Leverage Elastic Stack’s machine learning features to gain valuable insight from your data Key Features * Combine machine learning with the analytic capabilities of Elastic Stack * Analyze large volumes of search data and gain actionable insight from them * Use external analytical tools with your Elastic Stack to improve its performance Book Description Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure. By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly. What you will learn * Install the Elastic Stack to use machine learning features * Understand how Elastic machine learning is used to detect a variety of anomaly types * Apply effective anomaly detection to IT operations and security analytics * Leverage the output of Elastic machine learning in custom views, dashboards, and proactive alerting * Combine your created jobs to correlate anomalies of different layers of infrastructure * Learn various tips and tricks to get the most out of Elastic machine learning Who this book is for If you are a data professional eager to gain insight on Elasticsearch data without having to rely on a machine learning specialist or custom development, Machine Learning with the Elastic Stack is for you. Those looking to integrate machine learning within their search and analytics applications will also find this book very useful. Prior experience with the Elastic Stack is needed to get the most out of this book.

An in-depth and comprehensive take on WordPress, covering everything about the platform such as WordPress posts, pages, themes, plugins, and more. Key Features * Get up to date with the latest WordPress 5.0 (Bebo) and all its new features * Beginner-friendly layout and advice you can apply from day one with loads of screenshots and examples * Enrich your development experience with the new block-based editor Gutenberg Book Description Back in the day, when you wanted to launch a new website, you either had to learn web programming yourself or hire a professional who would take care of the whole process for you. Nowadays, with WordPress, anyone can build an optimized site with the least amount of effort possible and then make it available to the world in no time. Here, in the seventh edition of the book, we are going to show you how to build great looking and functional websites using WordPress. The new version of WordPress – 5.0 – comes with a few important changes, and we tell you all about how to use them effectively. From crafting content pages using the block editor, and customizing the design of your site, through to making sure it's secure, we go through it all. The book starts by introducing WordPress and teaching you how to set it up. You are then shown how to create a blog site, start writing content, and even use plugins and themes to customize the design of the site and add some unique elements to set it apart. If you want to get more in-depth, we also show you how to get started creating your own themes and plugins. Finally, we teach you how to use WordPress for building non-blog websites. By the end of the book, you will be sufficiently skilled to design high-quality websites and will be fully familiar with the ins and outs of WordPress. What you will learn * Learn to adapt your plugin with the Gutenberg editor * Create content that is optimized for publication on the web * Craft great looking pages and posts with the use of block editor * Structure your web pages in an accessible and clear way * Install and work with plugins and themes * Customize the design of your website * Upload multimedia content, such as images, audio, and video easily and effectively * Develop your own WordPress plugins and themes * Use WordPress to build websites that serve purposes other than blogs Who this book is for The ideal target audience for this book would be PHP developers who have some basic knowledge of working with WordPress and who want to get a comprehensive practical understanding of working with WordPress and create production-ready websites with it.

Use Qt 5 to design and build functional, appealing, and user-friendly graphical user interfaces (GUIs) for your applications. Key Features * Learn to use Qt 5 to design and customize the look and feel of your application * Improve the visual quality of an application by using graphics rendering and animation * Understand the balance of presentation and web content that will make an application appealing yet functional Book Description With the growing need to develop GUIs for multiple targets and multiple screens, improving the visual quality of your application becomes important so that it stands out from your competitors. With its cross-platform ability and the latest UI paradigms, Qt makes it possible to build intuitive, interactive, and user-friendly user interfaces for your applications. Qt5 C++ GUI Programming Cookbook, Second Edition teaches you how to develop functional and appealing user interfaces using the latest version of QT5 and C++.?This book will help you learn a variety of topics such as GUI customization and animation, graphics rendering, implementing Google Maps, and more. You will also be taken through advanced concepts like asynchronous programming, event handling using signals and slots, network programming, various aspects of optimizing your application. By the end of the book, you will be confident to design and customize GUI applications that meet your clients' expectations and have an understanding of best practice solutions for common problems. What you will learn * Animate GUI elements using Qt5's built-in animation system * Draw shapes and 2D images using Qt5's powerful rendering system * Implement an industry-standard OpenGL library in your project * Build a mobile app that supports touch events and exports it onto devices * Parse and extract data from an XML file and present it on your GUI * Interact with web content by calling JavaScript functions from C++ * Access MySQL and SQLite databases to retrieve data and display it on your GUI Who this book is for This intermediate-level book is designed for those who want to develop software using Qt 5. If you want to improve the visual quality and content presentation of your software application, this book is for you. Prior experience of C++ programming is required.

Unleash the benefits of VMware vSphere 6.7 to provide a powerful, flexible and secure digital infrastructure Key Features * Deep dive into areas like management, security, scalability, availability and more with vSphere 6.7 * Design, deploy and manage VMware vSphere virtual datacenters * Implement monitoring and security of VMware workloads with ease Book Description vSphere 6.7 is the latest release of VMware’s industry-leading, virtual cloud platform. It allows organisations to move to hybrid cloud computing by enabling them to run, manage, connect and secure applications in a common operating environment. This up-to-date, 2nd edition provides complete coverage of vSphere 6.7. Complete with step-by-step explanations of essential concepts, practical examples and self-assessment questions, you will begin with an overview of the products, solutions and features of the vSphere 6.7 suite. You’ll learn how to design and plan a virtual infrastructure and look at the workflow and installation of components. You'll gain insight into best practice configuration, management and security. By the end the book you'll be able to build your own VMware vSphere lab that can run even the most demanding of workloads. What you will learn * Explore the immense functionality of vSphere 6.7 * Design, manage and administer a virtualization environment * Get tips for the VCP6-DCV and VCIX6-DCV exams * Understand how to implement different migration techniques across different environments * Explore vSphere 6.7s powerful capabilities for patching, upgrading and managing the configuration of virtual environments. * Understand core vSphere components * Master resource management, disaster recovery, troubleshooting, monitoring and security Who this book is for This book is for Administrators, Infrastructure Engineers, Architects, and Consultants with basic knowledge of VMware vSphere.

Design, develop, and solve real-world automation and orchestration problems by unlocking the automation capabilities of Ansible. Key Features * Tackle complex automation challenges with the newly added features in Ansible 2.7 Book Description Automation is essential for success in the modern world of DevOps. Ansible provides a simple, yet powerful, automation engine for tackling complex automation challenges. This book will take you on a journey that will help you exploit the latest version's advanced features to help you increase efficiency and accomplish complex orchestrations. This book will help you understand how Ansible 2.7 works at a fundamental level and will also teach you to leverage its advanced capabilities. Throughout this book, you will learn how to encrypt Ansible content at rest and decrypt data at runtime. Next, this book will act as an ideal resource to help you master the advanced features and capabilities required to tackle complex automation challenges. Later, it will walk you through workflows, use cases, orchestrations, troubleshooting, and Ansible extensions. Lastly, you will examine and debug Ansible operations, helping you to understand and resolve issues. By the end of the book, you will be able to unlock the true power of the Ansible automation engine and tackle complex, real- world actions with ease. What you will learn * Gain an in-depth understanding of how Ansible works under the hood * Fully automate Ansible playbook executions with encrypted data * Access and manipulate variable data within playbooks * Use blocks to perform failure recovery or cleanup * Explore the Playbook debugger and the Ansible Console * Troubleshoot unexpected behavior effectively * Work with cloud infrastructure providers and container systems * Develop custom modules, plugins, and dynamic inventory sources Who this book is for This book is for Ansible developers and operators who have an understanding of its core elements and applications but are now looking to enhance their skills in applying automation using Ansible.

Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems. Key Features * Assimilate key NLP concepts and terminologies * Explore popular NLP tools and techniques * Gain practical experience using NLP in application code Book Description If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems. You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots. By the end of this book, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The book will easily equip you with the knowledge you need to build applications that interpret human language. What you will learn * Obtain, verify, and clean data before transforming it into a correct format for use * Perform data analysis and machine learning tasks using Python * Understand the basics of computational linguistics * Build models for general natural language processing tasks * Evaluate the performance of a model with the right metrics * Visualize, quantify, and perform exploratory analysis from any text data Who this book is for Natural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers who want to gather and analyze text data to build an NLP-powered product. It'll help you to have prior experience of coding in Python using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but not necessary.

Learn to build a high-performance functional prototype of a voting web application from scratch using Elixir and Phoenix About This Book ? Build a strong foundation in Functional-Programming techniques while learning to build compelling web applications ? Understand the Elixir Concurrency and parallelization model to build high-performing blazingly fast applications ? Learn to test, debug and deploy your web applications using Phoenix framework Who This Book Is For This book is for people with a basic knowledge of Elixir, who want to start building web applications. Prior experience with web technologies is assumed. What You Will Learn ? Learn Phoenix Framework fundamentals and v1.3's new application structure ? Build real-time applications with channels and presence ? Utilize GenServers and other OTP fundamentals to keep an application stable ? Track users as they sign in and out of chat with Phoenix’s built-in presence functionality ? Write your own database interaction code that is safe, bug-free, and easy to work with ? Explore testing and debugging methodologies to understand a real software development lifecycle for a Phoenix application ? Deploy and run your Phoenix application in production In Detail Phoenix is a modern web development framework that is used to build API’s and web applications. It is built on Elixir and runs on Erlang VM which makes it much faster than other options. With Elixir and Phoenix, you build your application the right way, ready to scale and ready for the increasing demands of real-time web applications. This book covers the basics of the Phoenix web framework, showing you how to build a community voting application, and is divided into three parts. In the first part, you will be introduced to Phoenix and Elixir and understand the core terminologies that are used to describe them. You will also learn to build controller pages, store and retrieve data, add users to your app pages and protect your database. In the second section you will be able to reinforce your knowledge of architecting real time applications in phoenix and not only debug these applications but also diagnose issues in them. In the third and final section you will have the complete understanding of deploying and running the phoenix application and should be comfortable to make your first application release By the end of this book, you'll have a strong grasp of all of the core fundamentals of the Phoenix framework, and will have built a full production-ready web application from scratch. Style and approach Covers the basics of the Phoenix web framework by building a complete real-time application and showing the new structure changes introduced in Phoenix v1.3

Leverage Office 365 to increase your organization's efficiency About This Book ? Perform common to advanced-level management and administrative tasks for your organization with Office 365 ? Become an Office 365 generalist who can work with the entire stack—not just specific products ? An advanced-level guide that will teach you to implement enterprise-level services into your organization, no matter the size of the business Who This Book Is For This book targets architects, sys admins, engineers, and administrators who are working with Office 365 and are responsible for configuring, implementing, and managing Office 365 in their organization. A prior knowledge of Office 365 and Exchange servers is mandatory. What You Will Learn ? Get an understanding of the vast Office 365 feature set ? Learn how workloads and applications interact and integrate with each other ? Connect PowerShell to various Office 365 services and perform tasks ? Learn to manage Skype for Business Online ? Get support and monitor Office 365 service health ? Manage and administer identities and groups efficiently In Detail In today's world, every organization aims to migrate to the cloud to become more efficient by making full use of the latest technologies. Office 365 is your one-stop solution to making your organization reliable, scalable, and fast. The book will start with an overview of Office 365 components, and help you learn how to use the administration portal, and perform basic administration. Then this book covers common management tasks such as managing users, admin roles, groups, securing Office 365, and enforcing compliance. In the next set of chapters, you will learn topics such as managing Skype for Business Online, Yammer, OneDrive for Business, and Microsoft Teams. In the final section of the book, you will learn how to perform reporting and monitor Office 365 service health. By the end of this book, you will be able to implement enterprise-level services with Office 365 based on your organization's needs. Style and approach A practical guide that offers a simple way to easily understand and access common administration tasks, without getting lost in the plethora of online resources, support pages, blog posts, and videos.

Get more from your network by securing its infrastructure and increasing its effectiveness About This Book ? Learn to choose the best network scanning toolset for your system ? Implement different concepts of network scanning such as port scanning and OS detection ? Adapt a practical approach to securing your network Who This Book Is For If you are a security professional who is responsible for securing an organization's infrastructure, then this book is for you. What You Will Learn ? Achieve an effective security posture to design security architectures ? Learn vital security aspects before moving to the Cloud ? Launch secure applications with Web Application Security and SQL Injection ? Explore the basics of threat detection/response/ mitigation with important use cases ? Learn all about integration principles for PKI and tips to secure it ? Design a WAN infrastructure and ensure security over a public WAN In Detail Network scanning is the process of assessing a network to identify an active host network; same methods can be used by an attacker or network administrator for security assessment. This procedure plays a vital role in risk assessment programs or while preparing a security plan for your organization. Practical Network Scanning starts with the concept of network scanning and how organizations can benefit from it. Then, going forward, we delve into the different scanning steps, such as service detection, firewall detection, TCP/IP port detection, and OS detection. We also implement these concepts using a few of the most prominent tools on the market, such as Nessus and Nmap. In the concluding chapters, we prepare a complete vulnerability assessment plan for your organization. By the end of this book, you will have hands-on experience in performing network scanning using different tools and in choosing the best tools for your system. Style and approach A practical guide that offers a simple way to easily understand network security concepts and apply them to strengthen your network.

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms. About This Book ? Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras ? Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms ? Learn deep learning techniques for text analysis Who This Book Is For This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you! What You Will Learn ? Why text analysis is important in our modern age ? Understand NLP terminology and get to know the Python tools and datasets ? Learn how to pre-process and clean textual data ? Convert textual data into vector space representations ? Using spaCy to process text ? Train your own NLP models for computational linguistics ? Use statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learn ? Employ deep learning techniques for text analysis using Keras In Detail Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data. This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy. You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning. This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis. Style and approach The book teaches NLP from the angle of a practitioner as well as that of a student. This is a tad unusual, but given the enormous speed at which new algorithms and approaches travel from scientific beginnings to industrial implementation, first principles can be clarified with the help of entirely practical examples.

Get up and running with the fundamentals of Amazon Alexa and build exciting IoT projects About This Book ? Gain hands-on experience of working with Amazon Echo and Alexa ? Build exciting IoT projects using Amazon Echo ? Learn about voice-enabled smart devices Who This Book Is For Alexa Skills Projects is for individuals who want to have a deep understanding of the underlying technology that drives Amazon Echo and Alexa, and how it can be integrated with the Internet of Things to develop hands-on projects. What You Will Learn ? Understand how Amazon Echo is already being used in various domains ? Discover how an Alexa Skill is architected ? Get a clear understanding of how some of the most popular Alexa Skills work ? Design Alexa Skills for specific purposes and interact with Amazon Echo to execute them ? Gain experience of programming for Amazon Echo ? Explore future applications of Amazon Echo and other voice-activated devices In Detail Amazon Echo is a smart speaker developed by Amazon, which connects to Amazon’s Alexa Voice Service and is entirely controlled by voice commands. Amazon Echo is currently being used for a variety of purposes such as home automation, asking generic queries, and even ordering a cab or pizza. Alexa Skills Projects starts with a basic introduction to Amazon Alexa and Echo. You will then deep dive into Alexa Programming concepts such as Intents, Slots, Lambdas and maintaining your skill’s state using DynamoDB. You will get a clear understanding of how some of the most popular Alexa Skills work, and gain experience of working with real-world Amazon Echo applications. In the concluding chapters, you will explore the future of voice-enabled applications and their coverage with respect to the Internet of Things. By the end of the book, you will have learned to design Alexa Skills for specific purposes and interact with Amazon Echo to execute these skills. Style and approach A practical guide filled with real world examples that will help you understand the process of creating Alexa Skills from scratch and it's real world applications.

Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking. About This Book ? Build a full-fledged image processing application using JuliaImages ? Perform basic to advanced image and video stream processing with Julia's APIs ? Understand and optimize various features of OpenCV with easy examples Who This Book Is For Hands-On Computer Vision with Julia is for Julia developers who are interested in learning how to perform image processing and want to explore the field of computer vision. Basic knowledge of Julia will help you understand the concepts more effectively. What You Will Learn ? Analyze image metadata and identify critical data using JuliaImages ? Apply filters and improve image quality and color schemes ? Extract 2D features for image comparison using JuliaFeatures ? Cluster and classify images with KNN/SVM machine learning algorithms ? Recognize text in an image using the Tesseract library ? Use OpenCV to recognize specific objects or faces in images and videos ? Build neural network and classify images with MXNet In Detail Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it’s easy to use and lets you write easy-to-compile and efficient machine code. This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You’ll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you’ll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned. By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease. Style and approach Readers will be taken through various packages that support image processing in Julia, and will also tap into open-source libraries such as Open CV and Tesseract to find the optimum solution to problems encountered in computer vision.

Create interactive cross-platform games with the Godot Engine 3.0 About This Book ? Learn the art of developing cross-platform games ? Leverage Godot’s node and scene system to design robust, reusable game objects ? Integrate Blender easily and efficiently with Godot to create powerful 3D games Who This Book Is For Godot Engine Game Development Projects is for both new users and experienced developers, who want to learn to make games using a modern game engine. Some prior programming experience is recommended. What You Will Learn ? Get started with the Godot game engine and editor ? Organize a game project ? Import graphical and audio assets ? Use Godot’s node and scene system to design robust, reusable game objects ? Write code in GDScript to capture input and build complex behaviors ? Implement user interfaces to display information ? Create visual effects to spice up your game ? Learn techniques that you can apply to your own game projects In Detail Godot Engine Game Development Projects is an introduction to the Godot game engine and its new 3.0 version. Godot 3.0 brings a large number of new features and capabilities that make it a strong alternative to expensive commercial game engines. For beginners, Godot offers a friendly way to learn game development techniques, while for experienced developers it is a powerful, customizable tool that can bring your visions to life. This book consists of five projects that will help developers achieve a sound understanding of the engine when it comes to building games. Game development is complex and involves a wide spectrum of knowledge and skills. This book can help you build on your foundation level skills by showing you how to create a number of small-scale game projects. Along the way, you will learn how Godot works and discover important game development techniques that you can apply to your projects. Using a straightforward, step-by-step approach and practical examples, the book will take you from the absolute basics through to sophisticated game physics, animations, and other techniques. Upon completing the final project, you will have a strong foundation for future success with Godot 3.0. Style and approach The book is divided into five parts; each covering a different small-game project using a straightforward, step-by-step approach and practical examples. The book will take readers from the absolute basics through sophisticated game physics, animation, and other techniques.

Manage on-premises and cloud IT assets from one console About This Book ? Empower yourself with practical recipes to collect and analyze operational insights on Windows and Linux servers in your on premises datacenters and in any public cloud environments such as Azure and AWS. ? Build capabilities through practical tasks and techniques to collect and analyze machine data ? Address business challenges and discover means to accommodate workloads and instances in a low cost manner Who This Book Is For This book is written for the IT professional and general reader who is interested in technology themes such as DevOps, Big Data Analytics, and digital transformation concepts. Azure and other cloud platform administrators, cloud professionals, and technology analysts who would like to solve everyday problems quickly and efficiently with hybrid management tools available in the Microsoft product ecosystem will derive much value from this book. Prior experience with OMS 2012 would be helpful. What You Will Learn ? Understand the important architectural considerations and strategies for OMS ? Use advanced search query commands and strategies to derive insights from indexed data ? Make use of alerting in OMS such as alert actions, and available options for the entire lifecycle of the alert ? Discover some practical tips for monitoring Azure container service containers and clusters using OMS ? Review and use the backup options available through the Azure backup service, as well as data recovery options available through Azure Site Recovery (ASR) ? Understand how to advance important DevOps concepts within your IT organization ? Learn how to manage configurations and automate process In Detail Microsoft Operations Management Suite Cookbook begins with an overview of how to hit the ground running with OMS insights and analytics. Next, you will learn to search and analyze data to retrieve actionable insights, review alert generation from the analyzed data, and use basic and advanced Log search queries in Azure Log Analytics. Following this, you will explore some other management solutions that provide functionality related to workload assessment, application dependency mapping, automation and configuration management, and security and compliance. You will also become well versed with the data protection and recovery functionalities of OMS Protection and Recovery, and learn how to use Azure Automation components and features in OMS. Finally you will learn how to evaluate key considerations for using the Security and Audit solution, and working with Security and Compliance in OMS. By the end of the book, you will be able to configure and utilize solution offerings in OMS, understand OMS workflows, how to unlock insights, integrate capabilities into new or existing workflows, manage configurations, and automate tasks and processes. Style and approach This is a recipe based guide where early chapters introduce the main concepts and key capabilities, and the later chapters delve into more advance concepts.

Develop and manage applications on the AWS and OpenStack platforms with this comprehensive learning guide. About This Book ? A step-by-step guide to help you develop applications on the hybrid cloud platform. ? Acquire an in-depth understanding of the OpenStack and AWS cloud platforms. ? Extensive source code examples for OpenStack and AWS applications. ? Easily troubleshoot OpenStack and AWS issues. ? Understand the best practices and security measures for the hybrid cloud platform. Who This Book Is For If you are an IT professional, developer, or a DevOps engineer looking to develop and manage your applications on the hybrid cloud platform, then this book is for you. Some prior knowledge of the public and private cloud will enhance your skills. Developers looking to build applications using AWS or OpenStack services will also benefit from this book. What You Will Learn ? Understand the hybrid cloud platform ? Explore the AWS and OpenStack cloud platforms in depth ? Develop AWS applications with source code examples ? Develop OpenStack applications with source code examples ? Troubleshoot OpenStack and AWS ? Learn hybrid cloud best practices ? Understand security measures on the hybrid cloud In Detail This book introduces you to the hybrid cloud platform, and focuses on the AWS public cloud and OpenStack private cloud platforms. It provides a deep dive into the AWS and OpenStack cloud platform services that are essential for developing hybrid cloud applications. You will learn to develop applications on AWS and OpenStack platforms with ease by leveraging various cloud services and taking advantage of PaaS. The book provides you with the ability to leverage the flexibility of choosing a cloud platform for migrating your existing resources to the cloud, as well as developing hybrid cloud applications that can migrate virtual machine instances from AWS to OpenStack and vice versa. You will also be able to build and test cloud applications without worrying about the system that your development environment supports. The book also provides an in-depth understanding of the best practices that are followed across the industry for developing cloud applications, as well as for adapting the hybrid cloud platform. Lastly, it also sheds light on various troubleshooting techniques for OpenStack and AWS cloud platform services that are consumed by hybrid cloud applications. By the end of this book, you will have a deep understanding of the hybrid cloud platform and will be able to develop robust, efficient, modular, scalable, and ?exible cloud applications. Style and approach This book follows a practical approach to become familiar with the AWS and OpenStack platform from a developer's perspective.

Building Complete E-commerce/Shopping Cart Application About This Book ? Follow best practices and explore techniques such as clustering and caching to achieve a reactive, scalable web service ? Leverage the .NET Framework to quickly implement RESTful endpoints. ? Learn to implement a client library for a RESTful web service using ASP.NET Core. Who This Book Is For This book is intended for those who want to learn to build RESTful web services with the latest .NET Core Framework. To make best use of the code samples included in the book, you should have a basic knowledge of C# and .NET Core. What You Will Learn ? Add basic authentication to your RESTful API ? Create a Carts Controller and Orders Controller to manage and process Orders ? Intercept HTTP requests and responses by building your own middleware ? Test service calls using Postman and Advanced REST Client ? Secure your data/application using annotations In Detail REST is an architectural style that tackles the challenges of building scalable web services. In today's connected world, APIs have taken a central role on the web. APIs provide the fabric through which systems interact, and REST has become synonymous with APIs. The depth, breadth, and ease of use of ASP.NET Core makes it a breeze for developers to work with for building robust web APIs. This book takes you through the design of RESTful web services and leverages the ASP.NET Core framework to implement these services. This book begins by introducing you to the basics of the philosophy behind REST. You'll go through the steps of designing and implementing an enterprise-grade RESTful web service. This book takes a practical approach, that you can apply to your own circumstances. This book brings forth the power of the latest .NET Core release, working with MVC. Later, you will learn about the use of the framework to explore approaches to tackle resilience, security, and scalability concerns. You will explore the steps to improve the performance of your applications. You'll also learn techniques to deal with security in web APIs and discover how to implement unit and integration test strategies. By the end of the book, you will have a complete understanding of Building a client for RESTful web services, along with some scaling techniques. Style and approach This book is a step-by-step, hands-on guide to designing and building RESTful web services.

Write modern natural language processing applications using deep learning algorithms and TensorFlow About This Book ? Focuses on more efficient natural language processing using TensorFlow ? Covers NLP as a field in its own right to improve understanding for choosing TensorFlow tools and other deep learning approaches ? Provides choices for how to process and evaluate large unstructured text datasets ? Learn to apply the TensorFlow toolbox to specific tasks in the most interesting field in artificial intelligence Who This Book Is For This book is for Python developers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks. Fundamental Python skills are assumed, as well as some knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required, although some background in NLP or computational linguistics will be helpful. What You Will Learn ? Core concepts of NLP and various approaches to natural language processing ? How to solve NLP tasks by applying TensorFlow functions to create neural networks ? Strategies to process large amounts of data into word representations that can be used by deep learning applications ? Techniques for performing sentence classification and language generation using CNNs and RNNs ? About employing state-of-the art advanced RNNs, like long short-term memory, to solve complex text generation tasks ? How to write automatic translation programs and implement an actual neural machine translator from scratch ? The trends and innovations that are paving the future in NLP In Detail Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstructured data in today’s data streams, and apply these tools to specific NLP tasks. Thushan Ganegedara starts by giving you a grounding in NLP and TensorFlow basics. You'll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms. Chapters on classical deep learning algorithms, like convolutional neural networks (CNN) and recurrent neural networks (RNN), demonstrate important NLP tasks as sentence classification and language generation. You will learn how to apply high-performance RNN models, like long short-term memory (LSTM) cells, to NLP tasks. You will also explore neural machine translation and implement a neural machine translator. After reading this book, you will gain an understanding of NLP and you'll have the skills to apply TensorFlow in deep learning NLP applications, and how to perform specific NLP tasks. Style and approach The book provides an emphasis on both the theory and practice of natural language processing. It introduces the reader to existing TensorFlow functions and explains how to apply them while writing NLP algorithms. The popular Word2vec method is used to teach the essential process of learning word representations. The book focuses on how to apply classical deep learning to NLP, as well as exploring cutting edge and emerging approaches. Specific examples are used to make the concepts and techniques concrete.

Transform machine data into powerful analytical intelligence using Splunk About This Book ? Analyze and visualize machine data to step into the world of Splunk! ? Leverage the exceptional analysis and visualization capabilities to make informed decisions for your business ? This easy-to-follow, practical book can be used by anyone - even if you have never managed data before Who This Book Is For This book is for the beginners who want to get well versed in the services offered by Splunk 7. If you want to be a data/business analyst or want to be a system administrator, this book is what you want. No prior knowledge of Splunk is required. What You Will Learn ? Install and configure Splunk for personal use ? Store event data in Splunk indexes, classify events into sources, and add data fields ? Learn essential Splunk Search Processing Language commands and best practices ? Create powerful real-time or user-input dashboards ? Be proactive by implementing alerts and scheduled reports ? Tips from the Fez: best practices using Splunk features and add-ons ? Understand security and deployment considerations for taking Splunk to an organizational level In Detail Splunk is a search, reporting, and analytics software platform for machine data, which has an ever-growing market adoption rate. More organizations than ever are adopting Splunk to make informed decisions in areas such as IT operations, information security, and the Internet of Things. The first two chapters of the book will get you started with a simple Splunk installation and set up of a sample machine data generator, called Eventgen. After this, you will learn to create various reports, dashboards, and alerts. You will also explore Splunk's Pivot functionality to model data for business users. You will then have the opportunity to test-drive Splunk's powerful HTTP Event Collector. After covering the core Splunk functionality, you'll be provided with some real-world best practices for using Splunk, and information on how to build upon what you've learned in this book. Throughout the book, there will be additional comments and best practice recommendations from a member of the SplunkTrust Community, called "Tips from the Fez". Style and approach This fast-paced, example-rich guide will help you analyze and visualize machine data with Splunk through simple, practical instructions and recommendations.

Takes you through creating your own API, building a full real-time web app, securing your Node systems, and practical applications of the latest Async and Await technologies. It maps out everything in a comprehensive, easy-to-follow package designed to get you up and running quickly. About This Book ? Entirely project-based and practical ? Explains the "why" of Node.js features, not just the "how", providing with a deep understanding and enabling you to easily apply concepts in your own applications ? Covers the full range of technologies around Node.js – npm, MongoDB, version control with Git, and many more Who This Book Is For This book is for anyone looking to launch their own Node applications, switch careers, or freelance as a Node developer. You should have a basic understanding of JavaScript in order to follow this book. This book follows directly on from Learning Node.js Development, but more advanced readers can benefit from this book without having read the first part. What You Will Learn ? Develop, test, and deploy real-world Node.js applications ? Master Node.js by building practical, working examples ? Use awesome third-party Node modules such as MongoDB, Mongoose, Socket.io, and Express ? Create real-time web applications ? Explore async and await in ES7 In Detail Advanced Node.js Development is a practical, project-based book that provides you with all you need to progress as a Node.js developer. Node is a ubiquitous technology on the modern web, and an essential part of any web developer’s toolkit. If you're looking to create real-world Node applications, or you want to switch careers or launch a side-project to generate some extra income, then you're in the right place. This book was written around a single goal: turning you into a professional Node developer capable of developing, testing, and deploying real-world production applications. There's no better time to dive in. According to the 2018 Stack Overflow Survey, Node is in the top ten for back-end popularity and back-end salary. This book is built from the ground up around the latest version of Node.js (version 9.x.x). You'll be learning all the cutting-edge features available only in the latest software versions. This book delivers advanced skills that you need to become a professional Node developer. Along this journey you'll create your own API, you'll build a full real-time web app and create projects that apply the latest Async and Await technologies. Andrew Mead maps everything out for you in this book so that you can learn how to build powerful Node.js projects in a comprehensive, easy-to-follow package designed to get you up and running quickly. Style and approach This book is entirely project-based. From the very beginning, you'll be programming every single app and completing various challenges designed to help test and reinforce what you've learned. There's no copying-and-pasting here. This book is about writing code and building projects.

Create and manage a clear working IT asset management strategy with this unique guide About This Book ? A detailed IT Asset Management (ITAM) guidebook with real-world templates that can be converted into working ITAM documents. ? Includes in-depth discussion on how risk management has changed and the possible solutions needed to address the new normal ? A step-by-step ITAM manual for newbies as well as seasoned ITAM veterans Who This Book Is For This book is intended for CIOs, VPs and CTOs of mid to large-sized enterprises and organizations. If you are dealing with changes such as mergers, acquisitions, divestitures, new products or services, cyber security, mandated regulations, expansion, and much more, this book will help you too. What You Will Learn ? Close the hidden risk gaps created by IT assets (hardware and software) ? Create and manage a clear working proactive ITAM and SAM program and policy ? A clear, concise explanation of what IT Asset Management is, the benefits, and results ? A clear, concise explanation of what Software Asset Management is, the benefits, and results ? The best ways to manage a software audit and how to be prepared for one ? Considerations for selecting the best technology for a specific company including what questions should be asked at the onset. ? Increasing ITAM program and project success with change management In Detail IT Asset Management (ITAM) supports life cycle management and strategic decision making for an IT environment. This book is a detailed IT Asset Management (ITAM) guidebook with real-world templates that can be converted into working ITAM documents. It is a step-by-step IT asset management manual for the newbies as well as the seasoned ITAM veterans, providing a unique insight into asset management. It discusses how risk management has changed over time and the possible solutions needed to address the new normal. The book also includes considerations for selecting the best technology for a specific company including what questions should be asked at the onset, as well as the best ways to manage a software audit and how to be prepared for one. This book is your perfect guide to create holistic IT asset management and Software asset management programs that close the risk gaps, increases productivity and results in cost efficiencies. It allows the IT Asset Managers, Software Asset Managers, and/or the full IT Asset Management (ITAM) ITAM/SAM program team to take a deep dive by using the templates offered in the guidebook. You will be aware of the specific roles and responsibilities for every aspect of IT asset management, software asset management, and software license compliance audit response. By the end of this book, you will be well aware of what IT and Software Asset Management is all about and the different steps, processes, and roles required to truly master it. By the end of this book, you will be well aware of what IT Asset Management is all about and the different skills required to truly master it. Style and approach Packed with important discussion points, examples, case studies, templates, and checklists.

Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 About This Book ? Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud ? Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache Flink ? Exploit big data using Hadoop 3 with real-world examples Who This Book Is For Big Data Analytics with Hadoop 3 is for you if you are looking to build high-performance analytics solutions for your enterprise or business using Hadoop 3’s powerful features, or you’re new to big data analytics. A basic understanding of the Java programming language is required. What You Will Learn ? Explore the new features of Hadoop 3 along with HDFS, YARN, and MapReduce ? Get well-versed with the analytical capabilities of Hadoop ecosystem using practical examples ? Integrate Hadoop with R and Python for more efficient big data processing ? Learn to use Hadoop with Apache Spark and Apache Flink for real-time data analytics ? Set up a Hadoop cluster on AWS cloud ? Perform big data analytics on AWS using Elastic Map Reduce In Detail Apache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples. Once you have taken a tour of Hadoop 3’s latest features, you will get an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. You will then move on to learning how to integrate Hadoop with the open source tools, such as Python and R, to analyze and visualize data and perform statistical computing on big data. As you get acquainted with all this, you will explore how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing. In addition to this, you will understand how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases. By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly. Style and approach Filled with practical examples and use cases, this book will not only help you get up and running with Hadoop, but will also take you farther down the road to deal with Big Data Analytics