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Although deservedly popular and highly performant tools for building modern web applications, React and single-page applications (SPAs) become more and more sluggish as your applications and teams grow. To solve this problem, many large web apps have started to break down monolith SPAs into independently deployable smaller apps and components—a pattern called micro frontends. But micro frontends aren't a perfect solution, but rather a double-edged sword. This book teaches you how to architect and build them with the right principles to reap all the benefits without the pitfalls.This book will take you through two patterns of building micro frontends, the multi-SPA pattern and the micro apps pattern. You’ll find out which patterns to use and when, as well as take a look at the nuances of deploying these micro frontends using cloud-native technologies such as Kubernetes and Firebase. With the help of this book, you’ll gain an in-depth understanding of state management, solving problems with routing, and deployment strategies between the different micro frontends.By the end of this book, you’ll have learned how to design and build a React-based micro frontend application using module federation and deploy it to the cloud efficiently.
Yuxi (Hayden) Liu, Saransh Mehta
Deep learning architectures are composed of multilevel nonlinear operations that represent high-level abstractions; this allows you to learn useful feature representations from the data. This book will help you learn and implement deep learning architectures to resolve various deep learning research problems.Hands-On Deep Learning Architectures with Python explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations and ideas to help you build efficient artificial intelligence systems (AI), this book will help you learn how neural networks play a major role in building deep architectures. You will understand various deep learning architectures (such as AlexNet, VGG Net, GoogleNet) with easy-to-follow code and diagrams. In addition to this, the book will also guide you in building and training various deep architectures such as the Boltzmann mechanism, autoencoders, convolutional neural networks (CNNs), recurrent neural networks (RNNs), natural language processing (NLP), GAN, and more—all with practical implementations.By the end of this book, you will be able to construct deep models using popular frameworks and datasets with the required design patterns for each architecture. You will be ready to explore the potential of deep architectures in today's world.
Konrad Cłapa, Brian Gerrard, Yujun Liang
Google Cloud Platform (GCP) is one of the industry leaders thanks to its array of services that can be leveraged by organizations to bring the best out of their infrastructure. This book is a comprehensive guide for learning methods to effectively utilize GCP services and help you become acquainted with the topics required to pass Google's Professional Cloud Architect certification exam.Following the Professional Cloud Architect's official exam syllabus, you'll first be introduced to the GCP. The book then covers the core services that GCP offers, such as computing and storage, and takes you through effective methods of scaling and automating your cloud infrastructure. As you progress through the chapters, you'll get to grips with containers and services and discover best practices related to the design and process. This revised second edition features new topics such as Cloud Run, Anthos, Data Fusion, Composer, and Data Catalog.By the end of this book, you'll have gained the knowledge required to take and pass the Google Cloud Certification – Professional Cloud Architect exam and become an expert in GCP services.
An understanding of how digital forensics integrates with the overall response to cybersecurity incidents is key to securing your organization's infrastructure from attacks. This updated second edition will help you perform cutting-edge digital forensic activities and incident response.After focusing on the fundamentals of incident response that are critical to any information security team, you’ll move on to exploring the incident response framework. From understanding its importance to creating a swift and effective response to security incidents, the book will guide you with the help of useful examples. You’ll later get up to speed with digital forensic techniques, from acquiring evidence and examining volatile memory through to hard drive examination and network-based evidence. As you progress, you’ll discover the role that threat intelligence plays in the incident response process. You’ll also learn how to prepare an incident response report that documents the findings of your analysis. Finally, in addition to various incident response activities, the book will address malware analysis, and demonstrate how you can proactively use your digital forensic skills in threat hunting.By the end of this book, you’ll have learned how to efficiently investigate and report unwanted security breaches and incidents in your organization.
Extensively revised to accommodate all the latest features that come with C# 10 and .NET 6, this latest edition of our comprehensive guide will get you coding in C# with confidence.You’ll learn object-oriented programming, writing, testing, and debugging functions, implementing interfaces, and inheriting classes. The book covers the .NET APIs for performing tasks like managing and querying data, monitoring and improving performance, and working with the filesystem, async streams, and serialization. You’ll build and deploy cross-platform apps, such as websites and services using ASP.NET Core.Instead of distracting you with unnecessary application code, the first twelve chapters will teach you about C# language constructs and many of the .NET libraries through simple console applications. In later chapters, having mastered the basics, you’ll then build practical applications and services using ASP.NET Core, the Model-View-Controller (MVC) pattern, and Blazor.