transactions and stored procedures along with improving Entity Framework using query libraries. Moving on, you will learn to improve complex query scenarios and implement transaction and concurrency control. You will then be taught to improve and develop Entity Framework in complex business scenarios. With the concluding chapter on performance and scalability, this book will get you ready to use Entity Framework proficiently.

Couchbase Essentials. Harness the power of Couchbase to build flexible and scalable applications

John C Zablocki, John Zablocki

Learning Phalcon PHP. Learn Phalcon interactively and build high-performance web applications

Calin Rada, Ioan C Rada