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Microservices with Spring Boot and Spring Cloud Develop modern, resilient, scalable and highly available apps using microservices with Java, Spring Boot 3.0 and Spring Cloud【電子書籍】[ Tejaswini Jog ]

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<p><strong>DESCRIPTION</strong></p> <p>Microservices has emerged as a powerful solution to build flexible, scalable, and resilient applications. This Book is the go-to-guide to understanding, designing, and implementing microservice architectures using Spring Boot. It takes you on a journey through the intricacies of microservices to create robust and efficient microservice-based applications.</p> <p>This book helps you to understand the motivations and the entire process behind migrating from monolithic to microservice architectures. It covers essentials like REST basics, advanced topics such as centralized configuration, inter-service communication, Eureka Server, resilience mechanisms, security, and Docker deployment.</p> <p>Readers will be equipped to effortlessly find and access instances within a microservice architecture without disrupting clients. You will delve into distributed tracing and its importance in monitoring the interactions among microservices. Finally, we will discuss strategies for ensuring the reliability of your microservices architecture.</p> <p>Whether you're new to microservices or seeking to enhance your existing expertise, this book is your comprehensive guide to navigating the intricacies of modern application development. Embark on your microservices journey today and unlock the potential of Spring Boot in crafting efficient, scalable, and resilient software solutions.</p> <p><strong>TABLE OF CONTENTS</strong></p> <ol> <li> <p>The Foundation</p> </li> <li> <p>Decipher the unintelligible</p> </li> <li> <p>Scale it down</p> </li> <li> <p>Reflective Composition</p> </li> <li> <p>Liaison among services</p> </li> <li> <p>Location Transparency</p> </li> <li> <p>Gateway API Services</p> </li> <li> <p>Observability</p> </li> <li> <p>Reliability</p> </li> <li> <p>Keep It safe</p> </li> <li> <p>Deployment</p> </li> </ol> <p>Appendix 1</p> <p>Appendix 2</p> <p>Index</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 3,517円

Build Your Own IoT Platform Develop a Flexible and Scalable Internet of Things Platform【電子書籍】[ Anand Tamboli ]

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<p>Every solution that is in some way related to the IoT needs a platform; learn how to create that platform with us. This book is about being agile and reducing your time to market without breaking the bank. It is about designing something that can scale incrementally without rework and potentially disrupting the current work.</p> <p>So, the key questions are: What does it take? How long does it take? And, how much does it take to build your own IoT platform? This book answers these questions and provides you with step-by-step guide to building your own IoT platform.</p> <p>In this book, the author highlights what the core of an IoT platform looks like. There are always some must-haves and some nice-to-haves. This book distinguishes the two and focuses on building the must-haves. Building your IoT platform is not only the most significant cost-saver but can also be a satisfying learning experience. This edition will extend your work with a sample project to clarify the conceptsand show you the possibilities. Additional chapters will also shed some light on the hardware interface and considerations.</p> <p><strong>What You Will Learn</strong></p> <p>・ Master how to architect an interconnected system and develop a flexible platform architecture</p> <p>・ Understand how to prioritize system requirements with a bottom-up approach</p> <p>・ Design and build a robust IoT communications platform</p> <p>・ Create an end-to-end application using guidelines in this book</p> <p><strong>Who Is This Book For</strong></p> <p>IoT developers with basic-to-intermediate programming skills, small business owners, as well as entrepreneurs and startup founders would benefit from this book</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 7,292円

Scalable Big Data Architecture A practitioners guide to choosing relevant Big Data architecture【電子書籍】[ Bahaaldine Azarmi ]

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<p>This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.</p> <p><em>Scalable Big Data Architecture</em> covers real-world, concrete industry use cases that leverage complex distributed applications , which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution.</p> <p>When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it’s often necessary to delegate the load to Hadoop or Spark and use the No-SQLto serve processed data in real time.</p> <p>This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on.</p> <p>Traditional data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book helps you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints imposed by dealing with the high throughput of Big data.</p> <p><em>Scalable Big Data Architecture</em> is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a Big Data project and which tools tointegrate into that pattern.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 6,685円

Ultimate Next.js for Modern Web Applications: Master Modern Web Development and Build High-Performance Scalable, SEO-Optimized Applications with Next.js, Typescript and Tailwind CSS【電子書籍】[ Shubham Jain ]

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<p>Master the Art of Building Lightning-Fast and SEO-Friendly Web Applications with Next.js.</p> <p>Key Features</p> <p>● Master Next.js 15 from fundamentals to routing and data fetching to SSR, SSG, and API routes.</p> <p>● Build high-performance, scalable, and SEO-friendly modern web applications with TypeScript and Tailwind CSS.</p> <p>● Follow a complete workflow from setup to testing and deployment on platforms like Vercel and AWS.</p> <p>Book Description</p> <p>Next.js has emerged as the go-to framework for building high-performance, scalable, and SEO-optimized web applications. Ultimate Next.js for Modern Web Applications takes you on a complete, structured journeyーfrom setting up your development environment to mastering the advanced features that make Next.js so powerful.</p> <p>You will explore its file-based routing system, dive deep into data fetching, and learn to implement Server-Side Rendering (SSR) and Static Site Generation (SSG) effectively. As you progress, the book guides you through secure API development, authentication and authorization, as well as state management for complex user interactions.</p> <p>Thus, packed with real-world examples, expert insights, and professional workflows, this book bridges the gap between learning and mastery. You will also gain hands-on experience in optimization, testing, and deployment using platforms like Vercel and AWS. By the end, you will not only know how to build with Next.js but also understand how to engineer production-ready, future-proof web applications with confidence and precision.</p> <p>What you will learn</p> <p>● Harness the power of Next.js, Typescript and Tailwind CSS to extend React and build modern, lightning-fast web applications.</p> <p>● Implement advanced rendering strategies with Server-Side Rendering (SSR), Static Site Generation (SSG), and API Routes.</p> <p>● Integrate TypeScript, authentication, and state management for scalable, maintainable, and secure applications. ● Optimize performance and SEO to deliver blazing-fast, search-friendly user experiences.</p> <p>● Deploy with confidence using proven best practices on platforms like Vercel, AWS, and beyond.</p> <p>● Build and deliver real-world, production-ready projects that showcase your full-stack expertise.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 3,007円

Data Engineering with Google Cloud Platform A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud【電子書籍】[ Adi Wijaya ]

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<p><b>Become a successful data engineer by building and deploying your own data pipelines on Google Cloud, including making key architectural decisions</b></p><h2>Key Features</h2><ul><li>Get up to speed with data governance on Google Cloud</li><li>Learn how to use various Google Cloud products like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream</li><li>Boost your confidence by getting Google Cloud data engineering certification guidance from real exam experiences</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h2>Book Description</h2>The second edition of Data Engineering with Google Cloud builds upon the success of the first edition by offering enhanced clarity and depth to data professionals navigating the intricate landscape of data engineering. Beyond its foundational lessons, this new edition delves into the essential realm of data governance within Google Cloud, providing you with invaluable insights into managing and optimizing data resources effectively. Written by a Data Strategic Cloud Engineer at Google, this book helps you stay ahead of the curve by guiding you through the latest technological advancements in the Google Cloud ecosystem. You’ll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, you’ll explore how to work with cutting-edge tools like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream to perform data governance on datasets. By the end of this book, you'll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices.<h2>What you will learn</h2><ul><li>Load data into BigQuery and materialize its output</li><li>Focus on data pipeline orchestration using Cloud Composer</li><li>Formulate Airflow jobs to orchestrate and automate a data warehouse</li><li>Establish a Hadoop data lake, generate ephemeral clusters, and execute jobs on the Dataproc cluster</li><li>Harness Pub/Sub for messaging and ingestion for event-driven systems</li><li>Apply Dataflow to conduct ETL on streaming data</li><li>Implement data governance services on Google Cloud</li></ul><h2>Who this book is for</h2><p>Data analysts, IT practitioners, software engineers, or any data enthusiasts looking to have a successful data engineering career will find this book invaluable. Additionally, experienced data professionals who want to start using Google Cloud to build data platforms will get clear insights on how to navigate the path. Whether you're a beginner who wants to explore the fundamentals or a seasoned professional seeking to learn the latest data engineering concepts, this book is for you.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 3,616円

Enterprise Applications with C# and .NET Develop robust, secure, and scalable applications using .NET and C# (English Edition)【電子書籍】[ Alexandre F. Malavasi Cardoso ]

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<p>Building enterprise applications is a complex task that requires a comprehensive understanding of the latest technologies and programming languages. C# and .NET are powerful tools that have become increasingly popular in enterprise development. This book will help you build enterprise-grade applications with C# and .NET. It covers a wide range of topics, including the basics of C# programming, advanced concepts such as object-oriented programming, and the use of the .NET platform for building robust and scalable applications. You will also explore the best practices and design patterns for building enterprise applications. By the end of the book, you will be able to create a full enterprise application by applying all the given concepts across the entire book, including TDD, database access, security, authentication, modern architecture, and the new features of C#.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 2,647円

Data Science Solutions with Python Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn【電子書籍】[ Tshepo Chris Nokeri ]

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<p>Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer features, optimize hyperparameters, train and test models, develop pipelines, and automate the machine learning (ML) process.</p> <p>The book covers an in-memory, distributed cluster computing framework known as PySpark, machine learning framework platforms known as scikit-learn, PySpark MLlib, H2O, and XGBoost, and a deep learning (DL) framework known as Keras.</p> <p>The book starts off presenting supervised and unsupervised ML and DL models, and then it examines big data frameworks along with ML and DL frameworks. Author Tshepo Chris Nokeri considers a parametric model known as the Generalized Linear Model and a survival regression model known as the Cox Proportional Hazards model along with Accelerated Failure Time (AFT). Also presented is a binary classification model (logistic regression) and an ensemble model (Gradient Boosted Trees). The book introduces DL and an artificial neural network known as the Multilayer Perceptron (MLP) classifier. A way of performing cluster analysis using the K-Means model is covered. Dimension reduction techniques such as Principal Components Analysis and Linear Discriminant Analysis are explored. And automated machine learning is unpacked.</p> <p>This book is for intermediate-level data scientists and machine learning engineers who want to learn how to apply key big data frameworks and ML and DL frameworks. You will need prior knowledge of the basics of statistics, Python programming, probability theories, and predictive analytics.</p> <p><strong>What You Will Learn</strong></p> <ul> <li>Understand widespread supervised and unsupervised learning, including key dimension reduction techniques</li> <li>Know the big data analytics layers such as data visualization, advanced statistics, predictive analytics, machine learning, and deep learning</li> <li>Integrate big data frameworks with a hybrid of machine learning frameworks and deep learning frameworks</li> <li>Design, build, test, and validate skilled machine models and deep learning models</li> <li>Optimize model performance using data transformation, regularization, outlier remedying, hyperparameter optimization, and data split ratio alteration</li> </ul> <p><strong>Who This Book Is For</strong></p> <p>Data scientists and machine learning engineers with basic knowledge and understanding of Python programming, probability theories, and predictive analytics</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,254円

Build Your Own IoT Platform Develop a Fully Flexible and Scalable Internet of Things Platform in 24 Hours【電子書籍】[ Anand Tamboli ]

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<p>Discover how every solution that is in some way related to the IoT needs a platform and how to create that platform. This book is about being agile and reducing your time to market without breaking the bank. It is about designing something that you can scale incrementally without a lot of rework and potentially disrupting the current work.</p> <p>So, the key questions are: What does it take? How long does it take? And, how much does it take to build your own IoT platform? This book answers these questions and provides you with a step-by-step guidance on how to build your own IoT platform.</p> <p>In this book, the author bursts the bubble and highlights how the core of an IoT platform looks like. There are always some must-haves and some nice-to-haves. This book will distinguish the two and focus on how to build the must-haves. Building your IoT platform is not only the biggest cost saver but can also be a satisfying learning experience. In this edition, we will undertake asample project to further clarify the concepts we learn; additional chapters would show you the hardware interface.</p> <p><strong>What You Will Learn:</strong></p> <p>・ Learn how to architect an interconnected system.</p> <p>・ Learn how to develop flexible architecture.</p> <p>・ Learn to prioritize system requirements with a bottom-up approach.</p> <p>・ Be able to create a redundant communications platform.</p> <p>・ Be able to create an end-to-end application using the guidelines in this book.</p> <p><strong>Who Is This Book For</strong></p> <p>IoT developers with basic-to-intermediate programming skills would benefit from this book.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,254円

Step by Step: Fault-tolerant, Scalable, Secure AWS Web Stack【電子書籍】[ Savitra Sirohi ]

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<p>ABOUT THE BOOK</p> <p>A look at core Amazon Web Services (AWS) services with an emphasis on implementation and skill development. You will start with a simple web application on a single Elastic Cloud Compute (EC2) instance and improve the stack step by step by adding high availability, fault-tolerance, scalability, security and ease of deployment. The book has 8 chapters and a capstone project, code, and commands required for the project are included.</p> <p>You will learn about these AWS services - Elastic Cloud Compute (EC2), Elastic Block Store (EBS), Relational Database Service (RDS), Simple Storage Service (S3), DynamoDB, Identity and Access Management (IAM), ElastiCache, CloudFront, Elastic Beanstalk and Virtual Private Cloud (VPC).</p> <p>You will use these important aspects of AWS:<br /> - Infrastructure: AWS Regions and Availability Zones.<br /> - EC2: Amazon Machine Images, EBS Snapshots, Application Load Balancers, Sticky Sessions, Auto-Scaling Groups.<br /> - RDS: Read Replicas, Multi-AZ Deployment.<br /> - Network: Public and Private Subnets, VPC Service Endpoints, Security Groups, NAT Gateways.<br /> - Security: IAM Roles, IAM policies, S3 bucket policies, S3 Access Control Lists, CloudFront signed URLs.<br /> - App development: AWS SDK.</p> <p>You will implement these AWS best practices:<br /> - Configure separate root and data EBS volumes.<br /> - Create snapshots of EBS data volumes.<br /> - Create Amazon Machine Images of your app servers.<br /> - Use multiple instances and multiple zones.<br /> - Centralize sessions, content and the database.<br /> - Use auto-scaling groups for your app servers.<br /> - Off-load database requests to read replicas or to in-memory databases.<br /> - Use a Content Distribution Network to deliver content to users around the world.<br /> - Use signed URLs when delivering private content.<br /> - Configure security using the principle of least privileges.<br /> - Use an automation platform for frequent deployments.</p> <p>You will understand AWS best practices for typical web app functions:<br /> - Session management.<br /> - Content delivery.<br /> - Content security.<br /> - Databases.</p> <p>AUDIENCE</p> <p>Developers, system administrators or a solutions architects who need to use AWS in their projects, or need to develop, and perhaps showcase, strong skills in this technology. Those preparing for AWS certification exams, and like to learn by doing.</p> <p>REQUIRED SKILLS</p> <p>You will use, modify, and configure a Linux (Ubuntu), Apache, MySQL and PHP app throughout this project. This book assumes you have some familiarity with Linux, SSH, vi (or similar) editors and with Git. PHP skills are NOT required.</p> <p>FROM THE AUTHOR</p> <p>I am AWS certified (Solutions Architect - Associate level) and have over 20 years of experience in IT. I adopted AWS early, back in 2008, when setting up an AWS based SaaS business. As part of this project, I coached, for several years, a team of system admins and developers on this technology. For the last couple of years, I have been teaching a webinar based AWS solutions architecture course. This book has evolved from this long experience using and teaching AWS. I hope you will find it useful.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 752円

Prompt Playbooks for Online Entrepreneurs Constructing Repeatable AI Frameworks for Scalable Solo Business Operations【電子書籍】[ Thalia Brookstone ]

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<p>Behind every efficient solo business operation lies a repeatable systemーand in the age of AI, that system increasingly begins with a well-constructed prompt. Prompt Playbooks for Online Entrepreneurs examines how independent professionals can move beyond ad hoc AI interactions toward deliberate, structured frameworks that produce consistent, high-quality outputs across every core business function. This book explores the underlying mechanics of prompt design as a strategic discipline rather than a technical novelty. It examines how online entrepreneurs can construct reusable AI workflows for content creation, client communication, market research, offer development, and operational decision-makingーrevealing the patterns that separate operators who extract surface-level convenience from those who build genuine systematic leverage. Rather than cataloguing tools or chasing platforms, the book reframes prompt construction as an intellectual skillーone that compounds in value as a solo operator's understanding of their own business deepens. It navigates the tension between flexibility and consistency, exploring how thoughtfully designed prompt frameworks allow a single operator to maintain a coherent brand voice, strategic focus, and operational rhythm without expanding their team. For the online entrepreneur seeking durable operational advantage, this is an exploration of how language, intention, and intelligent systems converge into sustainable business infrastructure.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 1,700円

Advanced ZK-Proofs Theory and Application in Scalable and Private Blockchains【電子書籍】[ Engr. Rajib Mazumder ]

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<p><em>Advanced ZK-Proofs: Theory and Application in Scalable and Private Blockchains</em> by Engr. Rajib Mazumder delves into the revolutionary world of Zero-Knowledge Proofs (ZK-Proofs), exploring their foundational theory and transformative impact on blockchain technology. This comprehensive guide unravels the complex interplay between transparency and privacy in decentralized systems, demonstrating how ZK-Proofs offer a profound solution to critical bottlenecks in scalability and confidentiality.</p> <p>The book begins by meticulously defining the core principles of ZK-Proofs: completeness, soundness, and zero-knowledge, providing a robust theoretical framework. It then traces the historical evolution of ZK-Proof theory, from its cryptographic genesis to its pivotal integration into blockchain applications, highlighting milestones such as the development of non-interactive ZK-Proofs and the advent of zk-SNARKs and zk-STARKs. Readers will gain a deep understanding of mathematical foundations, including discrete logarithms and elliptic curves, and key protocols like Schnorr, Fiat-Shamir, and Sigma.</p> <p>A significant portion of the book is dedicated to advanced ZK-Proof systems, offering a detailed comparison of zk-SNARKs, zk-STARKs, and Bulletproofs. It meticulously examines their trusted setup requirements, efficiency advantages, and practical implications for blockchain use cases. The author also explores cutting-edge research in emerging ZK-Proof constructions, including circuit-agnostic SNARKs like Plonky2 and Halo2, faster STARKs, and quantum-resistant ZK-Proofs, showcasing the dynamic future of the field.</p> <p>Beyond the theoretical underpinnings, <em>Advanced ZK-Proofs</em> illuminates the profound significance of this technology for scalability and privacy in decentralized systems. It explains how ZK-Rollups enable a Layer-2 revolution, drastically increasing transaction throughput, and how ZK-Proofs facilitate unprecedented levels of privacy by shielding sensitive data in transactions and identity verification.</p> <p>Authored by Engr. Rajib Mazumder, a distinguished ICT expert and visionary, this book is an indispensable resource for anyone seeking to master advanced ZK-Proofs. It provides a clear roadmap for developers, researchers, and blockchain enthusiasts, bridging the gap between complex cryptographic theory and practical application. With its detailed analysis, current insights, and forward-looking perspective, <em>Advanced ZK-Proofs</em> promises to equip readers with the knowledge and intuition necessary to navigate and contribute to the rapidly evolving landscape of scalable, private, and truly decentralized blockchain solutions.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 703円

Designing Distributed Systems Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes【電子書籍】[ Brendan Burns ]

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<p>Every distributed system strives for reliability, performance, and quality, but building such a system is hard. Establishing a set of design patterns enables software developers and system architects to use a common language to describe their systems and learn from the patterns and practices developed by others.</p> <p>The popularity of containers and Kubernetes paves the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help guide the systems you build using common patterns and practices drawn from some of the highest performing distributed systems in use today. These common patterns make the systems you build far more approachable and efficient, even if you've never built a distributed system before.</p> <p>Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system.</p> <p>This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.</p> <ul> <li>Understand how patterns and reusable components enable the rapid development of reliable distributed systems</li> <li>Use the sidecar, adapter, and ambassador patterns to split your application into a group of containers on a single machine</li> <li>Explore loosely coupled multinode distributed patterns for replication, scaling, and communication between components</li> <li>Learn distributed system patterns for large-scale batch data processing covering work queues, event-based processing, and coordinated workflows</li> </ul>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,611円

Automated Machine Learning with Microsoft Azure Build highly accurate and scalable end-to-end AI solutions with Azure AutoML【電子書籍】[ Dennis Michael Sawyers ]

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<p><strong>A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming language</strong></p> <h4>Key Features</h4> <ul> <li>Create, deploy, productionalize, and scale automated machine learning solutions on Microsoft Azure</li> <li>Improve the accuracy of your ML models through automatic data featurization and model training</li> <li>Increase productivity in your organization by using artificial intelligence to solve common problems</li> </ul> <h4>Book Description</h4> <p>Automated Machine Learning with Microsoft Azure will teach you how to build high-performing, accurate machine learning models in record time. It will equip you with the knowledge and skills to easily harness the power of artificial intelligence and increase the productivity and profitability of your business.</p> <p>Guided user interfaces (GUIs) enable both novices and seasoned data scientists to easily train and deploy machine learning solutions to production. Using a careful, step-by-step approach, this book will teach you how to use Azure AutoML with a GUI as well as the AzureML Python software development kit (SDK).</p> <p>First, you'll learn how to prepare data, train models, and register them to your Azure Machine Learning workspace. You'll then discover how to take those models and use them to create both automated batch solutions using machine learning pipelines and real-time scoring solutions using Azure Kubernetes Service (AKS).</p> <p>Finally, you will be able to use AutoML on your own data to not only train regression, classification, and forecasting models but also use them to solve a wide variety of business problems.</p> <p>By the end of this Azure book, you'll be able to show your business partners exactly how your ML models are making predictions through automatically generated charts and graphs, earning their trust and respect.</p> <h4>What you will learn</h4> <ul> <li>Understand how to train classification, regression, and forecasting ML algorithms with Azure AutoML</li> <li>Prepare data for Azure AutoML to ensure smooth model training and deployment</li> <li>Adjust AutoML configuration settings to make your models as accurate as possible</li> <li>Determine when to use a batch-scoring solution versus a real-time scoring solution</li> <li>Productionalize your AutoML and discover how to quickly deliver value</li> <li>Create real-time scoring solutions with AutoML and Azure Kubernetes Service</li> <li>Train a large number of AutoML models at once using the AzureML Python SDK</li> </ul> <h4>Who this book is for</h4> <p>Data scientists, aspiring data scientists, machine learning engineers, or anyone interested in applying artificial intelligence or machine learning in their business will find this machine learning book useful.</p> <p>You need to have beginner-level knowledge of artificial intelligence and a technical background in computer science, statistics, or information technology before getting started. Familiarity with Python will help you implement the more advanced features found in the chapters, but even data analysts and SQL experts will be able to train ML models after finishing this book.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,355円

Mastering Delphi Programming: A Complete Reference Guide Learn all about building fast, scalable, and high performing applications with Delphi【電子書籍】[ Primo? Gabrijel?i? ]

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<p><strong>Use structural, behavioral, and concurrent patterns in Delphi to skillfully develop applications</strong></p> <h4>Key Features</h4> <ul> <li>Delve into the core patterns and components of Delphi to enhance your application's design</li> <li>Learn how to select the right patterns to improve your program's efficiency and productivity</li> <li>Discover how parallel programming and memory management can optimize your code</li> </ul> <h4>Book Description</h4> <p>Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for most operating systems, including Microsoft Windows, iOS, and now Linux with RAD Studio 10.2. If you know how to use the features of Delphi, you can easily create scalable applications in no time.</p> <p>This Learning Path begins by explaining how to find performance bottlenecks and apply the correct algorithm to fix them. You'll brush up on tricks, techniques, and best practices to solve common design and architectural challenges. Then, you'll see how to leverage external libraries to write better-performing programs. You'll also learn about the eight most important patterns that'll enable you to develop and improve the interface between items and harmonize shared memories within threads. As you progress, you'll also delve into improving the performance of your code and mastering cross-platform RTL improvements.</p> <p>By the end of this Learning Path, you'll be able to address common design problems and feel confident while building scalable projects.</p> <p>This Learning Path includes content from the following Packt products:</p> <ol> <li>Delphi High Performance by Primo? Gabrijel?i?</li> <li>Hands-On Design Patterns with Delphi by Primo? Gabrijel?i?</li> </ol> <h4>What you will learn</h4> <ul> <li>Understand parallel programming and work with the various tools included with Delphi</li> <li>Explore memory managers and their implementation</li> <li>Leverage external libraries to write better-performing programs</li> <li>Keep up to date with the latest additions and design techniques in Delphi</li> <li>Get to grips with various modern multithreading approaches</li> <li>Break a design problem down into its component parts</li> </ul> <h4>Who this book is for</h4> <p>This Learning Path is for intermediate-level Delphi programmers who want to build robust applications using Delphi features. Prior knowledge of Delphi is assumed.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,510円

Amazon Web Services Bootcamp Develop a scalable, reliable, and highly available cloud environment with AWS【電子書籍】[ Sunil Gulabani ]

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<p>This fast-paced guide will quickly enhance your skills to develop a highly scalable Cloud environment About This Book ? Efficiently build a highly scalable and reliable cloud environment for your applications with AWS ? Leverage the various AWS components and services to build a secure, reliable, and robust environment to host your applications on ? This quick-start guide will quickly enhance your skills to develop highly scalable services Who This Book Is For This book is for IT professionals and system administrators looking to design, deploy, and manage your applications and services on the AWS cloud platform. It's also ideal for developers looking to build highly scalable cloud-based services. A basic understanding of AWS would be beneficial. What You Will Learn ? Find out about IAM to access AWS services securely ? Explore EC2 (virtual server) and scale up/down your application based on heavy traffic ? Learn about unlimited data storage service S3 and host a static website within minutes ? Get to grips with Relational Databases and NoSQL databases under the AWS ecosystem ? Understand the caching mechanism ? Get to know about notifications service and monitor AWS services ? Secure and troubleshoot your AWS architecture In Detail AWS is at the forefront of Cloud Computing today. Businesses are adopting AWS Cloud because of its reliability, versatility, and flexible design. The main focus of this book is teaching you how to build and manage highly reliable and scalable applications and services on AWS. It will provide you with all the necessary skills to design, deploy, and manage your applications and services on the AWS cloud platform. We'll start by exploring Amazon S3, EC2, and so on to get you well-versed with core Amazon services. Moving on, we'll teach you how to design and deploy highly scalable and optimized workloads. You'll also discover easy-to-follow, hands-on steps, tips, and recommendations throughout the book and get to know essential security and troubleshooting concepts. By the end of the book, you'll be able to create a highly secure, fault tolerant, and scalable environment for your applications to run on. Style and approach This book is all about fast and intensive learning. That means we don't waste time helping you get started. The new features provided by AWS resources are being covered with highly-effective examples to develop new things, demonstrating different ways to create and use the AWS resources efficiently.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,073円

Deploying Scalable Systems with Nomad Definitive Reference for Developers and Engineers【電子書籍】[ Richard Johnson ]

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<p>"Deploying Scalable Systems with Nomad"</p> <p>"Deploying Scalable Systems with Nomad" is a comprehensive guide for architects, engineers, and operations professionals seeking to harness HashiCorp Nomad’s powerful orchestration capabilities at scale. This book offers a structured exploration of Nomad’s distributed architecture, detailing job specifications, leader election, scheduling algorithms, and high-availability design. It provides a clear comparative analysis with other orchestrators such as Kubernetes and Mesos, helping readers understand where Nomad’s unique approach excels in both multi-region and federated environments.</p> <p>From cluster lifecycle management to advanced performance tuning, this volume dives deeply into security hardening practicesーcovering TLS, mTLS, and token authenticationーwhile equipping practitioners with best practices for storage, upgrades, and disaster recovery. Readers will gain a mastery of HashiCorp Configuration Language (HCL) job files, dynamic job workflows, nuanced placement and constraint policies, and advanced deployment patterns such as blue-green and canary releases. Complementary integration topics include service discovery with Consul, automated load balancing, zero-trust security models, and secure edge routing.</p> <p>To ensure operational excellence, the book delivers practical strategies for observability, including metrics, tracing, log aggregation, and automated alerting. It addresses scaling strategies, efficient multi-tenancy, operational overhead reduction, and cross-region disaster recovery. Real-world case studies illustrate Nomad’s versatility in multi-cloud, hybrid, IoT, and high-performance computing scenarios, offering both architectural blueprints and incident retrospectives. Whether implementing Infrastructure as Code or navigating regulatory compliance, "Deploying Scalable Systems with Nomad" is an authoritative resource for deploying, optimizing, and future-proofing Nomad-based platforms.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 1,475円

Deploying Bert-serving-server for Scalable NLP The Complete Guide for Developers and Engineers【電子書籍】[ William Smith ]

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<p>"Deploying Bert-serving-server for Scalable NLP"</p> <p>"Deploying Bert-serving-server for Scalable NLP" is a comprehensive technical guide designed for professionals and practitioners seeking to harness the power of BERT models at scale. The book opens with a rigorous examination of BERT’s transformative architecture, modern NLP pipelines, and the complexities of deploying large pretrained language models in real-world environments. Readers are equipped with the essential knowledge to evaluate performance trade-offs, optimize model throughput and latency, and employ transfer learning strategies that tailor BERT for precise industrial tasks. Foundational concerns such as system requirements, dataset considerations, and industry case studies provide vital context for any team aspiring to operationalize advanced language models.</p> <p>Delving into the core of bert-serving-server, the content offers a meticulous breakdown of server design, communication protocols, model integrations, and throughput-maximizing mechanisms like efficient batching and worker pooling. The book guides readers through every layer of production-ready architecture, from high-availability topology design to fault tolerance, autoscaling, secure multi-tenancy, and seamless integration with upstream and downstream systems. Security and compliance are addressed with depth, offering strategies for robust access controls, encrypted communications, resilient API surfaces, and stringent monitoring and audit practices to safeguard both data and infrastructure.</p> <p>Accompanying these technical foundations is a wealth of practical know-how for DevOps and cloud-native operations, including automated Kubernetes deployments, infrastructure-as-code, CI/CD integration, multi-cloud scaling, and cost optimization. Advanced chapters explore custom extensions, domain adaptation, and plugin frameworks, enabling organizations to tailor and expand their serving infrastructure. The book concludes with illuminating case studies and forward-looking analyses, highlighting innovative industry deployments, migration planning, research frontiers, and the critical role of open-source contributions in shaping the future of scalable NLP systems.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 1,469円

Mastering Amazon Redshift Scalable Cloud Data Warehousing【電子書籍】[ Robert Johnson ]

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<p>"Mastering Amazon Redshift: Scalable Cloud Data Warehousing" is an authoritative guide designed for beginners and experienced professionals alike, seeking to harness the full potential of Amazon's leading data warehousing solution. As businesses increasingly rely on robust, scalable data analytics, Redshift stands out with its high-performance capabilities, seamless integration with AWS services, and cost-effectiveness. This book provides a structured, in-depth exploration of Amazon Redshift, covering core concepts from setup and architecture to performance optimization and security best practices.</p> <p>The book begins by establishing a solid foundation in data warehousing principles and Redshift's unique architecture, guiding readers through efficient data modeling and schema design to maximize query performance. It then delves into the practicalities of loading and analyzing large datasets, integrating Redshift with a host of AWS services to extend functionality, and maintaining optimal cluster operations through robust monitoring and maintenance strategies. By offering clear insights into managing security and compliance, as well as innovative integration techniques, this book equips you with the knowledge and tools required to drive data-driven decisions within your organization. Whether you are setting up Redshift for the first time or seeking to refine and expand an existing deployment, this comprehensive resource is your ultimate companion in mastering Amazon Redshift.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 1,437円

Bootstrapping Service Mesh Implementations with Istio Build reliable, scalable, and secure microservices on Kubernetes with Service Mesh【電子書籍】[ Anand Rai ]

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<p><strong>A step-by-step guide to Istio Service Mesh implementation, with examples of complex and distributed workloads built using microservices architecture and deployed in Kubernetes</strong></p> <p><strong>Purchase of the print or Kindle book includes a free PDF eBook</strong></p> <h4>Key Features</h4> <ul> <li>Learn the design, implementation, and troubleshooting of Istio in a clear and concise format</li> <li>Grasp concepts, ideas, and solutions that can be readily applied in real work environments</li> <li>See Istio in action through examples that cover Terraform, GitOps, AWS, Kubernetes, and Go</li> </ul> <h4>Book Description</h4> <p>Istio is a game-changer in managing connectivity and operational efficiency of microservices, but implementing and using it in applications can be challenging. This book will help you overcome these challenges and gain insights into Istio's features and functionality layer by layer with the help of easy-to-follow examples. It will let you focus on implementing and deploying Istio on the cloud and in production environments instead of dealing with the complexity of demo apps.</p> <p>You'll learn the installation, architecture, and components of Istio Service Mesh, perform multi-cluster installation, and integrate legacy workloads deployed on virtual machines. As you advance, you'll understand how to secure microservices from threats, perform multi-cluster deployments on Kubernetes, use load balancing, monitor application traffic, implement service discovery and management, and much more. You'll also explore other Service Mesh technologies such as Linkerd, Consul, Kuma, and Gloo Mesh. In addition to observing and operating Istio using Kiali, Prometheus, Grafana and Jaeger, you'll perform zero-trust security and reliable communication between distributed applications.</p> <p>After reading this book, you'll be equipped with the practical knowledge and skills needed to use and operate Istio effectively.</p> <h4>What you will learn</h4> <ul> <li>Get an overview of Service Mesh and the problems it solves</li> <li>Become well-versed with the fundamentals of Istio, its architecture, installation, and deployment</li> <li>Extend the Istio data plane using WebAssembly (Wasm) and learn why Envoy is used as a data plane</li> <li>Understand how to use OPA Gatekeeper to automate Istio's best practices</li> <li>Manage communication between microservices using Istio</li> <li>Explore different ways to secure the communication between microservices</li> <li>Get insights into traffic flow in the Service Mesh</li> <li>Learn best practices to deploy and operate Istio in production environments</li> </ul> <h4>Who this book is for</h4> <p>The book is for DevOps engineers, SREs, cloud and software developers, sysadmins, and architects who have been using microservices in Kubernetes-based environments. It addresses challenges in application networking during microservice communications. Working experience on Kubernetes, along with knowledge of DevOps, application networking, security, and programming languages like Golang, will assist with understanding the concepts covered.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,073円

Pragmatic Project Management Five Scalable Steps to Success【電子書籍】[ David Pratt PMP ]

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<p><strong>Scale Your Project Management Efforts to Maximize Success!</strong><br /> One size does not fit all in project management. Selecting an approach that is appropriate for the size and complexity of a project is essential to achieving success. Over-managing a small project can bog it down in bureaucracy, while a laid-back approach can lead to disaster on a complex project.<br /> <em><strong>Pragmatic Project Management: Five Scalable Steps to Success</strong></em> will help you select the methodologies and tools that will enable you to expend minimum effort to achieve maximum gain on your project. This clearly written guide lays the groundwork with a chapter on project sizing and management scaling and follows with chapters on each of the five essential elements of pragmatic project management:<br /> ? The project charter<br /> ? The project team<br /> ? The project plan<br /> ? Project issue management<br /> ? Project status tracking and reporting<br /> Practical tips and a checklist are included at the end of each chapter. Use the checklists as you plan and execute your project to keep it <em>on track</em> and <em>to scale</em>.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,300円

Learning Ceph - Second Edition Implement and manage your software-defined, massively scalable storage system【電子書籍】[ Anthony D'Atri ]

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<p><strong>Implement and manage your software-defined, massively scalable storage system</strong></p> <h2>About This Book</h2> <ul> <li>Explore Ceph's architecture in order to achieve scalability and high availability</li> <li>Learn to utilize Ceph efficiently with the help of practical examples</li> <li>Successfully implement Ceph clusters to scale-out storage solutions along with outstanding data protection</li> </ul> <h2>Who This Book Is For</h2> <p>A basic knowledge of GNU/Linux, and storage systems, and server components is assumed. If you have no experience of software-defined storage solutions and Ceph, but are eager to learn about them, this is the book for you.</p> <h2>What You Will Learn</h2> <ul> <li>The limitations of existing systems and why you should use Ceph as a storage solution</li> <li>Familiarity with Ceph's architecture, components, and services</li> <li>Instant deployment and testing of Ceph within a Vagrant and VirtualBox environment</li> <li>Ceph operations including maintenance, monitoring, and troubleshooting</li> <li>Storage provisioning of Ceph's block, object, and filesystem services</li> <li>Integrate Ceph with OpenStack</li> <li>Advanced topics including erasure coding, CRUSH maps, and performance tuning</li> <li>Best practices for your Ceph clusters</li> </ul> <h2>In Detail</h2> <p>Learning Ceph, Second Edition will give you all the skills you need to plan, deploy, and effectively manage your Ceph cluster. You will begin with the first module, where you will be introduced to Ceph use cases, its architecture, and core projects. In the next module, you will learn to set up a test cluster, using Ceph clusters and hardware selection. After you have learned to use Ceph clusters, the next module will teach you how to monitor cluster health, improve performance, and troubleshoot any issues that arise. In the last module, you will learn to integrate Ceph with other tools such as OpenStack, Glance, Manila, Swift, and Cinder.</p> <p>By the end of the book you will have learned to use Ceph effectively for your data storage requirements.</p> <h2>Style and approach</h2> <p>This step-by-step guide, including use cases and examples, not only helps you to easily use Ceph but also demonstrates how you can use it to solve any of your server or drive storage issues.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 6,201円

Practical Machine Learning with H2O Powerful, Scalable Techniques for Deep Learning and AI【電子書籍】[ Darren Cook ]

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<p>Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that’s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.</p> <p>If you’re familiar with R or Python, know a bit of statistics, and have some experience manipulating data, author Darren Cook will take you through H2O basics and help you conduct machine-learning experiments on different sample data sets. You’ll explore several modern machine-learning techniques such as deep learning, random forests, unsupervised learning, and ensemble learning.</p> <ul> <li>Learn how to import, manipulate, and export data with H2O</li> <li>Explore key machine-learning concepts, such as cross-validation and validation data sets</li> <li>Work with three diverse data sets, including a regression, a multinomial classification, and a binomial classification</li> <li>Use H2O to analyze each sample data set with four supervised machine-learning algorithms</li> <li>Understand how cluster analysis and other unsupervised machine-learning algorithms work</li> </ul>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 3,080円

Velocity Capital Tactics: Building Rapid, Structured Pathways to Scalable Wealth A practical system for accelerating income, multiplying assets, and maximizing financial momentum【電子書籍】[ Brianna Lewis ]

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<p>Fast wealth creation isn't about luckーit's about applying precise, repeatable mechanisms that generate financial acceleration. This book breaks down the technical structure behind rapid wealth expansion, explained clearly enough for anyone starting their financial journey. You'll learn how to build high-yield income streams, leverage scalable digital models, and position your money to work harder than you do. This system focuses on risk-aware strategies, compounding processes, and asset-building methods that empower beginners to move decisively and intelligently in a modern financial landscape. With step-by-step frameworks, real-world application scenarios, and clear decision-making principles, this guide transforms complex wealth strategies into accessible, actionable pathways. Master the mechanics of speed, momentum, and strategic financial positioningーand watch your earning capacity expand with purpose and control.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 1,500円

Cortex for Scalable Multi-Tenant Metrics The Complete Guide for Developers and Engineers【電子書籍】[ William Smith ]

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<p>"Cortex for Scalable Multi-Tenant Metrics"</p> <p>In an era defined by rapid digital transformation and exponentially growing data volumes, managing observability at scale has never been more challengingーor more critical. "Cortex for Scalable Multi-Tenant Metrics" provides a comprehensive guide to designing, deploying, and maintaining large-scale, resilient metrics platforms built upon Cortex. Beginning with a foundational overview of metrics evolution and the unique demands of modern multi-tenant environments, this book systematically explores the critical requirements shaping today’s observability stacks. Readers are guided through the landscape of available technologies, with insightful comparisons between Cortex and alternative systems such as Thanos, M3, and VictoriaMetrics, empowering decision-makers and architects to select the best-fit solution for their needs.</p> <p>Structured across detailed chapters, the book demystifies the Cortex architecture, uncovering its microservices ecosystem and the sophisticated mechanisms that enable massive scalability and tenant isolation. From the intricacies of the write and read paths, consistent hash ring, and pluggable storage backends to the advanced security, compliance, and governance strategies required for mission-critical workloads, each concept is anchored in real-world operational guidance. Dedicated sections on multi-tenancy delve into authentication, authorization, per-tenant resource control, and fairness enforcement, ensuring that SaaS providers and platform operators can offer secure, reliable, and performant services to their entire customer base.</p> <p>The practical focus extends to every phase of platform lifecycle managementーdeployment automation, scaling strategies (including Kubernetes), disaster recovery, and cost optimizationーunderpinned by best practices in observability, self-healing, and incident response. "Cortex for Scalable Multi-Tenant Metrics" also looks forward, exploring emerging trends such as unified observability, serverless deployments, AI/ML for metrics management, and hybrid/multi-cloud architectures. Enriched by ecosystem insights and operational case studies from internet-scale Cortex deployments, this book is an essential resource for cloud architects, DevOps engineers, and technology leaders dedicated to operational excellence and future-proofed observability platforms.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 1,475円

Hands-On Automated Testing with Playwright Create fast, reliable, and scalable tests for modern web apps with Microsoft's automation framework【電子書籍】[ Faraz K. Kelhini ]

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<p><b>Launch bulletproof web applications confidently by writing smarter, faster, and more reliable tests using Playwright with this comprehensive guide. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\*</b></p><h2>Key Features</h2><ul><li>Architect resilient test suites using Playwright's advanced APIs</li><li>Optimize performance, parallelism, and debugging for complex apps</li><li>Integrate cross-browser testing into scalable CI/CD workflows</li></ul><h2>Book Description</h2>Hands-On Automated Testing with Playwright draws from Faraz and Butch’s extensive experience to help you harness the full potential of Microsoft's Playwright framework. The book begins with a quick setup refresher, walking you through intermediate and advanced concepts such as dynamic content handling, accessibility testing, AI-generated test scripts, and parallel test execution. You'll explore real-world applications with end-to-end testing workflows for e-commerce and single-page applications. Alongside traditional topics such as accessibility, mobile, and visual regression testing, this book delves into modern trends such as CI/CD pipelines, DevOps integration, and AI-driven testing enhancements. Each chapter is packed with practical examples, expert techniques, and performance optimization tips, helping you gain a deep understanding of maintainable automation strategies. Whether you're transitioning from manual testing or expanding your automation toolbox, this Playwright book provides the skills and confidence to build future-proof testing systems in today's complex web development landscape. \*Email sign-up and proof of purchase required <h2>What you will learn</h2><ul><li>Set up and configure Playwright for cross-browser testing</li><li>Generate and refine AI-powered test scripts</li><li>Perform mobile, accessibility, and visual regression tests</li><li>Debug with Playwright Inspector and Trace Viewer</li><li>Integrate tests into CI/CD with GitHub Actions</li><li>Use page objects and patterns for maintainable code</li><li>Simulate real-world user flows in complex apps</li><li>Optimize performance and parallelize test execution</li></ul><h2>Who this book is for</h2><p>This book is for two main groups. First, web developers and test automation engineers with up to five years of experience in JavaScript or similar languages. If you have a solid grasp of web development and want to adopt or deepen your use of Playwright, you'll find this book beneficial. Second, QA professionals who have basic scripting knowledge and are ready to transition from manual to automated testing. If you want to upskill using Playwright, this book offers clear, relatable examples that bridge manual testing concepts with automation practices.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,304円

Architecting AI Software Systems Crafting robust and scalable AI systems for modern software development【電子書籍】[ Richard D Avila ]

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<p><b>Discover how to design intelligent software systems by balancing AI and traditional architecture. This guide offers a roadmap for robust, scalable AI-enabled systems, blending principles with practical insights.</b></p><h2>Key Features</h2><ul><li>Learn to integrate AI with traditional software architectures, enabling architects to design scalable, high-performance systems</li><li>Explore key tools and processes to mitigate risks in AI-driven system development, ensuring timely project delivery and budget control</li><li>Gain hands-on experience through case studies and exercises, applying architectural concepts to real-world AI systems</li></ul><h2>Book Description</h2>Architecting AI Software Systems provides a definitive guide to building AI-enabled systems, emphasizing the balance between AI’s capabilities and traditional software architecture principles. As AI technologies gain widespread acceptance and are increasingly expected in future applications, this book provides architects and developers with the essential knowledge to stay competitive. It introduces a structured approach to mastering the complexities of AI integration, covering key architectural concepts and processes critical to building scalable and robust AI systems while minimizing development and maintenance risks. The book guides readers on a progressive journey, using real-world examples and hands-on exercises to deepen comprehension. It also includes the architecture of a fictional AI-enabled system as a learning tool. You will engage with exercises designed to reinforce your understanding and apply practical insights, leading to the development of key architectural products that support AI systems. This is an essential resource for architects seeking to mitigate risks and master the complexities of AI-enabled system development. By the end of the book, readers will be equipped with patterns, strategies and concepts necessary to architect AI-enabled systems across various domains.<h2>What you will learn</h2><ul><li>Understand the challenges of building AI-enabled systems and managing risks like underperformance and cost overruns</li><li>Learn architectural tools to design and integrate AI into traditional systems</li><li>Master AI/ML concepts like inference and decision-making and their impact on architecture</li><li>Use architectural models to ensure system cohesion and functionality</li><li>Simulate and optimize AI performance through prototyping and iteration</li><li>Design scalable AI systems using patterns and heuristics</li><li>Integrate AI into large systems with a focus on user experience and performance</li></ul><h2>Who this book is for</h2><p>This book is designed mainly for software and systems architects responsible for designing and integrating AI capabilities into existing and new systems. It also serves as a valuable resource for CTOs, VPs of Engineering, and aspiring architects seeking a comprehensive understanding of the holistic approach to AI system development. Additionally, AI/ML engineers and software developers will benefit from gaining deeper insights into the architectural principles that underpin AI systems, enabling them to align their work with broader architectural goals</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 3,874円

Docker for Data Science Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server【電子書籍】[ Joshua Cook ]

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<p>Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.</p> <p>It is not uncommon for a real-world data set to fail to be easily managed. The set may not fit well into access memory or may require prohibitively long processing. These are significant challenges to skilled software engineers and they can render the standard Jupyter system unusable.</p> <p>As a solution to this problem, <em>Docker for Data Science</em> proposes using Docker. You will learn how to use existing pre-compiled public images created by the major open-source technologiesーPython, Jupyter, Postgresーas well as using the Dockerfile to extend these images to suit your specific purposes. The Docker-Compose technology is examined and you will learn how it can be used to build a linked system with Python churning data behind the scenesand Jupyter managing these background tasks. Best practices in using existing images are explored as well as developing your own images to deploy state-of-the-art machine learning and optimization algorithms.</p> <p><strong>What You'll Learn</strong></p> <ul> <li> <p>Master interactive development using the Jupyter platform</p> </li> <li> <p>Run and build Docker containers from scratch and from publicly available open-source images</p> </li> <li> <p>Write infrastructure as code using the docker-compose tool and its docker-compose.yml file type</p> </li> <li> <p>Deploy a multi-service data science application across a cloud-based system</p> </li> </ul> <p><strong>Who This Book Is For</strong></p> <p>Data scientists, machine learning engineers, artificial intelligence researchers, Kagglers, and software developers</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 7,292円

Learning Scala Programming Object-oriented programming meets functional reactive to create Scalable and Concurrent programs【電子書籍】[ Vikash Sharma ]

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<p>Learn how to write scalable and concurrent programs in Scala, a language that grows with you. About This Book ? Get a grip on the functional features of the Scala programming language ? Understand and develop optimal applications using object-oriented and functional Scala constructs ? Learn reactive principles with Scala and work with the Akka framework Who This Book Is For This book is for programmers who choose to get a grip over Scala to write concurrent, scalable, and reactive programs. No prior experience with any programming language is required to learn the concepts explained in this book. Knowledge of any programming language would help the reader understanding concepts faster though. What You Will Learn ? Get to know the reasons for choosing Scala: its use and the advantages it provides over other languages ? Bring together functional and object-oriented programming constructs to make a manageable application ? Master basic to advanced Scala constructs ? Test your applications using advanced testing methodologies such as TDD ? Select preferred language constructs from the wide variety of constructs provided by Scala ? Make the transition from the object-oriented paradigm to the functional programming paradigm ? Write clean, concise, and powerful code with a functional mindset ? Create concurrent, scalable, and reactive applications utilizing the advantages of Scala In Detail Scala is a general-purpose programming language that supports both functional and object-oriented programming paradigms. Due to its concise design and versatility, Scala's applications have been extended to a wide variety of fields such as data science and cluster computing. You will learn to write highly scalable, concurrent, and testable programs to meet everyday software requirements. We will begin by understanding the language basics, syntax, core data types, literals, variables, and more. From here you will be introduced to data structures with Scala and you will learn to work with higher-order functions. Scala's powerful collections framework will help you get the best out of immutable data structures and utilize them effectively. You will then be introduced to concepts such as pattern matching, case classes, and functional programming features. From here, you will learn to work with Scala's object-oriented features. Going forward, you will learn about asynchronous and reactive programming with Scala, where you will be introduced to the Akka framework. Finally, you will learn the interoperability of Scala and Java. After reading this book, you'll be well versed with this language and its features, and you will be able to write scalable, concurrent, and reactive programs in Scala. Style and approach This book is for programmers who want to master Scala to write concurrent, scalable, and reactive programs. Though no experience with any programming language is needed, some basic knowledge would help understand concepts faster.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,638円

Building Scalable Apps with Redis and Node.js【電子書籍】[ Joshua Johanan ]

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<p>If the phrase scalability sounds alien to you, then this is an ideal book for you. You will not need much Node.js experience as each framework is demonstrated in a way that requires no previous knowledge of the framework. You will be building scalable Node.js applications in no time! Knowledge of JavaScript is required.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 3,946円

Ultimate Elastic Kubernetes Service with AWS: Implement Scalable, Secure Kubernetes Solutions on AWS EKS with Hands-on Architecture Design, Automation, Monitoring, and Performance Tuning【電子書籍】[ Jatinder Singh ]

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<p>Build, Secure and Scale Production-Grade Kubernetes with AWS EKS.</p> <p>Key Features</p> <p>● Real-world EKS scenarios with hands-on labs and practical implementation guides.</p> <p>● Complete coverage from cluster setup to production-grade security and scaling.</p> <p>● Expert insights on cost optimization and cloud-native best practices in AWS.</p> <p>Book Description</p> <p>As organizations increasingly adopt microservices and containerized architectures, mastering Kubernetes on the cloud has become a critical skill. Ultimate Elastic Kubernetes Service with AWS equips you with the knowledge and tools needed to harness the full power of EKS for real-world, enterprise-grade use cases.</p> <p>This comprehensive guide takes you through the fundamentals of Kubernetes and cloud-native design to advanced topics such as multi-cluster management, service mesh, observability, and disaster recovery. You will begin by setting up your EKS environment, and understanding Docker as well as container orchestration essentials. As you progress, you will dive into security best practices, automated CI/CD pipelines, cost optimization, and performance tuningーeach covered through step-by-step tutorials, real-world scenarios, and detailed diagrams.</p> <p>Written by AWS experts with deep industry experience, this book simplifies complex concepts, and offers practical guidance backed by real implementations. Hence, whether you are a DevOps engineer, cloud architect, or platform engineer, this is your go-to reference for designing, deploying, and managing robust Kubernetes workloads on AWS.</p> <p>Start your journey today to become an EKS expert, and unlock the full potential of cloud-native application delivery on AWS.</p> <p>What you will learn</p> <p>● Design and deploy secure, production-grade EKS clusters at enterprise scale.</p> <p>● Implement multi-region, resilient architectures with automated disaster recovery capabilities.</p> <p>● Build and optimize CI/CD pipelines for containerized applications on EKS.</p> <p>● Master container orchestration, service mesh implementation, and advanced networking concepts.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 3,761円