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.

Master the fundamentals of programming in Swift 4 About This Book ? Covers theory and practice in equal parts ? Teaches you how to correctly structure and architect software using Swift ? Uses real-world examples to connect the theory to a professional setting ? Imparts expertise in the core Swift standard library Who This Book Is For If you are seeking fundamental Swift programming skills, in preparation for learning to develop native applications for iOS or macOS, this book is the best for you. You don’t need to have any prior Swift knowledge; however, object-oriented programming experience is desired. What You Will Learn ? Explore the fundamental Swift programming concepts, language structure, and the Swift programming syntax ? Learn how Swift compares to other computer languages and how to transform your thinking to leverage new concepts such as optionals and protocols ? Master how to use key language elements, such as strings and collections ? Grasp how Swift supports modern application development using advanced features, such as built-in Unicode support and higher-order functions. In Detail Take your first foray into programming for Apple devices with Swift. Swift is fundamentally different from Objective-C, as it is a protocol-oriented language. While you can still write normal object-oriented code in Swift, it requires a new way of thinking to take advantage of its powerful features and a solid understanding of the basics to become productive. This course helps you develop client-side and server-side applications, as well as web services using Swift. We'll begin with exploring the fundamental Swift programming concepts, language structure, and the Swift programming syntax. Then, we'll learn to create original custom operators with Swift operators, branching, and loops. Moving on, we'll learn how to run application codes and compile errors. Having made progress with it, we'll see how Swift compares to other computer languages and how to transform your thinking. Then, master the usage of key language elements, such as strings and collections. Finally, grasp how Swift supports modern application development using advanced features, such as built-in Unicode support and higher-order functions. This is an introductory course to the Swift programming language with Xcode.After completing this course, students will be well-prepared to begin developing native end-user applications for iOS or macOS, or to develop server-side (back-end) application and web services using Swift on Linux. Style and approach This is an introductory course to the Swift programming language with Xcode. The course does not expect you to have any previous Swift knowledge or experience. The course covers ample amount of exercises so that students learn the basics hands-on.

Learn to develop, test, and deploy your Spring Boot distributed application and explore various best practices. About This Book ? Build and deploy your microservices architecture in the cloud ? Build event-driven resilient systems using Hystrix and Turbine ? Explore API management tools such as KONG and API documentation tools such as Swagger Who This Book Is For The book is targeted at experienced Spring and Java developers who have a basic knowledge of working with Spring Boot. The reader should be familiar with Spring Boot basics, and aware of its benefits over traditional Spring Framework-based applications. What You Will Learn ? Build logically structured and highly maintainable Spring Boot applications ? Configure RESTful microservices using Spring Boot ? Make the application production and operation-friendly with Spring Actuator ? Build modern, high-performance distributed applications using cloud patterns ? Manage and deploy your Spring Boot application to the cloud (AWS) ? Monitor distributed applications using log aggregation and ELK In Detail Spring is one of the best frameworks on the market for developing web, enterprise, and cloud ready software. Spring Boot simplifies the building of complex software dramatically by reducing the amount of boilerplate code, and by providing production-ready features and a simple deployment model. This book will address the challenges related to power that come with Spring Boot's great configurability and flexibility. You will understand how Spring Boot configuration works under the hood, how to overwrite default configurations, and how to use advanced techniques to prepare Spring Boot applications to work in production. This book will also introduce readers to a relatively new topic in the Spring ecosystem – cloud native patterns, reactive programming, and applications. Get up to speed with microservices with Spring Boot and Spring Cloud. Each chapter aims to solve a specific problem or teach you a useful skillset. By the end of this book, you will be proficient in building and deploying your Spring Boot application. Style and approach The book takes a practical, example-driven approach to teaching you all the advanced features of Spring Boot 2.0

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.

Leverage the power of Microsoft Azure Data Factory v2 to build hybrid data solutions About This Book ? Combine the power of Azure Data Factory v2 and SQL Server Integration Services ? Design and enhance performance and scalability of a modern ETL hybrid solution ? Interact with the loaded data in data warehouse and data lake using Power BI Who This Book Is For This book is for you if you are a software professional who develops and implements ETL solutions using Microsoft SQL Server or Azure cloud. It will be an added advantage if you are a software engineer, DW/ETL architect, or ETL developer, and know how to create a new ETL implementation or enhance an existing one with ADF or SSIS. What You Will Learn ? Understand the key components of an ETL solution using Azure Data Factory and Integration Services ? Design the architecture of a modern ETL hybrid solution ? Implement ETL solutions for both on-premises and Azure data ? Improve the performance and scalability of your ETL solution ? Gain thorough knowledge of new capabilities and features added to Azure Data Factory and Integration Services In Detail ETL is one of the essential techniques in data processing. Given data is everywhere, ETL will always be the vital process to handle data from different sources. Hands-On Data Warehousing with Azure Data Factory starts with the basic concepts of data warehousing and ETL process. You will learn how Azure Data Factory and SSIS can be used to understand the key components of an ETL solution. You will go through different services offered by Azure that can be used by ADF and SSIS, such as Azure Data Lake Analytics, Machine Learning and Databrick’s Spark with the help of practical examples. You will explore how to design and implement ETL hybrid solutions using different integration services with a step-by-step approach. Once you get to grips with all this, you will use Power BI to interact with data coming from different sources in order to reveal valuable insights. By the end of this book, you will not only learn how to build your own ETL solutions but also address the key challenges that are faced while building them. Style and approach A step-by-step guide to develop data movement code using SSIS, Azure Data Factory, and database stored procedures for implementing intelligent BI solutions.

Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow Key Features * Weave neural networks into linguistic applications across various platforms * Perform NLP tasks and train its models using NLTK and TensorFlow * Boost your NLP models with strong deep learning architectures such as CNNs and RNNs Book Description Natural language processing (NLP) has found its application in various domains, such as web search, advertisements, and customer services, and with the help of deep learning, we can enhance its performances in these areas. Hands-On Natural Language Processing with Python teaches you how to leverage deep learning models for performing various NLP tasks, along with best practices in dealing with today’s NLP challenges. To begin with, you will understand the core concepts of NLP and deep learning, such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), semantic embedding, Word2vec, and more. You will learn how to perform each and every task of NLP using neural networks, in which you will train and deploy neural networks in your NLP applications. You will get accustomed to using RNNs and CNNs in various application areas, such as text classification and sequence labeling, which are essential in the application of sentiment analysis, customer service chatbots, and anomaly detection. You will be equipped with practical knowledge in order to implement deep learning in your linguistic applications using Python's popular deep learning library, TensorFlow. By the end of this book, you will be well versed in building deep learning-backed NLP applications, along with overcoming NLP challenges with best practices developed by domain experts. What you will learn *Implement semantic embedding of words to classify and find entities *Convert words to vectors by training in order to perform arithmetic operations *Train a deep learning model to detect classification of tweets and news *Implement a question-answer model with search and RNN models *Train models for various text classification datasets using CNN *Implement WaveNet a deep generative model for producing a natural-sounding voice *Convert voice-to-text and text-to-voice *Train a model to convert speech-to-text using DeepSpeech Who this book is for Hands-on Natural Language Processing with Python is for you if you are a developer, machine learning or an NLP engineer who wants to build a deep learning application that leverages NLP techniques. This comprehensive guide is also useful for deep learning users who want to extend their deep learning skills in building NLP applications. All you need is the basics of machine learning and Python to enjoy the book.

Learn from an expert on how use self-adapting and self-healing systems within Docker. About This Book ? Viktor Farcic shows you all aspects in the creation of self-adapting and self-healing systems in both a practical and hands-on approach. ? Learn how to choose a successful solution for metrics storage and query, including InfluxDB, Nagios and Sensu, Prometheus and Graphite. ? Discover how to integrate Docker Flow Monitor with Docker Flow Proxy. ? How to apply Docker self-healing and self-adaptive to both services and infrastructure. Who This Book Is For This book is for professionals experienced with Docker looking to create both self-adapting and self-healing systems using the software. What You Will Learn ? Let Viktor Farcic show you all aspects in the creation of self-adapting and self-healing systems in both a practical and hands-on approach. ? Learn how to choose a successful solution for metrics storage and query, including InfluxDB, Nagios and Sensu, Prometheus and Graphite. ? Understand how to integrate Docker Flow Monitor with Docker Flow Proxy. ? The creation of cluster-wide alerts by creating alerts based on metrics. ? How to apply self-healing and self-adaptive to both services and infrastructure. In Detail Building on The DevOps 2.0 Toolkit and The DevOps 2.1 Toolkit: Docker Swarm, Viktor Farcic brings his latest exploration of the Docker technology as he records his journey to explore two new programs, self-adaptive and self-healing systems within Docker. The DevOps 2.2 Toolkit: Self-Sufficient Docker Clusters is the latest book in Viktor Farcic’s series that helps you build a full DevOps Toolkit. This book in the series looks at Docker, the tool designed to make it easier in the creation and running of applications using containers. In this latest entry, Viktor combines theory with a hands-on approach to guide you through the process of creating self-adaptive and self-healing systems. Within this book, Viktor will cover a wide-range of emerging topics, including what exactly self-adaptive and self-healing systems are, how to choose a solution for metrics storage and query, the creation of cluster-wide alerts and what a successful self-sufficient system blueprint looks like. Work with Viktor and dive into the creation of self-adaptive and self-healing systems within Docker. Style and approach Readers join Viktor Farcic as he continues his exploration of Docker and begins to explore new opportunities with the platform.

Harness the power of React Native to build 4 real-world apps About This Book ? Build quirky and fun projects from scratch and become efficient with React Native ? Learn to build professional Android and iOS applications using your existing JavaScript knowledge ? Use isomorphic principles to build mobile apps that offer a native user experience ? Embedded with assessments that will help you revise the concepts you have learned in this course Who This Book Is For This book is for developers who want to build amazing cross-platform apps with React Native. What You Will Learn ? Structure React Native projects to ease maintenance and extensibility ? Optimize a project to speed up development ? Use external modules to speed up the development and maintenance of your projects ? Explore the different UI and code patterns to be used for iOS and Android ? Get to know the best practices when building apps in React Native In Detail React Native helps web and mobile developers to build cross-platform apps that perform at the same level as any other natively developed app. The range of apps that can be built using this library is huge. From e-commerce to games, React Native is a good fit for any mobile project due to its flexibility and extendable nature. This project-based book consists of four standalone projects. Each project will help you gain a sound understanding of the framework and build mobile apps with native user experience. Starting with a simple standalone car booking app, you will progressively move on to building advanced apps by adding connectivity with external APIs, using native features, such as the camera or microphone, in the mobile device, integrating with state management libraries such as Redux or MobX, or leveraging React Native’s performance by building a full-featured game. This book is ideal for developers who want to build amazing cross-platform apps with React Native. This book is embedded with useful assessments that will help you revise the concepts you have learned in this book. Style and approach This project-based book consists of four projects. Each project is a standalone project that covers the core techniques and concepts of React Native. Note: This book is a blend of text and quizzes, all packaged up keeping your journey in mind. It includes content from the following Packt products: ? React Native Blueprints by Emilio Rodriguez Martinez

Explore the high-in demand core DevOps strategies with powerful DevOps tools such as Ansible, Jenkins, and Chef About This Book ? Get acquainted with methodologies and tools of the DevOps framework ? Perform continuous integration, delivery, deployment, and monitoring using DevOps tools ? Explore popular tools such as Git, Jenkins, Maven, Gerrit, Nexus, Selenium, and so on ? Embedded with assessments that will help you revise the concepts you have learned in this book Who This Book Is For This book is for engineers, architects, and developers, who wish to learn the core strategies of DevOps. What You Will Learn ? Get familiar with life cycle models, maturity states, progression and best practices of DevOps frameworks ? Learn to set up Jenkins and integrate it with Git ? Know how to build jobs and perform testing with Jenkins ? Implement infrastructure automation (Infrastructure as Code) with tools such as Chef and Ansible ? Understand continuous monitoring process with tools such as Splunk and Nagios ? Learn how Splunk improves the code quality In Detail DevOps is the most widely used software engineering culture and practice that aim sat software development and operation. Continuous integration is a cornerstone technique of DevOps that merges software code updates from developers into a shared central mainline. This book takes a practical approach and covers the tools and strategies of DevOps. It starts with familiarizing you with DevOps framework and then shows how toper form continuous delivery, integration, and deployment with DevOps. You will explore DevOps process maturity frameworks and progression models with checklist templates for each phase of DevOps. You will also be familiar with agile terminology, methodology, and the benefits accrued by an organization by adopting it. You will also get acquainted with popular tools such as Git, Jenkins ,Maven, Gerrit, Nexus, Selenium, and so on.You will learn configuration, automation, and the implementation of infrastructure automation (Infrastructure as Code) with tools such as Chef and Ansible. This book is ideal for engineers, architects, and developers, who wish to learn the core strategies of DevOps. Style and approach This book takes a practical approach and covers the tools and strategies of DevOps. It starts with familiarizing you with DevOps framework and then shows how to perform continuous delivery, integration, and deployment with DevOps. Note: This book is a blend of text and quizzes, all packaged up keeping your journey in mind. It includes content from the following Packt product: ? Hands-on DevOps by Sricharan Vadapalli

Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs About This Book ? Build computer vision applications with OpenCV functionality via Python API ? Get to grips with image processing, multiple view geometry, and machine learning ? Learn to use deep learning models for image classification, object detection, and face recognition Who This Book Is For This book is for developers who have a basic knowledge of Python. If you are aware of the basics of OpenCV and are ready to build computer vision systems that are smarter, faster, more complex, and more practical than the competition, then this book is for you. What You Will Learn ? Get familiar with low-level image processing methods ? See the common linear algebra tools needed in computer vision ? Work with different camera models and epipolar geometry ? Find out how to detect interesting points in images and compare them ? Binarize images and mask out regions of interest ? Detect objects and track them in videos In Detail OpenCV 3 is a native cross-platform library for computer vision, machine learning, and image processing. OpenCV's convenient high-level APIs hide very powerful internals designed for computational efficiency that can take advantage of multicore and GPU processing. This book will help you tackle increasingly challenging computer vision problems by providing a number of recipes that you can use to improve your applications. In this book, you will learn how to process an image by manipulating pixels and analyze an image using histograms. Then, we'll show you how to apply image filters to enhance image content and exploit the image geometry in order to relay different views of a pictured scene. We’ll explore techniques to achieve camera calibration and perform a multiple-view analysis. Later, you’ll work on reconstructing a 3D scene from images, converting low-level pixel information to high-level concepts for applications such as object detection and recognition. You’ll also discover how to process video from files or cameras and how to detect and track moving objects. Finally, you'll get acquainted with recent approaches in deep learning and neural networks. By the end of the book, you’ll be able to apply your skills in OpenCV to create computer vision applications in various domains. Style and approach This book helps you learn the core concepts of OpenCV faster by taking a recipe-based approach where you can try out different code snippets to understand a concept.

Create and manage spatial data with PostGIS About This Book ? Import and export geographic data from the PostGIS database using the available tools ? Maintain, optimize, and fine-tune spatial data for long-term viability ? Utilize the parallel support functionality that was introduced in PostgreSQL 9.6 Who This Book Is For This book is for developers who need some quick solutions for PostGIS. Prior knowledge of PostgreSQL and spatial concepts would be an added advantage. What You Will Learn ? Import and export geographic data from the PostGIS database using the available tools ? Structure spatial data using the functionality provided by a combination of PostgreSQL and PostGIS ? Work with a set of PostGIS functions to perform basic and advanced vector analyses ? Connect PostGIS with Python ? Learn to use programming frameworks around PostGIS ? Maintain, optimize, and fine-tune spatial data for long-term viability ? Explore the 3D capabilities of PostGIS, including LiDAR point clouds and point clouds derived from Structure from Motion (SfM) techniques ? Distribute 3D models through the Web using the X3D standard ? Use PostGIS to develop powerful GIS web applications using Open Geospatial Consortium web standards ? Master PostGIS Raster In Detail PostGIS is a spatial database that integrates the advanced storage and analysis of vector and raster data, and is remarkably flexible and powerful. PostGIS provides support for geographic objects to the PostgreSQL object-relational database and is currently the most popular open source spatial databases. If you want to explore the complete range of PostGIS techniques and expose related extensions, then this book is for you. This book is a comprehensive guide to PostGIS tools and concepts which are required to manage, manipulate, and analyze spatial data in PostGIS. It covers key spatial data manipulation tasks, explaining not only how each task is performed, but also why. It provides practical guidance allowing you to safely take advantage of the advanced technology in PostGIS in order to simplify your spatial database administration tasks. Furthermore, you will learn to take advantage of basic and advanced vector, raster, and routing approaches along with the concepts of data maintenance, optimization, and performance, and will help you to integrate these into a large ecosystem of desktop and web tools. By the end, you will be armed with all the tools and instructions you need to both manage the spatial database system and make better decisions as your project's requirements evolve. Style and approach This comprehensive guide uses a problem-solving approach to help you acquire a solid understanding of PostGIS.

Transform and modernize your businesses and upgrade your enterprise management skills with Odoo 11, the most comprehensive management software About This Book ? Use project management along with analytics for better reporting ? Build an Odoo module and integrate it with other platforms with this practical guide ? Explore new design and mobile updates from the Odoo enterprise Who This Book Is For This book is for beginners, and will help you learn advanced-level features with Odoo such as creating your own custom modules. You do not need any prior knowledge of Odoo. What You Will Learn ? Configure a functioning customer relationship management system ? Set up a purchasing and receiving system ? Implement manufacturing operations and processes using real-world examples ? Discover the capabilities of Odoo's financial accounting and reporting features ? Integrate powerful human resource applications ? Utilize Odoo's project management application to organize tasks ? Customize Odoo without writing a line of code In Detail Odoo is an all-in-one management software that offers an array of business applications, forming a complete suite of enterprise management applications. Odoo 11 comes with advances on usability, speed, and design. Working with Odoo 11 starts with how to set up Odoo, both online and on your own server. You’ll then configure the basic company settings required to quickly get your first Odoo system up and running. Later, you’ll explore customer relationship management in Odoo and its importance in a modern business environment. You'll then dive into purchasing applications with Odoo, learn some of the primary functionalities of ERP systems for manufacturing operations, and use analytic accounting to provide better reporting. After that, you'll learn how to work with Odoo for mobile, and finally, you will walk through the recent Odoo 11 features with respect to the community and enterprise edition, giving you a complete understanding of what Odoo can do for your business. Style and approach A guide to learning the advanced features of Odoo 11, to enable customization of Odoo modules to suite ones' business needs.

Key concepts, sample applications, best practices, and troubleshooting tips to build highly scalable applications in AWS. About This Book ? Design highly available, cost efficient, fault tolerant, and scalable distributed systems ? A practical guide that will help you build, deploy, and manage applications with ease. ? Develop effective solutions with AWS SDK and Lambda Who This Book Is For This book targets developers who would like to build and manage web and mobile applications and services on the AWS platform. If you are an architect you will be able to take a deep dive and use examples that can be readily applied to real world scenarios. Some prior programming experience is assumed along with familiarity of cloud computing. What You Will Learn ? Learn how to get up and running with AWS Developer Tools. ? Integrate the four major phases in the Release Processes. Source, Build, Test and Production. ? Learn how to integrate Continuous Integration, Continuous Delivery, and Continuous Deployment in AWS. ? Make secure, scalable and fault tolerant applications. ? Understand different architectures and deploy complex architectures within minutes In Detail Continuous deployment and Agile methodology have enabled huge advances in modern applications. This book will enable the reader to make use of this rapidly evolving technology to build highly scalable applications within AWS using different architectures. You will begin with installation of AWS SDK and you will get hands-on experience on creating an application using AWS Management Console and AWS Command Line Interface (CLI). Next you will be integrating Applications with AWS services such as DynamoDB, Amazon Kinesis, AWS Lambda, Amazon SQS and Amazon SWF Following this you will get well versed with CI/CD workflow and work with four major phases in Release processes – Source, Build, Test and Production. Next you will learn to apply AWS developer tools in your Continuous Integration (CI) and Continuous Deployment (CD) WorkFlow. Later you will learn about User Authentication using Amazon Cognito and also how you can evaluate the best architecture as per your infrastructure costs. You will learn about Amazon EC2 service and deploy an app using Amazon EC2.You will also get well versed with container service which is Amazon EC2 Container Service (Amazon ECS) and you will learn to deploy an app using Amazon ECS. Along with EC2 and ECS, you will also deploying a practical real-world example of a CI/CD application with the Serverless Application Framework which is known as AWS Lambda. Finally you will learn how to build, develop and deploy the Application using AWS Developer tools like AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline as per project needs. Also you can develop and deploy applications within minutes using AWS CodeStar from wizard. By the end of this book, the reader will effectively build, deploy, and manage applications on AWS along with scaling and securing applications with best practices and troubleshooting tips. Style and approach This book covers follows an approach where you will learn the key concepts followed by a real world example and some tips and tricks to make building and deploying easier

Network virtualization at your fingertips About This Book ? Over 70 practical recipes created by two VCIX-NV certified NSX experts ? Explore best practices to deploy, operate, and upgrade VMware NSX for vSphere ? Leverage NSX REST API using various tools from Python in VMware vRealize Orchestrator Who This Book Is For If you are a security and network administrator and looking to gain an intermediate level for network and security virtualization, then this book is for you. The reader should have a basic knowledge with VMware NSX. What You Will Learn ? Understand, install, and configure VMware NSX for vSphere solutions ? Configure logical switching, routing, and Edge Services Gateway in VMware NSX for vSphere ? Learn how to plan and upgrade VMware NSX for vSphere ? Learn how to use built-in monitoring tools such as Flow Monitoring, Traceflow, Application Rule Manager, and Endpoint Monitoring ? Learn how to leverage the NSX REST API for management and automation using various tools from Python to VMware vRealize Orchestrator In Detail This book begins with a brief introduction to VMware's NSX for vSphere Network Virtualization solutions and how to deploy and configure NSX components and features such as Logical Switching, Logical Routing, layer 2 bridging and the Edge Services Gateway. Moving on to security, the book shows you how to enable micro-segmentation through NSX Distributed Firewall and Identity Firewall and how to do service insertion via network and guest introspection. After covering all the feature configurations for single-site deployment, the focus then shifts to multi-site setups using Cross-vCenter NSX. Next, the book covers management, backing up and restoring, upgrading, and monitoring using built-in NSX features such as Flow Monitoring, Traceflow, Application Rule Manager, and Endpoint Monitoring. Towards the end, you will explore how to leverage VMware NSX REST API using various tools from Python to VMware vRealize Orchestrator. Style and approach The book follows a practical, recipe-based approach and teaches readers how to leverage VMware NSX and implement these recipes directly into their enterprise.

Get acquainted with GCP and manage robust, highly available, and dynamic solutions to drive business objective About This Book ? Identify the strengths, weaknesses and ideal use-cases for individual services offered on the Google Cloud Platform ? Make intelligent choices about which cloud technology works best for your use-case ? Leverage Google Cloud Platform to analyze and optimize technical and business processes Who This Book Is For If you are a Cloud architect who is responsible to design and manage robust cloud solutions with Google Cloud Platform, then this book is for you. System engineers and Enterprise architects will also find this book useful. A basic understanding of distributed applications would be helpful, although not strictly necessary. Some working experience on other public cloud platforms would help too. What You Will Learn ? Set up GCP account and utilize GCP services using the cloud shell, web console, and client APIs ? Harness the power of App Engine, Compute Engine, Containers on the Kubernetes Engine, and Cloud Functions ? Pick the right managed service for your data needs, choosing intelligently between Datastore, BigTable, and BigQuery ? Migrate existing Hadoop, Spark, and Pig workloads with minimal disruption to your existing data infrastructure, by using Dataproc intelligently ? Derive insights about the health, performance, and availability of cloud-powered applications with the help of monitoring, logging, and diagnostic tools in Stackdriver In Detail Using a public cloud platform was considered risky a decade ago, and unconventional even just a few years ago. Today, however, use of the public cloud is completely mainstream - the norm, rather than the exception. Several leading technology firms, including Google, have built sophisticated cloud platforms, and are locked in a fierce competition for market share. The main goal of this book is to enable you to get the best out of the GCP, and to use it with confidence and competence. You will learn why cloud architectures take the forms that they do, and this will help you become a skilled high-level cloud architect. You will also learn how individual cloud services are configured and used, so that you are never intimidated at having to build it yourself. You will also learn the right way and the right situation in which to use the important GCP services. By the end of this book, you will be able to make the most out of Google Cloud Platform design. Style and approach A clear, concise, and straightforward book which will enable to develop and manage optimum solutions for your infrastructure

Create various design patterns to master the art of solving problems using Java About This Book ? This book demonstrates the shift from OOP to functional programming and covers reactive and functional patterns in a clear and step-by-step manner ? All the design patterns come with a practical use case as part of the explanation, which will improve your productivity ? Tackle all kinds of performance-related issues and streamline your development Who This Book Is For This book is for those who are familiar with Java development and want to be in the driver’s seat when it comes to modern development techniques. Basic OOP Java programming experience and elementary familiarity with Java is expected. What You Will Learn ? Understand the OOP and FP paradigms ? Explore the traditional Java design patterns ? Get to know the new functional features of Java ? See how design patterns are changed and affected by the new features ? Discover what reactive programming is and why is it the natural augmentation of FP ? Work with reactive design patterns and find the best ways to solve common problems using them ? See the latest trends in architecture and the shift from MVC to serverless applications ? Use best practices when working with the new features In Detail Having a knowledge of design patterns enables you, as a developer, to improve your code base, promote code reuse, and make the architecture more robust. As languages evolve, new features take time to fully understand before they are adopted en masse. The mission of this book is to ease the adoption of the latest trends and provide good practices for programmers. We focus on showing you the practical aspects of smarter coding in Java. We'll start off by going over object-oriented (OOP) and functional programming (FP) paradigms, moving on to describe the most frequently used design patterns in their classical format and explain how Java’s functional programming features are changing them. You will learn to enhance implementations by mixing OOP and FP, and finally get to know about the reactive programming model, where FP and OOP are used in conjunction with a view to writing better code. Gradually, the book will show you the latest trends in architecture, moving from MVC to microservices and serverless architecture. We will finish off by highlighting the new Java features and best practices. By the end of the book, you will be able to efficiently address common problems faced while developing applications and be comfortable working on scalable and maintainable projects of any size. Style and approach This book explains design patterns in a step-by-step manner with clear and concise code explanations.

Become a master at penetration testing using machine learning with Python About This Book ? Identify ambiguities and breach intelligent security systems ? Perform unique cyber attacks to breach robust systems ? Learn to leverage machine learning algorithms Who This Book Is For This book is for pen testers and security professionals who are interested in learning techniques to break an intelligent security system. Basic knowledge of Python is needed, but no prior knowledge of machine learning is necessary. What You Will Learn ? Take an in-depth look at machine learning ? Get to know natural language processing (NLP) ? Understand malware feature engineering ? Build generative adversarial networks using Python libraries ? Work on threat hunting with machine learning and the ELK stack ? Explore the best practices for machine learning In Detail Cyber security is crucial for both businesses and individuals. As systems are getting smarter, we now see machine learning interrupting computer security. With the adoption of machine learning in upcoming security products, it’s important for pentesters and security researchers to understand how these systems work, and to breach them for testing purposes. This book begins with the basics of machine learning and the algorithms used to build robust systems. Once you’ve gained a fair understanding of how security products leverage machine learning, you'll dive into the core concepts of breaching such systems. Through practical use cases, you’ll see how to find loopholes and surpass a self-learning security system. As you make your way through the chapters, you’ll focus on topics such as network intrusion detection and AV and IDS evasion. We’ll also cover the best practices when identifying ambiguities, and extensive techniques to breach an intelligent system. By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system. Style and approach This book takes a step-by-step approach to identify the loop holes in a self-learning security system. You will be able to efficiently breach a machine learning system with the help of best practices towards the end of the book.

Leverage the simplicity of Python and available libraries to build web security testing tools for your application About This Book ? Understand the web application penetration testing methodology and toolkit using Python ? Write a web crawler/spider with the Scrapy library ? Detect and exploit SQL injection vulnerabilities by creating a script all by yourself Who This Book Is For Learning Python Web Penetration Testing is for web developers who want to step into the world of web application security testing. Basic knowledge of Python is necessary. What You Will Learn ? Interact with a web application using the Python and Requests libraries ? Create a basic web application crawler and make it recursive ? Develop a brute force tool to discover and enumerate resources such as files and directories ? Explore different authentication methods commonly used in web applications ? Enumerate table names from a database using SQL injection ? Understand the web application penetration testing methodology and toolkit In Detail Web penetration testing is the use of tools and code to attack a website or web app in order to assess its vulnerability to external threats. While there are an increasing number of sophisticated, ready-made tools to scan systems for vulnerabilities, the use of Python allows you to write system-specific scripts, or alter and extend existing testing tools to find, exploit, and record as many security weaknesses as possible. Learning Python Web Penetration Testing will walk you through the web application penetration testing methodology, showing you how to write your own tools with Python for each activity throughout the process. The book begins by emphasizing the importance of knowing how to write your own tools with Python for web application penetration testing. You will then learn to interact with a web application using Python, understand the anatomy of an HTTP request, URL, headers and message body, and later create a script to perform a request, and interpret the response and its headers. As you make your way through the book, you will write a web crawler using Python and the Scrappy library. The book will also help you to develop a tool to perform brute force attacks in different parts of the web application. You will then discover more on detecting and exploiting SQL injection vulnerabilities. By the end of this book, you will have successfully created an HTTP proxy based on the mitmproxy tool. Style and approach A easy-to-follow guide that will help you build different web application security testing tools. With each chapter building on the knowledge of the previous section, this book will help you to smartly assess the security needs of your apps.

Run Ansible playbooks to launch complex multi-tier applications hosted in public clouds About This Book ? Build your learning curve using Ansible ? Automate cloud, network, and security infrastructures with ease ? Gain hands-on exposure on Ansible Who This Book Is For Learn Ansible is perfect for system administrators and developers who want to take their current workflows and transform them into repeatable playbooks using Ansible. No prior knowledge of Ansible is required. What You Will Learn ? Write your own playbooks to configure servers running CentOS, Ubuntu, and Windows ? Identify repeatable tasks and write playbooks to automate them ? Define a highly available public cloud infrastructure in code, making it easy to distribute your infrastructure configuration ? Deploy and configure Ansible Tower and Ansible AWX ? Learn to use community contributed roles ? Use Ansible in your day-to-day role and projects In Detail Ansible has grown from a small, open source orchestration tool to a full-blown orchestration and configuration management tool owned by Red Hat. Its powerful core modules cover a wide range of infrastructures, including on-premises systems and public clouds, operating systems, devices, and services—meaning it can be used to manage pretty much your entire end-to-end environment. Trends and surveys say that Ansible is the first choice of tool among system administrators as it is so easy to use. This end-to-end, practical guide will take you on a learning curve from beginner to pro. You'll start by installing and configuring the Ansible to perform various automation tasks. Then, we'll dive deep into the various facets of infrastructure, such as cloud, compute and network infrastructure along with security. By the end of this book, you'll have an end-to-end understanding of Ansible and how you can apply it to your own environments. Style and approach A hands-on approach to give you practical experience of writing playbooks and roles and executing them. At the end of each chapter, you’ll find test questions to test your knowledge on Ansible.

Leverage the power of Apple's Core ML to create smart iOS apps About This Book ? Explore the concepts of machine learning and Apple’s Core ML APIs ? Use Core ML to understand and transform images and videos ? Exploit the power of using CNN and RNN in iOS applications Who This Book Is For Machine Learning with Core ML is for you if you are an intermediate iOS developer interested in applying machine learning to your mobile apps. This book is also for those who are machine learning developers or deep learning practitioners who want to bring the power of neural networks in their iOS apps. Some exposure to machine learning concepts would be beneficial but not essential, as this book acts as a launchpad into the world of machine learning for developers. What You Will Learn ? Understand components of an ML project using algorithms, problems, and data ? Master Core ML by obtaining and importing machine learning model, and generate classes ? Prepare data for machine learning model and interpret results for optimized solutions ? Create and optimize custom layers for unsupported layers ? Apply CoreML to image and video data using CNN ? Learn the qualities of RNN to recognize sketches, and augment drawing ? Use Core ML transfer learning to execute style transfer on images In Detail Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine learning models and then integrate them into your iOS apps. Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this book, you’ll walk through realistic and interesting examples of machine learning in the context of mobile platforms (specifically iOS). You’ll learn to implement Core ML for visual-based applications using the principles of transfer learning and neural networks. Having got to grips with the basics, you’ll discover a series of seven examples, each providing a new use-case that uncovers how machine learning can be applied along with the related concepts. By the end of the book, you will have the skills required to put machine learning to work in their own applications, using the Core ML APIs Style and approach An easy-to-follow step by step guide which will help you get to grips with real world application of CoreML

Develop and deploy fully functional applications and microservices utilising Tomcat, Glassfish servers, Cloud and docker in Java EE 8 About This Book ? Explore the complete workflow of developing enterprise Java applications ? Develop microservices with Docker Container and deploy it in cloud ? Simplify Java EE application development Who This Book Is For If you are a Java developer with little or no experience in Java EE application development, or if you have experience in Java EE technology but are looking for tips to simplify and accelerate your development process, then this book is for you. What You Will Learn ? Set up Eclipse, Tomcat, and Glassfish servers for Java EE application development ? Use JSP, Servlet, JSF, and EJBs to create a user interface and write business logic ? Create Java EE database applications using JDBC and JPA ? Handle asynchronous messages using MDBs for better scalability ? Deploy and debug Java EE applications and create SOAP and REST web services ? Write unit tests and calculate code coverage ? Use Eclipse MAT (Memory Analysis Tool) to debug memory issues ? Create and deploy microservices In Detail Java EE is one of the most popular tools for enterprise application design and development. With recent changes to Java EE 8 specifications, Java EE application development has become a lot simpler with the new specifications, some of which compete with the existing specifications. This guide provides a complete overview of developing highly performant, robust and secure enterprise applications with Java EE with Eclipse. The book begins by exploring different Java EE technologies and how to use them (JSP, JSF, JPA, JDBC, EJB, and more), along with suitable technologies for different scenarios. You will learn how to set up the development environment for Java EE applications and understand Java EE specifications in detail, with an emphasis on examples. The book takes you through deployment of an application in Tomcat, GlassFish Servers, and also in the cloud. It goes beyond the basics and covers topics like debugging, testing, deployment, and securing your Java EE applications. You'll also get to know techniques to develop cloud-ready microservices in Java EE. Style and approach This guide takes a step-by-step approach to developing, testing, debugging, and troubleshooting Java EE applications, complete with examples and tips.