Verleger: 24
James Freeman
Automation is paramount if you want to run Linux in your enterprise effectively. It helps you minimize costs by reducing manual operations, ensuring compliance across data centers, and accelerating deployments for your cloud infrastructures.Complete with detailed explanations, practical examples, and self-assessment questions, this book will teach you how to manage your Linux estate and leverage Ansible to achieve effective levels of automation. You'll learn important concepts on standard operating environments that lend themselves to automation, and then build on this knowledge by applying Ansible to achieve standardization throughout your Linux environments.By the end of this Linux automation book, you'll be able to build, deploy, and manage an entire estate of Linux servers with higher reliability and lower overheads than ever before.
Bassem Aly
Hands-On Enterprise Automation with Python starts by covering the set up of a Python environment to perform automation tasks, as well as the modules, libraries, and tools you will be using. We’ll explore examples of network automation tasks using simple Python programs and Ansible. Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as user management, database management, and process management. As you progress through this book, you’ll automate several testing services with Python scripts and perform automation tasks on virtual machines and cloud infrastructure with Python. In the concluding chapters, you will cover Python-based offensive security tools and learn how to automate your security tasks.By the end of this book, you will have mastered the skills of automating several system administration tasks with Python.
Cesar Saavedra, Heiko W. Rupp , Jeff...
Eclipse MicroProfile has gained momentum in the industry as a multi-vendor, interoperable, community-driven specification. It is a major disruptor that allows organizations with large investments in enterprise Java to move to microservices without spending a lot on retraining their workforce.This book is based on MicroProfile 2.2, however, it will guide you in running your applications in MicroProfile 3.0. You'll start by understanding why microservices are important in the digital economy and how MicroProfile addresses the need for enterprise Java microservices. You'll learn about the subprojects that make up a MicroProfile, its value proposition to organizations and developers, and its processes and governance. As you advance, the book takes you through the capabilities and code examples of MicroProfile’s subprojects - Config, Fault Tolerance, Health Check, JWT Propagation, Metrics, and OpenTracing. Finally, you’ll be guided in developing a conference application using Eclipse MicroProfile, and explore possible scenarios of what’s next in MicroProfile with Jakarta EE.By the end of this book, you'll have gained a clear understanding of Eclipse MicroProfile and its role in enterprise Java microservices.
Asim Zulfiqar
ESP32 is a versatile microcontroller and a great starting point for anyone venturing into the IoT realm, but its configuration and interfacing of sensors can be challenging for new users. Arduino Integrated Development Environment (IDE) simplifies programming, uploading code, and utilization of ESP32 capabilities, enabling users to incorporate it into their IoT projects with ease. This book will help you learn the essentials of sensing, networking, data processing, and applications with ESP32, laying a strong foundation for further IoT development.Starting with ESP32 and Arduino Ide 2.0 basics, you'll first explore practical implementation examples of interfacing sensors with ESP32. These examples will also teach you how to interface the ESP32 camera and display modules with ESP32. As you progress, you’ll get to grips with IoT network and data protocols, as well as the many options they unlock within IoT applications. The book will also help you leverage your newly acquired knowledge with exciting projects ranging from smart connected devices to data loggers and automation.By the end of this book, you'll confidently navigate ESP32 projects with newfound knowledge and skills, know what IoT protocol to select for your applications, and successfully build and deploy your own IoT projects.
Hands-On Ethical Hacking Tactics. Strategies, tools, and techniques for effective cyber defense
Shane Hartman, Ken Dunham
If you’re an ethical hacker looking to boost your digital defenses and stay up to date with the evolving cybersecurity landscape, then this book is for you. Hands-On Ethical Hacking Tactics is a comprehensive guide that will take you from fundamental to advanced levels of ethical hacking, offering insights into both offensive and defensive techniques. Written by a seasoned professional with 20+ years of experience, this book covers attack tools, methodologies, and procedures, helping you enhance your skills in securing and defending networks.The book starts with foundational concepts such as footprinting, reconnaissance, scanning, enumeration, vulnerability assessment, and threat modeling. Next, you’ll progress to using specific tools and procedures for hacking Windows, Unix, web servers, applications, and databases. The book also gets you up to speed with malware analysis. Throughout the book, you’ll experience a smooth transition from theoretical concepts to hands-on techniques using various platforms. Finally, you’ll explore incident response, threat hunting, social engineering, IoT hacking, and cloud exploitation, which will help you address the complex aspects of ethical hacking.By the end of this book, you’ll have gained the skills you need to navigate the ever-changing world of cybersecurity.
Denis Rothman
Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relationships among variables and their findings are often subtle, surprising, and technically complex.Hands-On Explainable AI (XAI) with Python will see you work with specific hands-on machine learning Python projects that are strategically arranged to enhance your grasp on AI results analysis. You will be building models, interpreting results with visualizations, and integrating XAI reporting tools and different applications.You will build XAI solutions in Python, TensorFlow 2, Google Cloud’s XAI platform, Google Colaboratory, and other frameworks to open up the black box of machine learning models. The book will introduce you to several open-source XAI tools for Python that can be used throughout the machine learning project life cycle.You will learn how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias and ethics issues, and integrate predictions using Python along with supporting the visualization of machine learning models into user explainable interfaces.By the end of this AI book, you will possess an in-depth understanding of the core concepts of XAI.
Suresh Kumar Mukhiya, Usman Ahmed
Exploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain insights into a dataset. This book will help you gain practical knowledge of the main pillars of EDA - data cleaning, data preparation, data exploration, and data visualization.You’ll start by performing EDA using open source datasets and perform simple to advanced analyses to turn data into meaningful insights. You’ll then learn various descriptive statistical techniques to describe the basic characteristics of data and progress to performing EDA on time-series data. As you advance, you’ll learn how to implement EDA techniques for model development and evaluation and build predictive models to visualize results. Using Python for data analysis, you’ll work with real-world datasets, understand data, summarize its characteristics, and visualize it for business intelligence.By the end of this EDA book, you’ll have developed the skills required to carry out a preliminary investigation on any dataset, yield insights into data, present your results with visual aids, and build a model that correctly predicts future outcomes.
Radhika Datar, Harish Garg
Hands-On Exploratory Data Analysis with R will help you build a strong foundation in data analysis and get well-versed with elementary ways to analyze data. You will learn how to understand your data and summarize its characteristics. You'll also study the structure of your data, and you'll explore graphical and numerical techniques using the R language.This book covers the entire exploratory data analysis (EDA) process—data collection, generating statistics, distribution, and invalidating the hypothesis. As you progress through the book, you will set up a data analysis environment with tools such as ggplot2, knitr, and R Markdown, using DOE Scatter Plot and SML2010 for multifactor, optimization, and regression data problems.By the end of this book, you will be able to successfully carry out a preliminary investigation on any dataset, uncover hidden insights, and present your results in a business context.