Computer und IT
Python Bootcamp
Python Bootcamp is a concise guide to becoming proficient in the Python programming language. This book enables you to write and comprehend engaging Python programs quickly.The book is organized into three main parts. Part I: Foundations lays the groundwork for your programming journey. You’ll begin with setting up your programming environment and introducing essential programming concepts. Next, you’ll explore strings, integers, floats, booleans, lists, tuples, and dictionaries, all while learning to create interactive applications. Part II: Building Smart Programs equips you with the tools to enhance your coding skills. You’ll learn to make decisions in your programs and learn how to repeat actions efficiently. You’ll learn more complex structures and learn about Functions and Modules to create reusable code. Further, you will be introduced to error management, and how to read from and write to files. Part III: Introduction to OOP offers a brief overview of object-oriented programming. You’ll explore Classes and Objects and learn about Inheritance, allowing for code reuse and organization.Each chapter is designed to be completed in short time, making this book perfect for readers who feel intimidated by lengthy, complex programming texts yet wish to learn quickly and effectively.What you will learn:* Understand the fundamental features of Python 3* Learn to use Jupyter Notebook with the Anaconda distribution.* Discover tools that can improve your coding skills.* Explore Object-Oriented Programming (OOP) with Python.Who this book is for:Software developers, and software architects. Readers with basic programming knowledge will find it quick and easy to understand.PART I: FOUNDATIONS.- Chapter 1: Getting Ready.- Chapter 2: Variables and Operators.- Chapter 3: Simple Data Types.- PART II: BUILDING SMART PROGRAMS.- Chapter 4: Decision Making.- Chapter 5: Loops.- Chapter 6: Advanced Data Types.- Chapter 7: Functions and Modules.- Chapter 8: Exception Management.- Chapter 9: Programming with Files.- PART III: INTRODUCTION TO OOP.- Chapter 10: Classes and Objects.- Chapter 11: Inheritance.- Appendix A: Supplementary Material.- Appendix B: What's Next?.- Appendix C: Other Books by the Author.
The Art of Site Reliability Engineering (SRE) with Azure
Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures.The new edition of the book has been updated with the latest Azure features for high-availability in storage, networking, and virtual machine computing. It also includes new updates in Azure SQL, Cosmos DB, and Azure Load Testing. Additionally, the integration of agents with Microsoft services has been covered in this revised edition.After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud.WHAT YOU WILL LEARN:* Learn SRE definitions and metrics like SLI/SLO/SLA, Error Budget, toil, MTTR, MTTF, and MTBF* Understand Azure Well-Architected Framework (WAF) and Disaster Recovery scenarios on Azure* Understand resiliency and how to design resilient solutions in Azure for different architecture types and services* Master core DevOps concepts and the difference between SRE and tools like Azure DevOps and GitHub* Utilize Azure observability tools like Azure Monitor, Application Insights, KQL or GrafanaWHO IS THIS BOOK FOR:IT operations administrators, engineers, security team members, as well as developers or DevOps engineers.Chapter 1: The Foundation of Site Reliability Engineering.- Chapter 2: Service-Level Management Definitions and Acronyms.- Chapter 3: Azure Well-Architected Framework (WAF).- Chapter 4: Architecting Resilient Solutions in Azure.- Chapter 5: Automation to Enable SRE with GitHub Actions/Azure DevOps/Azure Automation.- Chapter 6: Monitoring As the Key to Knowledge.- Chapter 7: Efficiently Handle Incident Response and Blameless Postmortems.- Chapter 8: Azure Chaos Studio and Azure Load Testing.- Chapter 9: Agentic solutions for SREs.
Microsoft 365 Excel All-in-One For Dummies
Your essential guide to Excel expertise Almost every job and profession requires digging into an Excel spreadsheet from time to time. You can spend hours of trial and error figuring out how to make Excel work for you, or jump right to the answers you need with the help of this book. This collection of Excel insight walks you through the basics of spreadsheet creation and dives into creating next-level formulas, data visualizations, and analysis. It’s the roadmap to unleashing the Excel guru inside of you! 8 Books Inside… Getting Started with ExcelWriting Formulas and FunctionsGoing Farther with FunctionsAnalyzing DataSummarizing and Visualizing DataReporting and Querying DataCreating Dashboards and ReportsAutomating Excel Get into the nitty gritty of Excel, the all-important spreadsheet tool Microsoft 365 Excel All-in-One For Dummies offers an all-new way to tackle data in Excel. Start with the basics of inputting, formatting, and organizing data and work your way to pro techniques that help with any career field or reason for using the app. Gain the skills to apply advanced formulas and functions, create stunning data visualizations, build dashboards and reports, and automate your spreadsheets. You'll also get a glimpse into how AI tools can boost your work. Eight mini-books come together in this expanded Excel reference. With Microsoft 365 Excel All-in-One For Dummies, you'll soon be the go-to Excel guru in your office or school. Learn the basics of Excel—organizing data, performing calculations, and formatting your spreadsheet.Use functions to handle advanced math and financial analysis.Create data visualizations and summaries to help tell your storyApply basic programming skills using VBA This book is perfect for professionals or students who need to up their Excel game with insight from pros who know the classic spreadsheet app inside and out. This book collects bestselling Excel content from the For Dummies series, including selections from Microsoft 365 Excel For Dummies (David H. Ringstrom), Microsoft Excel Dashboards & Reports (Michael Alexander), Microsoft 365 Excel Formulas & Functions For Dummies (Ken Bluttman), Microsoft Excel Power Pivot & Power Query For Dummies (Michael Alexander), Microsoft Excel Data Analysis For Dummies (Paul McFedries), Excel Macros For Dummies (Dick Kusleika).
IT-Sicherheitsmanagement
Dieses Produkt erscheint Ende Juli 2025.Umfassendes Praxiswissen für IT-Security-ManagerDaten werden in Public Clouds verlagert und dort verarbeitet, auf Mobiltelefonen gespeichert, über Chat-Apps geteilt oder im Rahmen von Industrie 4.0 in einer Größenordnung erfasst, die bislang kaum denkbar war. IT-Security-Manager müssen die entsprechenden Maßnahmen nicht nur an diese Veränderungen anpassen, sondern auch an die EU-Datenschutz-Grundverordnung, das IT-Sicherheitsgesetz, die Anforderungen von Kunden oder das China Cybersecurity Law.Dieser Praxisleitfaden wird Ihnen dabei helfen, sich in der riesigen Menge an Einzelthemen und Aufgaben, mit denen sich IT-Security-Manager auseinandersetzen müssen, zurechtzufinden und den richtigen Weg zu wählen, um mit all diesen Anforderungen umzugehen.Typische Fragestellungen und Antworten für den BerufsalltagJedes Kapitel beschreibt ausführlich jeweils einen Bereich der IT-Security. Die notwendigen theoretischen Grundlagen wechseln sich dabei ab mit Tipps aus der Praxis für die Praxis, mit für den Berufsalltag typischen Fragestellungen, vielen konkreten Beispielen und hilfreichen Checklisten. Alle Teilgebiete werden abschließend in einem Kapitel zusammengeführt, das die Einführung und Weiterentwicklung eines IT-Sicherheitsmanagements auf Basis der ISO-27000-Normen-Familie unter Beachtung der datenschutzrechtlichen Bestimmungen der EU-DSGVO behandelt.Praxisleitfaden und NachschlagewerkSo erhalten Sie sowohl einen kompetenten Praxisleitfaden – auch für den Berufseinstieg – als auch ein umfassendes Nachschlagewerk für Ihre tägliche Arbeit.Aus dem Inhalt: Umfang und Aufgabe des IT-Security-Managements Organisation der IT-Security IT-Compliance Kundenaudits am Beispiel TISAX Verzahnung von Informationssicherheit und Datenschutz Organisation von Richtlinien Betrieb der IT-Security IT Business Continuity Management IT-Notfallmanagement Verfügbarkeitsmanagement Technische IT-Security IT-Risikomanagement Sicherheitsmonitoring IT-Security-Audit Management von Sicherheitsereignissen und IT-Forensik Kennzahlen Praxis: Aufbau eines ISMS Awareness und SchulungÜber den Autor:Thomas W. Harich arbeitet als Leiter der Information Security in einem großen deutschen Industriekonzern. Nebenberuflich ist er als Dozent und IT-Berater tätig. Seine Schwerpunkte liegen in der Erstellung von IT-Sicherheitskonzepten und deren praktischer Umsetzung in einem international geprägten IT-Umfeld.Leseprobe (PDF)
AutoCAD 2026 und AutoCAD LT 2026 für Ingenieure und Architekten
Dieses Grundlagen- und Lehrbuch zeigt Ihnen anhand konkreter Praxisbeispiele aus Architektur, Handwerk und Technik die Möglichkeiten von AutoCAD 2026 und AutoCAD LT 2026 und bietet insbesondere AutoCAD-Neulingen einen gründlichen und praxisnahen Einstieg in CAD. Alle wichtigen Befehle und Funktionen werden detailliert erklärt.ZAHLREICHE ÜBUNGSAUFGABEN UND BONUSMATERIALSie arbeiten von Anfang an mit typischen Konstruktionsaufgaben aus Studium und Praxis. Zu jedem Kapitel finden Sie Übungen und Testfragen mit Lösungen. Alle Konstruktionsbeispiele sowie zusätzliche 3D-Beispiele, Video-Tutorials, Vorlagen, einige Zusatzprogramme in AutoLISP sowie zwei Bonuskapitel zu den Themen 3D-Modellierung und Benutzeranpassungen können von der Webseite des Verlags heruntergeladen werden.FÜR PC UND MACAlle Funktionen werden anhand der PC-Version ausführlich beschrieben. Während die Befehlsabläufe auf beiden Systemen fast identisch sind, werden die Besonderheiten der zentralen Benutzeroberfläche für den Mac in einem Bonuskapitel zum Download vorgestellt.AUS DEM INHALT: Allgemeine Bedienung mit Multifunktionsleisten, Registern und Paletten Schnelleinstieg ins Zeichnen mit Rasterfang Exaktes Zeichnen mit Koordinaten, Objektfang und Spurlinien Zeichnungsorganisation mit Layern und Vorlagen Texte, Schriftfelder und Tabellen, Verbindung zu Excel Bemaßungsbefehle und Bemaßungsstile, Spezialfälle Parametrische Variantenkonstruktionen, dynamische Blöcke Maßstäbliches Plotten, auch bei verschiedenen Einheiten (mm, cm, m) Zahlreiche Übungsfragen mit Antworten Zeichnen mit LINIE, KREIS, BOGEN, Polylinie, Schraffur und weitere Bearbeiten (VERSETZ, STUTZEN, DEHNEN, STRECKEN, Skalieren und weitere), Anordnungen rechteckig, polar oder entlang Pfaden, Griffe, Eigenschaften-Manager Komplexe Objekte: BLOCK (verwalten mit Block-Palette und Editor), Attribute, externe Referenzen Einführung in 3D-Konstruktion und Volumenkörper ZUM DOWNLOAD: 2 Bonuskapitel: 3D-Freiformmodellierung Benutzeranpassungen deutsche Beschreibung der englischen Express Tools Mac-Oberfläche Alle Beispiele und Lösungen Zusätzliche Übungen, 3D-Beispiele und AutoLISP-Zusatzprogramme Video-TutorialsVorlagenDETLEF RIDDER hat bereits zahlreiche Bücher zu AutoCAD, Inventor, Revit und Archicad veröffentlicht und gibt Schulungen zu diesen Programmen und im Bereich CNC.
Prompt Engineering im Geschäftsprozessmanagement
Bei der Optimierung von Geschäftsprozessen spielen Large Language Models (LLMs) wie ChatGPT eine zentrale Rolle. Ziel des Buches ist, eine Brücke zwischen klassischen Prozessmanagement-Methoden und den neuesten Entwicklungen im Bereich Künstlicher Intelligenz zu schlagen. Dabei werden nicht nur theoretische Grundlagen vermittelt, sondern auch praxisnahe Anwendungsfälle vorgestellt. Besonderes Augenmerk liegt auf Strategien zur effizienten Nutzung von LLMs, der Kostenkontrolle und der Vermeidung von Anbieterabhängigkeiten.Von der Prozessidentifikation über die Modellierung bis hin zur kontinuierlichen Optimierung – LLMs eröffnen neue Möglichkeiten in der Dokumentenanalyse, Prozessgestaltung und -überwachung, im Kundenservice oder in ERP-Systemen. Fallstudien und klare Methoden helfen dabei, die richtige KI-Technologie auszuwählen und effizient in bestehende Systeme zu integrieren. Das Buch zeigt mit konkreten Beispielen anschaulich, wie Unternehmen LLMs erfolgreich einsetzen können und welche Herausforderungen bei der Implementierung bestehen. Es liefert verständliche und anwendungsorientierte Inhalte für alle, die Geschäftsprozesse zukunftsfähig gestalten möchten.Grundlagen.- Geschäftsprozessmanagement.- Large Language Models.- Prompt Engineering.- Technische Integration.- LLM-Prozessstrategie.- Trends und strategische Empfehlungen.-Fallstudien aus der Praxis.
Power Query
Schluss mit dem Datenchaos!Lernen Sie, wie Sie Daten aus verschiedenen Quellen zusammenführen, transformieren und analysieren.Mit über 200 Übungsaufgaben und einfachen Schritt-fürSchritt-Anleitungen für den schnellen ErfolgInklusive Übungsdateien zum kostenlosen DownloadMit Power Query können Sie unterschiedliche Datensätze aus verschiedenen Quellen importieren, bereinigen, transformieren, kombinieren und vergleichen, um Daten zu analysieren und Aufgaben zu automatisieren. Durch die Integration in Excel, Power BI und anderen Microsoft-Produkten ergeben sich viele Möglichkeiten für den Einsatz. Mit diesem Buch lernen Sie, wie Sie mit Power Query schnell automatisierte Datenvorbereitungen durchführen, häufig auftretende Probleme lösen, Fallstricke vermeiden u.v.m.Jedes Kapitel widmet sich einer Herausforderung, der Sie sich bei der Datenanalyse stellen müssen. Einfache Schritt-für-Schritt-Anleitungen und praktischen Übungsaufgaben helfen Ihnen dabei, diese zu meistern. Bereiten Sie Daten schnell für die Analyse in Excel und Power BI vor.Lösen Sie mit wenigen Klicks und einfachen Formeländerungen typische Probleme bei der Datenvorbereitung.Kombinieren Sie Daten aus mehreren Quellen und Abfragen und aus Tabellen, die unterschiedlich aufgebaut sind.Meistern Sie einfache und fortgeschrittene Techniken für das Entpivotieren von Tabellen.Passen Sie Transformationen an und erstellen Sie mit der Formelsprache M flexible Daten-Mashups.Gewinnen Sie wichtige Erkenntnisse aus Textfeeds durch Textanalysen.
Microsoft 365 Excel All-in-One For Dummies
GET INTO THE NITTY GRITTY OF EXCEL, THE ALL-IMPORTANT SPREADSHEET TOOLMicrosoft 365 Excel All-in-One For Dummies offers an all-new way to tackle data in Excel. Start with the basics of inputting, formatting, and organizing data and work your way to pro techniques that help with any career field or reason for using the app. Gain the skills to apply advanced formulas and functions, create stunning data visualizations, build dashboards and reports, and automate your spreadsheets. You'll also get a glimpse into how AI tools can boost your work. Eight mini-books come together in this expanded Excel reference. With Microsoft 365 Excel All-in-One For Dummies, you'll soon be the go-to Excel guru in your office or school.* Learn the basics of Excel—organizing data, performing calculations, and formatting your spreadsheet.* Use functions to handle advanced math and financial analysis.* Create data visualizations and summaries to help tell your story* Apply basic programming skills using VBAThis book is perfect for professionals or students who need to up their Excel game with insight from pros who know the classic spreadsheet app inside and out. This book collects bestselling Excel content from the For Dummies series, including selections from Microsoft 365 Excel For Dummies (DAVID H. RINGSTROM), Microsoft Excel Dashboards & Reports (MICHAEL ALEXANDER), Microsoft 365 Excel Formulas & Functions For Dummies (KEN BLUTTMAN), Microsoft Excel Power Pivot & Power Query For Dummies (MICHAEL ALEXANDER), Microsoft Excel Data Analysis For Dummies (PAUL MCFEDRIES), Excel Macros For Dummies (DICK KUSLEIKA).
Low Code und Citizen Development für eine erfolgreiche Digitalisierung
An Ideen für digitalgestützte Innovationen mangelt es in Unternehmen selten. Und doch kommt die Digitalisierung häufig nicht voran: Für disruptive Geschäftsmodelle oder neuartige Geschäftsprozesse sind innovative Ansätze in der Softwareentwicklung erforderlich. Oft stehen Organisationen vor der Herausforderung, mit begrenzten IT-Kapazitäten individuelle Lösungen zügig und ökonomisch zu entwickeln. Der hier vorgestellte Low-Code-Ansatz weist einen Weg aus diesem Dilemma: Er stellt Methoden und Werkzeuge zur Verfügung, die auch Nicht-Informatiker*innen die Entwicklung professioneller Software erlauben.Das Buch bietet einen umfassenden Überblick über Low-Code-Technologien, stellt das für ein Low-Code-getriebenes Citizen Development benötigte Basiswissen bereit und leitet an, wie Citizen Development in Unternehmen etabliert und gesteuert wird. Es zeigt Fach- und Führungskräften neue Wege auf, ungenutztes Potenzial für die digitale Transformation freizusetzen.Vorwort.- Teil I: Verständnis des Low-Code-Paradigmas.- 1. Das Low-Code-Paradigma: Den digitalen Wandel beschleunigen.- 2. Verbreitung von Low-Code-Technologien.- 3. Low-Code vs. No-Code: Unterschiede und Gemeinsamkeiten.- Teil II: Anwendungsentwicklung mit Low-Code.- 4. Grundlagen und Konzepte der Low-Code-Entwicklung.- Teil III: Citizen Development.- 5. Citizen Development: Potenziale und Herausforderungen.- 6. Einführung und Etablierung von Citizen Development.- 7. Citizen Development: Manage and Lead.- 8. Low-Code- und Citizen-Development-Strategien.- Teil IV: Low-Code und Citizen Development – Wegweiser für die digitale Zukunft.- 9. Zukunftsperspektiven für Low-Code und Citizen Development.- 10. Handlungsempfehlungen für Unternehmen.
CompTIA A+ Complete Practice Tests
PREPARE FOR THE UPDATED A+ CERTIFICATION EXAMS WITH HUNDREDS OF ACCURATE PRACTICE QUESTIONS FROM THE EXPERTS AT SYBEXThe fourth edition of the CompTIA A+ Complete Practice Tests: Core 1 Exam 220-1201 and Core 2 Exam 220-1202 offers hundreds of domain-by-domain practice questions specifically designed to give you the knowledge and confidence you need to succeed on both of the newly updated A+ certification exams. When combined with the included access to the Sybex online test bank and additional practice questions, this resource effectively measures and improves your readiness for this highly popular set of certification tests. The questions cover mobile devices, networking, hardware, virtualization and cloud computing, and hardware and network troubleshooting. They also test your knowledge of operating systems, security, software troubleshooting, and operational procedures. INSIDE THIS RESOURCE:* Complimentary access to the proven Sybex online test bank with additional practice questions* Complete coverage of 100% of every subject domain on the Core 1 and Core 2 A+ certification exams (220-1201 and 220-1202)* Accurate updates consistent with the latest version of the examCompTIA A+ Complete Practice Tests, fourth edition, is ideal for anyone preparing for the Core 1 220-1201 and Core 2 220-1202 exams. It will also prove invaluable to IT professionals seeking to hone or upgrade their skillset. ABOUT THE AUTHORAUDREY O’SHEA, A+, ITF+, PROJECT+, NETWORK+, SECURITY+, is a professional electronics and technology educator and consultant. She teaches courses in computer technology, electrical theory and practice for energy workers, general electronics, and other related fields. She is passionate about helping the next generation of students prepare for STEM careers and encouraging other women to enter the exciting world of Information Technology. Introduction XIIIPART I COMPTIA A+ CORE 1 EXAM 220-1201 1Chapter 1 Mobile Devices 3Chapter 2 Networking 21Chapter 3 Hardware 53Chapter 4 Virtualization and Cloud Computing 105Chapter 5 Hardware and Network Troubleshooting 117PART II COMPTIA A+ CORE 2 EXAM 220-1202 157Chapter 6 Operating Systems 159Chapter 7 Security 231Chapter 8 Software Troubleshooting 289Chapter 9 Operational Procedures 313Chapter 10 Practice Exam 1 (220-1201) 349Chapter 11 Practice Exam 2 (220-1202) 371Appendix Answers to the Review Questions 393Chapter 1: Mobile Devices 394Chapter 2: Networking 403Chapter 3: Hardware 425Chapter 4: Virtualization and Cloud Computing 452Chapter 5: Hardware and Network Troubleshooting 459Chapter 6: Operating Systems 483Chapter 7: Security 530Chapter 8: Software Troubleshooting 571Chapter 9: Operational Procedures 587Chapter 10: Practice Exam 1 (220-1201) 610Chapter 11: Practice Exam 2 (220-1202) 625Index 641
CompTIA A+ Complete Review Guide
PREPARE FOR THE NEW A+ CERTIFICATION EXAMS WITH THIS UPDATED COMPANION RESOURCE TO THE COMPTIA A+ COMPLETE STUDY GUIDEIn the sixth edition of CompTIA A+ Complete Review Guide: Core 1 Exam 220-1201 and Core 2 Exam 220-1202, A+ certified tech educator Troy McMillan offers a must-have companion resource to the CompTIA A+ Complete Study Guide. This book includes practical examples and insights drawn from the real-world experience of PC and hardware technicians, as well as A+ certification exam highlights and concise end-of-chapter reviews. This Review Guide gets you up-to-speed on mobile devices, networking, hardware, virtualization and cloud computing, and hardware and network troubleshooting. It also prepares you for the certification exam questions covering operating systems, security, software troubleshooting, and operational procedures. Using the explanations, practice questions (with included answers), and examples, you'll quickly and efficiently prepare for both the Core 1 and Core 2 A+ certification exams. ALSO INSIDE:* Accurate updates to each topic consistent with the latest version of the exams* Additional coverage of each of the objectives tested by the Core 1 and Core 2 A+ exams that expands on the material contained in the CompTIA A+ Complete Study Guide* Complimentary access to the Sybex interactive online learning environment, with practice questions, digital flashcards, and a searchable PDF glossary of key terminologyCompTIA A+ Complete Review Guide, sixth edition, is perfect for everyone preparing for the new A+ Core 1 and Core 2 certification exams (220-1201 and 220-1202). It's also an essential resource for IT professionals who want to upgrade or improve their skills. ABOUT THE AUTHORTROY MCMILLAN holds more than 30 IT certifications, including A+ and Network+. He is a Product Developer and Technical Editor for N2K.com and a full-time trainer, teaching Cisco, Microsoft, CompTIA, and Wireless classes.Introduction xxxiPART I COMPTIA A+ CORE 1 EXAM 220-1201 1Chapter 1 Mobile Devices 3Chapter 2 Networking 45Chapter 3 Hardware 95Chapter 4 Virtualization and Cloud Computing 183Chapter 5 Hardware and Network Troubleshooting 197PART II COMPTIA A+ CORE 2 EXAM 220-1202 241Chapter 6 Operating Systems 243Chapter 7 Security 417Chapter 8 Software Troubleshooting 515Chapter 9 Operational Procedures 545Appendix Answers to the Review Questions 607Index 627
Securing Cloud Containers
A PRACTICAL AND UP-TO-DATE ROADMAP TO SECURING CLOUD CONTAINERS ON AWS, GCP, AND AZURESecuring Cloud Containers: Building and Running Secure Cloud-Native Applications is a hands-on guide that shows you how to secure containerized applications and cloud infrastructure, including Kubernetes. The authors address the most common obstacles and pain points that security professionals, DevOps engineers, and IT architects encounter in the development of cloud applications, including industry standard compliance and adherence to security best practices. The book provides step-by-step instructions on the strategies and tools you can use to develop secure containers, as well as real-world examples of secure cloud-native applications. After an introduction to containers and Kubernetes, you'll explore the architecture of containerized applications, best practices for container security, security automation tools, the use of artificial intelligence in cloud security, and more. INSIDE THE BOOK:* An in-depth discussion of implementing a Zero Trust model in cloud environments* Additional resources, including a glossary of important cloud and container security terms, recommendations for further reading, and lists of useful platform-specific tools (for Azure, Amazon Web Services, and Google Cloud Platform)* An introduction to SecDevOps in cloud-based containers, including tools and frameworks designed for Azure, GCP, and AWS platformsAn invaluable and practical resource for IT system administrators, cloud engineers, cybersecurity and SecDevOps professionals, and related IT and security practitioners, Securing Cloud Containers is an up-to-date and accurate roadmap to cloud container security that explains the “why” and “how” of securing containers on the AWS, GCP, and Azure platforms. SINA MANAVI is the Global Head of Cloud Security and Compliance at DHL IT Services. ABBAS KUDRATI is Asia’s Chief Identity Security Advisor at Silverfort. He is a former Chief Cybersecurity Advisor at Microsoft Asia and a Professor of Practice in Cybersecurity at LaTrobe University, Australia. MUHAMMAD AIZUDDIN ZALI is a principal architect and team manager at DHL ITS for Secure Public Cloud Services - Container & Kafka Platform team. Foreword xxvIntroduction xxviiCHAPTER 1 INTRODUCTION TO CLOUD-BASED CONTAINERS 1Cloud Café Story 1The Story Continues: The Café’s Expansion 2The Cloud Kitchen Model 3Making Cloud Kitchen a Success 3How Containers Changed the Whole Game Plan 3The New Hub of HiTechville 4The Evolution of Cloud Infrastructure 4The Era of Mainframes 4The Rise of Virtualization 4The Emergence of Cloud Services 5The Shift to Containers 5Introduction to Containers in Cloud Computing 6The Role of Containers in Modern Cloud Computing 6Virtual Machines Versus Containers in Cloud Environments 6Benefits of Using Containers in Cloud 7Popular Cloud Container Technologies 8Overview of Cloud-Native Ecosystem for Containers 11Summary 12CHAPTER 2 CLOUD-NATIVE KUBERNETES: AZURE, GCP, AND AWS 13What Is Kubernetes? 15Managed Kubernetes Services 17Microsoft Azure Kubernetes Services 17Google Kubernetes Engine 18Amazon Elastic Kubernetes Service 19Azure-, GCP-, and AWS-Managed Kubernetes Service Assessment Criteria 21Azure, GCP, and AWS Cloud-Native Container Management Services 23Summary 23CHAPTER 3 UNDERSTANDING THE THREATS AGAINST CLOUD-BASED CONTAINERIZED ENVIRONMENTS 25Initial Stage of Threat Modeling 25The MITRE ATT&CK Framework 26Threat Vectors 27Tactic and Techniques in MITRE ATT&CK 27Cloud Threat Modeling Using MITRE ATT&CK 31Cloud Container Threat Modeling 37Foundations of Cloud Container Threat Modeling 37Kubernetes Control Plane: Securing the Orchestration Core 37Worker Nodes: Securing the Execution Environment 38Cluster Networking: Defending the Communication Fabric 39Workloads: Hardening Containers and Application Logic 40IAM: Enforcing Granular Access Across Layers 41Persistent Storage: Securing Data at Rest 42CI/CD Pipeline Security: Defending the DevOps Chain 42Log Monitoring and Visibility: Detecting What Matters 43Resource Abuse and Resiliency: Planning for the Worst 44Resource Abuse: Unauthorized Exploitation of Cloud Resources 44Resiliency and Business Continuity Planning in Kubernetes 46Compliance and Governance 47Summary 48CHAPTER 4 SECURE CLOUD CONTAINER PLATFORM AND CONTAINER RUNTIME 49Introduction to Cloud-Specific OS and Container Security 49Cloud-Specific OS: A Shifting Paradigm How OS Should Work 50Container Security Architecture 51Host OS Hardening for Container Environments 53Leverage Container-Optimized OSs 53Establish and Maintain Secure Configuration Baselines 54Implement Robust Access Controls and Authentication 55Apply Timely Security Updates and Patches 55Implement Host-Based Security Controls 56Container Runtime Hardening 56Minimal Container Images 56Multistage Build 57Drop Unnecessary Capabilities 57Implement Seccomp Profiles 58Resource Controls 59Use Memory and CPU Limits 60Process and File Restrictions 60Logging and Monitoring 61Regular Security Updates 62Network Security 62Implementing Kubernetes Network Policies (netpol) 64Leveraging Service Mesh for Advanced Secure Communication 64Leveraging Cloud Network Security Groups 66Linux Kernel Security Feature for the Container Platform 67Linux Namespaces, Control Groups, and Capabilities 68OS-Specific Security Capabilities (SELinux, AppArmor) 69Security Best Practices in Cloud Container Stack 70Least Privilege (RBAC) and Resource Limitation for Azure, Gcp, Aws 71Scanning and Verifying Images Using Cloud Services 72Compliance and Governance in Cloud Environments 73Meeting Regulatory Compliance (PCI-DSS, HIPAA) for Containerized Workload 73Tools to Help Meet Compliance 76Cloud-Native Security Benchmarks and Certifications 76Future Trends and Emerging Standards in Cloud-Native Security 78AI and Machine Learning Security Standards 79Automated Compliance and Continuous Assessment 79Summary 81CHAPTER 5 SECURE APPLICATION CONTAINER SECURITY IN THE CLOUD 83Securing Containerized Applications in Cloud Container Platforms 83Shared Responsibility Model 84Image Security 84Network Security 85Threat Intelligence for Cloud-Native Containers 87CI/CD Security in Cloud-Based Container Pipelines 90Shifting Left and Managing Privileges in Azure DevOps, Google Cloud Build, and AWS CodePipeline 91Azure DevOps 91Google Cloud Build 92AWS CodePipeline 93Penetration Testing for Cloud-Based Containers 94Supply Chain Risks and Best Practices in the Cloud 95Securing Container Registries in the Cloud (ACR, ECR, GCR) 97Image Signing and Verification in Cloud Platforms 98Role-Based Access Control in Cloud Supply Chains 99Summary 101CHAPTER 6 SECURE MONITORING IN CLOUD-BASED CONTAINERS 103Introduction to Secure Container Monitoring 103Key Monitoring Enablement Business Goals 104Enabling Cost Efficiency 104Supporting Compliance and Audit Readiness 104Enhancing Incident Response 105Ensuring High Availability 106Continuous Risk Identification and Remediation 106Driving Strategic Decision-Making 108Challenges in Monitoring Cloud-Based Containers 108Ephemeral Workloads 108Distributed Architectures 109Data Volume and Noise 109Security Considerations in Container Monitoring 110Observability in Multitenancy 111Integration with Modern DevOps and SecOps Toolchains 111Lack of Standardization 112Advanced Analytics and Predictive Insights 112Comprehensive Monitoring and Security Architecture for Containerized Workloads 112Comprehensive Visibility Across Layers 115Container-Level Monitoring: Runtime Security and Observability 116Kubernetes Control Plane Monitoring: Orchestration Platform Security 118Infrastructure Monitoring: Host and Cloud Environment Security 119Threat Intelligence Integration: Enriched Detection and Proactive Defense 120Automated Detection and Response 120Application Performance Monitoring and Security 121Compliance and Regulatory Adherence 122Proactive Threat Detection: MITRE ATT&CK Operationalization 123Enhancing Modern Capabilities with Advanced Techniques 123Toward a Secure and Resilient Cloud-Native Future 127Summary 127CHAPTER 7 KUBERNETES ORCHESTRATION SECURITY 129Cloud-Specific Kubernetes Architecture Security 130Control Plane Security 130Worker Node Security 131Shared Security Responsibilities 133Securing the Kubernetes API in Azure, GCP, and AWS 134Securing AKS API 134Securing GKE API 135Securing EKS API 135Best Practices for Securing the Kubernetes API 136Audit Logging and Policy Engine in Cloud Platform 137Implementation Strategies 137Policy Engine 138Integration and Operational Considerations 138AKS Policy Implementation 139GKE Policy Controls 139EKS Policy Framework 140Cross-Platform Policy Considerations 140Advanced Policy Patterns 141Audit Logging 141AKS Audit Logging 142GKE Audit Logging 142EKS Audit Logging 143Cross-Platform Audit Logging Strategies 143Advanced Audit Logging Patterns 144Security Policies and Resource Management for Cloud-Based Kubernetes 144Network Policies and Admission Controllers in Cloud 145Azure Policy Implementation 145Google Kubernetes Engine Policy Control 146AWS Network Policy Implementation 147Network Policy Implementation 147Advanced Implementation Strategies 148Summary 148CHAPTER 8 ZERO TRUST MODEL FOR CLOUD CONTAINER SECURITY 149Zero Trust Concept and Core Principles 150Core Principles of Zero Trust Architecture 151Implementing Zero Trust in Cloud-Based Containers 153IAM in Zero Trust 153Network Segmentation and Micro-Segmentation in Cloud Containers 154Network Segmentation 154Micro-Segmentation 155Continuous Monitoring and Risk-Based Access Decisions in Cloud 155End-to-End Encryption and Data Security in Cloud Containers 156Zero Trust in Kubernetes Security 157Enforcing Kubernetes Security Policies with Zero Trust Principles 157Zero Trust for Service Meshes (Istio, Linkerd) in Cloud-Based Kubernetes 158Secure Access to Cloud-Based Kubernetes Control Planes 160The Importance of Secure Access 160Securing with Private Azure Kubernetes Service Cluster 161Implementing Zero Trust for Multicloud Container Environments 163Zero Trust Framework in Multicloud 163Case Study: Applying Zero Trust in Cloud Container Workloads for a Banking Customer 165Summary 166CHAPTER 9 DEVSECOPS IN CLOUD-BASED CONTAINER PLATFORM 169DevOps to DevSecOps in Azure, GCP, and AWS 170Integrating Security into Cloud CI/CD Pipelines 172SAST and Dependency Analysis in Cloud Environments 175Infrastructure as Code Security for Cloud 177Secrets Management in Cloud-Native DevSecOps 178Continuous Monitoring and Alerts in Cloud-Based DevSecOps 180Cloud-Based DevSecOps Tools and Frameworks 183Azure DevOps 183Google Cloud Build 183AWS CodePipeline 184Cross-Platform DevSecOps Frameworks 184Selecting Cloud-Based DevSecOps Tools and Frameworks 185Summary 185CHAPTER 10 APPLICATION MODERNIZATION WITH CLOUD CONTAINERS 187Analyzing Legacy Architectures 188Microservices Transformation in Practice 188Adopting an API-First Strategy 191Containerization and Orchestration 191Cloud Migration and Modernization Approaches 192Implementing Security Development Operation Practices 192Microservices Architecture 195Netflix’s Journey to Microservices 195Security Challenges in Microservices-Based Applications 197Kubernetes and Service Mesh for Microservices 197Implementing Zero Trust Security in Microservices 198Securing APIs in Cloud-Native Microservices 199Securing APIs in Cloud-Native Microservices 199API Security Challenges in Cloud-Native Environments 200API Gateway Solutions in Each Cloud Provider 200Best Practices for API Security and Rate Limiting 201Security Design Principles for Cloud-Native Apps 202The 12-Factor App as a Cloud-Native Development Guiding Principle 203Runtime Protection and CNAPP Integration 204Application Modernization and Resiliency 205Summary 205CHAPTER 11 COMPLIANCE AND GOVERNANCE IN CLOUD-BASED CONTAINERS 207Understanding the Key Compliance and Governance in Containerized Environments 208General Data Protection Regulation (GDPR) 208Health Insurance Portability and Accountability Act (HIPAA) 208Payment Card Industry Data Security Standard (PCI-DSS) 209System and Organization Controls (SOC 2) 209NIST SP 800-190: Application Container Security Guide 209ISO/IEC 27000 Series 210Iso/iec 27001 210Iso/iec 27017 210Iso/iec 27018 211CIS Kubernetes Benchmark (General) 211CIS AKS Benchmark (Azure Kubernetes Service) 211CIS GKE Benchmark (Google Kubernetes Engine) 212CIS EKS Benchmark (Amazon Elastic Kubernetes Service) 212A Comparison of the Key Compliance Standards and Regulations 212How to Achieve Container Compliance and Governance for AKS, GKE, and EKS 214Identity and Access Management (IAM) 214Authentication and Authorization 215Data Encryption (at Rest and in Transit) 216Logging and Monitoring 218Vulnerability Management 219Network Security 220Policy and Governance 221Incident Response 222Data Residency and Privacy 223Supply Chain Security 224Continuous Compliance and Automation 226Container-Specific Best Practices 227Compliance Dashboard 228Summary 228CHAPTER 12 CASE STUDIES AND REAL-WORLD EXAMPLES IN CLOUD CONTAINER SECURITY 231Case Study 1: Netflix’s Adoption of Cloud Containers Security 232Case Study 2: Capital One’s Adoption of Zero Trust Security for Cloud Containers 235Case Study 3: PayPal’s Adoption of Zero Trust Security for Cloud Containers 238Case Study 4: Uber’s Cloud Container Security Implementation 241Summary 245CHAPTER 13 THE FUTURE OF CLOUD-BASED CONTAINER SECURITY 247The Rise of Advanced Container Orchestration 247Zero Trust and Container Security 248Enhanced Runtime Security and AI Integration 249Evolution of Container Image Security 249Container Security as Code 249Shift-Left Security Paradigm 251Serverless Containers and Security Implications 251Compliance and Regulatory Frameworks 252Blockchain and Container Provenance 252Increased Visibility and Observability 253Quantum Computing and Container Security 253Community-Driven Security Standards 253Business Impact of Container Security Failures 254Organizational Maturity and Operating Models for Container Security 254Talent and Skills Gap in Container Security 255Global Regulations and Data Sovereignty Impact 256Integration with Enterprise Security Ecosystem 256Future Predictions: Autonomous Container Security 256Summary 257CHAPTER 14 SECURITY AUTOMATION AND AI IN CLOUD CONTAINER SECURITY 259Threat Landscape in Container Environments 260Foundations of Security Automation in Container Platforms 260Integrating AI and Machine Learning for Proactive Defense 261Security Orchestration, Automation, and Response in Cloud-Based Containers 261Microsoft Azure Kubernetes Service Integration with SOAR 262Google Kubernetes Engine Integration with SOAR 263Amazon Elastic Kubernetes Service Integration with SOAR 263Enhancing Container Threat Intelligence Feeds with Cloud-Based AI 264Azure Kubernetes Service: Proactive Defense with AI-Enhanced Threat Intelligence 265Google Kubernetes Engine: Threat Intelligence Amplified with Chronicle and AI Correlation 265Amazon EKS: Scaling AI-Driven Threat Intelligence in Hyper-Scale Environments 266Challenges and Considerations 267Ensuring Explainability and Trust in AI Decisions 269Addressing the Skills Gap in AI and Automation 269Best Practices and Automation Strategies 270The Road Ahead: Future of AI and Automation in Container Security 272Strategic Roadmap for Decision-Makers 273Summary 274CHAPTER 15 CLOUD CONTAINER PLATFORM RESILIENCY 275High Availability and Fault Tolerance in Cloud Container Platforms 276Disaster Recovery Strategies for Cloud Container Platform 277Core Components of Modern DR Architecture 278Implementation Strategies and Best Practices 278Advanced Topics in Container DR 279Operational Considerations and Maintenance 279Future Planning 280Security and Compliance in DR Strategies 280Resiliency in Multicloud Container Platform Environments 281Architectural Foundations 282Data Management and Persistence 283Platform Operations and Management 283Security and Compliance 283Cost Management and Resource Optimization 284Disaster Recovery and Business Continuity 284Monitoring and Testing Container Resiliency 285Summary 287APPENDIX A GLOSSARY OF CLOUD AND CONTAINER SECURITY TERMS 289APPENDIX B RESOURCES FOR FURTHER READING ON CLOUD-BASED CONTAINERS 299Foundational Concepts and Containerization Basics 299Cloud-Specific Container Services 300Advanced Container Management and Orchestration 301Books and Articles 302Online Courses and Tutorials 302Security Resources 303APPENDIX C CLOUD-SPECIFIC TOOLS AND PLATFORMS FOR CONTAINER SECURITY 305Microsoft Azure Container Security Tools 305Amazon Web Services (AWS) Container Security Tools 306Google Cloud Platform (GCP) Container Security Tools 308Multicloud and Open-Source Container Security Tools 309Index 311
Das ultimative Buch über Point & Click-Adventures
Point & Click-Adventures sind mehr als nostalgisches Rätseln – sie sind interaktive Erzählkunst.Dieses Buch beleuchtet das Genre aus gestalterischer, narrativer und medienkultureller Perspektive. Es verbindet persönliche Anekdoten mit fundierter Analyse, deckt Designprinzipien, historische Entwicklungen und aktuelle Remakes ab. Es zeigt so, wie Adventures Lernprozesse, Kreativität und kollaboratives Denken fördern können. Ein Standardwerk für alle, die sich professionell und / oder leidenschaftlich mit Games im allgemeinen und Point & Click-Adventures im Besonderen beschäftigen – ob in Entwicklung, Forschung, Lehre oder einfach aus Liebe zum Genre.Zum Inhalt: Einleitung Designprinzipien Wie Point & Click-Adventures funktionieren Eine kurze Geschichte der Point & Click-Adventures Lucasarts vs. Sierra On-Line Die Underdogs 2D oder 3D – Warum das Genre (fast) starb Escape Room vs. Point & Click-Adventure Weibliche Protagonisten in Point & Click-Adventures Vorher / Nachher – Remakes von Point & Click-Adventures Kurioses und Skurriles Die wichtigsten Point & Click-Adventures Zwischen Retro und Renaissance Glossar mit Begriffen rund um Point & Click-Adventures Ausführliches Inhaltsverzeichnis zum PDF-Download
PHP 8 Objects, Patterns, and Practice: Volume 2
Continue to develop elegant and rock-solid systems using PHP. With a focus on mastering essential development tools and applying best practices, Volume 2 of this 7th edition has been fully updated for PHP 8.3 and the most recent stable iterations of all tools and processes. It includes entirely new chapters covering Docker, Ansible, refactoring tools, and PHP on the command line. The volume also reintroduces a chapter on inline documentation and extends its coverage of continuous integration to include GitHub Actions.This book builds on the solid grounding provided by Volume 1 to cover the tools and practices needed to develop, test, and deploy robust code. You’ll see how to manage multiple developers and releases with git, create development environments, and deploy Composer to leverage thousands of tools and libraries and manage dependencies. You’ll also explore strategies for automated testing and continuous integration and learn essential techniques for deploying your code using Git and Ansible.After reading and using this book, you will have mastered a toolset that can support the entire lifecycle of a PHP project, from the creation of a flexible development environment, through collaboration, the use of standards-based best practice and documentation, to testing and deployment across multiple production servers.YOU WILL LEARN TO:* Master the tools and strategies for testing new code, and techniques for testing legacy projects* Create inline documentation for use by team members, users, and tools such as IDEs* Work with Selenium to test web interfaces* Manage your code and collaborate with your team using Git* Leverage continuous integration to build rock solid systems* Deploy your system and securely manage your project’s configuration with AnsibleWHO THIS BOOK IS FORAnyone with at least a basic knowledge of PHP who wants to learn about the practices and tools) that can make projects safe, elegant and stable.Chapter 1. Good (and Bad) Practice.- Chapter 2. Inline Documentation.- Chapter 3. PHP Standards.- Chapter 4. Refactoring and Standards Tools.- Chapter 5. Using and Creating Components with Composer.- Chapter 6. Version Control with Git.- Chapter 7. Testing.- Chapter 8. Vagrant.- Chapter 9. Docker.- Chapter 10. Ansible.- Chapter 11. PHP on the Command Line.- Chapter 12. Continuous Integration.- Chapter 13. PHP Practice.- Appendix A: A Simple Parser.
Superconducting Qubit Design Using Qiskit Metal
Understand and implement superconducting Qubit Design using Qiskit Metal in the Quantum Computing environment. This book provides practical knowledge and step-by-step guidance on designing, analyzing, and fabricating quantum chips.The book begins with an introduction to the fundamentals of quantum computing, covering essential terms, concepts, and the history of quantum computers. It explores the differences between quantum and classical computers and provides an overview of superconducting qubits. Next, you will learn the theory and practical aspects of superconducting qubits. Detailed mathematical and computational analyses of different qubit types and circuits are provided, along with a comprehensive guide to creating quantum circuits using Qiskit and Qiskit Metal. You will learn to design quantum chips and analyze components such as Josephson junctions and qubit couplers, using advanced methods such as the Lumped Oscillator Model, Quasi-Lumped Oscillator Model, and Energy Participation Ratio Method. Finally, the book covers the fabrication of superconducting qubits, detailing the manufacturing process, requirements, and methods to address fabrication issues.After reading this book, you will be able to advance your understanding and skills in this cutting-edge field, making complex concepts accessible and providing a roadmap for practical application.WHAT YOU WILL LEARN* Install the Qiskit framework for creating basic quantum computing circuits* Create your first superconducting qubit chip from scratch* Formulate the back-end mathematical and computational model for the generated superconducting chips* Understand the Quasi-LOM (lumped oscillator model) and how it differs from the LOMWHO THIS BOOK IS FORQuantum computing professionals working with superconducting qubitsCHAPTER 1: Introduction: Superconducting Qubits and Their Realizations.- CHAPTER 2: Theory of Superconducting Qubits.- CHAPTER 3: Qiskit and Introduction to Qiskit Metal.- CHAPTER 4: Qiskit Metal and Introduction to Chip Design.- CHAPTER 5: Lumped Oscillator Model Analysis.- CHAPTER 6: Energy-Participation Ratio Method for Quantization and Analysis.- CHAPTER 7: Modelling the HamiltonianTransmon Qubit Cooper-Pair Box in the Charge Basis.- CHAPTER 8: Manufacturing: Fabrication and Packaging of Qubits.
AWS Certified Security Study Guide
A PRACTICAL AND COMPREHENSIVE GUIDE TO THE AWS CERTIFIED SECURITY EXAM AND YOUR NEXT AWS CLOUD SECURITY JOBIn the newly revised second edition of AWS Certified Security Study Guide: Specialty (SCS-C02) Exam, a team of veteran Amazon Web Services cloud security experts delivers a comprehensive roadmap to succeeding on the challenging AWS Certified Security Specialty certification exam. You'll prepare for the exam faster and smarter with authoritative content, an assessment test, real-world examples, practical exercises, and updated chapter review questions. You'll also acquire the on-the-job skills you need to hit the ground running in your next AWS cloud security position.This book offers complete coverage of every tested exam objective, including threat detection, incident response, security logging and monitoring, cloud infrastructure security, identity and access management (IAM), data protection, and management and security governance.It also includes:* Complimentary access to the hands-on, digital Sybex learning environment and test bank, with hundreds of practice questions, flashcards, and a glossary of important terminology, accessible from a wide variety of devices* All the material you need to conquer the difficult SCS-C02 exam on your first attempt* Quick reference material ideal for fast on-the-job use in any AWS cloud security-related roleAn up-to-date and essential study companion for anyone preparing to take the AWS Certified Security (SCS-C02) exam, this study guide is also ideal for aspiring and practicing AWS cloud security professionals seeking a refresher on critical knowledge you'll need every day at your current or next job.ABOUT THE AUTHORSMAURICIO MUÑOZ is a Senior Manager of a Specialist Solutions Architects team at AWS in Latin America. DARÍO GOLDFARB is a Security Solutions Architect at AWS in Latin America. ALEXANDRE M.S.P. MORAES is a Director of TelTec, a Brazilian systems integrator focused on network design, security architecture, and cloud computing. OMNER BARAJAS is a Security Specialist Solutions Architect at AWS in Mexico. He has more than 18 years of professional experience in IT. ANDRÉS GONZÁLEZ SANTOS is a Senior Security Architect at AWS in Latin America. ROGERIO KASA is a Senior Security Solutions Architect at AWS in Latin America. Introduction xxi Assessment Test xxviiChapter 1 Security Fundamentals 1Chapter 2 Cloud Security Principles and Frameworks 45Chapter 3 Management and Security Governance 67Chapter 4 Identity and Access Management 87Chapter 5 Security Logging and Monitoring 131Chapter 6 Infrastructure Protection 191Chapter 7 Data Protection 293Chapter 8 Threat Detection and Incident Response 385Appendix A Answers to Review Questions 431Appendix B Creating Your Security Journey in AWS 441Appendix C AWS Security Services Portfolio 449Appendix D DevSecOps in AWS 467Index 501
Textual Intelligence
THE BOOK IS A MUST-HAVE RESOURCE FOR ANYONE LOOKING TO UNDERSTAND THE COMPLEXITIES OF GENERATIVE AI, OFFERING COMPREHENSIVE INSIGHTS INTO LLMS, EFFECTIVE TRAINING STRATEGIES, AND PRACTICAL APPLICATIONS.Textual Intelligence: Large Language Models and Their Real-World Applications provides an overview of generative AI and its multifaceted applications, as well as the significance and potential of Large Language Models (LLMs), including GPT and LLaMA. It addresses the generative AI project lifecycle, challenges in existing data architectures, proposed use case planning and scope definition, model deployment, and application integration. Training LLMs, data requirements for effective LLM training, pre-training and fine-tuning processes, and navigating computational resources and infrastructure are also discussed. The volume delves into in-context learning and prompt engineering, offering strategies for crafting effective prompts, techniques for controlling model behavior and output quality, and best practices for prompt engineering. Textual Intelligence: Large Language Models and Their Real-World Applications also discusses cost optimization strategies for LLM training, aligning models to human values, optimizing model architectures, the power of transfer learning and fine-tuning, instruction fine-tuning for precision, and parameter-efficient fine-tuning (PEFT) with adapters such as LoRA, QLoRA, and soft prompts, making it an essential guide for both beginners and industry veterans. Readers will find this book:* Explores the real-world potential of large language models;* Introduces industry-changing AI solutions;* Provides advanced insights on AI and its models.AUDIENCEIndustry professionals, academics, graduate students, and researchers seeking real-world solutions using generative AI. MEENAKSHI MALIK, PHD is an assistant professor at BML Munjal University, India, with over 12 years of experience. She earned her computer science and engineering doctorate at Maharshi Dayanand University, Rohtak, in December 2023 and was honored by the Vice President for her exceptional PhD research. Her research interests include artificial intelligence, machine learning, deep learning, and big data. PREETI SHARMA, PHD is a faculty member at Chitkara University, Punjab, India. She is the author or co-author of over 12 publications in national and international journals and conferences. Dr. Sharma’s research interests include extensive work in blockchain and its diverse applications, as well as artificial intelligence and machine learning. SUSHEELA HOODA, PHD is an associate professor in the Department of Computer Science and Engineering, Chitkara University, Punjab, India. She has published over 30 technical research papers in national and international journals and conferences. Her research interests include software engineering, aspect-oriented software development, software testing, cloud computing, artificial intelligence, and machine learning.
CompTIA Cloud+ Study Guide
EFFECTIVELY PREPARE FOR THE UPDATED CLOUD+ CERTIFICATION EXAM WITH ACCURATE AND EXPERT GUIDANCE FROM SYBEXIn the updated fourth edition of CompTIA Cloud+ Study Guide: Exam CV0-004, cloud and DevOps consultant and tech educator Ben Piper walks you through the knowledge and skills you need to succeed on the updated CompTIA Cloud+ certification exam (CV0-004). You'll learn about cloud architecture and design concepts, how to implement and maintain a secure cloud environment, and successfully provision and configure cloud resources.The book explains every objective and topic covered by the CV0-004 exam, effectively measuring your readiness for the test and efficiently preparing you for it.INSIDE THE GUIDE:* One year of complimentary access after activation to the Sybex interactive learning environment and test bank, with practice questions, electronic flashcards, and a key term glossary* Complete coverage of every topic tested by the CV0-004 exam: Cloud architecture, Deployment, Operations, Security, DevOps Fundamentals, and Troubleshooting* Accurate updates consistent with the latest version of the Cloud+ examThe fourth edition of the CompTIA Cloud+ Study Guide is the ideal resource for anyone preparing for the updated Cloud+ CV0-004 exam. It's also an essential read for practicing cloud and networking professionals seeking practical insights into cloud computing, as well as those who want to expand or upgrade their IT skillset.ABOUT THE AUTHORBEN PIPER is an IT Cloud and DevOps consultant and co-author of the bestselling AWS Certified Cloud Practitioner Study Guide: Foundational Exam, first and second editions. He is also the co-author of AWS Certified Solutions Architect Study Guide: Associate Exam, second and third editions, and AWS Certified SysOps Administrator Practice Tests: Associate Exam, and CCNP Enterprise Certification Study Guide. You can contact Ben by visiting his website, benpiper.com. IntroductionAssessment TestAnswers to Assessment TestCHAPTER 1 Introducing Cloud Computing Configurations and DeploymentsCHAPTER 2 Cloud DeploymentsCHAPTER 3 Security in the CloudCHAPTER 4 Implementing Cloud SecurityCHAPTER 5 Maintaining Cloud OperationsCHAPTER 6 Disaster Recovery, Business Continuity, and Ongoing MaintenanceCHAPTER 7 Cloud ManagementCHAPTER 8 Cloud Management Baselines, Performance, and SLAsCHAPTER 9 TroubleshootingCHAPTER 10 Troubleshooting Networking and Security Issues and Understanding MethodologiesAPPENDIX A Answers to Review QuestionsAPPENDIX B Answers to Written LabsIndex
Die Macht der Ambivalenz
Beim Umgang mit persönlichem Wissen stellt sich die Frage, wie Gedanken und persönliche Zusammenhänge mit Hilfe von Medien langfristig abgelegt, wiederverwendet, kommuniziert und maschinell weiterverarbeitet werden können. Dabei zeigt sich ein ambivalentes Spannungsfeld zwischen intuitiver Arbeit mit persönlichen Gedanken auf der einen Seite und strukturierter Ordnung zur Wiederverwendung und maschinellen Verarbeitung auf der anderen Seite.In diesem Buch wird das Spannungsfeld beleuchtet und ein Anforderungskatalog für Lösungen präsentiert, die sich dem zu stellen versuchen, sogenannte Personal Knowledge Graphen (PKGs). Außerdem werden komplexe, persönliche Use Cases vorgestellt, die mit Hilfe eines vom Autor entwickelten Personal Knowledge Graph praktisch umgesetzt wurden. Sie stellen einige innovative Ansätze im Umgang mit dem Spannungsfeld vor. Zusätzlich wird eine Technologie-unabhängige Perspektive präsentiert, da vorhandene Lösungen noch in den Kinderschuhen stecken..- Einleitung.- Der reziprok-ambivalente Aspekt des menschlichen Denkens.- Medien.- Die Potentiale eines möglichen reziprok-ambivalenten Mediums.- Personal Knowledge Graph (PKG).- Der Zettelkasten von Niklas Luhmann.- Anforderungskatalog.- Ein reziprok-ambivalenter Ansatz: nOMod.- Die Herausforderungen.- Das Zusammenspiel der Unterstützungspotentiale und Ausblick.- Literaturverzeichnis.
Certified Kubernetes Administrator Study Companion
The Kubernetes landscape is constantly evolving, making it crucial to stay updated on the latest best practices and technologies. Using a structured approach and practical applications, this comprehensive study companion is designed to help individuals prepare for the Certified Kubernetes Administrator (CKA) exam.You’ll start by reviewing a range of essential topics that serve as prerequisites for certification, such as what Kubernetes is, its architecture, and key components like the Control Plane, ApiServer, and ETCD. The book then addresses workloads and scheduling, providing insights into pods, deployments, and various resource management techniques. Additionally, you’ll explore storage management in Kubernetes, detailing persistent volumes, access modes, and storage classes. Networking topics, including pod connectivity, CoreDNS, and network policies are covered as well.Throughout the book, troubleshooting techniques are emphasized, focusing on monitoring cluster components and application performance.Most importantly, the book offers guidance on exam preparation, including patterns, prerequisites, and last-minute tips, along with sample questions to aid your study process. Whether you're new to Kubernetes or actively studying for the CKA certification, this book will serve as your essential resource.WHAT YOU WILL LEARN* Kubernetes fundamentals, including architecture, components, and installation.* In-depth knowledge on workloads and scheduling, covering pods, deployments, and services.* Essential insights into storage management, networking, and cluster architecture.* Troubleshooting techniques for monitoring and resolving issues in Kubernetes environments.* Exam preparation tips, including sample questions and strategies for success.WHO THIS BOOK IS FORCollege students, recent graduates, IT professionals in the Cloud/DevOps domain, individuals transitioning into Cloud/DevOps roles, Kubernetes administrators, and DevOps engineers.PART I: Kubernetes Fundamentals.- Chapter 1: Introduction to Kubernetes.- Chapter 2: Kubernetes Architecture.- Chapter 3: Kubernetes Installation.- PART II: Workloads and Scheduling.- Chapter 4: Pods in Kubernetes.- Chapter 5: ReplicaSets, Replication Controller, and Deployments.- Chapter 6: Services in Kubernetes.- Chapter 7: NameSpaces.- Chapter 8: Daemonset, Cronjob, and job.- Chapter 9: Static Pods and Scheduling.- Chapter 10: Autoscaling in Kubernetes.- Chapter 11: Manifest Management tools.- Chapter 12: Authorization and Authentication.- Chapter 13: Network Policies.- PART III: Storage.- Chapter 14: Kubernetes Installation using KubeAdm.- Chapter 15: Storage in Kubernetes.- PART IV: Services and Networking.- Chapter 16: Kubernetes Networking.- Chapter 17: Operators and Custom Resources.- PART V: Cluster Architecture, Installation, and Configuration.- Chapter 18: Cluster Maintenance.- Chapter 19: Kubernetes version upgrade using kubeadm.- PART VI: Troubleshooting.- Chapter 20: Monitoring, Logging, and Alerting.- Chapter 21: Troubleshooting Application Failure.- Chapter 22: Troubleshooting Control Plane Failure.- Chapter 23: JSONPath.- Appendix: Tips and Tricks.- Sample Questions.
Automated Machine Learning and Industrial Applications
THE BOOK PROVIDES A COMPREHENSIVE UNDERSTANDING OF AUTOMATED MACHINE LEARNING’S TRANSFORMATIVE POTENTIAL ACROSS VARIOUS INDUSTRIES, EMPOWERING USERS TO SEAMLESSLY IMPLEMENT ADVANCED MACHINE LEARNING SOLUTIONS WITHOUT NEEDING EXTENSIVE EXPERTISE.Automated Machine Learning (AutoML) is a process to automate the responsibilities of machine learning concepts for real-world problems. The AutoML process is comprised of all steps, beginning with a raw dataset and concluding with the construction of a machine learning model for deployment. The purpose of AutoML is to allow non-experts to work with machine learning models and techniques without requiring much knowledge in machine learning. This advancement enables data scientists to produce the easiest solutions and most accurate results within a short timeframe, allowing them to outperform normal machine learning models. Meta-learning, neural network architecture, and hyperparameter optimization, are applied based on AutoML. Automated Machine Learning and Industrial Applications offers an overview of the basic architecture, evolution, and applications of AutoML. Potential applications in healthcare, banking, agriculture, aerospace, and security are discussed in terms of their frameworks, implementation, and evaluation. This book also explores the AutoML ecosystem, its integration with blockchain, and various open-source tools available on the AutoML platform. It serves as a practical guide for engineers and data scientists, offering valuable insights for decision-makers looking to integrate machine learning into their workflows. Readers will find the book:* Aims to explore current trends such as augmented reality, virtual reality, blockchain, open-source platforms, and Industry 4.0;* Serves as an effective guide for professionals, researchers, industrialists, data scientists, and application developers; * Explores technologies such as IoT, blockchain, artificial intelligence, and robotics, serving as a core guide for undergraduate and postgraduate students.AUDIENCEData and computer scientists, research scholars, professionals, and industrialists interested in technology for Industry 4.0 applications. E. GANGADEVI, PHD is an assistant professor in the Department of Computer Science at Loyola College, Chennai, India. She has published two patents, six books, over 18 research papers in international journals, and many book chapters. Her areas of research are machine learning, deep learning, IoT, and cloud computing. M. LAWANYA SHRI, PHD is an associate professor in the School of Information Technology and Engineering at Vellore Institute of Technology, India. She has published two books, two patents, and over 50 articles and papers in refereed journals and international conferences. Her research interests include blockchain technology, machine learning, cloud computing, and IOT. BALAMURUGAN BALUSAMY, PHD is an associate dean at Shiv Nadar University, Delhi, India with over 12 years of teaching experience. He has published more than 200 papers in international journals, 80 books, and given over 195 talks at various international events and symposia. His contributions focus on engineering education, blockchain, and data sciences. RAJESH KUMAR DHANARAJ, PHD is a professor in the School of Computing Science and Engineering at Symbiosis University, Pune, India. He has contributed to over 25 books on various technologies, 21 patents, and 53 articles and papers in various refereed journals and conferences. His research interests include machine learning, cyber-physical systems, and wireless sensor networks.
Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence
Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence offers a corpus on intelligent automation systems using computer vision and AI. This book will cover everything from foundational concepts to real-world applications and ethical considerations. The book covers the major role, current trends, challenges, and possible solutions to existing challenges. With the knowledgeable insights of this book, readers gain actionable knowledge with case studies and the integration of various techniques, like facial recognition and natural language processing.This book contains 22 chapters on intelligent automation systems. The first section presents the study of intelligent automation systems, driven by artificial intelligence. This section further presents studies on the automation system and optimizing data flow management using AI algorithms. The second section provides a study of computer vision and how these systems automate tasks, like object recognition, image classification, and scene understanding. In addition, this section also explores the rapid advancements in computer vision and image processing and provides surveys on how AI enhances mental health services and patient outcomes. The third section explores the interconnection between neuroscience and artificial intelligence. Furthermore, this section provides studies of neural connections and how neuroscience aids in improving learning methods and validating AI modelsRupali Gill, Ph.D., is a professor and dean at Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She is a distinguished researcher in image processing, cloud computing, artificial intelligence, and machine learning. She has published over 47 technical research papers in leading journals and conferences. Dr. Gill has also organized international conferences and published patents.Susheela Hooda, Ph.D., is an associate professor and head (academic delivery), Chitkara University of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She researches areas in software engineering, aspect-oriented software development, software testing, cloud computing, etc. She has published over thirty technical research papers in leading journals and conferences. She has published more than 10 national and international patents.Durgesh Srivastava, Ph.D., is a professor and head (academic operations), Chitkara University of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. He is an enthusiastic and motivating technocrat who has organized and attended various workshops during his 15+ teaching career. His research interests include machine learning, soft computing, pattern recognition, software engineering, modeling, design, etc. He has published over 30 papers in reputed international/national journals and conferences/seminars. He has published several patents and copyrights in the field of computer software.Shilpi Harnal, Ph.D., is an associate professor at Chandigarh University, Punjab, India. She specializes in cloud computing. She has also worked on fog computing, underwater wireless sensor networks, artificial intelligence, etc. Dr. Harnal has published around 34 research papers in various international/national peer-reviewed journals, books, and conferences with 24 Scopus-indexed publications
AI Frameworks Enabled by Blockchain
Blockchain technology offers a powerful foundation for building trust, privacy and verifiability into AI frameworks. This book will focus on how a blockchain can enable AI frameworks and applications to scale in a responsible fashion, reshaping the future of numerous industries from financial markets to healthcare and education. You’ll see that in the next wave of AI products, blockchain can provide a “Trust Layer,” a fundamental feature previously only implemented for parties within a blockchain network. The provable consensus algorithms and oracles previously implemented in blockchains can be extended to autonomous agents that are integrated with large language models (LLMs) and future applications. Finally, you’ll learn that safety is a major concern for practical applications of AI and blockchain can help mitigate threats due to the decentralized nature. As such, there will be significant discourse on how blockchain can provide enhanced security against prompt injections, LLM-hijacking for dangerous information and privacy. These ideas were studied rigorously when large financial institutions were releasing their own blockchains and distributed ledger protocols with a heavy focus privacy. AI is undergoing a Cambrian explosion this year with foundational models emerging for all major domains of study, however, most such models lack the capacity to externally validate for the “correctness” of a fact, or reply made by the LLM. Similarly, there are no definitive methods to distinguish between meaningful insights and hallucination. These challenges remain at the forefront of AI research, and AI Frameworks Enabled by Blockchain aims to translate technical literature into actionable and practical tips for the AI domain. What You Will Learn · Bring a layer of accuracy to generative AI where a non-generative component behaves as guardrails · Protect users from harmful biases as well as hallucinations. · See how blockchain plays a role in aligning AI with human interests. · Review use-cases and real-world applications from parties that have invested a significant amount in building technology stacks utilizing both. Who This Book Is For Enterprise users and policy makers in the field of Professional and Applied Computing Introduction.- 1. AI Enabled Blockchain.- 2.Behold the Dreamers.- 3.The Gold Rush: Mining Bitcoin.- 4.Foundations of a blockchain beyond Bitcoin.- 5. Unpacking Ethereum.- 6.Decentralized organizations.- 7. The DAO Hacked.- 8.High-Performance Decentralized Computing.- 9.Blockchain in Funding for Science.- 10.Large Language Multimodesl and Autonomous Agents.- 11.Generative AI in Healthcare.- 12.Technological Revolutions and Financial Capital.- 13.Blockchain-based Consortia as a Service.- 14.Blockchain-based Standards for Healthcare and AI.- 15.Blockchain in Government and Enterprise.- 16.Beyond AI and Blockchain: A roundtable conversation.
Privileged Access Management
Zero trust is a strategy that identifies critical, high-risk resources and greatly reduces the risk of a breach. Zero trust accomplishes this by leveraging key tools, technologies, and governance around Privileged Access Management (PAM). These identities and accounts that have elevated access are the key targets of the bad actors and nearly every event, breach, or incident that occurs is the result of a privileged account being broken into.Many organizations struggle to control these elevated accounts, what tools to pick, how to implement them correctly, and implement proper governance to ensure success in their zero trust strategy. This book defines a strategy for zero trust success that includes a privileged access strategy with key tactical decisions and actions to guarantee victory in the never-ending war against the bad actors.What You Will Learn:* The foundations of Zero Trust security and Privileged Access Management.* Tie-ins to the ZT strategy and discussions about successful implementation with strategy and governance.* How to assess your security landscape including current state, risk-based gaps, tool and technology selection, and assessment output.* A step-by-step strategy for Implementation, including planning, execution, governance, and root-cause analysis.Who This Book is for:* C-level suite: not designed to be overly technical, but cover material enough to allow this level to be conversant in strategy and leadership needs to success.* Director-level in Cyber and IT: this level of personnel are above the individual contributors (IC) and require the information in this book to translate the strategy goals set by C-suite and the tactics required for the ICs to implement and govern.* GRC leaders and staff.* Individual Contributors: while not designed to be a technical manual for engineering staff, it does provide a Rosetta Stone for themto understand how important strategy and governance are to their success. Chapter 1: Privileged Access Management: The Essentials- Chapter 2: Zero Trust: Origins and Evolutions.- Chapter 3: Assessments and Solutions.- Chapter 4: PAM Governance.- Chapter 5: Blueprint for Successfull Implementation.- Chapter 6: Conclusion.