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Author: Neil Middleton
Publisher: O'Reilly Media, Incorporated
ISBN: 9781449341398
Category : Computers
Languages : en
Pages : 0
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Book Description
Build, deploy, and manage applications in the cloud with Heroku, one of the first PaaS platforms to offer sophisticated hosting and development services. With this book, you’ll learn how to use Heroku’s Cedar runtime stack, a polyglot platform with native support for several languages and frameworks, including Ruby (Rails), Java (Spring), Node.js, and Python (Django). Get started with the Heroku Command Line Interface and learn day-to-day best practices for hosting your applications on the platform. You’ll learn everything from basic concepts to advanced topics such as Buildpacks so you can start running in the cloud right away. Use pre-baked code examples and instances in Java and Ruby Learn about Heroku’s simple application deployment and strong erosion resistance Understand how applications should be built for modern day cloud hosting, using the 12-factor principle
Author: Neil Middleton
Publisher: O'Reilly Media, Incorporated
ISBN: 9781449341398
Category : Computers
Languages : en
Pages : 0
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Book Description
Build, deploy, and manage applications in the cloud with Heroku, one of the first PaaS platforms to offer sophisticated hosting and development services. With this book, you’ll learn how to use Heroku’s Cedar runtime stack, a polyglot platform with native support for several languages and frameworks, including Ruby (Rails), Java (Spring), Node.js, and Python (Django). Get started with the Heroku Command Line Interface and learn day-to-day best practices for hosting your applications on the platform. You’ll learn everything from basic concepts to advanced topics such as Buildpacks so you can start running in the cloud right away. Use pre-baked code examples and instances in Java and Ruby Learn about Heroku’s simple application deployment and strong erosion resistance Understand how applications should be built for modern day cloud hosting, using the 12-factor principle
Author: Neil Middleton
Publisher: "O'Reilly Media, Inc."
ISBN: 1449341357
Category : Computers
Languages : en
Pages : 141
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Book Description
Take full advantage of Heroku’s cloud-based hosting services. This guide takes you through the inner workings of this PaaS platform and delivers practical advice for architecting your application to work as efficiently as possible. You’ll learn best practices for improving speed and throughput, solving latency issues, locating and fixing problems if your application goes down, and ensuring your deployments go smoothly. By covering everything from basic concepts and primary components to add-on services and advanced topics such as buildpacks, this book helps you effectively deploy and manage your application with Heroku. Learn your way around Heroku with the command line interface Discover several methods for scaling your application to increase throughput Speed up response time through performance optimizations Solve latency issues by deploying your Heroku instance in new regions Choose the right plan for using Heroku’s PostgreSQL database-as-a-service Get a checklist of items to consider when deploying your application Find and fix problems during deployment, at runtime, and when your application goes down Understand how Heroku buildpacks work, and learn how customize your own
Author: Mike Coutermarsh
Publisher: Packt Publishing Ltd
ISBN: 1782177957
Category : Computers
Languages : en
Pages : 380
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Book Description
This book is intended for developers who want to learn what it takes to deploy and manage production level applications on Heroku. You may have already deployed applications to Heroku or may be entirely new to the platform. This book will get you up to speed quickly with all the knowledge needed to run real-world web applications on Heroku. When using the recipes in this book, it would be helpful to have some prior experience of working with Git and command line applications.
Author: Mohith Shrivastava
Publisher: Packt Publishing Ltd
ISBN: 1787125289
Category : Computers
Languages : en
Pages : 324
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Book Description
Incorporate the power of Einstein in your Salesforce application About This Book Make better predictions of your business processes using prediction and predictive modeling Build your own custom models by leveraging PredictionIO on the Heroku platform Integrate Einstein into various cloud services to predict sales, marketing leads, insights into news feeds, and more Who This Book Is For This book is for developers, data scientists, and Salesforce-experienced consultants who want to explore Salesforce Einstein and its current offerings. It assumes some prior experience with the Salesforce platform. What You Will Learn Get introduced to AI and its role in CRM and cloud applications Understand how Einstein works for the sales, service, marketing, community, and commerce clouds Gain a deep understanding of how to use Einstein for the analytics cloud Build predictive apps on Heroku using PredictionIO, and work with Einstein Predictive Vision Services Incorporate Einstein in the IoT cloud Test the accuracy of Einstein through Salesforce reporting and Wave analytics In Detail Dreamforce 16 brought forth the latest addition to the Salesforce platform: an AI tool named Einstein. Einstein promises to provide users of all Salesforce applications with a powerful platform to help them gain deep insights into the data they work on. This book will introduce you to Einstein and help you integrate it into your respective business applications based on the Salesforce platform. We start off with an introduction to AI, then move on to look at how AI can make your CRM and apps smarter. Next, we discuss various out-of-the-box components added to sales, service, marketing, and community clouds from salesforce to add Artificial Intelligence capabilities. Further on, we teach you how to use Heroku, PredictionIO, and the force.com platform, along with Einstein, to build smarter apps. The core chapters focus on developer content and introduce PredictionIO and Salesforce Einstein Vision Services. We explore Einstein Predictive Vision Services, along with analytics cloud, the Einstein Data Discovery product, and IOT core concepts. Throughout the book, we also focus on how Einstein can be integrated into CRM and various clouds such as sales, services, marketing, and communities. By the end of the book, you will be able to embrace and leverage the power of Einstein, incorporating its functions to gain more knowledge. Salesforce developers will be introduced to the world of AI, while data scientists will gain insights into Salesforce's various cloud offerings and how they can use Einstein's capabilities and enhance applications. Style and approach This book takes a straightforward approach to explain Salesforce Einstein and all of its potential applications. Filled with examples, the book presents the facts along with seasoned advice and real-world use cases to ensure you have all the resources you need to incorporate the power of Einstein in your work.
Author: Sandro Pasquali
Publisher: Packt Publishing Ltd
ISBN: 1783981415
Category : Computers
Languages : en
Pages : 274
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Book Description
Node.js is a popular choice for teams that need to design, build, test, deploy, maintain, and monitor large-scale distributed systems. Starting with a detailed overview of the Node.js architecture, this book covers topics that will help in application development, testing, deployment, and maintenance. You will learn about concurrency, event loops, callbacks and streams. Furthermore, step-by-step instructions on deploying applications to providers such as DigitalOcean and Heroku will be provided, including information on setting up load balancers and proxies. Message queues and other techniques for managing state and session data at scale will also be covered. A series of examples on deploying your Node.js applications in production environments are provided, including a discussion on setting up continuous deployment and integration for your team. Popular tools for testing, deploying, building, and monitoring Node.js applications are covered, helping you get up and running quickly.
Author: Michael Hartl
Publisher: Addison-Wesley Professional
ISBN: 0138049971
Category : Computers
Languages : en
Pages : 1355
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Book Description
Used by sites as varied as Hulu, GitHub, Shopify, and Airbnb, Ruby on Rails is one of the most popular frameworks for developing web applications, but it can be challenging to learn and use. Whether you're new to web development or new only to Rails, Ruby on RailsTM Tutorial, Seventh Edition, is the solution. Best-selling author and leading Rails developer Michael Hartl teaches Rails by guiding you through the development of three example applications of increasing sophistication. The tutorial's examples focus on the general principles of web development needed for virtually any kind of website. The updates to this edition include full compatibility with Rails 7. This indispensable guide provides integrated tutorials not only for Rails, but also for the essential Ruby, HTML, CSS, and SQL skills you need when developing web applications. Hartl explains how each new technique solves a real-world problem, and then he demonstrates it with bite-sized code that's simple enough to understand while still being useful. Whatever your previous web-development experience, this book will guide you to true Rails mastery. This book will help you Set up your Rails development environment Record version changes with Git and create a secure remote repository at GitHub Deploy your applications early and often with Heroku Go beyond generated code to truly understand how to build Rails applications from scratch Learn testing and test-driven development (TDD) Effectively use the model-view-controller (MVC) pattern Structure applications using the REST architecture Build static pages and transform them into dynamic ones Master the Ruby programming skills all Rails developers need Create high-quality site layouts and data models Implement registration and authentication systems, including validation and secure passwords Update, display, and delete users Upload and display images using Active Storage and Amazon S3 Implement account activation and password reset, including sending email with Rails Integrate JavaScript with Rails using Importmap Add social features and microblogging, including an introduction to Hotwire and Turbo "Ruby on RailsTM Tutorial by Michael Hartl has become a must-read for developers learning how to build Rails apps." --Peter Cooper, Editor of Ruby Inside Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: Suhas Pote
Publisher: BPB Publications
ISBN: 9355518102
Category : Computers
Languages : en
Pages : 463
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Book Description
Deploy, manage, and scale Machine Learning models with MLOps effortlessly KEY FEATURES ● Explore several ways to build and deploy ML models in production using an automated CI/CD pipeline. ● Develop and convert ML apps into Android and Windows apps. ● Learn how to implement ML model deployment on popular cloud platforms, including Azure, GCP, and AWS. DESCRIPTION ‘Machine Learning in Production’ is an attempt to decipher the path to a remarkable career in the field of MLOps. It is a comprehensive guide to managing the machine learning lifecycle from development to deployment, outlining ways in which you can deploy ML models in production. It starts off with fundamental concepts, an introduction to the ML lifecycle and MLOps, followed by comprehensive step-by-step instructions on how to develop a package for ML code from scratch that can be installed using pip. It then covers MLflow for ML life cycle management, CI/CD pipelines, and shows how to deploy ML applications on Azure, GCP, and AWS. Furthermore, it provides guidance on how to convert Python applications into Android and Windows apps, as well as how to develop ML web apps. Finally, it covers monitoring, the critical topic of machine learning attacks, and A/B testing. With this book, you can easily build and deploy machine learning solutions in production. WHAT YOU WILL LEARN ● Master the Machine Learning lifecycle with MLOps. ● Learn best practices for managing ML models at scale. ● Streamline your ML workflow with MLFlow. ● Implement monitoring solutions using whylogs, WhyLabs, Grafana, and Prometheus. ● Use Docker and Kubernetes for ML deployment. WHO THIS BOOK IS FOR Whether you are a Data scientist, ML engineer, DevOps professional, Software engineer, or Cloud architect, this book will help you get your machine learning models into production quickly and efficiently. TABLE OF CONTENTS 1. Python 101 2. Git and GitHub Fundamentals 3. Challenges in ML Model Deployment 4. Packaging ML Models 5. MLflow-Platform to Manage the ML Life Cycle 6. Docker for ML 7. Build ML Web Apps Using API 8. Build Native ML Apps 9. CI/CD for ML 10. Deploying ML Models on Heroku 11. Deploying ML Models on Microsoft Azure 12. Deploying ML Models on Google Cloud Platform 13. Deploying ML Models on Amazon Web Services 14. Monitoring and Debugging 15. Post-Productionizing ML Models
Author: Jack Stouffer
Publisher: Packt Publishing Ltd
ISBN: 1784391921
Category : Computers
Languages : en
Pages : 288
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Book Description
Gain expertise in Flask to create dynamic and powerful web applications About This Book Work with scalable Flask application structures to create complex web apps Discover the most powerful Flask extensions and learn how to create one Deploy your application to real-world platforms using this step-by-step guide Who This Book Is For If you are a Flask user who knows the basics of the library and how to create basic web pages with HTML and CSS, and you want to take your applications to the next level, this is the book for you. Harnessing the full power of Flask will allow you to create complex web applications with ease. What You Will Learn Set up a best practices Python environment Use SQLAlchemy to programmatically query a database Develop templates in Jinja Set up an MVC environment for Flask Discover NoSQL, when to use it, when not to, and how to use it Develop a custom Flask extension Use Celery to create asynchronous tasks In Detail Flask is a library that allows programmers to create web applications in Python. Flask is a micro-framework that boasts a low learning curve, a large community, and the power to create complex web apps. However, Flask is easy to learn but difficult to master. Starting from a simple Flask app, this book will walk through advanced topics while providing practical examples of the lessons learned. After building a simple Flask app, a proper app structure is demonstrated by transforming the app to use a Model-View-Controller (MVC) architecture. With a scalable structure in hand, the next chapters use Flask extensions to provide extra functionality to the app, including user login and registration, NoSQL querying, a REST API, an admin interface, and more. Next, you'll discover how to use unit testing to take the guesswork away from making sure the code is performing as it should. The book closes with a discussion of the different platforms that are available to deploy a Flask app on, the pros and cons of each one, and how to deploy on each one. Style and approach With plenty of useful examples, this guide introduces new concepts and then shows you how those concepts can be used in a real-world environment. Most sections are based around a single example app that is developed throughout the book.
Author: Keith Moon
Publisher: Packt Publishing Ltd
ISBN: 1839210621
Category : Computers
Languages : en
Pages : 488
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Book Description
Discover recipes for building feature-rich, reliable iOS native apps and explore the latest features in Swift 5.3 with the help of proven industry standard recipes, modern design techniques, and popular strategies Key FeaturesUnderstand how closures work and make use of generics with protocols to write flexible codeDiscover the fundamentals of Swift and build apps with frameworks such as Foundation, Networking, and UIKitGet to grips with the new features of Swift 5.3, including SwiftUI, CoreML and the Vision FrameworkBook Description Swift is an exciting, multi-platform, general-purpose programming language, and with this book, you'll explore the features of its latest version, Swift 5.3. The book begins with an introduction to the basic building blocks of Swift 5.3, its syntax, and the functionalities of Swift constructs. You’ll then discover how Swift Playgrounds provide an ideal platform to write, execute, and debug your Swift code. As you advance through the chapters, the book will show you how to bundle variables into tuples or sets, order your data with an array, store key-value pairs with dictionaries, and use property observers. You’ll also get to grips with the decision-making and control structures in Swift, examine advanced features such as generics and operators, and explore functionalities outside of the standard library. Once you’ve learned how to build iOS applications using UIKit, you'll find out how to use Swift for server-side programming, run Swift on Linux, and investigate Vapor. Finally, you'll discover some of the newest features of Swift 5.3 using SwiftUI and Combine to build adaptive and reactive applications, and find out how to use Swift to build and integrate machine learning models along with Apple’s Vision Framework. By the end of this Swift book, you'll have discovered solutions to boost your productivity while developing code using Swift 5.3. What you will learnExplore basic to advanced concepts in Swift 5.3 programmingUnderstand conditional statements, loops, and how to handle errors in SwiftDefine flexible classes and structs using genericsUse advanced operators and create custom onesBuild iOS apps using the powerful features of UIKit or the new SwiftUI frameworkImport your own custom functionality into Swift PlaygroundsRun Swift on Linux and investigate server-side programming with the server-side framework VaporUse Swift to implement machine learning models using CoreML and VisionWho this book is for This book is for experienced iOS developers looking to learn about the diverse features offered by Swift 5.3, along with tips and tricks to efficiently code and build applications. Knowledge of general programming concepts will assist in understanding key concepts.
Author: Daniel Pritchett
Publisher: Pragmatic Bookshelf
ISBN: 1680507095
Category : Computers
Languages : en
Pages : 284
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Book Description
The next step in the evolution of user interfaces is here. Chatbots let your users interact with your service in their own natural language. Use free and open source tools along with Ruby to build creative, useful, and unexpected interactions for users. Take advantage of the Lita framework's step-by-step implementation strategy to simplify bot development and testing. From novices to experts, chatbots are an area in which everyone can participate. Exercise your creativity by creating chatbot skills for communicating, information, and fun. Developers of all skill levels can craft user experiences that are natural, easy to use, and most of all, fun. Build chatbots using free, open source tools and launch them to popular chat platforms like Slack and Amazon's Alexa. Use the Ruby programming language and the Lita bot framework to unlock fun and powerful chat abilities such as sending text messages and emails, creating new meme images, driving a robot around the room, and talking out loud on a home speaker. Use frameworks available in Ruby and Node.js to get started quickly. Create simple chatbot skills that respond quickly to basic requests. Chain skills together for more complex interactions. Take advantage of test-driven development techniques to build your bots with confidence. Coordinate tasks with colleagues via bot. Connect with external APIs to provide users with data they need. Extract data information from web pages when an API isn't available. Expand your bot's reach with SMS and e-mail messaging. Deploy a chatbot to a host so users can interact with it on their schedule. Build a more responsive, easy-to-use interface for your users today. What You Need: You don't need much to get started with chatbots. A Mac or Linux computer with a recent version of Ruby is recommended. Windows users can keep up with a free virtual machine running Linux. You'll deploy your chatbots for free (or at least cheaply) on cloud hosting platforms like Heroku and Digital Ocean.
