The second page-turning adventure in this sharp-witted, magical mystery series. When reports come in that valuable magical objects are being stolen, Goodly and Grave are on the case, but just when they think they know whodunit their prime suspect turns up – murdered! Will Lucy be able to track the real villain without putting herself in deadly danger…? A page-turning mystery with a magical twist.

He’ll do anything to wed his princess… Even if it means stealing her away! Shy palace governess Olivia Taylor spends her life being overlooked. Until the night brooding Prince Zayed spirits her away! To reclaim his country, Zayed must wed his betrothed. But when it becomes clear that Olivia is the wrong bride can they put their mistake right? And, with such heated chemistry between them, do they want to…?

Simplify machine learning model implementations with Spark About This Book ? Solve the day-to-day problems of data science with Spark ? This unique cookbook consists of exciting and intuitive numerical recipes ? Optimize your work by acquiring, cleaning, analyzing, predicting, and visualizing your data Who This Book Is For This book is for Scala developers with a fairly good exposure to and understanding of machine learning techniques, but lack practical implementations with Spark. A solid knowledge of machine learning algorithms is assumed, as well as hands-on experience of implementing ML algorithms with Scala. However, you do not need to be acquainted with the Spark ML libraries and ecosystem. What You Will Learn ? Get to know how Scala and Spark go hand-in-hand for developers when developing ML systems with Spark ? Build a recommendation engine that scales with Spark ? Find out how to build unsupervised clustering systems to classify data in Spark ? Build machine learning systems with the Decision Tree and Ensemble models in Spark ? Deal with the curse of high-dimensionality in big data using Spark ? Implement Text analytics for Search Engines in Spark ? Streaming Machine Learning System implementation using Spark In Detail Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. Learning about algorithms enables a wide range of applications, from everyday tasks such as product recommendations and spam filtering to cutting edge applications such as self-driving cars and personalized medicine. You will gain hands-on experience of applying these principles using Apache Spark, a resilient cluster computing system well suited for large-scale machine learning tasks. This book begins with a quick overview of setting up the necessary IDEs to facilitate the execution of code examples that will be covered in various chapters. It also highlights some key issues developers face while working with machine learning algorithms on the Spark platform. We progress by uncovering the various Spark APIs and the implementation of ML algorithms with developing classification systems, recommendation engines, text analytics, clustering, and learning systems. Toward the final chapters, we’ll focus on building high-end applications and explain various unsupervised methodologies and challenges to tackle when implementing with big data ML systems. Style and approach This book is packed with intuitive recipes supported with line-by-line explanations to help you understand how to optimize your work flow and resolve problems when working with complex data modeling tasks and predictive algorithms. This is a valuable resource for data scientists and those working on large scale data projects.

How do you find a missing actress in a city where everyone’s playing a role? ‘FABULOUS!’ Helen Simonson, author of Major Pettigrew’s Last Stand ‘Scintillating’ Observer ‘Vibrant and atmospheric’ Daily Express Soho. 1965, When an American actress disappears from the Galaxy Theatre, her young dresser, Anna Treadway is determined to find out what happened to her. Anna's search will lead her through a London she barely knew existed: a city of reggae clubs and back street doctors, of dangerous prejudice and unexpected allies. She is aided by a disparate group of émigrés, each carrying secrets of their own. But before she can discover the truth about Iolanthe, Anna will need to open herself – to her past, her present and the possibility of love.

A family for the bachelor doc? Burns specialist Dr Matthew McGrory is finally living the bachelor life after years of responsibility raising his siblings alone. But he can't ignore the pull he feels towards beautiful Quinn Grady, foster mum to his favourite young patient. Having learned the hard way that he can't rely on other people, Quinn is uber-protective of little Simon - and her heart. But as Matthew's hero status grows in the eyes of her young charge she just might find he's the hero she's dreamed of too...

Richard Carlson PhD is a stress consultant in private practice and the best-selling author of numerous books, including Don't Sweat the Small Stuff and Slowing Down to the Speed of Life. He is also the co-author of Handbook for the Soul.

Over 80 recipes to help you breeze through your data analysis projects using R About This Book ? Analyse your data using the popular R packages like ggplot2 with ready-to-use and customizable recipes ? Find meaningful insights from your data and generate dynamic reports ? A practical guide to help you put your data analysis skills in R to practical use Who This Book Is For This book is for data scientists, analysts and even enthusiasts who want to learn and implement the various data analysis techniques using R in a practical way. Those looking for quick, handy solutions to common tasks and challenges in data analysis will find this book to be very useful. Basic knowledge of statistics and R programming is assumed. What You Will Learn ? Acquire, format and visualize your data using R ? Using R to perform an Exploratory data analysis ? Introduction to machine learning algorithms such as classification and regression ? Get started with social network analysis ? Generate dynamic reporting with Shiny ? Get started with geospatial analysis ? Handling large data with R using Spark and MongoDB ? Build Recommendation system- Collaborative Filtering, Content based and Hybrid ? Learn real world dataset examples- Fraud Detection and Image Recognition In Detail Data analytics with R has emerged as a very important focus for organizations of all kinds. R enables even those with only an intuitive grasp of the underlying concepts, without a deep mathematical background, to unleash powerful and detailed examinations of their data. This book will show you how you can put your data analysis skills in R to practical use, with recipes catering to the basic as well as advanced data analysis tasks. Right from acquiring your data and preparing it for analysis to the more complex data analysis techniques, the book will show you how you can implement each technique in the best possible manner. You will also visualize your data using the popular R packages like ggplot2 and gain hidden insights from it. Starting with implementing the basic data analysis concepts like handling your data to creating basic plots, you will master the more advanced data analysis techniques like performing cluster analysis, and generating effective analysis reports and visualizations. Throughout the book, you will get to know the common problems and obstacles you might encounter while implementing each of the data analysis techniques in R, with ways to overcoming them in the easiest possible way. By the end of this book, you will have all the knowledge you need to become an expert in data analysis with R, and put your skills to test in real-world scenarios. Style and Approach ? Hands-on recipes to walk through data science challenges using R ? Your one-stop solution for common and not-so-common pain points while performing real-world problems to execute a series of tasks. ? Addressing your common and not-so-common pain points, this is a book that you must have on the shelf

Build simple, maintainable, and easy to deploy machine learning applications. About This Book ? Build simple, but powerful, machine learning applications that leverage Go’s standard library along with popular Go packages. ? Learn the statistics, algorithms, and techniques needed to successfully implement machine learning in Go ? Understand when and how to integrate certain types of machine learning model in Go applications. Who This Book Is For This book is for Go developers who are familiar with the Go syntax and can develop, build, and run basic Go programs. If you want to explore the field of machine learning and you love Go, then this book is for you! Machine Learning with Go will give readers the practical skills to perform the most common machine learning tasks with Go. Familiarity with some statistics and math topics is necessary. What You Will Learn ? Learn about data gathering, organization, parsing, and cleaning. ? Explore matrices, linear algebra, statistics, and probability. ? See how to evaluate and validate models. ? Look at regression, classification, clustering. ? Learn about neural networks and deep learning ? Utilize times series models and anomaly detection. ? Get to grip with techniques for deploying and distributing analyses and models. ? Optimize machine learning workflow techniques In Detail The mission of this book is to turn readers into productive, innovative data analysts who leverage Go to build robust and valuable applications. To this end, the book clearly introduces the technical aspects of building predictive models in Go, but it also helps the reader understand how machine learning workflows are being applied in real-world scenarios. Machine Learning with Go shows readers how to be productive in machine learning while also producing applications that maintain a high level of integrity. It also gives readers patterns to overcome challenges that are often encountered when trying to integrate machine learning in an engineering organization. The readers will begin by gaining a solid understanding of how to gather, organize, and parse real-work data from a variety of sources. Readers will then develop a solid statistical toolkit that will allow them to quickly understand gain intuition about the content of a dataset. Finally, the readers will gain hands-on experience implementing essential machine learning techniques (regression, classification, clustering, and so on) with the relevant Go packages. Finally, the reader will have a solid machine learning mindset and a powerful Go toolkit of techniques, packages, and example implementations. Style and approach This book connects the fundamental, theoretical concepts behind Machine Learning to practical implementations using the Go programming language.

Over 60 hands-on recipes that get you acquainted with Drupal 8's features and help you harness its power About This Book ? Discover the enhanced content authoring experience that comes with Drupal 8 and how to customize it ? Take advantage of the broadened multilingual and tools of the new version to provide an internationalized website ? This step-by-step guide will show you how to deploy from development, staging, and production of a website with Drupal 8's brand new configuration management system Who This Book Is For The audience of the Drupal 8 Cookbook have been using Drupal and are ready to get a grasp of what to expect in Drupal 8. They have worked with Drupal as site builders, back-end developers, and front-end developers and are eager to see what awaits when they start using Drupal 8. This book will be a resource that allows them to get started and have a reference to building new applications with Drupal. What You Will Learn ? Extend Drupal through contributed or custom modules and themes ? Develop an internationalized website with Drupal's multilingual tools ? Integrate third-party front-end and back-end libraries with Drupal ? Turn Drupal into a web services provider using REST ? Create a mobile-first responsive Drupal application ? Run SimpleTest and PHPUnit to test Drupal ? Understand the plugin system that powers many of Drupal 8's new APIs to extend its functionality ? Get to grips with the mechanics of the configuration management system and the ability to import and export site configuration In Detail Began as a message board, Drupal today is open source software maintained and developed by a community of over 1,000,000 users and developers. Drupal is used by numerous local businesses to global corporations and diverse organizations all across the globe. With Drupal 8’s exciting features it brings, this book will be your go-to guide to experimenting with all of these features through helpful recipes. We’ll start by showing you how to customize and configure the Drupal environment as per your requirements, as well as how to install third-party libraries and then use them in the Drupal environment. Then we will move on to creating blocks and custom modules with the help of libraries. We will show you how to use the latest mobile-first feature of Drupal 8, which will help you make your apps responsive across all the major platforms. This book will also show you how to incorporate multilingual facilities in your sites, use web services and third-party plugins with your applications from inside Drupal 8, and test and deploy your apps. Style and approach This practical, recipe-based book will provide you with actionable techniques and methods to improve your existing Drupal development skills.

Over 100 hands-on recipes to build web applications easily and efficiently IN Spring 5.0 About This Book ? Solve real-world problems using the latest features of the Spring framework like Reactive Streams and the Functional Web Framework. ? Learn how to use dependency injection and aspect-oriented programming to write compartmentalized and testable code. ? Understand when to choose between Spring MVC and Spring Web Reactive for your projects Who This Book Is For Java developers who would like to gain in-depth knowledge of how to overcome problems that they face while developing great Spring applications. It will also cater to Spring enthusiasts, users and experts who need an arena for comparative analysis, new ideas and inquiries on some details regarding Spring 5.0 and its previous releases. A basic knowledge of Spring development is essential What You Will Learn ? Understand how functional programming and concurrency in JDK 1.9 works, and how it will affect Spring 5.0 ? Learn the importance and application of reactive programming in creating services, and also the process of creating asynchronous MVC applications ? Implement different Spring Data modules ? Integrate Spring Security to the container ? Create applications and deploy using Spring Boot ? Conceptualize the architecture behind Microservices and learn the details of its implementation ? Create different test cases for the components of Spring 5.0 components In Detail The Spring framework has been the go-to framework for Java developers for quite some time. It enhances modularity, provides more readable code, and enables the developer to focus on developing the application while the underlying framework takes care of transaction APIs, remote APIs, JMX APIs, and JMS APIs. The upcoming version of the Spring Framework has a lot to offer, above and beyond the platform upgrade to Java 9, and this book will show you all you need to know to overcome common to advanced problems you might face. Each recipe will showcase some old and new issues and solutions, right from configuring Spring 5.0 container to testing its components. Most importantly, the book will highlight concurrent processes, asynchronous MVC and reactive programming using Reactor Core APIs. Aside from the core components, this book will also include integration of third-party technologies that are mostly needed in building enterprise applications. By the end of the book, the reader will not only be well versed with the essential concepts of Spring, but will also have mastered its latest features in a solution-oriented manner. Style and Approach This book follows a cookbook style approach, presenting a problem and showing you how to overcome it with useful recipes. The examples provided will help you code along as you learn.

An audacious, compassionate state-of-the-nation novel about four strangers whose lives collide with far-reaching consequences. Beatrice Kizza, a woman in flight from a homeland that condemned her for daring to love, flees to London. There, she shields her sorrow from the indifference of her adopted city, and navigates a night-time world of shift-work and bedsits. Howard Pink is a self-made millionaire who has risen from Petticoat Lane to the mansions of Kensington on a tide of determination and bluster. Yet self-doubt still snaps at his heels and his life is shadowed by the terrible loss that has shaken him to his foundations. Carol Hetherington, recently widowed, is living the quiet life in Wandsworth with her cat and The Jeremy Kyle Show for company. As she tries to come to terms with the absence her husband has left on the other side of the bed, she frets over her daughter's prospects and wonders if she'll ever be happy again. Esme Reade is a young journalist learning to muck-rake and doorstep in pursuit of the elusive scoop, even as she longs to find some greater meaning and leave her imprint on the world. Four strangers, each inhabitants of the same city, where the gulf between those who have too much and those who will never have enough is impossibly vast. But when the glass that separates Howard's and Beatrice's worlds is shattered by an inexcusable act, they discover that the capital has connected them in ways they could never have imagined.

Never before published in paperback, and back in print for the first time since 1951, this long-lost novelisation reworks the nail-biting radio serial ‘Paul Temple and the Gregory Affair’ with new and original characters. The Assistant Commissioner of Scotland Yard visits retired Detective Lionel Wyatt with the chilling news that an old adversary they never caught has struck again, strangling an innocent girl. Wyatt is reluctant to return to police work, but then another body is found – this time at his own home, with a personal message: ‘With the compliments of Mr Rossiter’. In Design for Murder, Francis Durbridge adapted his longest Paul Temple serial, Paul Temple and the Gregory Affair, into a full-length novel. All the obligatory elements from the thrilling radio episodes were present, but in a new twist, he renamed the principal characters: Paul and Steve Temple became Lionel and Sally Wyatt, and ‘Mr Rossiter’ replaced the villainous Gregory. Reprinted for the first time in 66 years, fans of Francis Durbridge and of Paul Temple can finally relive this ingenious adventure. Also includes an introduction by bibliographer Melvyn Barnes plus the exclusive 1946 Radio Times short story ‘Paul Temple’s White Christmas’.

A classic winter’s crime novel by one of the most highly regarded exponents of the genre. Victor Harleston awoke with uncharacteristic optimism. Today he would be rich at last. Half an hour later, he gulped down his breakfast coffee and pitched to the floor, gasping and twitching. When the doctor arrived, he recognised instantly that it was a fatal case of poisoning and called in Scotland Yard. Despite an almost complete absence of clues, the circumstances were so suspicious that Inspector Hanslet soon referred the evidence to his friend and mentor, Dr Lancelot Priestley, whose deductions revealed a diabolically ingenious murder that would require equally fiendish ingenuity to solve.

‘An exciting new writer – sharp, compelling and original’ Mark Lawrence Years have passed since the Vagrant journeyed to the Shining City, Vesper in arm and Gamma’s sword in hand. Since then the world has changed. Vesper, following the footsteps of her father, journeyed to the breach and closed the tear between worlds, protecting the last of humanity, but also trapping the infernal horde and all those that fell to its corruptions: willing or otherwise. In this new age it is Vesper who leads the charge towards unity and peace, with seemingly nothing standing between the world and a bright new future. That is until eyes open. And The Seven awaken.

David Walliams – comedian, actor and author – continues to take the children’s literary world by storm. His tenth novel, BAD DAD, was an immediate number one, following the triumph of THE MIDNIGHT GANG, the biggest-selling children’s book of 2016. WORLD’S WORST CHILDREN 2, which published in early 2017, spent four weeks at industry number one and eight weeks at the top of the children’s chart. They have achieved unprecedented critical acclaim – and RATBURGER, DEMON DENTIST and AWFUL AUNTIE have all won the National Book Awards Children’s Book of the Year. David’s books have now exceeded 100 non-consecutive weeks in the children’s number-one spot, and have been translated into 50 languages, selling more than 22 million copies worldwide. Born in London, Tony Ross went to art school in Liverpool. His cartoons have appeared in famous publications the world over. His first book, HUGO AND THE WICKED WINTER, was published in 1972. Tony has since written over 100 books and illustrated over 2000! His creations Towser and The Little Princess have been turned into TV series. David and Tony have worked on six bestselling picture books together, as well as eight of David’s phenomenally successful children’s novels – BILLIONAIRE BOY, GANGSTA GRANNY, RATBURGER, DEMON DENTIST, AWFUL AUNTIE, GRANDPA'S GREAT ESCAPE, THE MIDNIGHT GANG and BAD DAD. David and Tony also collaborated on the 2017 World Book Day title, BLOB, and the two blockbuster short story collections, THE WORLD'S WORST CHILDREN and THE WORLD'S WORST CHILDREN 2.

Learn how to build advanced reports and dashboards in Salesforce Lightning experience About This Book ? Visualize and create advanced reports and dashboards using Lightning Experience ? Improve overall business efficiency with advanced and effective reports and dashboards ? Understand and create custom reports and dashboards Who This Book Is For This book is targeted at Salesforce.com administrators, business analysts, and managers who use Salesforce.com for their daily job and want to learn in depth about Salesforce Reporting and Dashboard in Lightning Experience. Readers should have a basic knowledge of Salesforce, such as: Accounts, Contacts, Leads, Opportunities and custom objects. What You Will Learn ? Navigate in Salesforce.com within the Lightning Experience user interface ? Secure and share your reports and dashboards with other users ? Create, manage, and maintain reports using Report Builder ? Learn how the report type can affect the report generated ? Explore the report and dashboard folder and the sharing model ? Create reports with multiple formats and custom report types ? Explore various dashboard features in Lightning Experience ? Use Salesforce1, including accessing reports and dashboards In Detail Built on the Salesforce App Cloud, the new Lightning Experience combines the new Lightning Design System, Lightning App Builder, and Lightning Components to enable anyone to quickly and easily create modern enterprise apps. The book will start with a gentle introduction to the basics of Salesforce reports and dashboards. It will also explain how to access reports in depth. Then you will learn how to create and manage reports, to use Schedule Report, and create advanced report configurations. The next section talks about dashboards and will enable you to understand and compare various types of dashboard component and how you can benefit the most from each of them. Then we move on to advanced topics and explain tips and tricks related to reports and dashboards, including reporting snapshots, report parameters, and collaboration. Finally, we will discuss how to access dashboards and reports from the Salesforce1 mobile app. Style and approach This comprehensive guide covers the advanced features of the all new Salesforce Lightning concepts and communicates them through a practical approach to explore the underlying concepts of how, when, and why to use them.

Jan Willem Hendryk's legacy amounts to a staggering ?40 million - ?34 million to go to an agricultural college in Kenya's Rift Valley, and the remaining ?6 million to be divided equally between his only surviving descendants: Dirk, a South African, and Henry, a young drop-out living in California. But a number of suspicious circumstances emerge, including a clause in the will stating that Dirk must spend one month of every year in Kenya. What seems at first a simple matter of greed gradually assumes sinister proportions.

During the 1930s at Oxford, C. S. Lewis, J. R. R. Tolkien, and Charles Williams--remarkable friends, writers, and scholars--met regularly to discuss philosophy and literature and to read aloud from their own works in progress. Calling themselves the Inklings, their circle grew. It was in this company that such classics as The Lord of the Rings, The Screwtape Letters, and The Lion, the Witch, and the Wardrobe first found an audience. Author Humphrey Carpenter was born in Oxford and was acquainted with Tolkien, Hugo Dyson, and several other Inklings. In this remarkable reconstruction of their meetings and momentous friendships, Carpenter brings to life those warm and enchanting evenings in Lewis' rooms at Magdalen College, when their imaginations ran wild. His account offers exciting insights into the influence these brilliant individuals had on each other's developing ideas and writing.

Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book ? Master intricacies of R deep learning packages such as mxnet & tensorflow ? Learn application on deep learning in different domains using practical examples from text, image and speech ? Guide to set-up deep learning models using CPU and GPU Who This Book Is For Data science professionals or analysts who have performed machine learning tasks and now want to explore deep learning and want a quick reference that could address the pain points while implementing deep learning. Those who wish to have an edge over other deep learning professionals will find this book quite useful. What You Will Learn ? Build deep learning models in different application areas using TensorFlow, H2O, and MXnet. ? Analyzing a Deep boltzmann machine ? Setting up and Analysing Deep belief networks ? Building supervised model using various machine learning algorithms ? Set up variants of basic convolution function ? Represent data using Autoencoders. ? Explore generative models available in Deep Learning. ? Discover sequence modeling using Recurrent nets ? Learn fundamentals of Reinforcement Leaning ? Learn the steps involved in applying Deep Learning in text mining ? Explore application of deep learning in signal processing ? Utilize Transfer learning for utilizing pre-trained model ? Train a deep learning model on a GPU In Detail Deep Learning is the next big thing. It is a part of machine learning. It's favorable results in applications with huge and complex data is remarkable. Simultaneously, R programming language is very popular amongst the data miners and statisticians. This book will help you to get through the problems that you face during the execution of different tasks and Understand hacks in deep learning, neural networks, and advanced machine learning techniques. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R. It will be starting with different packages in Deep Learning to neural networks and structures. You will also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance. By the end of the book, you will have a logical understanding of Deep learning and different deep learning packages to have the most appropriate solutions for your problems. Style and approach Collection of hands-on recipes that would act as your all-time reference for your deep learning needs

Bring the performance and security of SQL Server to Linux About This Book ? Design and administer your SQL Server solution on the open source Linux platform ? Install, configure, and fine-tune your database application for maximum performance ? An easy-to-follow guide teaching you how to implement various SQL Server CTP 2.x offerings on Linux—from installation to administration Who This Book Is For This book is for the Linux users who want to learn SQL Server on their favorite Linux distributions. It is not important if you are experienced database user or a beginner as we are starting from scratch. However, it is recommended that you have basic knowledge about relational models. More advanced readers can pick the chapters of their interest and study specific topics immediately. Users from Windows platform can also benefit from this book to expand their frontiers and become equally efficient on both platforms. What You Will Learn ? Install and set up SQL Server CTP 2.x on Linux ? Create and work with database objects using SQL Server on Linux ? Configure and administer SQL Server on Linux-based systems ? Create and restore database back-ups ? Protect sensitive data using the built-in cryptographic features ? Optimize query execution using indexes ? Improve query execution time by more than 10x using in-memory OLTP ? Track row-versioning using temporal tables In Detail Microsoft's launch of SQL Server on Linux has made SQL Server a truly versatile platform across different operating systems and data-types, both on-premise and on-cloud. This book is your handy guide to setting up and implementing your SQL Server solution on the open source Linux platform. You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions. Then you will brush up your SQL Server skills by creating and querying database objects and implementing basic administration tasks to support business continuity, including security and performance optimization. This book will also take you beyond the basics and highlight some advanced topics such as in-memory OLTP and temporal tables. By the end of this book, you will be able to recognize and utilize the full potential of setting up an efficient SQL Server database solution in your Linux environment. Style and approach This book follows a step-by-step approach to teach readers the concepts of SQL Server on Linux using the bash command line and SQL programming language trough examples which can easily be adapted and applied in your own solutions.

Harness the power of the Cloud, leveraging the speed and scale of Azure Serverless computing About This Book ? Take advantage of the agility, scale, and cost-effectiveness of the cloud using Azure Serverless compute ? Build scalable, reliable, and cost-effecient applications with Serverless architecture and .NET ? Learn to use Azure functions to their fullest potential in .NET Who This Book Is For This book is for .NET developers who would like to learn about serverless architecture. Basic C# programming knowledge is assumed. What You Will Learn ? Understand the best practices of Serverless architecture ? Learn how how to deploy a Text Sentiment Evaluation application in an Azure Serverless environment ? Implement security, identity, and access control ? Take advantage of the speed of deployment in the cloud ? Configure application health monitoring, logging, and alerts ? Design your application to ensure cost effectiveness, high availability, and scale In Detail Serverless architecture allows you to build and run applications and services without having to manage the infrastructure. Many companies have started adopting serverless architecture for their applications to save cost and improve scalability. This book will be your companion in designing Serverless architecture for your applications using the .NET runtime, with Microsoft Azure as the cloud service provider. You will begin by understanding the concepts of Serverless architecture, its advantages and disadvantages. You will then set up the Azure environment and build a basic application using a sample text sentiment evaluation function. From here, you will be shown how to run services in a Serverless environment. We will cover the integration with other Azure and 3rd party services such as Azure Service Bus, as well as configuring dependencies on NuGet libraries, among other topics. After this, you will learn about debugging and testing your Azure functions, and then automating deployment from source control. Securing your application and monitoring its health will follow from there, and then in the final part of the book, you will learn how to Design for High Availability, Disaster Recovery and Scale, as well as how to take advantage of the cloud pay-as-you-go model to design cost-effective services. We will finish off with explaining how azure functions scale up against AWS Lambda, Azure Web Jobs, and Azure Batch compare to other types of compute-on-demand services. Whether you’ve been working with Azure for a while, or you’re just getting started, by the end of the book you will have all the information you need to set up and deploy applications to the Azure Serverless Computing environment. Style and approach This step-by-step guide shows you the concepts and features of Serverless architecture in Azure with .NET.