A comprehensive introduction to automated application deployment on Kubernetes for beginners Key Features Effectively manage applications deployed in Kubernetes using Helm Learn to install, upgrade, share, and manage applications deployed in Kubernetes Get up and running with a package manager for Kubernetes Book DescriptionContainerization is currently known to be one of the best ways to implement DevOps. While Docker introduced containers and changed the DevOps era, Google developed an extensive container orchestration system, Kubernetes, which is now considered the frontrunner in container orchestration. With the help of this book, you'll explore the efficiency of managing applications running on Kubernetes using Helm. Starting with a short introduction to Helm and how it can benefit the entire container environment, you'll then delve into the architectural aspects, in addition to learning about Helm charts and its use cases. You'll understand how to write Helm charts in order to automate application deployment on Kubernetes. Focused on providing enterprise-ready patterns relating to Helm and automation, the book covers best practices for application development, delivery, and lifecycle management with Helm. By the end of this Kubernetes book, you will have learned how to leverage Helm to develop an enterprise pattern for application delivery. What you will learn Develop an enterprise automation strategy on Kubernetes using Helm Create easily consumable and configurable Helm charts Use Helm in orchestration tooling and Kubernetes operators Explore best practices for application delivery and life cycle management Leverage Helm in a secure and stable manner that is fit for your enterprise Discover the ins and outs of automation with Helm Who this book is forThis book is for Kubernetes developers or administrators who are interested in learning Helm to provide automation for application development on Kubernetes. Although no prior knowledge of Helm is required, basic knowledge of Kubernetes application development will be useful.

Learn RPA by building business solutions such as ERP and CRM automation, software robots, and intelligent process automation from scratch Key Features Use popular RPA tools Automation Anywhere A2019 and UiPath, for real-world task automation Build automation solutions for domains such as System Administration, Finance, HR, Supply Chain, and Customer Relations Extend your RPA capabilities by implementing Intelligent process automation with APIs and AI Book DescriptionRobotic Process automation helps businesses to automate monotonous tasks that can be performed by machines. This project-based guide will help you progress through easy to more advanced RPA projects. You'll learn the principles of RPA and how to architect solutions to meet the demands of business automation, along with exploring the most popular RPA tools - UiPath and Automation Anywhere. In the first part, you'll learn how to use UiPath by building a simple helpdesk ticket system. You'll then automate CRM systems by integrating Excel data with UiPath. After this, the book will guide you through building an AI-based social media moderator using Google Cloud Vision API. In the second part, you'll learn about Automation Anywhere's latest Cloud RPA platform (A2019) by creating projects such as an automated ERP administration system, an AI bot for order and invoice processing, and an automated emergency notification system for employees. Later, you'll get hands-on with advanced RPA tasks such as invoking APIs, before covering complex concepts such as Artificial Intelligence (AI) and machine learning in automation to take your understanding of RPA to the next level. By the end of the book, you'll have a solid foundation in RPA with experience in building real-world projects. What you will learn Explore RPA principles, techniques, and tools using an example-driven approach Understand the basics of UiPath by building a helpdesk ticket generation system Automate read and write operations from Excel in a CRM system using UiPath Build an AI-based social media moderator platform using Google Cloud Vision API with UiPath Explore how to use Automation Anywhere by building a simple sales order processing system Build an automated employee emergency reporting system using Automation Anywhere Test your knowledge of building an automated workflow through fun exercises Who this book is forThis RPA book is for enterprise application developers, software developers, business analysts, or any professional who wants to implement RPA across various domains of the business. The book assumes some understanding of enterprise systems. Computer programming experience will also be beneficial.

An enterprise Java developer's guide to learning JAX-RS, context and dependency injection, JavaServer Faces (JSF), and microservices with Eclipse MicroProfile using the latest features of Jakarta EE Key Features Explore Jakarta EE's latest features and API specifications and discover their benefits Build and deploy microservices using Jakarta EE 8 and Eclipse MicroProfile Build robust RESTful web services for various enterprise scenarios using the JAX-RS, JSON-P, and JSON-B APIs Book DescriptionJakarta EE is widely used around the world for developing enterprise applications for a variety of domains. With this book, Java professionals will be able to enhance their skills to deliver powerful enterprise solutions using practical recipes. This second edition of the Jakarta EE Cookbook takes you through the improvements introduced in its latest version and helps you get hands-on with its significant APIs and features used for server-side development. You'll use Jakarta EE for creating RESTful web services and web applications with the JAX-RS, JSON-P, and JSON-B APIs and learn how you can improve the security of your enterprise solutions. Not only will you learn how to use the most important servers on the market, but you'll also learn to make the best of what they have to offer for your project. From an architectural point of view, this Jakarta book covers microservices, cloud computing, and containers. It allows you to explore all the tools for building reactive applications using Jakarta EE and core Java features such as lambdas. Finally, you'll discover how professionals can improve their projects by engaging with and contributing to the community. By the end of this book, you'll have become proficient in developing and deploying enterprise applications using Jakarta EE. What you will learn Work with Jakarta EE's most commonly used APIs and features for server-side development Enable fast and secure communication in web applications with the help of HTTP2 Build enterprise applications with reusable components Break down monoliths into microservices using Jakarta EE and Eclipse MicroProfile Improve your enterprise applications with multithreading and concurrency Run applications in the cloud with the help of containers Get to grips with continuous delivery and deployment for shipping your applications effectively Who this book is forThis book is for Java EE developers who want to build enterprise applications or update their legacy apps with Jakarta EE's latest features and specifications. Some experience of working with Java EE and knowledge of web and cloud computing will assist with understanding the concepts covered in this book.

Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV) Key Features Become well-versed with best practices for implementing automated analytical computations Discover real-world examples to extend cloud intelligence Develop your skills by understanding edge analytics and applying it to research activities Book DescriptionEdge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model, and help you understand why it's gaining momentum. You'll begin with the key concepts and components used in an edge analytics app. Moving ahead, you'll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next, the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later, you'll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, you'll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You'll even get hands-on with designing a smart doorbell system using the technologies you've learned. To remove vulnerabilities in the overall edge analytics architecture, you'll discover ways to overcome security and privacy challenges. Finally, you'll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure. By the end of this book, you'll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations. What you will learn Discover the key concepts and architectures used with edge analytics Understand how to use long-distance communication protocols for edge analytics Deploy Microsoft Azure IoT Edge to a Raspberry Pi Create Node-RED dashboards with MQTT and Text to Speech (TTS) Use MicroPython for developing edge analytics apps Explore various machine learning techniques and discover how machine learning is related to edge analytics Use camera and vision recognition algorithms on the sensory side to design an edge analytics app Monitor and audit edge analytics apps Who this book is forIf you are a data analyst, data architect, or data scientist who is interested in learning and practicing advanced automated analytical computations, then this book is for you. You will also find this book useful if you're looking to learn edge analytics from scratch. Basic knowledge of data analytics concepts is assumed to get the most out of this book.

Build scalable and production-ready infrastructure in Amazon Web Services with CloudFormation Key Features Leverage AWS CloudFormation templates to manage your entire infrastructure Get up and running with writing your infrastructure as code and automating your environment Simplify infrastructure management and increase productivity with AWS CloudFormation Book DescriptionDevOps and the cloud revolution have forced software engineers and operations teams to rethink how to manage infrastructures. With this AWS book, you'll understand how you can use Infrastructure as Code (IaC) to simplify IT operations and manage the modern cloud infrastructure effectively with AWS CloudFormation. This comprehensive guide will help you explore AWS CloudFormation from template structures through to developing complex and reusable infrastructure stacks. You'll then delve into validating templates, deploying stacks, and handling deployment failures. The book will also show you how to leverage AWS CodeBuild and CodePipeline to automate resource delivery and apply continuous integration and continuous delivery (CI/CD) practices to the stack. As you advance, you'll learn how to generate templates on the fly using macros and create resources outside AWS with custom resources. Finally, you'll improve the way you manage the modern cloud in AWS by extending CloudFormation using AWS serverless application model (SAM) and AWS cloud development kit (CDK). By the end of this book, you'll have mastered all the major AWS CloudFormation concepts and be able to simplify infrastructure management. What you will learn Understand modern approaches to IaC Develop universal and reusable CloudFormation templates Discover ways to apply continuous delivery with CloudFormation Implement IaC best practices for the AWS Cloud Provision massive applications across multiple regions and accounts Automate template generation and software provisioning for AWS Extend CloudFormation with custom resources and template macros Who this book is forIf you are a developer who wants to learn how to write templates, a DevOps engineer interested in deployment and orchestration, or a solutions architect looking to understand the benefits of managing infrastructure with ease, this book is for you. Prior understanding of the AWS Cloud is necessary.

A hands-on guide with a minimalist and flexible approach that enables quick learning and rapid delivery of cloud-ready enterprise applications with Angular 8 About This Book * Second edition of the bestselling book, improved and updated to help you master modern Angular app design and architecture * Deploy your app on highly available cloud infrastructure using AWS or any cloud * Enable rapid delivery of high-quality and reliable Angular applications Who This Book Is For This book is for developers who want to confidently deliver high-quality and production-grade Angular apps from design to deployment. Developers that have prior experience in writing a RESTful APIs will get the full benefit of the content; even if not, developers will gain better situational awareness of how, as a web developer, they fit in the larger picture of delivering a web application. This awareness is critical in becoming a more productive developer! What You Will Learn * Adopt a minimalist, value-first approach to delivering your app * Master Angular fundamentals, RxJS, CLI tools, GitHub and Docker * Become a reactive developer, learn about the flux pattern and NgRx * Consume Web APIs and learn about RESTful API design * Architect responsive, secure and scalable apps to deploy on AWS * Work with Nginx and Node.js based Docker containers * Get introduced to DevOps with CircleCI, Firebase, and Zeit NowIn Detail Angular for Enterprise-Ready Web Applications, updated with more in-depth and comprehensive coverage of the evergreen Angular platform, uses a minimalistic and iterative approach to learning and development, presenting alternatives to help readers make informed decisions. The first part of the book is about mastering Angular fundamentals. You will use the Kanban method and GitHub tools to focus on value delivery, build great looking apps with Angular Material, leverage reactive programming patterns with RxJS, and deploy your app to the cloud using Docker. The second part of the book will guide you through designing and developing line-of-business apps with observable data anchors, demonstrated through oft-used recipes like master/detail views, and data grids with pagination and forms. You will learn robust authentication and authorization design, automated unit testing, API mocking using Swagger, and continuous integration using CircleCI. In the concluding chapters, you will provision a highly available cloud infrastructure on AWS, capture user behavior with Google Analytics, and perform load testing. By the end of this book, you will become familiar with the whole gamut of modern web development learning patterns and practices to be successful as an individual developer on the web or as a team in the Enterprise.

A practical recipe-based guide to extend your Dynamics 365 Finance and Supply chain management implementation. Key Features Extend Dynamics 365 Finance and Supply Chain Management features in a cost-effective manner Learn how to integrate with other applications and services securely using Business Events, OData and the Service Bus Extend and hook into standard processes safely using Chain of Command Book DescriptionDynamics 365 Finance and Supply Chain Management is Microsoft's ERP solution, which can be implemented as a cloud or on-premise solution to facilitate better decision-making with the help of contemporary, scalable ERP system tools. This book is updated with the latest features of Dynamics 365 Finance and Supply Chain Management including Chain of Command (CoC), Acceptance Test Libraries (ATL), and Business Events. The book not only features more than 100 tutorials that allow you to create and extend business solutions, but also addresses specific problems and offers solutions with insights into how they work. This cookbook starts by helping you set up a Azure DevOps project and taking you through the different data types and structures used to create tables. You will then gain an understanding of user interfaces, write extensible code, manage data entities, and even model Dynamics 365 ERP for security. As you advance, you'll learn how to work with various in-built Dynamics frameworks such as SysOperation, SysTest, and Business Events. Finally, you'll get to grips with automated build management and workflows for better application state management. By the end of this book, you'll have become proficient in packaging and deploying end-to-end scalable solutions with Microsoft Dynamics 365 Finance and Supply Chain Management. What you will learn Understand the importance of using patterns and frameworks for creating unique solutions Write code that can make your solution extendable Leverage new frameworks that allow your solution to adapt as your business grows Design the UI and business logic to fit standard patterns Understand how to not only write unit tests, but also perform efficient unit testing to automate the testing process Design your security model and policies to provide code access privileges Who this book is forThis Dynamics 365 book is for anyone who wants to learn Dynamics 365 Finance and Supply Chain Management development or migrate from C# or Microsoft Dynamics AX 2012 (or prior) development. Although finance and Supply Chain Management experience is not necessary, a background in software development is required. You will also need access to Microsoft's Lifecycle Services to download the necessary development tools.

Harness the power of Finance and Operations apps, and discover all you need for their implementation Key Features Manage and plan different Dynamics configurations, designs, and products Learn how to manage projects for pre-sales and implementation using Microsoft Dynamics Lifecycle Services (LCS) Discover various integration planning techniques, tools, and frameworks such as PowerApps and Power Automate Book DescriptionMicrosoft Dynamics 365 for Finance and Operations is a modern cloud ERP platform that adopts a mobile-first approach suitable for medium-to-large enterprises. This book covers the entire implementation process of Dynamics 365 Finance and Operation Apps, including post-implementation and business transformation. The updated second edition starts with an introduction to Microsoft Dynamics 365, describing different apps and tools under it. You will learn about different implementation methodologies such as Waterfall and Agile, for your projects. We will cover various application components and architectures of Dynamics such as requirements processing, development, reports and analytics, and integration. With the help of tips, techniques, and best practices, you'll explore strategies for managing configurations and data migrations. As you read further, you'll discover development tools and processes in Dynamics for building customized solutions in Dynamics. The book will also demonstrate analytics and financial reporting options such as Power BI and Cortana Intelligence. Finally, you'll learn the importance of testing and explore various automated testing strategies. By the end of this book, you will have gained the necessary knowledge to implement Microsoft business solutions with Dynamics 365 for Finance and Operations Apps. What you will learn Understand the architecture of Dynamics 365 for Finance and Operations Apps Implement Dynamics with confidence to manage finances in your business Get up to speed with different methodologies and support cycles of the Microsoft Dynamics architecture Explore best practices to analyze the requirements of your business Understand the technique of data migration from legacy systems Leverage the capabilities of Power BI to make informed business decisions Manage all your upgrades through One Version service updates Who this book is forThis book is for consultants, technical managers, project managers, or solution architects who are looking to implement Microsoft Dynamics 365 Finance and Operations apps in their business. A basic understanding of the enterprise resource planning (ERP) implementation process and software lifecycle is expected.