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Learn all skills needed to be a Certified Kubernetes professional¿DESCRIPTION Want to become a Certified Kubernetes Application Developer (CKAD)? If you're looking to take your Kubernetes skills to the next level, then you need this book.This comprehensive and easy-to-read guide is perfect for aspiring Kubernetes developers and seasoned professionals alike. It covers everything you need to know to confidently prepare for and pass the CKAD certification exam. It starts with the basics of Kubernetes, Docker, and Minikube, and then progresses to more advanced topics such as deployment strategies, pod design, networking, security, monitoring, volume, probes and more. It even includes two full scale mock exams to help you practice for the real CKAD exam. By the end of the book, you will have the knowledge and skills you need to excel in deploying and managing containerized applications in Kubernetes environments and should feel confident to appear for the CKAD exam.WHAT YOU WILL LEARN¿ Prepare you for Certified Kubernetes Application Developer CKAD exam.¿ Dive deep into Kubernetes and its core and advanced concepts.¿ Explore the various kubectl commands that are essential for passing the CKAD exam.¿ Learn Tips and tricks and best practices to pass the CKAD exam.¿ Learn how to deploy, manage, monitor and troubleshoot Kubernetes applications.¿ Lots of real CKAD exam-like questions including mock exam for you to practice and to assess your knowledge and identify areas where you need to improve.WHO THIS BOOK IS FORThis book is intended for anyone who is interested in taking the Certified Kubernetes application developer (CKAD) exam. The book covers core and advance Kubernetes concepts and thus is a valuable resource for developers, system administrators, and DevOps engineers who want to learn how to develop, deploy, and manage applications on Kubernetes.
Kickstart your emotion analysis journey with this step-by-step guide to data science success Key Features:Discover the inner workings of the end-to-end emotional analysis workflowExplore the use of various ML models to derive meaningful insights from dataHone your craft by building and tweaking complex emotion analysis models with practical projectsPurchase of the print or Kindle book includes a free PDF eBookBook Description:Artificial intelligence and machine learning are the technologies of the future, and this is the perfect time to tap into their potential and add value to your business. Machine Learning for Emotion Analysis in Python helps you employ these cutting-edge technologies in your customer feedback system and in turn grow your business exponentially.With this book, you'll take your foundational data science skills and grow them in the exciting realm of emotion analysis. By following a practical approach, you'll turn customer feedback into meaningful insights assisting you in making smart and data-driven business decisions.The book will help you understand how to preprocess data, build a serviceable dataset, and ensure top-notch data quality. Once you're set up for success, you'll explore complex ML techniques, uncovering the concepts of deep neural networks, support vector machines, conditional probabilities, and more. Finally, you'll acquire practical knowledge using in-depth use cases showing how the experimental results can be transformed into real-life examples and how emotion mining can help track short- and long-term changes in public opinion.By the end of this book, you'll be well-equipped to use emotion mining and analysis to drive business decisions.What You Will Learn:¿Distinguish between sentiment analysis and emotion analysisMaster data preprocessing and ensure high-quality inputExpand the use of data sources through data transformationDesign models that employ cutting-edge deep learning techniquesDiscover how to tune your models' hyperparametersExplore the use of naive Bayes, SVMs, DNNs, and transformers for advanced use casesPractice your newly acquired skills by working on real-world scenariosWho this book is for:This book is for data scientists and Python developers looking to gain insights into the customer feedback for their product, company, brand, governorship, and more. Basic knowledge of machine learning and Python programming is a must.
Computing Concepts for Information Technology explains how computers really work, including how images, sounds, and video are represented by numbers and how chips with millions of transistors process those numbers.Computing concepts for Information Technology is suitable for people with no prior study of computer systems, although it may be helpful to have experience with a high-level programming language such as Java or Python.Computing Concepts for Information Technology tells a story that begins in the 19th century and shows that the Internet, phones, tablets, and laptops that are so much a part of our lives did not spring fully formed from a Silicon Valley campus. On the inside, computers are all about numbers, and the story continues with numbers and number systems. It reveals the mysteries of binary numbers and explains why computers use a number system different from the one we use every day. One of the reviewers of the book remarked that students of computing should know enough about the digital logic that makes computers work to believe that what's inside is not little green Martians with calculators, and the book provides a thorough explanation.Input and output, data communications, computer software, and information security are covered at a fundamental level and provide the necessary background for further study.The beginning of the 21st century is an exciting time for those who make, use, and study computers and computer systems, and this book provides the basis for keeping up with the changes that are taking place right now.
NGINX is one of the most widely used web servers available today, in part because of its capabilities as a load balancer and reverse proxy server for HTTP and other network protocols. This cookbook provides easy-to-follow examples to real-world problems in application delivery. The practical recipes will help you set up and use either the open source or commercial offering to solve problems in various use cases.For professionals who understand modern web architectures, such as n-tier or microservice designs, and common web protocols including TCP and HTTP, these recipes provide proven solutions for security, software load balancing, and monitoring and maintaining NGINXs application delivery platform. Youll also explore advanced features of both NGINX and NGINX Plus, the free and licensed versions of this server.Youll find recipes for:High-performance load balancing with HTTP, TCP, and UDPSecuring access through encrypted traffic, secure links, HTTP authentication subrequests, and moreDeploying NGINX to Google Cloud, AWS, and Azure cloud computing servicesSetting up and configuring NGINX ControllerInstalling and configuring the NGINX Plus App Protect moduleEnabling WAF through Controller ADC
The essential manual "Exploring Computer Systems: From Fundamentals to Advanced Concepts" takes readers on a thorough tour of the world of computer systems. This book offers a thorough examination of computer systems, starting with the fundamentals and advancing to complex concepts. The book's excellent basis in computer architecture and components at the outset makes it understandable for both newcomers and seasoned IT experts. The basic concepts of hardware, software, and their relationships are covered, enabling readers to comprehend how contemporary computer systems operate within.Readers delve into the complexities of operating systems, including as process management, memory management, and file systems, as they move through the chapters. The author is succinct and straightforward. These complicated subjects are demystified by the author's succinct and simple explanations, making them understandable to readers of all skill levels. This book's covering on networking and communication protocols is one of its best qualities. It offers a thorough review of computer networking and communication in local and wide-area networks, illuminating terms like TCP/IP, routing, and security. The fascinating worlds of virtualization and cloud computing are also highlighted in the book. The impact of virtual machines and cloud services, which have transformed the IT environment and increased computing flexibility, scalability, and affordability, is explained to readers.
"The Art of ARM Assembly is a comprehensive masterclass that guides you through the instruction set for the increasingly popular 64-bit ARM CPU, teaching you to both translate high-level language operations into assembly language and write powerful programs unique to ARM. Readers first learn basic 64-bit ARM architecture and syntax for the GNU assembler, then they go in-depth on the fundamentals of machine organization, computer data representation and operations, and memory access. After building a strong foundation by mastering Gas procedures, control structures, and arithmetic functions, the book dives into advanced ARM programming. Each chapter includes exercises to test your skills and resources for further learning"--
The Internet of Energy (IoE), with the integration of advanced information and communication technologies (ICT), has led to a transformation of traditional networks to smart systems. Internet of Energy Handbook provides updated knowledge in the field of energy management with an Internet of Things (IoT) perspective. FeaturesExplains the technological developments for energy management leading to a reduction in energy consumption through topics like smart energy systems, smart sensors, communication, techniques, and utilizationIncludes dedicated sections covering varied aspects related to renewable sources of energy, power distribution, and generationIncorporates energy efficiency, optimization, and sensor technologies Covers multidisciplinary aspects in computational intelligence and IoTDiscusses building energy management aspects including temperature, humidity, the number of persons involved, and light intensityThis handbook is aimed at graduate students, researchers, and professionals interested in power systems, IoT, smart grids, electrical engineering, and transmission.
This book gives a complete overview of cloud computing, its importance, its trends, innovations, and its amalgamation with other technologies. It provides content for reference.
Information and Knowledge Organisation explores the role of knowledge organisation in the digital humanities. By focusing on how information is described, represented and organised in both research and practice, this work furthers the transdisciplinary nature of digital humanities.
Despite DRL, there are still domain-specific challenges in complex wireless network virtualization requiring further study covered in this book; DNN architectures design with 5G network optimization, developing intelligent mechanism for automated management of virtual communications in SDNs, etc
This book provides a comprehensive overview of machine learning algorithms and examines their application in complex decision-making systems in a service-oriented framework.
This book constitutes the proceedings of the 29th International Conference on Parallel and Distributed Computing, Euro-Par 2023, held in Limassol, Cyprus, in August/September 2023.The 49 full papers presented in this volume were carefully reviewed and selected from 164 submissions. They are covering the following topics: programming, compilers and performance; scheduling, resource management, cloud, edge computing, and workflows; architectures and accelerators; data analytics, AI, and computational science; theory and algorithms; multidisciplinary, and domain-specific and applied parallel and distributed computing.
This book gives a detailed overview of a universal Maximum Likelihood (ML) decoding technique, known as Guessing Random Additive Noise Decoding (GRAND), has been introduced for short-length and high-rate linear block codes. The interest in short channel codes and the corresponding ML decoding algorithms has recently been reignited in both industry and academia due to emergence of applications with strict reliability and ultra-low latency requirements . A few of these applications include Machine-to-Machine (M2M) communication, augmented and virtual Reality, Intelligent Transportation Systems (ITS), the Internet of Things (IoTs), and Ultra-Reliable and Low Latency Communications (URLLC), which is an important use case for the 5G-NR standard.GRAND features both soft-input and hard-input variants. Moreover, there are traditional GRAND variants that can be used with any communication channel, and specialized GRAND variants that are developed for a specific communication channel. This book presents a detailed overview of these GRAND variants and their hardware architectures.The book is structured into four parts. Part 1 introduces linear block codes and the GRAND algorithm. Part 2 discusses the hardware architecture for traditional GRAND variants that can be applied to any underlying communication channel. Part 3 describes the hardware architectures for specialized GRAND variants developed for specific communication channels. Lastly, Part 4 provides an overview of recently proposed GRAND variants and their unique applications.This book is ideal for researchers or engineers looking to implement high-throughput and energy-efficient hardware for GRAND, as well as seasoned academics and graduate students interested in the topic of VLSI hardware architectures. Additionally, it can serve as reading material in graduate courses covering modern error correcting codes and Maximum Likelihood decoding for short codes.
Die Übersetzung der sechsten Auflage des Standardwerks zur Rechnerorganisation »Computer Organization and Design« bietet dem Leser neue Beispiele, Übungsaufgaben sowie Stoff über mobiles Computing und die Cloud. Die Inhalte wurden verbessert und mit der Vorstellung neuer Prozessoren aktualisiert. Das sechste Kapitel wurde um einen Abschnitt über domänenspezifische Architekturen erweitert, ein neuer Ansatz, der am Beispiel von Googles Tensor Processing Unit (TPU) ausführlich dargestellt wird. Abschnitte zur Beschleunigung demonstrieren am Beispiel der Matrixmultiplikation verschiedene Optimierungsschritte, die wichtige Architekturprinzipien ausnutzen. Sieben bedeutende Konzepte der Computerarchitektur werden eingeführt und diskutiert: Performanz durch Parallelität, Performanz durch Pipelining, Performanz durch Vorhersagen, Speicherhierarchien, Abstraktion zur Vereinfachung des Designs, das Beschleunigen des häufigen Falls und Zuverlässigkeit durch Redundanz. Wie bei den vorherigen Auflagen ist ein MIPS-Prozessor der Kern, der verwendet wird, um die Grundlagen von Hardwaretechnologien, Assemblersprache, Computerarithmetik, Pipelining, Speicherhierarchien und der Ein-/Ausgabe zu vermitteln.Z
This book constitutes the proceedings of the 19th International Workshop on OpenMP, IWOMP 2023, held in Bristol, UK, during September 13¿15, 2023.The 15 full papers presented in this book were carefully reviewed and selected from 20 submissions. The papers are divided into the following topical sections: OpenMP and AI; Tasking Extensions; OpenMP Offload Experiences; Beyond Explicit GPU Support; and OpenMP Infrastructure and Evaluation.
Learn computer architecture with Python and ARM, simulating assembly program execution and designing a computer simulatorPurchase of the print or Kindle book includes a free PDF eBookKey Features- Build a computer simulator with Python: Learn computer architecture by designing and constructing a simulator- Python for architecture: Use Python to simulate and execute assembly language instructions- ARM programming on Raspberry Pi: Explore ARM assembly language and run programs on Raspberry PiBook DescriptionThis comprehensive guide offers a unique and immersive learning experience by combining Python programming with ARM architecture.Starting with an introduction to computer architecture and the flow of data within a computer system, you'll progress to building your own interpreter using Python. You'll see how this foundation enables the simulation of computer operations and learn ways to enhance a simulator by adding new instructions and displaying improved results.As you advance, you'll explore the TC1 Assembler and Simulator Program to gain insights into instruction analysis and explore practical examples of simulators. This will help you build essential skills in understanding complex computer instructions, strengthening your grasp of computer architecture. Moreover, you'll be introduced to the Raspberry Pi operating system, preparing you to delve into the detailed language of the ARM computer. This includes exploring the ARM instruction set architecture, data-processing instructions, subroutines, and the stack.With clear explanations, practical examples, and coding exercises, this resource will enable you to design and construct your own computer simulator, simulate assembly language programs, and leverage the Raspberry Pi for ARM programming.What you will learn- Master the core principles of computer architecture- Understand the role of registers, memory, and data flow in computers- Discover how to design and implement a computer simulator using Python- Simulate and execute assembly language programs on the simulator- Enhance the simulator using new instructions for improved output- Analyze complex computer instructions for deeper architectural understanding- Explore the ARM instruction set and data processing on the Raspberry Pi- Develop proficiency in writing, assembling, and running ARM code on the Raspberry PiWho this book is forThis book is for university students studying computer science, particularly those enrolled in a computer architecture module. With its practical approach and succinct explanations, it is also suitable for hobbyists, enthusiasts, and self-learners seeking a deeper understanding of computer systems. The book assumes foundational knowledge of number bases, binary arithmetic, and Boolean logic concepts. While it primarily caters to the computer science field, this book is less geared toward electrical or electronics engineering.Table of Contents- Introduction to the computer- Computer architecture: Data flow in a computer- Crafting an interpreter: First steps- A little more Python- Analyzing the Instruction- The Different Types of Computing Technologies- Adding New Instructions- Displaying results- Examples of simulators- "Basics of the Raspberry Pi operating system"- "ARM instruction set architecture"- ARM data-processing instructions- Appendix I: Examples of ARM code
This book constitutes the refereed proceedings of the 15th International Conference on Reversible Computation, RC 2023, held in Giessen, Germany, during July 18¿19, 2023.The 11 full papers and 3 short papers included in this book were carefully reviewed and selected from 19 submissions. They were organized in topical sections as follows:¿ Foundations; Reversible Programming; Quantum Computing; and Quantum Circuits.
Become a security automation expert and build solutions that save time while making your organization more secureKey Features:What's insideAn exploration of the SOAR platform's full features to streamline your security operationsLots of automation techniques to improve your investigative abilityActionable advice on how to leverage the capabilities of SOAR technologies such as incident management and automation to improve security postureBook Description:What your journey will look likeWith the help of this expert-led book, you'll become well versed with SOAR, acquire new skills, and make your organization's security posture more robust.You'll start with a refresher on the importance of understanding cyber security, diving into why traditional tools are no longer helpful and how SOAR can help.Next, you'll learn how SOAR works and what its benefits are, including optimized threat intelligence, incident response, and utilizing threat hunting in investigations.You'll also get to grips with advanced automated scenarios and explore useful tools such as Microsoft Sentinel, Splunk SOAR, and Google Chronicle SOAR.The final portion of this book will guide you through best practices and case studies that you can implement in real-world scenarios.By the end of this book, you will be able to successfully automate security tasks, overcome challenges, and stay ahead of threats.What You Will Learn:Reap the general benefits of using the SOAR platformTransform manual investigations into automated scenariosLearn how to manage known false positives and low-severity incidents for faster resolutionExplore tips and tricks using various Microsoft Sentinel playbook actionsGet an overview of tools such as Palo Alto XSOAR, Microsoft Sentinel, and Splunk SOARWho this book is for:You'll get the most out of this book ifYou're a junior SOC engineer, junior SOC analyst, a DevSecOps professional, or anyone working in the security ecosystem who wants to upskill toward automating security tasksYou often feel overwhelmed with security events and incidentsYou have general knowledge of SIEM and SOAR, which is a prerequisiteYou're a beginner, in which case this book will give you a head startYou've been working in the field for a while, in which case you'll add new tools to your arsenal
This book provides a comprehensive introduction to processing-in-memory (PIM) technology, from its architectures to circuits implementations on multiple memory types and describes how it can be a viable computer architecture in the era of AI and big data. The authors summarize the challenges of AI hardware systems, processing-in-memory (PIM) constraints and approaches to derive system-level requirements for a practical and feasible PIM solution. The presentation focuses on feasible PIM solutions that can be implemented and used in real systems, including architectures, circuits, and implementation cases for each major memory type (SRAM, DRAM, and ReRAM).
The book covers a range of topics dealing with emerging computing technologies which are being developed in response to challenges faced due to scaling CMOS technologies. It provides a sneak peek into the capabilities unleashed by these technologies across the complete system stack, with contributions by experts discussing device technology, circuit, architecture and design automation flows. Presenting a gradual progression of the individual sub-domains and the open research and adoption challenges, this book will be of interest to industry and academic researchers, technocrats and policymakers.Chapters "e;Innovative Memory Architectures Using Functionality Enhanced Devices"e; and "e;Intelligent Edge Biomedical Sensors in the Internet of Things (IoT) Era"e; are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Explore the complex world of digital solutions architecture and its pivotal role in the modern, technology-driven organization. The book provides a detailed roadmap, charting the intricate processes that solutions architects undertake to transform high-level business propositions into practical, actionable digital solutions. Offering a number of real-world examples, you'll work through examples of various digital projects encompassing cutting-edge technologies such as AI/ML, IoT, Cloud, and the integration with legacy systems. The book also explains how various elements coalesce to form a resilient solutions architecture, shedding light on the need for collaborative synergy between different organizational stakeholders, teams and disciplines. Solutions Architecture underscores the significance of aligning business and technology, demonstrating how this strategic collaboration maximizes the success of digital projects, setting you on the pathto a more robust and successful digital future for your organization.What You Will LearnUnderstand the solutions architecture process, including key concepts and best practicesIdentify business needs and requirements and translate them into actionable steps that result in effective digital solutionsSelect appropriate technologies, build prototypes, and conduct testing and validationDesign, implement, and maintain solutions Who This Book Is ForDigital Transformation Program Management, Program Managers, Solutions Architects, IT/Digital Project Managers
Gain practical experience designing and building high-performance, secure, and scalable Salesforce solutions using real-world scenarios.Purchase of the book unlocks access to web-based exam prep resources like flashcards and a free eBook PDF.¿Key Features:Master each knowledge domain by applying key concepts to a real-world scenarioPut all the skills covered in the book into action with two full mock scenariosGain access to additional online assets including flashcards and exam tipsBook Description:This book is a complete guide to learning essential architectural concepts that'll enable you to deliver secure, high-performant Salesforce solutions and pass the Salesforce CTA review board exam with confidence. This second edition comes with updated content, additional supporting material such as cheat sheets, and detailed practical examples, and helps you learn key soft skills to craft a winning presentation.You'll begin by reviewing vital architectural concepts needed to create a scalable end-to-end Salesforce solution. Next, you'll find out how to identify requirements and break down a problem into smaller, more solvable parts. As you advance, you'll gain practical experience in managing design decisions and defending them using real-world scenarios. The book also helps familiarize you with the correct methodology to structure your solution presentation and the necessary supporting artifacts. Finally, you'll practice providing solutions for two full hypothetical scenarios and structuring your playback step by step.By the end of this Salesforce book, you'll be able to design a highly scalable Salesforce solution and create suitable material to comfortably explain the end-to-end solution to the CTA review board and potentially your customer, and have a higher chance of passing.What You Will Learn:Explore core architectural concepts essential for any Salesforce architectUnderstand Salesforce knowledge domains using practical examplesPractice creating solutions using scenarios focusing on particular knowledge domainsDiscover key artifacts needed to document and explain an end-to-end solutionApply data life cycle management effectively in the Salesforce ecosystemDesign appropriate enterprise integration interfaces to build your connected solutionKnow what to expect on the day of the review board along with valuable tips and tricksWho this book is for:This book is for Salesforce architects who want to design secure, performant, and scalable technical solutions for their organizations and ultimately become Salesforce Certified Technical Architects. A solid understanding of the Salesforce platform is required, ideally combined with three to five years of practical experience as an application architect, system architect, enterprise architect, or solution architect.
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