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Podcasts
Pranav Shukla, Sharath Kumar M N
The Elastic Stack is a powerful combination of tools that help in performing distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and guide you in using it efficiently to build powerful real-time data processing applications. The first few sections of the book will help you understand how to set up the stack by installing tools and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed search and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well-versed with fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.
Eran Kinsbruner, Gleb Bahmutov
Testing web applications during a sprint poses a challenge for frontend web app developers, which can be overcome by harnessing the power of new, open source cross-browser test automation frameworks. This book will introduce you to a range of leading, powerful frameworks, such as Selenium, Cypress, Puppeteer, and Playwright, and serve as a guide to leveraging their test coverage capability. You’ll learn essential concepts of web testing and get an overview of the different web automation frameworks in order to integrate them into your frontend development workflow. Throughout the book, you'll explore the unique features of top open source test automation frameworks, as well as their trade-offs, and learn how to set up each of them to create tests that don't break with changes in the app.By the end of this book, you'll not only be able to choose the framework that best suits your project needs but also create your initial JavaScript-based test automation suite. This will enable fast feedback upon code changes and increase test automation reliability. As the open source market for these frameworks evolves, this guide will help you to continuously validate your project needs and adapt to the changes.
Real-Time Big Data Analytics. Design, process, and analyze large sets of complex data in real time
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.
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.
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 Yii. Click here to enter text
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.
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 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.
Network simulation is a powerful technique that uses software programs to replicate the behaviors of real networks. Network simulators are programs that can predict the performance of computer networks or wireless communication networks. This book is your hands-on guide to ns-3, a script-based simulator that allows for learning, experimenting, and evaluating wired, wireless (802.11a/b/g/n/ac/ax), and 4G long-term evolution (LTE) networks quickly and at low cost.You’ll begin by learning how to install and use ns-3, along with exploring its key features such as building blocks for creating a variety of wired or wireless network topologies, installing suitable protocols and applications, identifying and resolving networking issues, and systematically evaluating network performance. As you make progress, you’ll gain a clear understanding of simulation errors, exceptions, and abrupt events. You’ll also discover how to set up and evaluate Ethernet, Wi-Fi (802.11n/ac/ax) LANs, ad-hoc, and LTE networks. The concluding chapters discuss LTE advanced topics such as capacity planning, site surveys, radio resources, mobility management, and interference handling. By the end of this simulation book, you’ll be able to use ns-3 to implement, analyze, debug, and evaluate the performance of wired or wireless networks, as well as setting up custom test scenarios.
Emily Jiang, Andrew McCright, John Alcorn, David Chan, ...
In this cloud-native era, most applications are deployed in a cloud environment that is public, private, or a combination of both. To ensure that your application performs well in the cloud, you need to build an application that is cloud native. MicroProfile is one of the most popular frameworks for building cloud-native applications, and fits well with Kubernetes. As an open standard technology, MicroProfile helps improve application portability across all of MicroProfile's implementations.Practical Cloud-Native Java Development with MicroProfile is a comprehensive guide that helps you explore the advanced features and use cases of a variety of Jakarta and MicroProfile specifications. You'll start by learning how to develop a real-world stock trader application, and then move on to enhancing the application and adding day-2 operation considerations. You'll gradually advance to packaging and deploying the application. The book demonstrates the complete process of development through to deployment and concludes by showing you how to monitor the application's performance in the cloud. By the end of this book, you will master MicroProfile's latest features and be able to build fast and efficient cloud-native applications.
This book will cover the very basic but essential techniques you need to model an organic and functional object for 3D printing using Blender. Starting with pen and paper and then moving on to the computer, you will create your first project in Blender, add basic geometric shapes, and use techniques such as extruding and subdividing to transform these shapes into complex meshes. You will learn how modifiers can automatically refine the shape further and combine multiple shapes into a single 3D printable model. By the end of the book, you will have gained enough practical hands-on experience to be able to create a 3D printable object of your choice, which in this case is a 3D print-ready octopus pencil holder.
SuperCollider is an environment and programming language used by musicians, scientists, and artists who work with audio-files SuperCollider has built-in graphical features which are used in conjunction with the sound synthesis server to create audio-visual mapping and sound visualization. If you wish to create data visualizations by acquiring data from audio and visual sources, then this book is for you.Digital sound artists need to analyze, manipulate, map, and visualize data when working on a scientific or an artistic project. As an artist, this book, by means of its numerous code examples will provide you with the necessary knowledge of SuperCollider's practical applications, so that you can extract meaningful information from audio-files and master its visualization techniques. This book will help you to prototype and implement sophisticated visualizers, sonifiers, and complex mappings of your data.This book takes a closer look at SuperCollider features such as plotting and metering functionality to dispel the mysterious aura surrounding the more advanced mappings and animation strategies. This book also takes you through a number of examples that help you to create intelligent mapping and visualization systems. Throughout the course of the book, you will synthesize and optimize waveforms and spectra for scoping as well as extract information from an audio signal. The later sections of the book focus on advanced topics such as emulating physical forces, designing kinematic structures, and using neural networks to enable you to develop a visualization that has a natural motion with structures that respect anatomy and which come with an intelligent encoding mechanism. This book will teach you everything you need to work with intelligent audio-visual systems to extract and visualize audio-visual data.
Deep learning has shown remarkable promise in the field of genomics; however, there is a lack of a skilled deep learning workforce in this discipline. This book will help researchers and data scientists to stand out from the rest of the crowd and solve real-world problems in genomics by developing the necessary skill set. Starting with an introduction to the essential concepts, this book highlights the power of deep learning in handling big data in genomics. First, you’ll learn about conventional genomics analysis, then transition to state-of-the-art machine learning-based genomics applications, and finally dive into deep learning approaches for genomics. The book covers all of the important deep learning algorithms commonly used by the research community and goes into the details of what they are, how they work, and their practical applications in genomics. The book dedicates an entire section to operationalizing deep learning models, which will provide the necessary hands-on tutorials for researchers and any deep learning practitioners to build, tune, interpret, deploy, evaluate, and monitor deep learning models from genomics big data sets.By the end of this book, you’ll have learned about the challenges, best practices, and pitfalls of deep learning for genomics.
Amazon Web Services (AWS) is one of the most popular and efficient cloud platforms for administering and deploying your applications to make them resilient and robust. AWS for System Administrators will help you to learn several advanced cloud administration concepts for deploying, managing, and operating highly available systems on AWS.Starting with the fundamentals of identity and access management (IAM) for securing your environment, this book will gradually take you through AWS networking and monitoring tools. As you make your way through the chapters, you’ll get to grips with VPC, EC2, load balancer, Auto Scaling, RDS database, and data management. The book will also show you how to initiate AWS automated backups and store and keep track of log files. Later, you’ll work with AWS APIs and understand how to use them along with CloudFormation, Python Boto3 Script, and Terraform to automate infrastructure.By the end of this AWS book, you’ll be ready to build your two-tier startup with all the necessary infrastructure, monitoring, and logging components in place.
Microsoft Dynamics 365 Business Central is a complete business management solution that can help you streamline business processes, connect individual departments in your company, and enhance customer interactions.Ok. That first part was really professional sounding, right? Now, let’s get into what this cookbook is going to do for you: put simply, it’s going to help you get things done. This book will help you get to grips with the latest development features and tools for building applications using Business Central. You’ll find recipes that will guide you in developing and testing applications that can be deployed to the cloud or on-premises. For the old-schoolers out there, you’ll also learn how to take your existing Dynamics NAV customizations and move them to the new AL language platform.Also, if you haven’t figured it out already, we’re going to be using very normal language throughout the book to keep things light. After all, developing applications is fun, so why not have fun learning as well!