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Pro PowerShell for Amazon Web Services - Emmanuel Tsouris - Bog - APress - Plusbog.dk

Pro PowerShell for Amazon Web Services - Emmanuel Tsouris - Bog - APress - Plusbog.dk

Amazon Web Services (AWS) is the leading public cloud platform. In this book you will learn to use Microsoft PowerShell to create, host, manage, and administer workloads using Amazon Web Services. You will learn how to create virtual machines, provision storage, configure networks, and more-all using your preferred Windows scripting language. CIOs everywhere are leading their organizations to the cloud, but there are few books available to help. This book focuses on moving Microsoft Windows workloads to the cloud using technologies familiar to enterprise Microsoft-based professionals. The completely revised and expanded Pro PowerShell for Amazon Web Services is written specifically for Windows professionals who already know PowerShell and want to learn to host Windows workloads on Amazon Web Services. The cloud offers information technology workers significant cost savings and agility unimaginable even just a few years ago. Tasks that traditionally took weeks of work, costing thousands of dollars, can be completed in minutes for a fraction of a penny. New chapters in this second edition cover: AWS Lambda, Amazon WorkSpaces, Amazon AppStream 2.0, AWS Directory Service, Amazon WorkDocs, and AWS System Manager. What You''ll Learn - Create and manage Windows servers on Elastic Compute Cloud (EC2) - Configure and secure networks with Virtual Private Cloud (VPC) - Leverage autoscaling to adjust resources as load changes - Deploy and manage SQL Server using the Relational Database Service (RDS) - Manage virtual desktops using WorkSpaces and AppStream - Leverage AWS Systems Manager to manage Windows at scale Who This Book Is For Windows professionals who want to learn more about Amazon Web Services, with a focus on running Windows workloads and automated management at scale using PowerShell tools for AWS. The book assumes you have knowledge of Windows and PowerShell, but are new to AWS.

DKK 519.00
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Beginning Game Development with Amazon Lumberyard - Jaken Chandler Herman - Bog - APress - Plusbog.dk

Beginning Game Development with Amazon Lumberyard - Jaken Chandler Herman - Bog - APress - Plusbog.dk

Create stunning 3D games in a short amount of time using Amazon Lumberyard, a free and exciting game development platform. This book is a ground-up, out-of-the-box tutorial on 3D game development and programming with Lua and Amazon Lumberyard with little or no game development experience required. Beginning Game Development with Amazon Lumberyard walks you through the user interface of the Amazon Lumberyard engine; teaches you how to develop detailed terrain using heightmaps, megatextures, weather, and vegetation; and takes you through exporting the game for distribution. The book will show you how to create a player as well as enemies while not getting bogged down with third-party tools for animation or model creation. You will also work with simple physics, colliders, meshes, weather generation, Lua scripting, user interface development, and much more. By the end of the book, you will be able to create many different types of video games using the Amazon Lumberyard engine and even have a completed project ready to release or put in your portfolio. What You Will Learn - Discover the mechanics and terminology of game development - Familiarize yourself with the Amazon Lumberyard game engine in detail - Modify game scripts using the Lua language - Discover how to optimally structure game layers Who This Book is For Developers, programmers, and would-be game designers who have long wanted to dip their toes into the world of game development but have found other game engines and platforms to have too high a barrier to entry.

DKK 332.00
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Deploy Containers on AWS - Shimon Ifrah - Bog - APress - Plusbog.dk

Deep Learning with Python - Nihkil Ketkar - Bog - APress - Plusbog.dk

Deep Learning with Python - Nihkil Ketkar - Bog - APress - Plusbog.dk

Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms. This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included. Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments. What You Will Learn - Leverage deep learning frameworks in Python namely, Keras, Theano, and Caffe - Gain the fundamentals of deep learning with mathematical prerequisites - Discover the practical considerations of large scale experiments - Take deep learning models to production Who This Book Is For Software developers who want to try out deep learning as a practical solution to a particular problem. Software developers in a data science team who want to take deep learning models developed by data scientists to production.

DKK 593.00
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Beginning Visual Studio for Mac - Alessandro Del Sole - Bog - APress - Plusbog.dk

DKK 593.00
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Learn Rails 6 - Adam Notodikromo - Bog - APress - Plusbog.dk

Beginning DevOps on AWS for iOS Development - Abdullahi Olaoye - Bog - APress - Plusbog.dk

Beginning DevOps on AWS for iOS Development - Abdullahi Olaoye - Bog - APress - Plusbog.dk

Apply the principles of DevOps in software development—automated builds, automated tests, and continuous deployment and delivery—to iOS application development on Amazon Web Services (AWS) cloud. This book provides detailed walkthroughs and example source code is provided for the concepts discussed so you can put theory into practical application. You'll start by building a basic iOS application and then dive deep into key AWS Developer tools and services to see how they can be used in iOS application development. Then review the details of the integration of these fully managed AWS services with open-source tools such as Jenkins and Fastlane that allow developers to get the best of both worlds and further help to enhance and increase agility in the development lifecycle of iOS apps. You'll also investigate the Amazon EC2 Mac instance, which allows you to run XCode in a cloud environment for the first time to leverage the flexibility,elasticity, and scale of AWS. It also allows for seamless integration of XCode with fully managed AWS Services from source code control to application deployment. Finally, the book covers how a fully managed Continuous Integration Continuous Deployment (CICD) pipeline can be used to orchestrate all the different components of iOS application development to achieve a fully automated development lifecycle. Get started building your iOS applications using a fully automated process on the AWS Cloud today!What You'll LearnBuild an iOS application using AWS DevOps tools Incorporate continuous deployment in your iOS application development Integrate AWS tooling with Xcode and open source tools such as Jenkins and FastlaneWho This Book Is For?iOS application developers wanting to incorporate DevOps andCloud Architecture into their development process.

DKK 391.00
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Spring Boot with React and AWS - Namrata Soni - Bog - APress - Plusbog.dk

Spring Boot with React and AWS - Namrata Soni - Bog - APress - Plusbog.dk

Create and deploy full-stack Spring Boot applications with React and AWS. This practical and authoritative guide teaches you the fundamentals of Amazon Web Services with no prior experience. You will start by learning the fundamentals of AWS, including EC2, S3, IAM, and load balancer. Next, you will learn to deploy a Spring Boot REST API to AWS with Elastic Beanstalk, which will give you the ability to build and deploy a Spring Boot application. You will explore the RDS relational database and create an instance of a MySQL database in AWS with RDS. You will then deploy a Spring Boot application to MySQL in AWS and deploy a full-stack Spring Boot React application to AWS using Elastic Beanstalk and S3. Lastly, you will be introduced to ELB, CloudWatch, and Route 53. By the end of this book you will understand full-stack Spring Boot React applications and their deployment. If you prefer "learning by coding" then Spring Boot with React and AWS is the book for you. What You''ll Learn - Review the fundamentals of Amazon Web Services - Install a Spring Boot REST API with CRUD operation to AWS using AWS Elastic Beanstalk - Deploy a full-stack Spring Boot React application to AWS using AWS Elastic Beanstalk and S3 - Work with MySQL as a database in AWS using RDS - Use Spring Boot with React and AWS Who This Book Is For Ideal for readers who have some programming experience with Java, Spring Boot, and React, and who now want to deploy a full-stack Spring Boot React application to AWS using AWS Elastic Beanstalk and S3.

DKK 468.00
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Practical Java Machine Learning - Mark Wickham - Bog - APress - Plusbog.dk

Practical Java Machine Learning - Mark Wickham - Bog - APress - Plusbog.dk

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your data including JSON, visualization, NoSQL databases, and cloud platforms including Google Cloud Platform and Amazon Web Services. Practical Java Machine Learning includes multiple projects, with particular focus on the Android mobile platform and features such as sensors, camera, and connectivity, each of which produce data that can power unique machine learning solutions. You will learn to build a variety of applications that demonstrate the capabilities of the Google Cloud Platform machine learning API, including data visualization for Java; document classification using the Weka ML environment; audio file classification for Android using ML with spectrogram voice data; and machine learning using device sensor data. After reading this book, you will come away with case study examples and projects that you can take away as templates for re-use and exploration for your own machine learning programming projects with Java. What You Will Learn - Identify, organize, and architect the data required for ML projects - Deploy ML solutions in conjunction with cloud providers such as Google and Amazon - Determine which algorithm is the most appropriate for a specific ML problem - Implement Java ML solutions on Android mobile devices - Create Java ML solutions to work with sensor data - Build Java streaming based solutions Who This Book Is For Experienced Java developers who have not implemented machine learning techniques before.

DKK 426.00
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Advanced R 4 Data Programming and the Cloud - Joshua F. Wiley - Bog - APress - Plusbog.dk

Advanced R 4 Data Programming and the Cloud - Joshua F. Wiley - Bog - APress - Plusbog.dk

Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as a new color palette for charts, an enhanced reference counting system, and normalization of matrix and array types where matrix objects now formally inherit from the array class, eliminating inconsistencies. Advanced R 4 Data Programming and the Cloud is not designed to teach advanced R programming nor to teach the theory behind statistical procedures. Rather, it is designed to be a practical guide moving beyond merely using R; it shows you how to program in R to automate tasks. This book will teach you how to manipulate data in modern R structures and includes connecting R to databases such as PostgreSQL, cloud services such as Amazon Web Services (AWS), and digital dashboards such as Shiny. Each chapter also includes a detailed bibliography with references to research articles and other resources that cover relevant conceptual and theoretical topics. What You Will Learn - Write and document R functions using R 4 - Make an R package and share it via GitHub or privately - Add tests to R code to ensure it works as intended - Use R to talk directly to databases and do complex data management - Run R in the Amazon cloud - Deploy a Shiny digital dashboard - Generate presentation-ready tables and reports using R Who This Book Is For Working professionals, researchers, and students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to take their R coding and programming to the next level.

DKK 509.00
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SAP S/4HANA Systems in Hyperscaler Clouds - Johannes Rank - Bog - APress - Plusbog.dk

SAP S/4HANA Systems in Hyperscaler Clouds - Johannes Rank - Bog - APress - Plusbog.dk

This book helps SAP architects and SAP Basis administrators deploy and operate SAP S/4HANA systems on the most common public cloud platforms. Market-leading cloud offerings are covered, including Amazon Web Services, Microsoft Azure, and Google Cloud. You will gain an end-to-end understanding of the initial implementation of SAP S/4HANA systems on those platforms. You will learn how to move away from the big monolithic SAP ERP systems and arrive at an environment with a central SAP S/4HANA system as the digital core surrounded by cloud-native services. The book begins by introducing the core concepts of Hyperscaler cloud platforms that are relevant to SAP. You will learn about the architecture of SAP S/4HANA systems on public cloud platforms, with specific content provided for each of the major platforms. The book simplifies the deployment of SAP S/4HANA systems in public clouds by providing step-by-step instructions and helping you deal with thecomplexity of such a deployment. Content in the book is based on best practices, industry lessons learned, and architectural blueprints, helping you develop deep insights into the operations of SAP S/4HANA systems on public cloud platforms. Reading this book enables you to build and operate your own SAP S/4HANA system in the public cloud with a minimum of effort. What You Will LearnChoose the right Hyperscaler platform for your future SAP S/4HANA workloadsStart deploying your first SAP S/4HANA system in the public cloudAvoid typical pitfalls during your implementationApply and leverage cloud-native services for your SAP S/4HANA systemSave costs by choosing the right architecture and build a robust architecture for your most critical SAP systemsMeet your business’ criteria for availability and performance by having the right sizing in placeIdentify further use cases whenoperating SAP S/4HANA in the public cloudWho This Book Is ForSAP architects looking for an answer on how to move SAP S/4HANA systems from on-premises into the cloud; those planning to deploy to one of the three major platforms from Amazon Web Services, Microsoft Azure, and Google Cloud Platform; and SAP Basis administrators seeking a detailed and realistic description of how to get started on a migration to the cloud and how to drive that cloud implementation to completion

DKK 476.00
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The Definitive Guide to AWS Application Integration - Reshma Beesetty - Bog - APress - Plusbog.dk

Distributed Serverless Architectures on AWS - Jithin Jude Paul - Bog - APress - Plusbog.dk

Distributed Serverless Architectures on AWS - Jithin Jude Paul - Bog - APress - Plusbog.dk

Explore the serverless world using Amazon Web Services (AWS) and develop various architectures, including those for event-driven and disaster recovery designs. This book will give you an understanding of different distributed serverless architectures and how to build them using AWS components. You will begin with an introduction to serverless components and architectures, before progressing to data platforms and containers. Next, you''ll dig deeper into these serverless architectures and how they leverage AWS components through practical use cases. You will also explore designing systems in a multi-cloud paradigm. Author Jithin Jude Paul then demonstrates how efficient serverless architectures are, and the benefits of designing distributed systems globally in a cost-effective way while incorporating a microservices architectural style. Distributed Serverless Architectures with AWS concludes with a discussion of current and future trends in serverless frameworks. After completing this book, you''ll be able to design distributed serverless architectures using AWS. What You''ll Learn - Gain an overview of different serverless architectures - Design and build distributed systems using serverless components - Build serverless data and container platforms on AWS - Plan a multi-cloud strategy using serverless components Who This Book Is For Cloud engineers, DevOps engineers, and architects focused on the AWS ecosystem, as well as software engineers/developers working with AWS.

DKK 476.00
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Serverless Web Applications with AWS Amplify - Akshat Paul - Bog - APress - Plusbog.dk

Practical Rust Web Projects - Shing Lyu - Bog - APress - Plusbog.dk

Cloud Computing with AWS - Pravin Mishra - Bog - APress - Plusbog.dk

How to Create a Web3 Startup - Tom Taulli - Bog - APress - Plusbog.dk

How to Create a Web3 Startup - Tom Taulli - Bog - APress - Plusbog.dk

Web3 is the next evolution for the World Wide Web based on Blockchain technology. ​This book will equip entrepreneurs with the best preparation for the megatrend of Web3 by reviewing its core concepts such as DAOs, tokens, dApps, and Ethereum. With Web2, much of the valuable data and wealth has been concentrated with a handful of mega tech operators like Apple, Facebook, Google and Amazon. This has made it difficult for startups to get an edge. It has also meant that users have had little choice but to give up their value data for free. Web3 aims to upend this model using a decentralized approach that is on the blockchain and crypto. This allows for users to become stakeholders in the ecosystem. Along with exploring core concepts of Web3 like DAOs, tokens, dApps, and Ethereum, this book will also examine the main categories that are poised for enormous opportunities. They include infrastructure, consumer apps, enterprise apps, and the metaverse. For each of these, I will have use cases of successful companies. How To Create a Web3 Startup covers the unique funding strategies, the toolsets needed, the talent required, the go-to-market approaches, and challenges faced. What You''ll Learn - Work with the dev stack components - Examine the success factors for infrastructure, consumer, enterprise, verticals, and the Metaverse - Understand the risks of Web3, like the regulatory structure and security breaches Who This Book Is For Startup entrepreneurs and those looking to work in the Web3 industry.

DKK 385.00
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Practical Rust Projects - Andrew Rzeznik - Bog - APress - Plusbog.dk

Practical Rust Projects - Andrew Rzeznik - Bog - APress - Plusbog.dk

Go beyond the basics and build complete applications using the Rust programming language, updated for Rust 2021 edition. The applications you''ll build over the course of this book include a high-performance web client, an embedded computer (for a robot, for example), a game, a serverless web app, and an application that incorporates AI and machine learning. Each chapter is organized in the following format: what the kind of should application look like; requirements and user stories of our example program; an introduction to the Rust libraries used; the actual implementation of the example program, including common pitfalls and their solutions; and a brief comparison of libraries for building each application, if there is no clear preference. Practical Rust Projects, Second Edition will open your eyes to how Rust can be put to practical, real-world use. After reading this book, you will be able to use Rust to build a variety of your own projects. What You Will Learn - Explore practical Rust programming language-based projects, examples and case studies - Create a GUI - Build a high performance web Front-end using WebAssembly - Develop REST APIs using Rust - Go serverless to develop a cloud application using the Amazon AWS Rust SDK - Create a game using Rust, along with AI and machine learning apps Who This Book Is For Those with basic Rust knowledge who want to learn more about how to apply Rust in real-world scenarios.

DKK 519.00
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The Cloud DBA-Oracle - Niraj Mahajan - Bog - APress - Plusbog.dk

The Cloud DBA-Oracle - Niraj Mahajan - Bog - APress - Plusbog.dk

Learn how to define strategies for cloud adoption of your Oracle database landscape. Understand private cloud, public cloud, and hybrid cloud computing in order to successfully design and manage databases in the cloud. The Cloud DBA-Oracle provides an overview of Database-as-a-Service (DBaaS) that you can use in defining your cloud adoption strategy. In-depth details of various cloud service providers for Oracle database are given, including Oracle Cloud and Amazon Web Services (AWS). Database administration techniques relevant to hosting databases in the cloud are shown in the book as well as the technical details needed to perform all database administration tasks and activities, such as migration to the cloud, backup in the cloud, and new database setup in the cloud. You will learn from real-world business cases and practical examples of administration of Oracle database in the cloud, highlighting the challenges faced and solutions implemented. What you will learn: - Cloud computing concepts from the DBA perspective, such as private cloud, public cloud, hybrid cloud - Technical details of all aspects of cloud database administration - Challenges faced during setup of databases in private cloud or database migration to public cloud - Key points to be kept in mind during database administration in the cloud - Practical examples of successful Oracle database cloud migration and support Who Is This Book For All levels of IT professionals, from executives responsible for determining database strategies to database administrators and database architects who manage and design databases.

DKK 385.00
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Analytics for Retail - Rhoda Okunev - Bog - APress - Plusbog.dk

Analytics for Retail - Rhoda Okunev - Bog - APress - Plusbog.dk

Examine select retail business scenarios to learn basic mathematics, as well as probability and statistics required to analyze big data. This book focuses on useful and imperative applied analytics needed to build a retail business and explains mathematical concepts essential for decision making and communication in retail business environments. Everyone is a buyer or seller of products these days whether through a physical department store, Amazon, or their own business website. This book is a step-by-step guide to understanding and managing the mechanics of markups, markdowns, and basic statistics, math and computers that will help in your retail business. You''ll tackle what to do with data once it is has accumulated and see how to arrange the data using descriptive statistics, primarily means, median, and mode, and then how to read the corresponding charts and graphs. Analytics for Retail is your path to creating visual representations that powerfully communicate information and drive decisions. What You''ll Learn - Review standard statistical concepts to enhance your understanding of retail data - Understand the concepts of markups, markdowns and profit margins, and probability - Conduct an A/B testing email campaign with all the relevant analytics calculated and explained Who This Book Is For This is a primer book for anyone in the field of retail that needs to learn or refresh their skills or for a reader who wants to move in their company to a more analytical position.

DKK 326.00
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Getting Structured Data from the Internet - Jay M. Patel - Bog - APress - Plusbog.dk

Getting Structured Data from the Internet - Jay M. Patel - Bog - APress - Plusbog.dk

Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats such as CSV, Excel, JSON, or load it into a SQL database of your choice. This book goes beyond the basics of web scraping and covers advanced topics such as natural language processing (NLP) and text analytics to extract names of people, places, email addresses, contact details, etc., from a page at production scale using distributed big data techniques on an Amazon Web Services (AWS)-based cloud infrastructure. It book covers developing a robust data processing and ingestion pipeline on the Common Crawl corpus, containing petabytes of data publicly available and a web crawl data set available on AWS''s registry of open data. Getting Structured Data from the Internet also includes a step-by-step tutorial on deploying your own crawlers using a production web scraping framework (such as Scrapy) and dealing with real-world issues (such as breaking Captcha, proxy IP rotation, and more). Code used in the book is provided to help you understand the concepts in practice and write your own web crawler to power your business ideas. What You Will Learn - Understand web scraping, its applications/uses, and how to avoid web scraping by hitting publicly available rest API endpoints to directly get data - Develop a web scraper and crawler from scratch using lxml and BeautifulSoup library, and learn about scraping from JavaScript-enabled pages using Selenium - Use AWS-based cloud computing with EC2, S3, Athena, SQS, and SNS to analyze, extract, and store useful insights from crawled pages - Use SQL language on PostgreSQL running on Amazon Relational Database Service (RDS) and SQLite using SQLalchemy - Review sci-kit learn, Gensim, and spaCy to perform NLP tasks on scraped web pages such as name entity recognition, topic clustering (Kmeans, Agglomerative Clustering), topic modeling (LDA, NMF, LSI), topic classification (naive Bayes, Gradient Boosting Classifier) and text similarity (cosine distance-based nearest neighbors) - Handle web archival file formats and explore Common Crawl open data on AWS - Illustrate practical applications for web crawl data by building a similar website tool and a technology profiler similar to builtwith.com - Write scripts to create a backlinks database on a web scale similar to Ahrefs.com, Moz.com, Majestic.com, etc., for search engine optimization (SEO), competitor research, and determining website domain authority and ranking - Use web crawl data to build a news sentiment analysis system or alternative financial analysis covering stock market trading signals - Write a production-ready crawler in Python using Scrapy framework and deal with practical workarounds for Captchas, IP rotation, and more Who This Book Is For Primary audience: data analysts and scientists with little to no exposure to real-world data processing challenges, secondary: experienced software developers doing web-heavy data processing who need a primer, tertiary: business owners and startup founders who need to know more about implementation to better direct their technical team

DKK 509.00
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Building Scalable PHP Web Applications Using the Cloud - Jonathan Bartlett - Bog - APress - Plusbog.dk

Building Scalable PHP Web Applications Using the Cloud - Jonathan Bartlett - Bog - APress - Plusbog.dk

Eliminate the guesswork involved in writing and deploying a cloud application. This step-by-step guide uses PHP to minimize the complexity of the code and setup, but the tools and techniques can be applied on any platform using any language. Everything that you need to jumpstart your application on the cloud is right here. Clear diagrams, step-by-step configuration information, and complete code listings tell you everything you need to get off the ground and start developing your cloud application today. This book introduces several cloud architectures and technologies that will help you accelerate your application in the cloud. Chapters cover load-balanced clusters, database replication, caching configuration, content delivery networks, infinite-scale file storage, and cloud system administration. Cloud computing has dramatically changed the landscape of web hosting. Instead of spending weeks negotiating contracts for servers, new servers can be deployed with the push of a button, and your application can be resized almost instantly to meet today''s needs. No matter what size of web application you are developing, you can benefit from modern cloud servers, and this is the guide to tell you how. What You''ll Learn - Use the cloud and its various platforms with Docker management tools - Build a simple PHP-based scalable web application - Create a basic cloud cluster - Work with Amazon and Google Cloud Platform in your PHP web application development Who This Book Is For Developers who have some prior programming experience, including PHP, and who are new to building applications

DKK 307.00
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Practical Ansible - Vincent Sesto - Bog - APress - Plusbog.dk

Practical Ansible - Vincent Sesto - Bog - APress - Plusbog.dk

Get ready to go from the basics of using Ansible to becoming proficient at implementing configuration management in your projects. This book begins with the basics of Ansible, providing you with details on how to install and configure your environment while working with different Ansible modules from the command line. Next, it introduces you to working with Ansible tasks and organizing configuration code into playbooks. You''ll then learn how to extend playbooks further, using roles and templates within the configuration code. Author Vincent Sesto then extends your knowledge further by covering custom Ansible modules using Python and Linux shell scripts and demonstrating how you can start to keep your secret values encrypted and secure using Ansible Vault. You''ll also develop Ansible roles with the use of Ansible Galaxy to reuse existing roles that others have created. This updated edition reflects changes added in the latest version of Ansible (2.9). It also includes an expanded chapter on testing Ansible using Molecule and managing large server environments using applications like Ansible Tower. What Will You Learn - Understand what Ansible is and how to install and run your first basic command line commands - Expand your configuration management using Ansible playbooks, roles and templates - Customize your code further using Ansible Vault and third-party roles in Ansible Galaxy. - Work with Ansible in managing cloud infrastructure, specifically in Amazon Web Services - Troubleshoot your Ansible code and use frameworks like Molecule and Testinfra to help test your code changes - Manage large server environments using real-world examples and extend your configurations using an application like Ansible Tower Who This Book Is For Systems Engineers, Developers, DevOps Engineers and Software Administrators. 1)

DKK 391.00
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Data-Driven Alexa Skills - Simon A. Kingaby - Bog - APress - Plusbog.dk

Data-Driven Alexa Skills - Simon A. Kingaby - Bog - APress - Plusbog.dk

Design and build innovative, custom, data-driven Alexa skills for home or business. Working through several projects, this book teaches you how to build Alexa skills and integrate them with online APIs. If you have basic Python skills, this book will show you how to build data-driven Alexa skills. You will learn to use data to give your Alexa skills dynamic intelligence, in-depth knowledge, and the ability to remember. Data-Driven Alexa Skills takes a step-by-step approach to skill development. You will begin by configuring simple skills in the Alexa Skill Builder Console. Then you will develop advanced custom skills that use several Alexa Skill Development Kit features to integrate with lambda functions, Amazon Web Services (AWS), and Internet data feeds. These advanced skills enable you to link user accounts, query and store data using a NoSQL database, and access real estate listings and stock prices via web APIs. What You Will LearnSet up and configure your development environment properly the first timeBuild Alexa skills quickly and efficiently using Agile tools and techniquesCreate a variety of data-driven Alexa skills for home and businessAccess data from web applications and Internet data sources via their APIsTest with unit-testing frameworks throughout the development life cycleManage and query your data using the DynamoDb NoSQL database enginesWho This Book Is ForDevelopers who wish to go beyond Hello World and build complex, data-driven applications on Amazon's Alexa platform; developers who want to learn how to use Lambda functions, the Alexa Skills SDK, Alexa Presentation Language, and Alexa Conversations; developers interested in integrating with public APIs such as real estatelistings and stock market prices. Readers will need to have basic Python skills.

DKK 519.00
1