Real-Time Big Data Analytics. Design, process, and analyze large sets of complex data in real time

Sumit Gupta, Shilpi Saxena

Enterprise has been striving hard to deal with the challenges of data arriving in real time or near real time.Although there are technologies such as Storm and Spark (and many more) that solve the challenges of real-time data, using the appropriate technology/framework for the right business use case is the key to success. This book provides you with the skills required to quickly design, implement and deploy your real-time analytics using real-world examples of big data use cases.From the beginning of the book, we will cover the basics of varied real-time data processing frameworks and technologies. We will discuss and explain the differences between batch and real-time processing in detail, and will also explore the techniques and programming concepts using Apache Storm.Moving on, we’ll familiarize you with “Amazon Kinesis” for real-time data processing on cloud. We will further develop your understanding of real-time analytics through a comprehensive review of Apache Spark along with the high-level architecture and the building blocks of a Spark program. You will learn how to transform your data, get an output from transformations, and persist your results using Spark RDDs, using an interface called Spark SQL to work with Spark.At the end of this book, we will introduce Spark Streaming, the streaming library of Spark, and will walk you through the emerging Lambda Architecture (LA), which provides a hybrid platform for big data processing by combining real-time and precomputed batch data to provide a near real-time view of incoming data.

Modern API Development with Spring 6 and Spring Boot 3. Design scalable, viable, and reactive APIs with REST, gRPC, and GraphQL using Java 17 and Spring Boot 3 - Second Edition

Sourabh Sharma

Spring is a powerful and widely adopted framework for building scalable and reliable web applications in Java, complemented by Spring Boot, a popular extension to the framework that simplifies the setup and configuration of Spring-based applications. This book is an in-depth guide to harnessing Spring 6 and Spring Boot 3 for web development, offering practical knowledge of building modern robust web APIs and services.The book covers a wide range of topics that are essential for API development, including RESTful web service fundamentals, Spring concepts, and API specifications. It also explores asynchronous API design, security, designing user interfaces, testing APIs, and the deployment of web services. In addition to its comprehensive coverage, this book offers a highly contextual real-world sample app that you can use as a reference for building different types of APIs for real-world applications. This sample app will lead you through the entire API development cycle, encompassing design and specification, implementation, testing, and deployment.By the end of this book, you’ll have learned how to design, develop, test, and deploy scalable and maintainable modern APIs using Spring 6 and Spring Boot 3, along with best practices for bolstering the security and reliability of your applications and improving your application's overall functionality.

Coding with ChatGPT and Other LLMs. Navigate LLMs for effective coding, debugging, and AI-driven development

Dr. Vincent Austin Hall

Keeping up with the AI revolution and its application in coding can be challenging, but with guidance from AI and ML expert Dr. Vincent Hall—who holds a PhD in machine learning and has extensive experience in licensed software development—this book helps both new and experienced coders to quickly adopt best practices and stay relevant in the field.You’ll learn how to use LLMs such as ChatGPT and Bard to produce efficient, explainable, and shareable code and discover techniques to maximize the potential of LLMs. The book focuses on integrated development environments (IDEs) and provides tips to avoid pitfalls, such as bias and unexplainable code, to accelerate your coding speed. You’ll master advanced coding applications with LLMs, including refactoring, debugging, and optimization, while examining ethical considerations, biases, and legal implications. You’ll also use cutting-edge tools for code generation, architecting, description, and testing to avoid legal hassles while advancing your career.By the end of this book, you’ll be well-prepared for future innovations in AI-driven software development, with the ability to anticipate emerging LLM technologies and generate ideas that shape the future of development.

Mastering iOS 18 Development. Take your iOS development experience to the next level with iOS, Xcode, Swift, and SwiftUI

Avi Tsadok

Embark on a comprehensive iOS 18 development journey with Avi Tsadok, a veteran iOS developer and author of 4 books and over 40 tutorials and articles. A recognized public speaker, Avi has a knack for demystifying complex concepts and brings unparalleled expertise to the forefront of iOS 18 development education. This guide focuses on iOS 18 advancements, equipping developers with tools to maximize its potential.This book covers essential topics for seasoned developers, including Swift, SwiftUI, Xcode foundations, and the latest iOS SDK updates. You’ll get to grips with optimizing performance and understanding advanced architectural paradigms. By implementing the newest iOS updates, you’ll also explore intricate animation methods and harness a new framework, SwiftData that replaces Core Data for having persistent storage. The book builds your proficiency in advanced networking with URLSession and shows you how to conjure stunning visuals and adopt sophisticated testing techniques. You'll explore the world of machine learning with Apple’s Core ML diving into built-in frameworks like NLP, vision, and sound analysis to train and integrate your own models into iOS apps.By the end of the book, you'll possess skills to build exceptional apps, excel in advanced roles, and confidently tackle iOS development challenges.

Building Serverless Microservices in Python. A complete guide to building, testing, and deploying microservices using serverless computing on AWS

Richard Takashi Freeman

Over the last few years, there has been a massive shift from monolithic architecture to microservices, thanks to their small and independent deployments that allow increased flexibility and agile delivery. Traditionally, virtual machines and containers were the principal mediums for deploying microservices, but they involved a lot of operational effort, configuration, and maintenance. More recently, serverless computing has gained popularity due to its built-in autoscaling abilities, reduced operational costs, and increased productivity.Building Serverless Microservices in Python begins by introducing you to serverless microservice structures. You will then learn how to create your first serverless data API and test your microservice. Moving on, you'll delve into data management and work with serverless patterns. Finally, the book introduces you to the importance of securing microservices.By the end of the book, you will have gained the skills you need to combine microservices with serverless computing, making their deployment much easier thanks to the cloud provider managing the servers and capacity planning.

Mastering Yii. Click here to enter text

Charles R. Portwood ll

The successor of Yii Framework 1.1, Yii 2 is a complete rewrite of Yii Framework, one of the most popular PHP 5 frameworks around for making modern web applications. The update embraces the best practices and protocols established with newer versions of PHP, while still maintaining the simple, fast, and extendable behavior found in its predecessor.This book has been written to enhance your skills and knowledge with Yii Framework 2. Starting with configuration and how to initialize new projects, you’ll learn how to configure, manage, and use every aspect of Yii2 from Gii, DAO, Query Builder, Active Record, and migrations, to asset manager. You'll also discover how to automatically test your code using codeception.With this book by your side, you’ll have all the skills you need to quickly create rich modern web and console applications with Yii 2.

Cloud Native Software Security Handbook. Unleash the power of cloud native tools for robust security in modern applications

Mihir Shah

For cloud security engineers, it’s crucial to look beyond the limited managed services provided by cloud vendors and make use of the wide array of cloud native tools available to developers and security professionals, which enable the implementation of security solutions at scale. This book covers technologies that secure infrastructure, containers, and runtime environments using vendor-agnostic cloud native tools under the Cloud Native Computing Foundation (CNCF).The book begins with an introduction to the whats and whys of the cloud native environment, providing a primer on the platforms that you’ll explore throughout. You’ll then progress through the book, following the phases of application development. Starting with system design choices, security trade-offs, and secure application coding techniques that every developer should be mindful of, you’ll delve into more advanced topics such as system security architecture and threat modelling practices. The book concludes by explaining the legal and regulatory frameworks governing security practices in the cloud native space and highlights real-world repercussions that companies have faced as a result of immature security practices.By the end of this book, you'll be better equipped to create secure code and system designs.

Kubernetes - A Complete DevOps Cookbook. Build and manage your applications, orchestrate containers, and deploy cloud-native services

Murat Karslioglu

Kubernetes is a popular open source orchestration platform for managing containers in a cluster environment. With this Kubernetes cookbook, you’ll learn how to implement Kubernetes using a recipe-based approach. The book will prepare you to create highly available Kubernetes clusters on multiple clouds such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Alibaba, and on-premises data centers.Starting with recipes for installing and configuring Kubernetes instances, you’ll discover how to work with Kubernetes clients, services, and key metadata. You’ll then learn how to build continuous integration/continuous delivery (CI/CD) pipelines for your applications, and understand various methods to manage containers. As you advance, you’ll delve into Kubernetes' integration with Docker and Jenkins, and even perform a batch process and configure data volumes. You’ll get to grips with methods for scaling, security, monitoring, logging, and troubleshooting. Additionally, this book will take you through the latest updates in Kubernetes, including volume snapshots, creating high availability clusters with kops, running workload operators, new inclusions around kubectl and more.By the end of this book, you’ll have developed the skills required to implement Kubernetes in production and manage containers proficiently.