Bøger udgivet af BPB Publications

All you need to become Server+ certified!¿DESCRIPTION This book highlights, in simple language, the hardware, software, security, and administrative technologies readers should know to pass the CompTIA Server+ exam.This book starts with hardware architectures, and then inspects RAID configurations, SAN/NAS technologies, and maintenance tasks. It will simplify Windows Server, Linux distributions, and macOS Server, from installation to user management and service configuration. This book will also uncomplicate IP addressing, subnetting, VLANs, and virtualization with Hyper-V, VMware, and KVM. Through this book, the readers can implement robust security measures with encryption, access control, intrusion detection/prevention, and disaster recovery strategies. They can use scripts to automate, learn asset management techniques, and implement efficient backup and recovery solutions. This book also makes use of systematic methodologies and tools to diagnose and resolve hardware, software, network, and security issues.The Server+ certification indicates employers and the world that you have the skills and knowledge required to perform the duties of a network server administrator. WHAT YOU WILL LEARN¿ Gain the specific knowledge required to pass the CompTIA Server+ exam. ¿ Learn server administration concepts that apply to all systems.¿ Earn an industry recognized credential for server administrators.¿ Learn the specific duties and responsibilities of network server administrators. ¿ Use practice exams to prepare for the Server+ exam. WHO THIS BOOK IS FORWhile the CompTIA Server+ certification recommends that candidates have two to four years of hands-on experience, this book is written at a level that allows IT professionals with less experience to gain the knowledge required to pass the exam and become certified.

Empowering AI innovations: The fusion of microservices and ML¿DESCRIPTION Explore the link between microservices and ML in Microservices for Machine Learning. Through this book, you will learn to build scalable systems by understanding modular software construction principles. You will also discover ML algorithms and tools like TensorFlow and PyTorch for developing advanced models.It equips you with the technical know-how to design, implement, and manage high-performance ML applications using microservices architecture. It establishes a foundation in microservices principles and core ML concepts before diving into practical aspects. You will learn how to design ML-specific microservices, implement them using frameworks like Flask, and containerize them with Docker for scalability. Data management strategies for ML are explored, including techniques for real-time data ingestion and data versioning. This book also addresses crucial aspects of securing ML microservices and using CI/CD practices to streamline development and deployment. Finally, you will discover real-world use cases showcasing how ML microservices are revolutionizing various industries, alongside a glimpse into the exciting future trends shaping this evolving field.Additionally, you will learn how to implement ML microservices with practical examples in Java and Python. This book merges software engineering and AI, guiding readers through modern development challenges. It is a guide for innovators, boosting efficiency and leading the way to a future of impactful technology solutions.WHAT YOU WILL LEARN¿ Master the principles of microservices architecture for scalable software design.¿ Deploy ML microservices using cloud platforms like AWS and Azure for scalability. ¿ Ensure ML microservices security with best practices in data encryption and access control.¿ Utilize Docker and Kubernetes for efficient microservice containerization and orchestration.¿ Implement CI/CD pipelines for automated, reliable ML model deployments. WHO THIS BOOK IS FORThis book is for data scientists, ML engineers, data engineers, DevOps team, and cloud engineers who are responsible for delivering real-time, accurate, and reliable ML models into production.

Metaverse: A result of natural evolution of technology and human interactionsDESCRIPTION The metaverse has been a topic of conversation for a long time, but it still remains loosely defined. Some see it as a game in the virtual world, while others see it as a more connected version of the real world. It has also been touted as the next internet. However, it is important to separate hype from reality and identify the business opportunities while also covering the pitfalls of the metaverse. As technology and human interactions continue to evolve, it is important to learn how we can play our part responsibly in adapting to newer technology. This book is a comprehensive guide to the metaverse, providing readers with a deep understanding of its definition and origin. This book also aims to provide insights that distinguish between exaggerated expectations and genuine opportunities of metaverse to build a balanced and informed perspective on its promises.This book covers standards and practices to help navigate the challenges and opportunities of metaverse. It emphasizes the importance of collective responsibility of industry, academia, governing body, and other stakeholders involved in shaping the direction of the metaverse. Ultimately, this book aims to raise awareness and encourage the responsible and sustainable use of technology.WHAT YOU WILL LEARN¿ Gain a comprehensive understanding of the metaverse evolution.¿ Define metaverse and separate the myths from reality.¿ Explore potential metaverse use cases in various business domains.¿ Understand adoption challenges and concerns of the metaverse.¿ Learn about tools, techniques, and considerations for metaverse development.¿ Lay down the action plan to build responsible and sustainable metaverse.WHO THIS BOOK IS FORThis book is for the students, technology and business enthusiasts who want to understand the evolution of technologies and how it is shaping up the next internet; the metaverse.

Communication is simple if you know the right way¿DESCRIPTION This book will cover different concepts of inter-service communication. They will be demonstrated through the Go programming language, its standard library, and popular third-party packages for concepts.Begin by understanding basic concepts such as clients, servers, and communication methods. Explore RESTful APIs and HTTP, the backbone of many systems. Learn about protocol buffers and gRPC for efficient data exchange. For asynchronous communication, discover message queuing with RabbitMQ and event-driven patterns with Redis. Lastly, explore event-driven architecture (EDA) and Apache Kafka for implementing this style of communication.After reading this book, a reader can determine which communication concept is most suitable for the software solution based on software solution requirements. WHAT YOU WILL LEARN¿ Decide which inter-service communication concept is most suitable for a particular software solution.¿ Implement different communication approaches with the Go programming language.¿ Utilize implementations from the Go's standard library and third-party packages.¿ Use API design best practices.¿ Avoid issues that can arise from the wrong choice of communication concept.WHO THIS BOOK IS FORIt caters to developers, software engineers, and architects looking to master inter-service communication for their Go projects.

Crack the exam and become an expert in provisioning, operating, and managing distributed application systems on the AWS platformDESCRIPTION The AWS DevOps Engineer Professional Certification Guide is highly challenging and can significantly boost one's career. It features scenario-based questions with lengthy descriptions, making comprehension tough. This book focuses extensively on AWS Developer Tools, CloudFormation, Elastic Beanstalk, OpsWorks, and other crucial topics, representing the exam's domain.The readers can easily prepare for the AWS Certified DevOps Engineer - Professional exam with this guide drafted with a focus on managing infrastructure and applications on AWS. It covers secure version control with CodeCommit, automated code building with CodeBuild, and streamlined updates with CodeDeploy and CodePipeline. You will learn to create secure CI/CD pipelines and define AWS infrastructure and applications with CloudFormation. The readers will explore the management of multiple AWS accounts, security tools, and automation with OpsWorks and Elastic Beanstalk. You will also discover strategies for scalability, disaster recovery, monitoring with CloudWatch, and performance analysis with Kinesis Data Streams. Finally, you will learn to implement automated responses and security best practices with AWS Config and Inspector.Successfully passing this exam will help you gain advanced technical skills needed to become a DevOps subject matter expert and earn a good remuneration in the IT industry.WHAT YOU WILL LEARN¿ Set up automated code building, testing, and deployment.¿ Automate the configuration and deployment in AWS for efficiency.¿ Design infrastructure and applications on AWS that handle high traffic and unexpected situations.¿ Gain insights into infrastructure and application performance on AWS with advanced monitoring tools.¿ Learn about best practices for securing infrastructure and applications on AWS, like access control, encryption, vulnerability scanning, and incident response procedures.WHO THIS BOOK IS FORThis book is ideal for IT professionals, like cloud engineers, DevOps engineers, and system administrators, who want to build and manage secure, scalable websites on AWS. It equips them with the knowledge to become a certified AWS DevOps Engineer - Professional.

Unlock the secrets of cloud-native success with step-by-step recipes for conquering every stage of microservice deployment¿DESCRIPTION The convergence of microservices and cloud technology represents a significant paradigm shift in software development. To fully leverage the potential of both, integration from the outset of application development is crucial. Cloud-native microservices cookbook serve as a conduit, harmonizing disparate elements of microservice construction by establishing a cohesive framework from inception to deployment.This book meticulously outlines the various stages involved in launching an application utilizing cloud-native microservices. It commences with the foundational aspects of application development, emphasizing microservice architecture principles such as configuration and service discovery, considering cloud infrastructure. Progressing through containerization, continuous integration (CI), and continuous deployment (CD) pipelines, the book explores the intricacies of orchestration, high availability (HA), auto scalability, and cloud security. Subsequently, it elucidates the significance of observability in monitoring microservices post-deployment, concluding with a comprehensive exploration of Infrastructure as Code (IaC) for cloud infrastructure provisioning.Explore cloud-native microservices basics using real-world examples from the finance sector. Follow curated recipes from concept to cloud deployment for a clear understanding and smooth application development.WHAT YOU WILL LEARN¿ Practical methodology encompassing the development, testing, building, containerization, and orchestration of microservices.¿ Software development, spanning from initial design to cloud hosting.¿ Achieve microservice auto scalability and high availability.¿ Utilizing cloud services and experimenting with newfound services confidently.¿ Meticulously track cloud expenditures, alleviating any apprehension surrounding cost management. WHO THIS BOOK IS FORThe book is ideal for software developers, solution designers, and DevOps engineers with a foundational understanding of programming concepts and professionals seeking to deepen their expertise in system architecture and full-stack development within cloud environments.

Mastering the Python fundamentals with practical examples¿DESCRIPTION The basics of Python are the book's main focus. With practical examples, students will understand the fundamentals of Python. This book is designed in a way that should make every example understandable to the readers. In addition, from the perspective of a competitive examination, the book offers multiple-choice questions, true/false questions, and practical solved exercises.Through this book, the readers will be able to learn Python basics. This includes setting up your environment and manipulating data. Additionally, they will also learn how to master control flow with conditional statements and loops for more responsive programs and utilize functions for organizing code and file handling to work with local data. Learners will also explore object-oriented programming (OOP) and essential libraries like NumPy for advanced programming.This edition brings a new horizon of NumPy and Tkinter for numerical computing tasks like array manipulations, tackling complex problems, and building user-friendly applications with interactive graphical interfaces, respectively.From every chapter, the reader will learn the programming fundamentals and will be able to execute the programs on their own.WHAT YOU WILL LEARN¿ Install and run Python programs, understand variables, user input, and operators.¿ Organize code and improve reusability by defining and using functions.¿ Store and manage data efficiently using lists, tuples, and dictionaries.¿ Organize data effectively using iterators and generators for memory optimization.¿ Gracefully handle errors and exceptions to improve program robustness. WHO THIS BOOK IS FORThis book is intended for students who are new to the study of Python. Additionally, it benefits those enrolled in diploma-level studies or pursuing undergraduate studies or a master's degree at state universities or colleges.

Deploy and manage Kubernetes like a pro on all the public clouds!DESCRIPTION This book equips you with the knowledge and skills to leverage the strengths and unique features offered by various cloud providers. It enables you to design a cohesive deployment strategy that spans multiple cloud platforms.You will learn how to deploy Kubernetes across multiple clouds with this guide. It will help you plan your project, including team needs, and costs. While seeing the pros and cons of this approach, you will also explore different designs for stateful and stateless applications, using a global service mesh (Istio) to connect them. Understanding how service mesh works and how to keep it secure, is also one of the objectives of this book. After reading this book, you will discover GitOps for easy workload and policy deployment across many clusters and use open-source tools to monitor and see everything. This will help you create a strong security plan using the "4 C's" framework and zero trust principles. Finally, this book will aid in applying your knowledge to real-world examples by deploying a highly available application on a multi-cloud Kubernetes platform using tools like EKS and GKE.By the end of this book, you will be a capable multi-cloud Kubernetes architect who can build teams and plan projects, knowing the pros and cons of different cloud setups.WHAT YOU WILL LEARN¿ Design and deploy Kubernetes clusters across multiple cloud providers.¿ Build stateful and stateless workloads seamlessly.¿ Utilize service meshes to facilitate efficient and secure communication between services.¿ Implement GitOps to automate deployments and enforce consistent policies.¿ Monitor and observe to proactively identify and resolve infrastructure issues.WHO THIS BOOK IS FORThis book is suitable for DevOps specialists, infrastructure engineers, cloud architects, and anyone who has a fundamental grasp of Kubernetes and containerization and wants to learn about multi-cloud Kubernetes.

JaagoTeens' cyber safety guide¿¿DESCRIPTION This book is a step-by-step guide that handholds you through all the essential aspects of internet safety. The content is presented in a simple and easy-to-understand manner. True incidents, practical tips, survey results, conversation starters, and teaching ideas given in the book, make the reading experience truly enriching.It covers various aspects of online safety, including understanding trends and security measures in digital payments (focusing on India), exploring cybersecurity challenges, and identifying and avoiding online scams. It emphasizes practical strategies for safe online behavior, such as balancing online and physical life, using digital platforms responsibly, and protecting oneself from online threats like cyberbullying and online predators.The book also addresses legal aspects like reporting cybercrime and understanding the relevant laws, highlights the importance of ethical online behavior regarding content creation, and explores how Artificial Intelligence contributes to safety in both the real and online world.WHAT YOU WILL LEARN¿ Protecting your money online.¿ Ensuring online safety for children.¿ Safeguarding personal information.¿ Process for lodging complaints with the cyber police.¿ Understanding cyber laws and regulations.WHO THIS BOOK IS FORAnyone who owns a smartphone and does not want to be a victim of online scams.

The key to event-driven architecture: A beginner's journey with RabbitMQ and .NET¿DESCRIPTION By using .NET and RabbitMQ, developers can take advantage of the capabilities of both technologies to create event-driven systems that are optimized for performance and maintainability. This book aims to provide a comprehensive guide for individuals who wish to learn the implementation of event-driven architecture using .NET and RabbitMQ, from understanding the core concepts to implementing practical solutions.It covers the fundamental concepts of event-driven architecture, including the publish-subscribe pattern and message queues, as well as practical implementation details such as setting up RabbitMQ and using .NET to build event-driven systems. The book also covers advanced topics such as scalability, reliability, and security, and includes real-world case studies to illustrate the challenges and solutions involved in implementing event-driven architecture.Throughout the book, readers will learn about the concepts, tools, and techniques needed to design, implement and maintain an event-driven system using .NET and RabbitMQ. Additionally, readers will also get an understanding of how to address the challenges that arise while implementing such systems and best practices to overcome them.WHAT YOU WILL LEARN¿ Architect robust event-driven solutions using RabbitMQ and .NET.¿ Implement scalable and efficient distributed systems with confidence.¿ Apply best practices for seamless integration and software development.¿ Navigate complex decision-making processes in distributed solution strategies.¿ Enhance expertise in orchestrating solutions for diverse software development roles.WHO THIS BOOK IS FORThis guide is meticulously crafted to cater to a diverse audience, encompassing solution architects, integration architects, consultants, developers, advisors, CTOs, and other decision-makers.

Your practical handbook for securing cloud-native applications¿DESCRIPTION Security for cloud-native applications is an overview of cloud-native application's characteristics from a security point of view, filled with best practices for securing services based on AWS, Azure, and GCP infrastructure.This book is a practical guide for securing cloud-native applications throughout their lifecycle. It establishes foundational knowledge of cloud services and cloud-native characteristics. It focuses on securing design approaches like APIs, microservices, and event-driven architectures. Specific technologies like containers, Kubernetes, and serverless functions are covered with security best practices. The book emphasizes integrating security throughout development using CI/CD pipelines and IaC tools. It explores policy as code for enforcing security policies and immutable infrastructure for enhanced security posture. Key management and threat detection strategies are also covered. Finally, the book offers a practical example and resources for further learning.By the end of the book, the reader will be able to design and secure modern applications using the public cloud scale, managed services, automation, and built-in security controls.WHAT YOU WILL LEARN¿ How to secure modern design architectures from APIs, event-driven architectures, and microservices.¿ How to secure applications using containers and the Kubernetes platform.¿ How to secure applications using serverless/function-as-a-service.¿ How to implement key and secrets management as part of cloud-native applications.¿ How to implement the 12-factor application methodology and immutable infrastructure in cloud-native applications.WHO THIS BOOK IS FORThis book is for security professionals, software development teams, DevOps and cloud architects, and all those who are designing, maintaining, and securing cloud-native applications.

Unlocking Web3: Build the Future of the Internet, Today!¿DESCRIPTION This book offers a clear, easy-to-understand introduction to the core concepts of Web3 and blockchain technology, setting the stage for anyone looking to dive into the development of decentralized applications (dApps). With a focus on Ethereum blockchain, node infrastructure, wallets, and key management, it lays the essential groundwork for secure and efficient Web3 development.This book explores Web3, a decentralized web powered by blockchain technology. Discover Ethereum's role and tools for building Web3 apps as you dive into DeFi, NFTs, and deploying apps across blockchains. After reading this book, you will be able to unveil the potential of AI integration in Web3. Imagine a web where control is not centralized but distributed across many computers. You will learn Ethereum basics, transaction processing, and node functions. You will be able to securely manage digital assets with crypto wallets and utilize tools like Truffle and Hard Hat for smart contract development. The book teaches how to deploy apps across blockchain networks and understand AI's role in enhancing Web3.Whether you are aiming to transition into Web3 development or looking to deepen your existing skills, this book offers invaluable insights into the latest technologies and trends. WHAT YOU WILL LEARN¿ Grasp the fundamentals of Web3 and blockchain technology clearly.¿ Develop secure, efficient decentralized applications using Ethereum.¿ Utilize essential tools and frameworks for Web3 development.¿ Implement advanced security measures to protect your dApps.¿ Integrate generative AI, like ChatGPT, into Web3 projects.¿ Explore DeFi and NFT markets for innovative dApp creation.WHO THIS BOOK IS FORThis book is tailored for aspiring Web3 developers, software engineers looking to transition into the blockchain space, and tech enthusiasts eager to explore decentralized applications.

Building tomorrow, today: Seamless integration, continuous deliverDESCRIPTION As software complexity grows, quality and delivery speed increasingly rely on automated pipelines. This practical guide equips readers to construct robust CI/CD workflows that boost productivity and reliability. Step-by-step walkthroughs detail the technical implementation of continuous practices, while real-world case studies showcase solutions tailored for diverse systems and organizational needs.Master CI/CD, crucial for modern software development, with this book. It compares traditional versus test-driven development, stressing testing's importance. In this book, we will explore CI/CD's principles, benefits, and DevOps integration. We will build robust pipelines covering containerization, version control, and infrastructure as code. Through this book, you will learn about effective CD with monitoring, security, and release management, you will learn how to optimize CI/CD for different scenarios and applications, emphasizing collaboration and automation for success.With actionable best practices grounded in TDD principles, this book teaches how to leverage automated processes to cultivate shared ownership, design simplicity, comprehensive testing, and ultimately deliver exceptional business value.WHAT YOU WILL LEARN● Construct smooth automated CI/CD pipelines tailored for complex systems.● Master implementation strategies for diverse development environments.● Design comprehensive test suites leveraging leading tools and frameworks.● Instill a collaborative culture grounded in TDD values for ownership and simplicity.● Optimize release processes for efficiency, quality, and business alignment. WHO THIS BOOK IS FORThis book is ideal for software engineers, developers, testers, and technical leads seeking to improve their CI/CD proficiency. Whether you are starting to explore the tool or looking to deepen your understanding, this book is a valuable resource for anyone eager to learn and master the technology.

PostgreSQL 15 is a powerful, open-source database system known for its reliability, flexibility, and advanced features. It stores and manages data efficiently, making it ideal for everything from personal projects to large-scale applications. Get started with installation, configuration, and user management. Learn the basics of tables, views, and functions. Deploy your database securely on AWS, migrate seamlessly from other systems, and explore replication for high availability. Write efficient SQL queries, optimize performance, and safeguard your information with backups and recovery techniques. Control user access, implement robust security measures, and monitor your database health for proactive troubleshooting. Solve common errors and optimize performance, Practical tips and real-world scenarios provide a hands-on learning experience, making it easy to apply new knowledge.

Transform your business landscape with the formidable prowess of large language models (LLMs). The book provides you with practical insights, guiding you through conceiving, designing, and implementing impactful LLM-driven applications. This book explores NLP fundamentals like applications, evolution, components and language models. It teaches data pre-processing, neural networks, and specific architectures like RNNs, CNNs, and transformers. It tackles training challenges, advanced techniques such as GANs, meta-learning, and introduces top LLM models like GPT-3 and BERT. It also covers prompt engineering. Finally, it showcases LLM applications and emphasizes responsible development and deployment.

This book approaches data science solution building using a principled framework and case studies with extensive hands-on guidance. It will teach the readers optimization at each step, whether it is problem formulation or hyperparameter tuning for deep learning models. This book keeps the reader pragmatic and guides them toward practical solutions by discussing the essential ML concepts, including problem formulation, data preparation, and evaluation techniques. Further, the reader will be able to learn how to apply model optimization with advanced algorithms, hyperparameter tuning, and strategies against overfitting. They will also benefit from deep learning by optimizing models for image processing, natural language processing, and specialized applications. The reader can put theory into practice with hands-on case studies and code examples, reinforcing their understanding.

"Modern Data Mining with Python" is a guidebook for responsibly implementing data mining techniques that involve collecting, storing, and analyzing large amounts of structured and unstructured data to extract useful insights and patterns. Enter into the world of data mining and machine learning. Use insights from various data sources, from social media to credit card transactions. Master statistical tools, explore data trends, and patterns. Understand decision trees and artificial neural networks (ANNs). Manage high-dimensional data with dimensionality reduction. Explore binary classification with logistic regression. Spot concealed patterns with unsupervised learning. Analyze text with recurrent neural networks (RNNs) and visuals with convolutional neural networks (CNNs). Ensure model compliance with regulatory standards.

This book offers a comprehensive guide to implementing Zero-Trust security principles, cloud-based defenses, and robust application development practices. Through practical examples and expert advice, readers will gain the skills needed to design and develop secure Java applications that easily can tackle today's cyber threats. It builds focus on securing your source code through analysis, vulnerability detection, and automation. It also ensures the safety of your runtime environment for managing traffic and enables multi-factor authentication. While addressing data security concerns with encryption, anonymization, and cloud-based solutions, it also uses tools like OpenTelemetry for real-time threat detection. It manages sensitive information securely with Vault integration and explores passwordless authentication. Reference architectures, secure coding patterns, and automation practices are also provided to aid implementation.

This book covers transformer architecture for various applications including NLP, computer vision, speech processing, and predictive modeling with tabular data. It is a valuable resource for anyone looking to harness the power of transformer architecture in their machine learning projects. The book provides a step-by-step guide to building transformer models from scratch and fine-tuning pre-trained open-source models. It explores foundational model architecture, including GPT, VIT, Whisper, TabTransformer, Stable Diffusion, and the core principles for solving various problems with transformers. The book also covers transfer learning, model training, and fine-tuning, and discusses how to utilize recent models from Hugging Face.

Network forensics is a rapidly growing field with a high demand for skilled professionals. This book provides a comprehensive guide on the subject, covering everything from the fundamentals to advanced topics such as malware analysis and cyber attack investigation. Written by a seasoned expert with over 15 years of experience, this hands-on guide includes practical exercises in offensive security, Windows internals, reverse engineering, and cyber forensics. The book begins with the basics of network forensics, including concepts like digital evidence, network traffic analysis, and log analysis. It teaches you how to identify intrusion attempts, mitigate cyber incidents, and investigate complex cyber attacks. As you progress through the book, you will learn more advanced topics such as malware analysis, reverse engineering, and memory forensics. You will also learn how to use network forensics tools and techniques to investigate real-world incidents. This book concludes with a discussion of the career opportunities available in network forensics and teaches you how to find a job in the field and develop your skills.

Java Persistence with NoSQL is a comprehensive guide that offers a unique blend of theoretical knowledge and practical implementation, making it an invaluable resource for those seeking to excel in their roles. The book is divided into four parts, covering essential NoSQL concepts, Java principles, Jakarta EE integration, and the integration of NoSQL databases into enterprise architectures. Readers will explore NoSQL databases, comparing their strengths and use cases. They will then master Java coding principles and design patterns necessary for effective NoSQL integration. The book also discusses the latest Jakarta EE specifications, enhancing readers' understanding of Jakarta's role in data storage and retrieval. Finally, readers will learn to implement various NoSQL databases into enterprise-grade solutions, ensuring security, high availability, and fault tolerance.

Big data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications. It will help you understand the different analysis types like descriptive, predictive, and prescriptive. Learn about NoSQL databases and their benefits over SQL. The book centers on Hadoop, explaining its features, versions, and main components like HDFS (storage) and MapReduce (processing). Explore MapReduce and YARN for efficient data processing. Gain insights into MongoDB and Hive, popular tools in the big data landscape.