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Brikman Yevgeniy: Fundamentals of Devops
and Software Delivery

Fundamentals of Devops and Software Delivery

A Hands-On Guide to Deploying and Managing Software in Production

A hands-on toolkit for securing contemporary cloud environments In Cloud Security Fundamentals: Building the Foundations for Secure Cloud Platforms, cybersecurity leader and educator, Jason Edwards, delivers a comprehensive guide to safeguarding data, applications, and infrastructure in the cloud. The author offers a complete walkthrough of cloud security, moving from foundational concepts to advanced, forward-looking practices. The book is filled with practical examples, hands-on guidance, and lessons drawn from real-world cloud security incidents and breaches. It equips readers with the tools and knowledge they need to defend against threats in cloud environments and how to understand coming developments in cloud technology that will impact organizations in all industries. Inside the book: <ul><li>A thorough introduction to cloud-native and advanced security practices for contemporary firms</li> <li> A chapter on relevant cloud security certifications and professional growth advice</li> <li>Practical discussions of foundational concepts in cloud security, including IAM, Zero Trust, and DevSecOps</li> <li> Complete treatments of advanced cloud security themes, like leadership strategies, operational best practices, and techniques for dealing with common and emerging threats</li></ul> Perfect for cloud security professionals, IT managers, and DevOps professionals, Cloud Security Fundamentals will also benefit system administrators, compliance and risk officers, consultants, auditors, and technology students in a variety of fields who require a foundational understanding of cloud security concepts.

Building the Foundations for Secure Cloud Platforms

Cloud Security Fundamentals

This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native architectures that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud.

Practical Designs and Configurations for Scalable AI

The AI Cloud Infrastructure Blueprint

In today's data-driven business world, organizations struggle to extract actionable insights from vast amounts of information. This textbook bridges theory and practice, offering structured approaches to leverage data for enhanced decision-making through machine learning, AI, and optimization modeling-transforming raw data into competitive business intelligence.Decision Making and Analytics: Data-Driven Business Intelligence and Optimization features advanced analytical methodologies paired with real-world implementation studies, creating a progressive learning path from customer behavior analysis through hybrid decision models. By integrating fuzzy logic, neural networks, text mining, and reinforcement learning, it provides a comprehensive toolkit applicable across business scenarios, turning abstract concepts into practical solutions.Serving multiple audiences, this resource bridges the gap between classroom theory and industry practice for students in industrial engineering, business analytics, and management information systems. Practitioners gain applicable methodologies to improve organizational decision-making. At the same time, researchers benefit from cutting-edge approaches across various domains, and policymakers can develop data-informed strategies-addressing the growing demand for professionals who translate data into strategic decisions.The textbook employs open-ended questions that develop analytical reasoning skills without predetermined solutions, better preparing students for real-world complexity. Supporting materials include high-quality figure slides, as well as PowerPoint slides, for qualified adopters, enabling engaging learning environments that effectively communicate complex concepts while building practical, data-driven decision-making skills.

Data-Driven Business Intelligence and Optimization

Decision-Making and Analytics

Tech Today

An A-to-Z guide to securing your Amazon Web Services® environment In Securing the AWS® Cloud: A Guide for Learning to Secure AWS Infrastructure, veteran infrastructure security expert Brandon Carroll delivers a practical, hands-on resource designed to equip you with the foundational security knowledge you need to secure your Amazon Web Services (AWS) environment. From basic online security principles to advanced AWS cloud security techniques, this book explains everything you need to know to make a new or existing AWS deployment as secure and private as possible. Beginning with fundamental concepts of cybersecurity, the author gradually progresses to more sophisticated AWS-specific security practices. His approach is designed to allow you to build on your existing knowledge and effectively apply it to the AWS cloud. You'll explore common challenges - and solutions to those challenges - with clear, straightforward guidance. From identity and access management to infrastructure protection, threat detection and management, data security and cryptography, and resilience and recovery strategies, this book covers every relevant aspect of securing an AWS cloud deployment. Perfect for practicing and aspiring information technology professionals and system administrators, Securing the AWS® Cloud is suitable for anyone who aims to improve their ability to deploy secure AWS solutions, consistently and efficiently.

A Guide for Learning to Secure AWS Infrastructure

Securing the AWS Cloud

You've seen what Python can do. Now go deeper. This workbook transforms Al Sweigart’s best-selling guide from a reading experience into a coding experience. Following Automate the Boring Stuff with Python chapter by chapter, this workbook will help you turn concepts into muscle memory through carefully designed exercises, projects, and real Python scripts. Every concept from Automate is reinforced through carefully sequenced questions, exercises, and projects that help you think like a programmer and prove to yourself that you really get it. At the end of each chapter, you’ll tackle miniprojects that bring everything together. Whether you’re renaming files, scraping websites, converting text to speech, modifying spreadsheets, or sending emails, you’ll build scripts that do real work. Fun projects like image generators and word games are in the mix too, not just boring stuff. Every question and project come with a solution at the back of the book, so you’re never stuck. Inside, you’ll find: <ul><li> Fill-in-the-blank and short-answer questions that reinforce key concepts</li><li>Targeted exercises to build fluency with variables, loops, functions, regular expressions, and more</li><li>Real Python scripts to run, tweak, and debug</li><li>Projects that automate common tasks like organizing files, backing up data, and scheduling programs</li><li>Full working code for every project so you can check your work and learn by example</li></ul> With over 500,000 copies sold worldwide, Automate the Boring Stuff with Python has become the go-to guide for learning Python. This workbook gives you the structure, feedback, and smart reinforcement to go from reading code to writing it with confidence.

You've seen what Python can do. Now go deeper. This workbook transforms Al Sweigart’s best-selling guide from a reading experience into a coding experience. Following Automate the Boring Stuff with Python chapter by chapter, this workbook will help you turn concepts into muscle memory through carefully designed exercises, projects, and real Python scripts. Every concept from Automate is reinforced through carefully sequenced questions, exercises, and projects that help you think like a programmer and prove to yourself that you really get it. At the end of each chapter, you’ll tackle miniprojects that bring everything together. Whether you’re renaming files, scraping websites, converting text to speech, modifying spreadsheets, or sending emails, you’ll build scripts that do real work. Fun projects like image generators and word games are in the mix too, not just boring stuff. Every question and project come with a solution at the back of the book, so you’re never stuck. Inside, you’ll find: <ul><li> Fill-in-the-blank and short-answer questions that reinforce key concepts</li><li>Targeted exercises to build fluency with variables, loops, functions, regular expressions, and more</li><li>Real Python scripts to run, tweak, and debug</li><li>Projects that automate common tasks like organizing files, backing up data, and scheduling programs</li><li>Full working code for every project so you can check your work and learn by example</li></ul> With over 500,000 copies sold worldwide, Automate the Boring Stuff with Python has become the go-to guide for learning Python. This workbook gives you the structure, feedback, and smart reinforcement to go from reading code to writing it with confidence.

Projects and Exercises to Sharpen Your Python Skills

Automate the Boring Stuff with Python Workbook

Navigating the complexities of large-scale spatial data can be daunting. In order to unleash the power of massive and complex datasets, you'll need a cutting-edge tool like Apache Sedona. This innovative distributed computing system, designed specifically for spatial data, has diverse applications in fields such as mobility, telematics, agriculture, climate science, and more. This book serves as your guide to leveraging this tool, along with other technologies, to unlock the potential of geospatial analytics. Authors Paweł Tokaj, Jia Yu, and Mo Sarwat provide practical solutions to the challenges of working with geospatial data at scale. Ideal for developers, data scientists, engineers, and analysts, this guide uses real-world examples to help you integrate Python data ecosystems, apply machine learning, build geospatial data lakehouses, and handle modern geospatial data formats like GeoParquet. <ul><li>Understand how Apache Sedona helps data practitioners address challenges with geospatial data</li> <li>Learn how to run Apache Sedona, both locally and in cloud environments</li> <li>Efficiently load, query, and analyze geospatial datasets using spatial SQL</li> <li>Employ machine learning techniques to derive strategy-defining insights from spatial data</li> <li>Manage and optimize large-scale geospatial data within a data lakehouse architecture</li></ul>

A Hands-On Guide For Working With Large-Scale Spatial Data

Cloud Native Geospatial Analytics with Apache Sedona

An introduction to applying systems thinking in complex organizational contexts. Systems Thinking for Business and Management introduces postgraduate and MBA students to systems thinking as a practical and analytical approach for understanding and addressing complex business challenges. Written by Agnessa Spanellis, Umit S Bititci and Melissa Marques-McEwan, this textbook blends theoretical foundations with applied insight to help students think holistically about organizations and their environments. Structured in four parts, this book explores the fundamentals of systems thinking, models and methods for hard and soft systems, the dynamics of complexity and change, and forward-looking approaches to future systems. This fully updated edition includes new chapters on boundary setting and gamification, alongside expanded global real-world examples that demonstrate how systems thinking can be used to analyse organizations and design effective, sustainable solutions. This textbook includes: - Clear explanations of core systems thinking concepts and boundaries - Coverage of modelling and analysis methods for hard and soft systems - Insight into systems complexity and organizational change - Reflective and team-based exercises supported by global real-world examples &gt;Systems Thinking for Business and Management equips postgraduate students with the tools and mindset to address complexity and design more effective organizational solutions.

Principles and Practice

Systems Thinking for Business and Management

The accelerating global demand for sustainable solutions has catalyzed the integration of emerging technologies with sustainability-driven innovations. This book explores the intersection of technology, engineering, and environmental responsibility through six critical themes: Artificial Intelligence and Machine Learning for Sustainability, Cloud Computing Technologies, Sustainable Energy Technologies, Sustainable Materials and the Built Environment, Sustainable Actions, and Innovative Engineering and Technology.Artificial intelligence and machine learning play a pivotal role in optimizing resource management and enabling low-carbon decision-making, while cloud computing technologies provide scalable platforms for collaboration and innovation. Sustainable energy technologies such as solar, wind, and bioenergy are examined as vital pathways toward clean power generation. The discussion extends to sustainable materials and the built environment, emphasizing eco-friendly design and circular economy principles. The book also highlights sustainable actions driven by policy, behavioral change, and community engagement. Together, these domains represent a multidisciplinary pathway toward achieving global sustainability goals, fostering a balance between technological advancement and ecological preservation.This book is a key resource for leaders, academia, policymakers, professionals, and researchers to advance sustainable development through science, technology, and engineering. It provides valuable insights for integrating AI, renewable energy, and sustainable engineering into practical applications for a greener future.

Emerging Frontiers in Sustainable Energy, Smart Systems, and Green Technology

On today's web, performance isn't just a nice-to-have--it's essential. A slow or unstable experience drives users away, while a fast, reliable one builds trust and keeps them engaged. Web Performance Engineering in the Age of AI is a comprehensive, hands-on guide for developers, technical leads, and performance engineers focused on delivering high-impact, user-first web experiences. Written by Addy Osmani, director at Google Cloud AI, this book combines deep technical insight with a strong emphasis on usability and real-world effectiveness. Through case studies, modern optimization techniques, and a user-centered approach, you'll learn how to identify bottlenecks, debug performance issues, and apply improvements that make a measurable difference. Grounded in current browser internals and performance metrics, this book prepares you to design and maintain faster, more resilient websites at scale. <ul> <li>Understand how users perceive speed--and why it matters</li> <li>Evaluate and improve performance using key metrics</li> <li>Optimize for stability, responsiveness, and load time</li> <li>Identify and address the most common performance bottlenecks</li> <li>Apply real-world strategies that lead to lasting results</li> </ul>

Mastering Speed and Quality for Ai-Generated Applications

Web Performance Engineering in the Age of AI

An informative text for understanding and applying design thinking across strategic organizations. Design Thinking for Business and Management examines how design thinking can be used as a strategic capability to drive innovation, problem solving and organizational transformation. Written by Mersha Aftab, this textbook is designed for final-year undergraduate and postgraduate students studying design thinking and design management. Focusing on human-centred approaches, the book explores how design principles and strategies support creativity, adaptability and competitive advantage in complex business environments. It addresses the role of digital and technological advancements in transformation, alongside ethical, social and sustainable considerations that shape responsible design-led decision making. Practical insight is reinforced through real-world examples from organizations including Nike, Tesla, Netflix, Zappos and 3M. This textbook includes: - Design strategies and principles for structured problem solving - Coverage of digital and technological change in design-led transformation - Ethical, social and sustainable perspectives on design thinking - Human-centred approaches to innovation and organizational success &gt;Whether studying design management or preparing to apply design thinking in business practice, Design Thinking for Business and Management equips students with the mindset and tools to foster innovation and deliver meaningful organizational outcomes.

Strategies, Principles and Practice for Innovation

Design Thinking for Business and Management

Fundamentals of Devops and Software Delivery

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