Use Wireshark 2 to overcome real-world network problems About This Book ? Delve into the core functionalities of the latest version of Wireshark ? Master network security skills with Wireshark 2 ? Efficiently find the root cause of network-related issues Who This Book Is For If you are a security professional or a network enthusiast and are interested in understanding the internal working of networks, and if you have some prior knowledge of using Wireshark, then this book is for you. What You Will Learn ? Understand what network and protocol analysis is and how it can help you ? Use Wireshark to capture packets in your network ? Filter captured traffic to only show what you need ? Explore useful statistic displays to make it easier to diagnose issues ? Customize Wireshark to your own specifications ? Analyze common network and network application protocols In Detail Wireshark, a combination of a Linux distro (Kali) and an open source security framework (Metasploit), is a popular and powerful tool. Wireshark is mainly used to analyze the bits and bytes that flow through a network. It efficiently deals with the second to the seventh layer of network protocols, and the analysis made is presented in a form that can be easily read by people. Mastering Wireshark 2 helps you gain expertise in securing your network. We start with installing and setting up Wireshark2.0, and then explore its interface in order to understand all of its functionalities. As you progress through the chapters, you will discover different ways to create, use, capture, and display filters. By halfway through the book, you will have mastered Wireshark features, analyzed different layers of the network protocol, and searched for anomalies. You’ll learn about plugins and APIs in depth. Finally, the book focuses on pocket analysis for security tasks, command-line utilities, and tools that manage trace files. By the end of the book, you'll have learned how to use Wireshark for network security analysis and configured it for troubleshooting purposes. Style and approach This step-by-step guide on Wireshark 2 starts with capturing and filtering traffic and follows with analysis and statistics, as well as all the new features of Wireshark 2.

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

Manage vRealize operations manager 6.6 effectively using this comprehensive guide. About This Book ? Get complete control of capacity management in your virtual environment ? Display the most appropriate performance metrics and assemble your own dashboard ? Analyze and process data from different sources into a single repository ? Optimize vRealize Automation workload placement Who This Book Is For If you are an administrator of a virtual environment and have used vRealize Operations before but want to gain a professional understanding by easily implementing complex tasks with it, then this book is for you. What You Will Learn ? Discover advanced vRealize Operations concepts and design your processes effectively for the underlying architecture ? Plan and install a new version or upgrade from a previous one ? Apply proven capacity management theories and techniques in practical, real-world environments ? Manipulate data and metrics to display them in the most effective way possible ? Create custom views and dashboards fit for any use case ? Explore how policies have evolved in vRealize Operations 6.6 and how to apply them in the most effective manner In Detail In the modern IT world, the criticality of managing the health, efficiency, and compliance of virtualized environments is more important than ever. With vRealize Operations Manager 6.6, you can make a difference to your business by being reactive rather than proactive. Mastering vRealize Operations Manager helps you streamline your processes and customize the environment to suit your needs. You will gain visibility across all devices in the network and retain full control. With easy-to-follow, step-by-step instructions and support images, you will quickly master the ability to manipulate your data and display it in a way that best suits you and your business or technical requirements. This book not only covers designing, installing, and upgrading vRealize Operations 6.6, but also gives you a deep understanding of its building blocks: badges, alerts, super metrics, views, dashboards, management packs, and plugins. With the new vRealize Operations 6.6 troubleshooting capabilities, capacity planning, intelligent workload placement, and additional monitoring capabilities, this book is aimed at ensuring you get the knowledge to manage your virtualized environment as effectively as possible. Style and approach A step-by-step practical approach guide that help you learn new features of vRealize operations manager 6.6.

Understand malware analysis and its practical implementation About This Book ? Explore the key concepts of malware analysis and memory forensics using real-world examples ? Learn the art of detecting, analyzing, and investigating malware threats ? Understand adversary tactics and techniques Who This Book Is For This book is for incident responders, cyber-security investigators, system administrators, malware analyst, forensic practitioners, student, or curious security professionals interested in learning malware analysis and memory forensics. Knowledge of programming languages such as C and Python is helpful but is not mandatory. If you have written few lines of code and have a basic understanding of programming concepts, you’ll be able to get most out of this book. What You Will Learn ? Create a safe and isolated lab environment for malware analysis ? Extract the metadata associated with malware ? Determine malware's interaction with the system ? Perform code analysis using IDA Pro and x64dbg ? Reverse-engineer various malware functionalities ? Reverse engineer and decode common encoding/encryption algorithms ? Perform different code injection and hooking techniques ? Investigate and hunt malware using memory forensics In Detail Malware analysis and memory forensics are powerful analysis and investigation techniques used in reverse engineering, digital forensics, and incident response. With adversaries becoming sophisticated and carrying out advanced malware attacks on critical infrastructures, data centers, and private and public organizations, detecting, responding to, and investigating such intrusions is critical to information security professionals. Malware analysis and memory forensics have become must-have skills to fight advanced malware, targeted attacks, and security breaches. This book teaches you the concepts, techniques, and tools to understand the behavior and characteristics of malware through malware analysis. It also teaches you techniques to investigate and hunt malware using memory forensics. This book introduces you to the basics of malware analysis, and then gradually progresses into the more advanced concepts of code analysis and memory forensics. It uses real-world malware samples, infected memory images, and visual diagrams to help you gain a better understanding of the subject and to equip you with the skills required to analyze, investigate, and respond to malware-related incidents. Style and approach The book takes the reader through all the concepts, techniques and tools to understand the behavior and characteristics of malware by using malware analysis and it also teaches the techniques to investigate and hunt malware using memory forensics.

Learn steps and tasks to help a NetSuite administrator perform both his daily and monthly tasks efficiently. Advance his expertise to become NetSuite leader without having to spend time and money on corporate trainings. About This Book ? Understand the business considerations and implementation of the NetSuite ERP ? Gain a deep knowledge of enterprise security, data management, process automation, and analytics ? Learn techniques to sail through system maintenance while ensuring accuracy and to practically troubleshoot issues Who This Book Is For This book is for administrators, consultants, and Project Managers who would like to improve their skills in the areas of configuration and system management. Basic experience implementing NetSuite is assumed. What You Will Learn ? Provide executives with meaningful insights into the business ? A Framework to streamline the implementation of new and existing features ? Leverage built-in tools to optimize your efficiency and effectiveness ? Test configuration to check the implementation of role-specific permissions ? Understand how to optimize the amount of data to be shared with users ? Import data like new leads and employ current data like pricing updates ? Perform on-going maintenance and troubleshoot issues In Detail NetSuite ERP is a complete, scalable cloud ERP solution targeted at fast-growing, mid-sized businesses and large enterprises. It's the smartly executed combination of financial management operations and built-in business intelligence, which enables companies to make data-driven and well-informed decisions. This book will help administrators become expert enough to be seen as the NetSuite leader at their company and to be able to advise department heads on specific processes, and strategic decisions. We start with an overview of ERP and NetSuite ERP, before going on to explain the built-in features to show the breadth of NetSuite ERP's product and its ease of use. We then discuss business aspects, focusing on the most important processes in NetSuite. Then you'll understand the implementation aspects that are generic enough to cover all the features. The focus then shifts to specific skills that you will need to administer for any system, such as roles, permissions, customization, and data imports. Moving on, you'll learn how to centralize the creation of search templates and give users the tools to pivot the data and expose it to the user in useful ways, such as on the dashboard. The book ends with checklists providing actionable steps that you as an administrator can take to do your job and support the application through new releases and troubleshooting problems. Style and approach A slow and steady introduction of topics from reports through searches with aim to enable the administrator to gain a holistic view of the NetSuite product.

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.

Discover techniques and tools for building serverless applications with AWS Lambda About This Book ? Learn to write, run, and deploy Lambda functions in the AWS cloud ? Make the most of AWS Lambda functions to build scalable and cost-efficient systems ? A practical guide to developing serverless services and applications in Node.js, Java, Python, and C# Who This Book Is For This book is primarily for IT architects and developers who want to build scalable systems and deploy serverless applications with AWS Lambda. No prior knowledge of AWS is necessary. What You Will Learn ? Understand the fundamental concepts of AWS Lambda ? Get to grips with the Serverless Framework and how to create a serverless project ? Testing and debugging Lambda functions ? Create a stateful, serverless backend with DynamoDB ? Program AWS Lambda with Java, Python, and C# ? Program a lambda function with Node.js In Detail AWS Lambda is a part of AWS that lets you run your code without provisioning or managing servers. This enables you to deploy applications and backend services that operate with no upfront cost. This book gets you up to speed on how to build scalable systems and deploy serverless applications with AWS Lambda. The book starts with the fundamental concepts of AWS Lambda, and then teaches you how to combine your applications with other AWS services, such as AmazonAPI Gateway and DynamoDB. This book will also give a quick walk through on how to use the Serverless Framework to build larger applications that can structure code or autogenerate boilerplate code that can be used to get started quickly for increased productivity. Toward the end of the book, you will learn how to write, run, and test Lambda functions using Node.js, Java, Python, and C#. Style and approach This book will provide clear instructions that introduce the viewer to programming AWS Lambda with Node.js, Java, Python, and C#. Moreover, readers will learn how to deploy and test Lambda functions, and how to set up and use the serverless framework.

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.

This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive. About This Book ? Grasp the skills needed to write efficient Hive queries to analyze the Big Data ? Discover how Hive can coexist and work with other tools within the Hadoop ecosystem ? Uses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3.3 Who This Book Is For If you are a data analyst, developer, or simply someone who wants to quickly get started with Hive to explore and analyze Big Data in Hadoop, this is the book for you. Since Hive is an SQL-like language, some previous experience with SQL will be useful to get the most out of this book. What You Will Learn ? Create and set up the Hive environment ? Discover how to use Hive's definition language to describe data ? Discover interesting data by joining and filtering datasets in Hive ? Transform data by using Hive sorting, ordering, and functions ? Aggregate and sample data in different ways ? Boost Hive query performance and enhance data security in Hive ? Customize Hive to your needs by using user-defined functions and integrate it with other tools In Detail In this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith the process of setting up and getting familiar with your Hive working environment. Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skills in using the Hive language in an effcient manner. Toward the end, the book focuses on advanced topics, such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey. By the end of the book, you will be familiar with Hive and able to work effeciently to find solutions to big data problems Style and approach This book takes on a practical approach which will get you familiarized with Apache Hive and how to use it to efficiently to find solutions to your big data problems. This book covers crucial topics like performance, and data security in order to help you make the most of the Hive working environment.

Learn to design and develop safe and reliable embedded systems About This Book ? Identify and overcome challenges in embedded environments ? Understand the steps required to increase the security of IoT solutions ? Build safety-critical and memory-safe parallel and distributed embedded systems Who This Book Is For If you’re a software developer or designer wanting to learn about embedded programming, this is the book for you. You’ll also find this book useful if you’re a less experienced embedded programmer willing to expand your knowledge. What You Will Learn ? Participate in the design and definition phase of an embedded product ? Get to grips with writing code for ARM Cortex-M microcontrollers ? Build an embedded development lab and optimize the workflow ? Write memory-safe code ? Understand the architecture behind the communication interfaces ? Understand the design and development patterns for connected and distributed devices in the IoT ? Master multitask parallel execution patterns and real-time operating systems In Detail Embedded systems are self-contained devices with a dedicated purpose. We come across a variety of fields of applications for embedded systems in industries such as automotive, telecommunications, healthcare and consumer electronics, just to name a few. Embedded Systems Architecture begins with a bird's eye view of embedded development and how it differs from the other systems that you may be familiar with. You will first be guided to set up an optimal development environment, then move on to software tools and methodologies to improve the work flow. You will explore the boot-up mechanisms and the memory management strategies typical of a real-time embedded system. Through the analysis of the programming interface of the reference microcontroller, you'll look at the implementation of the features and the device drivers. Next, you'll learn about the techniques used to reduce power consumption. Then you will be introduced to the technologies, protocols and security aspects related to integrating the system into IoT solutions. By the end of the book, you will have explored various aspects of embedded architecture, including task synchronization in a multi-threading environment, and the safety models adopted by modern real-time operating systems. Style and approach Software developers and designers with experience in different fields, and who want to learn about embedded programming, will benefit from this book. Junior and less experienced embedded programmers willing to expand their knowledge in the field will also find it useful.

Leverage the power of various Google Cloud AI Services by building a smart web application using MEAN Stack About This Book ? Start working with the Google Cloud Platform and the AI services it offers ? Build smart web applications by combining the power of Google Cloud AI services and the MEAN stack ? Build a web-based dashboard of smart applications that perform language processing, translation, and computer vision on the cloud Who This Book Is For This book is ideal for data professionals and web developers who want to use the power of Google Cloud AI services in their projects, without the going through the pain of mastering machine learning for images, videos and text. Some familiarity with the Google Cloud Platform will be helpful. What You Will Learn ? Understand Google Cloud Platform and its Cloud AI services ? Explore the Google ML Services ? Work with an Angular 5 MEAN stack application ? Integrate Vision API, Video Intelligence API for computer vision ? Be ready for conversational experiences with the Speech Recognition API, Cloud Language Process and Cloud Translation API services ? Build a smart web application that uses the power of Google Cloud AI services to make apps smarter In Detail Cognitive services are the new way of adding intelligence to applications and services. Now we can use Artificial Intelligence as a service that can be consumed by any application or other service, to add smartness and make the end result more practical and useful. Google Cloud AI enables you to consume Artificial Intelligence within your applications, from a REST API.? Text, video and speech analysis are among the powerful machine learning features that can be used. This book is the easiest way to get started with the Google Cloud AI services suite and open up the world of smarter applications. This book will help you build a Smart Exchange, a forum application that will let you upload videos, images and perform text to speech conversions and translation services. You will use the power of Google Cloud AI Services to make our simple forum application smart by validating the images, videos, and text provided by users to Google Cloud AI Services and make sure the content which is uploaded follows the forum standards, without a human curator involvement. You will learn how to work with the Vision API, Video Intelligence API, Speech Recognition API, Cloud Language Process, and Cloud Translation API services to make your application smarter. By the end of this book, you will have a strong understanding of working with Google Cloud AI Services, and be well on the way to building smarter applications. Style and approach We follow a project-based approach where we build a public forum application ifor uploading images or videos, posting and translating text messages. We incrementally add features by integrating each API as we go.

Understand the benefits of DevOps and continuous delivery and see how they support the agile software development process About This Book ? Learn how DevOps can accelerate your entire software development life cycle ? Improve your organization's performance to ensure the smooth production of software and services ? Get hands-on experience in using efficient DevOps tools to better effect Who This Book Is For If you're a developer or system administrator looking to take on larger responsibilities and understand how the infrastructure that builds today's enterprises works, this is the book for you. This book will also help you greatly if you're an operations worker who would like to better support developers. You do not need any previous knowledge of DevOps to understand the concepts in this book. What You Will Learn ? Understand how all deployment systems fit together to form a larger system ? Set up and familiarize yourself with all the tools you need to be efficient with DevOps ? Design an application suitable for continuous deployment systems with DevOps in mind ? Store and manage your code effectively using Git, Gerrit, Gitlab, and more ? Configure a job to build a sample CRUD application ? Test your code using automated regression testing with Jenkins Selenium ? Deploy your code using tools such as Puppet, Ansible, Palletops, Chef, and Vagrant In Detail DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all code workflows from testing environments to production environments. It stresses cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations. Practical DevOps begins with a quick refresher on DevOps and continuous delivery and quickly moves on to show you how DevOps affects software architectures. You'll create a sample enterprise Java application that you’'ll continue to work with through the remaining chapters. Following this, you will explore various code storage and build server options. You will then learn how to test your code with a few tools and deploy your test successfully. In addition to this, you will also see how to monitor code for any anomalies and make sure that it runs as expected. Finally, you will discover how to handle logs and keep track of the issues that affect different processes. By the end of the book, you will be familiar with all the tools needed to deploy, integrate, and deliver efficiently with DevOps. Style and approach This book is primarily a technical guide to DevOps with practical examples suitable for people who like to learn by implementing concrete working code.

This book gives you the skills you need to use Python for penetration testing, with the help of detailed code examples. This book has been updated for Python 3.6.3 and Kali Linux 2018.1. About This Book ? Detect and avoid various attack types that put the privacy of a system at risk ? Leverage Python to build efficient code and eventually build a robust environment ? Learn about securing wireless applications and information gathering on a web server Who This Book Is For If you are a Python programmer, a security researcher, or an ethical hacker and are interested in penetration testing with the help of Python, then this book is for you. Even if you are new to the field of ethical hacking, this book can help you find the vulnerabilities in your system so that you are ready to tackle any kind of attack or intrusion. What You Will Learn ? The basics of network pentesting including network scanning and sniffing ? Wireless, wired attacks, and building traps for attack and torrent detection ? Web server footprinting and web application attacks, including the XSS and SQL injection attack ? Wireless frames and how to obtain information such as SSID, BSSID, and the channel number from a wireless frame using a Python script ? The importance of web server signatures, email gathering, and why knowing the server signature is the first step in hacking In Detail This book gives you the skills you need to use Python for penetration testing (pentesting), with the help of detailed code examples. We start by exploring the basics of networking with Python and then proceed to network hacking. Then, you will delve into exploring Python libraries to perform various types of pentesting and ethical hacking techniques. Next, we delve into hacking the application layer, where we start by gathering information from a website. We then move on to concepts related to website hacking—such as parameter tampering, DDoS, XSS, and SQL injection. By reading this book, you will learn different techniques and methodologies that will familiarize you with Python pentesting techniques, how to protect yourself, and how to create automated programs to find the admin console, SQL injection, and XSS attacks. Style and approach The book starts at a basic level and moves to a higher level of network and web security. The execution and performance of code are both taken into account.

Get to grips with modern software demands by learning the effective uses of Rust's powerful memory safety. About This Book ? Learn and improve the sequential performance characteristics of your software ? Understand the use of operating system processes in a high-scale concurrent system ? Learn of the various coordination methods available in the Standard library Who This Book Is For This book is aimed at software engineers with a basic understanding of Rust who want to exploit the parallel and concurrent nature of modern computing environments, safely. What You Will Learn ? Probe your programs for performance and accuracy issues ? Create your own threading and multi-processing environment in Rust ? Use coarse locks from Rust’s Standard library ? Solve common synchronization problems or avoid synchronization using atomic programming ? Build lock-free/wait-free structures in Rust and understand their implementations in the crates ecosystem ? Leverage Rust’s memory model and type system to build safety properties into your parallel programs ? Understand the new features of the Rust programming language to ease the writing of parallel programs In Detail Most programming languages can really complicate things, especially with regard to unsafe memory access. The burden on you, the programmer, lies across two domains: understanding the modern machine and your language's pain-points. This book will teach you to how to manage program performance on modern machines and build fast, memory-safe, and concurrent software in Rust. It starts with the fundamentals of Rust and discusses machine architecture concepts. You will be taken through ways to measure and improve the performance of Rust code systematically and how to write collections with confidence. You will learn about the Sync and Send traits applied to threads, and coordinate thread execution with locks, atomic primitives, data-parallelism, and more. The book will show you how to efficiently embed Rust in C++ code and explore the functionalities of various crates for multithreaded applications. It explores implementations in depth. You will know how a mutex works and build several yourself. You will master radically different approaches that exist in the ecosystem for structuring and managing high-scale systems. By the end of the book, you will feel comfortable with designing safe, consistent, parallel, and high-performance applications in Rust. Style and approach Readers will be taken through various ways to improve the performance of their Rust code.

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

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

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.

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