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Learn AWS Serverless Computing: A beginner's guide to using AWS Lambda, Amazon API Gateway, and services from Amazon Web Services
by Scott PattersonBuild, deploy, test, and run cloud-native serverless applications using AWS Lambda and other popular AWS services Key Features Learn how to write, run, and deploy serverless applications in Amazon Web Services Make the most of AWS Lambda functions to build scalable and cost-efficient systems Build and deploy serverless applications with Amazon API Gateway and AWS Lambda functions Book Description Serverless computing is a way to run your code without having to provision or manage servers. Amazon Web Services provides serverless services that you can use to build and deploy cloud-native applications. Starting with the basics of AWS Lambda, this book takes you through combining Lambda with other services from AWS, such as Amazon API Gateway, Amazon DynamoDB, and Amazon Step Functions. You'll learn how to write, run, and test Lambda functions using examples in Node.js, Java, Python, and C# before you move on to developing and deploying serverless APIs efficiently using the Serverless Framework. In the concluding chapters, you'll discover tips and best practices for leveraging Serverless Framework to increase your development productivity. By the end of this book, you'll have become well-versed in building, securing, and running serverless applications using Amazon API Gateway and AWS Lambda without having to manage any servers. What you will learn Understand the core concepts of serverless computing in AWS Create your own AWS Lambda functions and build serverless APIs using Amazon API Gateway Explore best practices for developing serverless applications at scale using Serverless Framework Discover the DevOps patterns in a modern CI/CD pipeline with AWS CodePipeline Build serverless data processing jobs to extract, transform, and load data Enforce resource tagging policies with continuous compliance and AWS Config Create chatbots with natural language understanding to perform automated tasks Who this book is for This AWS book is for cloud architects and developers who want to build and deploy serverless applications using AWS Lambda. A basic understanding of AWS is required to get the most out of this book.
Learn Active Directory Management in a Month of Lunches
by Richard SiddawaySummaryLearn Active Directory Management in a Month of Lunches is a practical, hands-on tutorial designed for IT pros new to Active Directory. It skips the theory and concentrates on the day-to-day administration tasks you need to know to keep your network running smoothly. Just set aside an hour a day for a month—lunchtime would be perfect—and you'll be comfortable and productive with Active Directory before you know it.About the BookAt the heart of your Windows network is Active Directory, the control center for administration, security, and other core management functions. If you're new to Active Directory administration—or if you find yourself unexpectedly thrust into that role—you'll need to get up to speed fast.Learn Active Directory Management in a Month of Lunches is a hands-on tutorial designed for IT pros new to Active Directory. Without assuming previous administration experience, the book starts by walking you through the most important day-to-day system management tasks. You'll learn how to administer AD both from the GUI tools built into Windows and by using PowerShell at the command line. Along the way, you'll touch on best practices for managing user access, setting group policies, automating backups, and more.This book assumes no prior experience with Active Directory or Windows administration. Examples are based in Windows Server 2012Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.What's InsideADM tasks you'll need every dayGUI and command line techniquesContent tested by new administratorsWell-illustrated, clearly explained examplesAbout the AuthorRichard Siddaway is an experienced all-around Windows administrator with two decades of experience. He's the author of PowerShell in Practice andPowerShell and WMI, and coauthor of PowerShell in Depth.Table of ContentsPART 1 MANAGING ACTIVE DIRECTORY DATABefore you beginCreating user accountsManaging user accountsManaging groupsTroubleshooting users and groupsManaging computer accountsManaging organizational unitsPART 2 MANAGING GROUP POLICYCreating Group PoliciesManaging Group PoliciesFine-grained password policiesPART 3 MANAGING THE ACTIVE DIRECTORY SERVICECreating domain controllersManaging domain controllersProtecting AD data Security: Default groups and delegationManaging DNSManaging sites and subnetsAD replicationManaging AD trustsPART 4 MAINTENANCE AND TROUBLESHOOTINGTroubleshooting your AD Maintaining and monitoring Active DirectoryFuture work and final examInto the cloud
Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
by Sebastien Donadio Sourav GhoshUnderstand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategies Key Features Understand the power of algorithmic trading in financial markets with real-world examples Get up and running with the algorithms used to carry out algorithmic trading Learn to build your own algorithmic trading robots which require no human intervention Book Description It's now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading. Relying on sophisticated trading signals, predictive models and strategies can make all the difference. This book will guide you through these aspects, giving you insights into how modern electronic trading markets and participants operate. You'll start with an introduction to algorithmic trading, along with setting up the environment required to perform the tasks in the book. You'll explore the key components of an algorithmic trading business and aspects you'll need to take into account before starting an automated trading project. Next, you'll focus on designing, building and operating the components required for developing a practical and profitable algorithmic trading business. Later, you'll learn how quantitative trading signals and strategies are developed, and also implement and analyze sophisticated trading strategies such as volatility strategies, economic release strategies, and statistical arbitrage. Finally, you'll create a trading bot from scratch using the algorithms built in the previous sections. By the end of this book, you'll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets. What you will learn Understand the components of modern algorithmic trading systems and strategies Apply machine learning in algorithmic trading signals and strategies using Python Build, visualize and analyze trading strategies based on mean reversion, trend, economic releases and more Quantify and build a risk management system for Python trading strategies Build a backtester to run simulated trading strategies for improving the performance of your trading bot Deploy and incorporate trading strategies in the live market to maintain and improve profitability Who this book is for This book is for software engineers, financial traders, data analysts, and entrepreneurs. Anyone who wants to get started with algorithmic trading and understand how it works; and learn the components of a trading system, protocols and algorithms required for black box and gray box trading, and techniques for building a completely automated and profitable trading business will also find this book useful.
Learn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists
by Julien Simon Francesco PochettiQuickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker's capabilities such as Amazon SageMaker Studio, Autopilot, Experiments, Debugger, and Model Monitor Key Features Build, train, and deploy machine learning models quickly using Amazon SageMaker Analyze, detect, and receive alerts relating to various business problems using machine learning algorithms and techniques Improve productivity by training and fine-tuning machine learning models in production Book Description Amazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker. You'll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you'll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You'll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you'll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy. By the end of this Amazon book, you'll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation. What you will learn Create and automate end-to-end machine learning workflows on Amazon Web Services (AWS) Become well-versed with data annotation and preparation techniques Use AutoML features to build and train machine learning models with AutoPilot Create models using built-in algorithms and frameworks and your own code Train computer vision and NLP models using real-world examples Cover training techniques for scaling, model optimization, model debugging, and cost optimization Automate deployment tasks in a variety of configurations using SDK and several automation tools Who this book is for This book is for software engineers, machine learning developers, data scientists, and AWS users who are new to using Amazon SageMaker and want to build high-quality machine learning models without worrying about infrastructure. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. Some understanding of machine learning concepts and the Python programming language will also be beneficial.
Learn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists, 2nd Edition
by Julien SimonSwiftly build and deploy machine learning models without managing infrastructure and boost productivity using the latest Amazon SageMaker capabilities such as Studio, Autopilot, Data Wrangler, Pipelines, and Feature StoreKey FeaturesBuild, train, and deploy machine learning models quickly using Amazon SageMakerOptimize the accuracy, cost, and fairness of your modelsCreate and automate end-to-end machine learning workflows on Amazon Web Services (AWS)Book DescriptionAmazon SageMaker enables you to quickly build, train, and deploy machine learning models at scale without managing any infrastructure. It helps you focus on the machine learning problem at hand and deploy high-quality models by eliminating the heavy lifting typically involved in each step of the ML process. This second edition will help data scientists and ML developers to explore new features such as SageMaker Data Wrangler, Pipelines, Clarify, Feature Store, and much more. You'll start by learning how to use various capabilities of SageMaker as a single toolset to solve ML challenges and progress to cover features such as AutoML, built-in algorithms and frameworks, and writing your own code and algorithms to build ML models. The book will then show you how to integrate Amazon SageMaker with popular deep learning libraries, such as TensorFlow and PyTorch, to extend the capabilities of existing models. You'll also see how automating your workflows can help you get to production faster with minimum effort and at a lower cost. Finally, you'll explore SageMaker Debugger and SageMaker Model Monitor to detect quality issues in training and production. By the end of this Amazon book, you'll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation.What you will learnBecome well-versed with data annotation and preparation techniquesUse AutoML features to build and train machine learning models with AutoPilotCreate models using built-in algorithms and frameworks and your own codeTrain computer vision and natural language processing (NLP) models using real-world examplesCover training techniques for scaling, model optimization, model debugging, and cost optimizationAutomate deployment tasks in a variety of configurations using SDK and several automation toolsWho this book is forThis book is for software engineers, machine learning developers, data scientists, and AWS users who are new to using Amazon SageMaker and want to build high-quality machine learning models without worrying about infrastructure. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. A solid understanding of machine learning concepts and the Python programming language will also be beneficial.
Learn Amazon Web Services in a Month of Lunches
by David ClintonSummaryLearn Amazon Web Services in a Month of Lunches guides you through the process of building a robust and secure web application using the core AWS services you really need to know. You'll be amazed by how much you can accomplish with AWS!Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyCloud computing has transformed the way we build and deliver software. With the Amazon Web Services cloud platform, you can trade expensive glass room hardware and custom infrastructure for virtual servers and easy-to-configure storage, security, and networking services. Better, because you don't own the hardware, you only pay for the computing power you need! Just learn a few key ideas and techniques and you can have applications up and running in AWS in minutes.About the BookLearn Amazon Web Services in a Month of Lunches gets you started with AWS fast. In just 21 bite-size lessons, you'll learn the concepts and practical techniques you need to deploy and manage applications. You'll learn by doing real-world labs that guide you from the core AWS tool set through setting up security and storage and planning for growth. You'll even deploy a public-facing application that's highly available, scalable, and load balanced. What's InsideFirst steps with AWS - no experience requiredDeploy web apps using EC2, RDS, S3, and Route 53Cheap and fast system backupsSetting up cloud automationAbout the ReaderIf you know your way around Windows or Linux and have a basic idea of how web applications work, you're ready to start using AWS. About the AuthorDavid Clinton is a system administrator, teacher, and writer. He has administered, written about, and created training materials for many important technology subjects including Linux systems, cloud computing (AWS in particular), and container technologies like Docker. Many of his video training courses can be found on Pluralsight.com, and links to his other books (on Linux administration and server virtualization) can be found at https://bootstrap-it.com.Table of ContentsBefore you beginPART 1 - THE CORE AWS TOOLSThe 10-minute EC2 web serverProvisioning a more robust EC2 websiteDatabases on AWSDNS: what’s in a name?S3: cheap, fast file storageS3: cheap, fast system backupsAWS security: working with IAM users, groups, and rolesManaging growthPushing back against the chaos: using resource tagsCloudWatch: monitoring AWS resources for fun and profitAnother way to play: the command-line interfacePART 2 - THE AWS POWER USER: OPTIMIZING YOUR INFRASTRUCTUREKeeping ahead of user demandHigh availability: working with AWS networking toolsHigh availability: load balancingHigh availability: auto scalingHigh availability: content-delivery networksPART 3 - FOOD FOR THOUGHT: WHAT ELSE CAN AWS DO FOR YOU?Building hybrid infrastructureCloud automation: working with Elastic Beanstalk, Docker, and LambdaEverything else (nearly)Never the end
Learn Android App Development
by Wallace JacksonLearn Android App Development is a hands-on tutorial and useful reference. You'll quickly get up to speed and master the Android SDK and the Java that you need for your Android Apps. The Android SDK offers powerful features, and this book is the fastest path to mastering them-and the rest of the Andorid SDK-for programmers with some experience who are new to Android smartphone and tablet apps development. Many books introduce the Android SDK, but very few explain how to develop apps optimally. This book teaches both core Java language concepts and how to wisely but rapidly employ the design patterns and logic using the Android SDK, which is based on Java APIs. You'll also learn best practices that ensure your code will be efficient and perform well. Get an accelerated but complete enough treatment of the fundamentals of Java necessary to get you started. Design your first app using prototyping and other design methods. Build your first Android app using the code given over the course of the book. Finally, debug and distribute your first app on Google Play or other Android app store. After reading this book, you'll have your first app ready and on the app store, earning you the prestige and the money you seek.
Learn Android Studio
by Adam Gerber Clifton CraigLearn Android Studio covers Android Studio and its rich tools ecosystem, including Git and Gradle: this book covers how Android Studio works seamlessly with Git, for source control, and Gradle, a build and test tool. In addition, this book demonstrates how to develop/collaborate with remote Git web-hosting services such as GitHub and Bitbucket. Four complete Android projects accompany this volume and are available for download from a public Git repository. With this book, you learn the latest and most productive tools in the Android tools ecosystem, and the best practices for Android app development. You will be able to take away the labs' code as templates or frameworks to re-use and customize for your own similar apps. Android Studio is an intuitive, feature-rich, and extremely forgiving Integrated Development Environment (IDE). This IDE is more productive and easier to use for your Android app creations than Eclipse. With this book you will quickly master Android Studio and maximize your Android development time. Source code on the remote web-hosting service is targeted to the latest Android Studio release, version 1. 2. What you'll learn How to get started with the Android Studio IDE How to navigate and use Android Studio How to do version control with Git How to use Gradle How to use the new Android Wear framework How to debug your code using Android Studio How to manage your app projects How to test your apps How to analyze and refactor your code How to customize Android Studio Who this book is for This book is for Android app developers new to this IDE tool. Table of Contents 1. Introducing Android Studio 2. Navigating 3. Programming 4. Refactoring 5. Reminders Lab: Part 1 6. Reminders Lab: Part 2 7. Git 8. Layouts 9. Currencies Lab: Part 1 10. Currencies Lab: Part 2 11. Testing and Analyzing 12. Debugging 13. Gradle 14. More SDK Tools 15. Wear 16. Customizing Android Studio
Learn Android Studio 3
by Ted HagosBuild Android apps using the popular and efficient Android Studio 3 suite of tools, an integrated development environment (IDE) for Android developers using Java APIs. With this book, you’ll learn the latest and most productive tools in the Android tools ecosystem, ensuring quick Android app development and minimal effort on your part. Along the way, you’ll use Android Studio to develop Java-based Android apps, tier by tier through practical examples. These examples cover core Android topics such as notifications and toast; intents and broadcast receivers; and services. Then, you’ll learn how to publish your apps and sell them online and in the Google Play store. What You'll LearnUse Android Studio 3 to quickly and confidently build your first Android appsBuild an Android user interface using activities and layouts, event handling, images, menus and the action barIncorporate new elements including fragmentsIntegrate data with data persistence Access the cloud Who This Book Is ForThose who may be new to Android Studio 3 or Android Studio in general. You may or may not be new to Android development in general. Some prior experience with Java is also recommended.
Learn Android Studio 3 with Kotlin: Efficient Android App Development
by Ted HagosBuild Android apps using the popular and efficient Android Studio 3 suite of tools, an integrated development environment (IDE) with which Android developers can now use the Kotlin programming language. With this book, you’ll learn the latest and most productive tools in the Android tools ecosystem, ensuring quick Android app development and minimal effort on your part. Along the way, you’ll use Android Studio to develop apps tier by tier through practical examples. These examples cover core Android topics such as Activities, Intents, BroadcastReceivers, Services and AsyncTask. Then, you’ll learn how to publish your apps and sell them online and in the Google Play store.What You’ll LearnUse Android Studio 3 to quickly and confidently build your first Android appsBuild an Android user interface using activities and layouts, event handling, images, menus and the action barIncorporate new elements including fragmentsLearn how data is persisted Use Kotlin to build appsWho This Book Is ForThose who may be new to Android Studio 3 or Android Studio in general. You may or may not be new to Android development in general. Some prior experience with Java is also recommended.
Learn Android Studio 4: Efficient Java-Based Android Apps Development
by Ted HagosBuild and deploy your Java-based Android apps using the popular and efficient Android Studio 4 suite of tools, an integrated development environment (IDE) for today's Android developers. With this book, you’ll learn the latest and most productive tools in the Android tools ecosystem, ensuring quick Android app development and minimal effort on your part. Among these tools, you'll use the new Android Studio 4 features, including an upgraded CPU profiler UI, a new build speed window, the multi-preview feature, and the live layout inspector. After reading and using this book, you'll be able to efficiently build complete Java-based Android apps that run on any Android smartphone, tablet, smart watch and more. You’ll also be able to publish those apps and sell them online and in the Google Play store. What You Will Learn Use Android Studio 4 to quickly and confidently build your first Android apps Build an Android user interface using activities and layouts, event handling, images, menus, and the action bar Work with new tools in Android Studio 4: Jetpack compose support, a smart editor for ProGuard rules, a new motion layout editor, a new Android Gradle plugin, and a fragment wizard with new fragment templates Integrate data with data persistence Access the cloud Who This Book Is For Those who may be new to Android Studio 4 or Android Studio in general. You may or may not be new to Android development. Some prior experience with Java is recommended.
Learn Angular: 4 Angular Projects
by Simon Holmes Manjunath M Ilya Bodrov-Krukowski Jeremy WilkenAngular is not just a framework, but rather a platform that empowers developers to build applications for the web, mobile, and the desktop. This book presents a collection of complete project tutorials: building a bucket-list MEAN stack app; user authentication with MEAN; building a Twitter client with Node and Angular; and connecting Angular and the WordPress API. Along the way, you'll learn how to use Angular and some of its best features. This book is for all front-end developers who want to get proficient with Angular and its related tools. You'll need to be familiar with HTML and CSS and have a reasonable level of understanding of JavaScript in order to follow the discussion.
Learn Angular: Build a Todo App
by Jurgen van de MoereAngular is not just a framework, but rather a platform that empowers developers to build applications for the web, mobile, and the desktop. This book contains a complete tutorial on building a todo app with Angular. Along the way, we'll learn about installation and setup, component architecture, adding a REST backend, routing, authentication, and much more. This book is for all front-end developers who want to become proficient with Angular and its related tools. You'll need to be familiar with HTML and CSS and have a reasonable level of understanding of JavaScript in order to follow the discussion.
Learn Angular: Related Tool & Skills
by Jeff Smith Michael Wanyoike Ilya Bodrov-Krukowski Jurgen van de Moere Florian Rappl Todd MottoAngular is not just a framework, but rather a platform that empowers developers to build applications for the web, mobile, and the desktop. This book provides an overview of some essential Angular tools--such as Angular CLI, Angular Augary, and Sublime Text--as well as outlining some must-have TypeScript tips. This book is for all front-end developers who want to become proficient with Angular and its related tools. You'll need to be familiar with HTML and CSS and have a reasonable level of understanding of JavaScript in order to follow the discussion.
Learn Angular: Your First Week
by Michael Wanyoike Manjunath M Byron Houwens Ilya Bodrov-Krukowski Jason Aden Claudio Ribeiro Kaloyan Kolev Jeremy Wilken Vildan Softic David AdenAngular is not just a framework, but rather a platform that empowers developers to build applications for the web, mobile, and the desktop. This book contains a collection of articles that provide a rapid introduction to Angular, getting you up and running with no fuss. It contains: Angular Introduction: What It Is, and Why You Should Use It by Ilya Bodrov-KrukowskiAngularJS and Angular: a Detailed Comparison by Manjunath MAn Introduction to TypeScript: Static Typing for the Web by Byron HouwensGetting Past Hello World in Angular by Jason AdenAngular Components: Inputs and Outputs by David AdenA Practical Guide to Angular Directives by Claudio RibeiroAngular Components and Providers: Classes, Factories and Values by David AdenQuickly Create Simple Yet Powerful Angular Forms by Kaloyan KolevUsing Angular NgModules for Reusable Code and More by Jeremy WilkenAngular Testing: A Developer's Introduction by Michael WanyoikeCreating UIs with Angular Material Design Components by Ahmed BouchefraDeveloping Angular Apps without a Back End Using MockBackend by Vildan SofticReact vs Angular: An In-depth Comparison by Pavels Jelisejevs This book is for all front-end developers who want to get proficient with Angular and its related tools. You'll need to be familiar with HTML and CSS and have a reasonable level of understanding of JavaScript in order to follow the discussion.
Learn Ansible: Automate cloud, security, and network infrastructure using Ansible 2.x
by Russ McKendrickRun Ansible playbooks to launch complex multi-tier applications hosted in public cloudsKey FeaturesBuild your learning curve using AnsibleAutomate cloud, network, and security infrastructures with easeGain hands-on exposure on AnsibleBook DescriptionAnsible 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.What you will learnWrite your own playbooks to configure servers running CentOS, Ubuntu, and WindowsIdentify repeatable tasks and write playbooks to automate themDefine a highly available public cloud infrastructure in code, making it easy to distribute your infrastructure configurationDeploy and configure Ansible Tower and Ansible AWXLearn to use community contributed rolesUse Ansible in your day-to-day role and projectsWho this book is forLearn 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.
Learn Apache Mesos: A beginner’s guide to scalable cluster management and deployment
by Manuj AggarwalScale applications with high availability and optimized resource management across data centersKey FeaturesCreate clusters and perform scheduling, logging, and resource administration with MesosExplore practical examples of managing complex clusters at scale with real-world dataWrite native Mesos frameworks with PythonBook DescriptionApache Mesos is an open source cluster manager that provides efficient resource isolation and sharing across distributed applications or frameworks. This book will help you build a strong foundation of Mesos' capabilities along with practical examples to support the concepts explained throughout the book.Learn Apache Mesos dives straight into how Mesos works. You will be introduced to the distributed system and its challenges and then learn how you can use Mesos and its framework to solve data problems. You will also gain a full understanding of Mesos' internal mechanisms and get equipped to use Mesos and develop applications. Furthermore, this book lets you explore all the steps required to create highly available clusters and build your own Mesos frameworks. You will also cover application deployment and monitoring.By the end of this book, you will have learned how to use Mesos to make full use of machines and how to simplify data center maintenance.What you will learnDeploy and monitor a Mesos clusterSet up servers on AWS to deploy Mesos componentsExplore Mesos resource scheduling and the allocation moduleDeploy Docker-based services and applications using Mesos MarathonConfigure and use SSL to protect crucial endpoints of your Mesos clusterDebug and troubleshoot services and workloads on a Mesos clusterWho this book is forThis book is for DevOps and data engineers and administrators who work with large data clusters. You’ll also find this book useful if you have experience working with virtualization, databases, and platforms such as Hadoop and Spark. Some experience in database administration and design will help you get the most out of this book.
Learn Arduino Prototyping in 10 days
by Kallol Bosu ChoudhuriThe ultimate power-packed crash course in building Arduino-based projects in just 10 days! About This Book • A carefully designed 10-day crash course, covering major project/device types, with 20+ unique hands-on examples • Get easy-to-understand explanations of basic electronics fundamentals and commonly used C sketch functions • This step-by-step guide with 90+ diagrams and 50+ important tips will help you become completely self-reliant and confident Who This Book Is For This book is a beginner's crash course for professionals, hobbyists, and students who are tech savvy, have a basic level of C programming knowledge, and basic familiarity with electronics, be it for embedded systems or the Internet of Things. What You Will Learn • Write Arduino sketches and understand the fundamentals of building prototype circuits using basic electronic components, such as resistors, transistors, and diodes • Build simple, compound, and standalone devices with auxiliary storage (SD card), a DC battery, and AC power supplies • Deal with basic sensors and interface sensor modules by using sensor datasheets • Discover the fundamental techniques of prototyping with actuators • Build remote-controlled devices with infrared (IR), radio frequency (RF), and telephony with GSM • Learn IoT edge device prototyping (using ESP8266) and IoT cloud configuration In Detail This book is a quick, 10-day crash course that will help you become well acquainted with the Arduino platform. The primary focus is to empower you to use the Arduino platform by applying basic fundamental principles. You will be able to apply these principles to build almost any type of physical device. The projects you will work through in this book are self-contained micro-controller projects, interfacing with single peripheral devices (such as sensors), building compound devices (multiple devices in a single setup), prototyping standalone devices (powered from independent power sources), working with actuators (such as DC motors), interfacing with an AC-powered device, wireless devices (with Infrared, Radio Frequency and GSM techniques), and finally implementing the Internet of Things (using the ESP8266 series Wi-Fi chip with an IoT cloud platform). The first half of the book focuses on fundamental techniques and building basic types of device, and the final few chapters will show you how to prototype wireless devices. By the end of this book, you will have become acquainted with the fundamental principles in a pragmatic and scientific manner. You will also be confident enough to take up new device prototyping challenges. Style and approach This step-by- step guide will serve as a quick, 10-day crash course to help you become well acquainted with the Arduino platform.
Learn Autodesk Inventor 2018 Basics: 3D Modeling, 2D Graphics, and Assembly Design
by T. KishoreGet started with the basics of part modeling, assembly modeling, presentations, and drawings in this step-by-step tutorial on Autodesk Inventor fundamentals. Next, this book teaches you some intermediate-level topics such as additional part modeling tools, sheet metal modeling, top-down assembly features, assembly joints, and dimension and annotations. Engaging explanations, practical examples, and step-by-step instructions make this tutorial book complete. Once you have read Learn Autodesk Inventor 2018 Basics you will be able to use Autodesk Inventor for 3D modeling, 2D drawings, finite element analysis, mold design, and other purposes, just like a design professional. You will gain all the basic information and essential skills you need to work in Autodesk Inventor immediately. What You'll Learn Carry out virtual 3D modeling for your next 3D printing projects Design molds for 3D printing and other projects Generate 2D drawings Who This Book Is For Novice users of Autodesk Inventor.
Learn Azure Administration: Solve your cloud administration issues relating to networking, storage, and identity management speedily and efficiently
by Kamil MrzyglodEnhance your Azure administration and Azure DevOps skills and get up and running with networking, security, automation, and effective cost managementKey FeaturesExplore a variety of administration patterns used for different cloud architecturesDiscover best practices for administering various IT systems hosted in AzureAdminister, automate, and manage your Azure cloud environment effectivelyBook DescriptionMicrosoft Azure is one of the upcoming cloud platforms that provide cost-effective solutions and services to help businesses overcome complex infrastructure-related challenges. This book will help you scale your cloud administration skills with Microsoft Azure.Learn Azure Administration starts with an introduction to the management of Azure subscriptions, and then takes you through Azure resource management. Next, you'll configure and manage virtual networks and find out how to integrate them with a set of Azure services. You'll then handle the identity and security for users with the help of Azure Active Directory, and manage access from a single place using policies and defined roles. As you advance, you'll get to grips with receipts to manage a virtual machine. The next set of chapters will teach you how to solve advanced problems such as DDoS protection, load balancing, and networking for containers. You'll also learn how to set up file servers, along with managing and storing backups. Later, you'll review monitoring solutions and backup plans for a host of services. The last set of chapters will help you to integrate different services with Azure Event Grid, Azure Automation, and Azure Logic Apps, and teach you how to manage Azure DevOps.By the end of this Azure book, you'll be proficient enough to easily administer your Azure-based cloud environment.What you will learnExplore different Azure services and understand the correlation between themSecure and integrate different Azure componentsWork with a variety of identity and access management (IAM) modelsFind out how to set up monitoring and logging solutionsBuild a complete skill set of Azure administration activities with Azure DevOpsDiscover efficient scaling patterns for small and large workloadsWho this book is forThis book is for cloud administrators, system administrators, and IT professionals who want to scale up their skillset and enter the world of cloud computing. IT professionals and engineers who are already familiar with the basics of the Azure services and are looking for a step-by-step guide to solving the most common Azure problems will also find this book useful. Basic understanding of cloud concepts such as IaaS, PaaS, virtualization, networking, and common Azure services is required.
Learn Azure Sentinel: Integrate Azure security with artificial intelligence to build secure cloud systems
by Richard Diver Gary Bushey Jason S. RaderUnderstand how to set up, configure, and use Azure Sentinel to provide security incident and event management services for your environment Key Features Secure your network, infrastructure, data, and applications on Microsoft Azure effectively Integrate artificial intelligence, threat analysis, and automation for optimal security solutions Investigate possible security breaches and gather forensic evidence to prevent modern cyber threats Book Description Azure Sentinel is a Security Information and Event Management (SIEM) tool developed by Microsoft to integrate cloud security and artificial intelligence (AI). Azure Sentinel not only helps clients identify security issues in their environment, but also uses automation to help resolve these issues. With this book, you'll implement Azure Sentinel and understand how it can help find security incidents in your environment with integrated artificial intelligence, threat analysis, and built-in and community-driven logic. This book starts with an introduction to Azure Sentinel and Log Analytics. You'll get to grips with data collection and management, before learning how to create effective Azure Sentinel queries to detect anomalous behaviors and patterns of activity. As you make progress, you'll understand how to develop solutions that automate the responses required to handle security incidents. Finally, you'll grasp the latest developments in security, discover techniques to enhance your cloud security architecture, and explore how you can contribute to the security community. By the end of this book, you'll have learned how to implement Azure Sentinel to fit your needs and be able to protect your environment from cyber threats and other security issues. What you will learn Understand how to design and build a security operations center Discover the key components of a cloud security architecture Manage and investigate Azure Sentinel incidents Use playbooks to automate incident responses Understand how to set up Azure Monitor Log Analytics and Azure Sentinel Ingest data into Azure Sentinel from the cloud and on-premises devices Perform threat hunting in Azure Sentinel Who this book is for This book is for solution architects and system administrators who are responsible for implementing new solutions in their infrastructure. Security analysts who need to monitor and provide immediate security solutions or threat hunters looking to learn how to use Azure Sentinel to investigate possible security breaches and gather forensic evidence will also benefit from this book. Prior experience with cloud security, particularly Azure, is necessary.
Learn Azure Synapse Data Explorer: A guide to building real-time analytics solutions to unlock log and telemetry data
by Pericles (Peri) RochaA hands-on guide to working on use cases helping you ingest, analyze, and serve insightful data from IoT as well as telemetry data sources using Azure Synapse Data ExplorerFree PDF included with this bookKey FeaturesAugment advanced analytics projects with your IoT and application dataExpand your existing Azure Synapse environments with unstructured dataBuild industry-level projects on integration, experimentation, and dashboarding with Azure SynapseBook DescriptionLarge volumes of data are generated daily from applications, websites, IoT devices, and other free-text, semi-structured data sources. Azure Synapse Data Explorer helps you collect, store, and analyze such data, and work with other analytical engines, such as Apache Spark, to develop advanced data science projects and maximize the value you extract from data.This book offers a comprehensive view of Azure Synapse Data Explorer, exploring not only the core scenarios of Data Explorer but also how it integrates within Azure Synapse. From data ingestion to data visualization and advanced analytics, you'll learn to take an end-to-end approach to maximize the value of unstructured data and drive powerful insights using data science capabilities. With real-world usage scenarios, you'll discover how to identify key projects where Azure Synapse Data Explorer can help you achieve your business goals. Throughout the chapters, you'll also find out how to manage big data as part of a software as a service (SaaS) platform, as well as tune, secure, and serve data to end users.By the end of this book, you'll have mastered the big data life cycle and you'll be able to implement advanced analytical scenarios from raw telemetry and log data.What you will learnIntegrate Data Explorer pools with all other Azure Synapse servicesCreate Data Explorer pools with Azure Synapse Studio and Azure PortalIngest, analyze, and serve data to users using Azure Synapse pipelinesIntegrate Power BI and visualize data with Synapse StudioConfigure Azure Machine Learning integration in Azure SynapseManage cost and troubleshoot Data Explorer pools in Synapse AnalyticsSecure Synapse workspaces and grant access to Data Explorer poolsWho this book is forIf you are a data engineer, data analyst, or business analyst working with unstructured data and looking to learn how to maximize the value of such data, this book is for you. If you already have experience working with Azure Synapse and want to incorporate unstructured data into your data science project, you'll also find plenty of useful information in this book. To maximize your learning experience, familiarity with data and performing simple queries using SQL or KQL is recommended. Basic knowledge of Python will help you get more from the examples.
Learn Azure in a Month of Lunches
by Iain FouldsLearn Azure in a Month of Lunches, Second Edition, is a tutorial on writing, deploying, and running applications in Azure. In it, you&’ll work through 21 short lessons that give you real-world experience. Each lesson includes a hands-on lab so you can try out and lock in your new skills.Summary You can be incredibly productive with Azure without mastering every feature, function, and service. Learn Azure in a Month of Lunches, Second Edition gets you up and running quickly, teaching you the most important concepts and tasks in 21 practical bite-sized lessons. As you explore the examples, exercises, and labs, you'll pick up valuable skills immediately and take your first steps to Azure mastery! This fully revised new edition covers core changes to the Azure UI, new Azure features, Azure containers, and the upgraded Azure Kubernetes Service. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Microsoft Azure is vast and powerful, offering virtual servers, application templates, and prebuilt services for everything from data storage to AI. To navigate it all, you need a trustworthy guide. In this book, Microsoft engineer and Azure trainer Iain Foulds focuses on core skills for creating cloud-based applications. About the book Learn Azure in a Month of Lunches, Second Edition, is a tutorial on writing, deploying, and running applications in Azure. In it, you&’ll work through 21 short lessons that give you real-world experience. Each lesson includes a hands-on lab so you can try out and lock in your new skills. What's inside Understanding Azure beyond point-and-click Securing applications and data Automating your environment Azure services for machine learning, containers, and more About the reader This book is for readers who can write and deploy simple web or client/server applications. About the author Iain Foulds is an engineer and senior content developer with Microsoft. Table of Contents PART 1 - AZURE CORE SERVICES 1 Before you begin 2 Creating a virtual machine 3 Azure Web Apps 4 Introduction to Azure Storage 5 Azure Networking basics PART 2 - HIGH AVAILABILITY AND SCALE 6 Azure Resource Manager 7 High availability and redundancy 8 Load-balancing applications 9 Applications that scale 10 Global databases with Cosmos DB 11 Managing network traffic and routing 12 Monitoring and troubleshooting PART 3 - SECURE BY DEFAULT 13 Backup, recovery, and replication 14 Data encryption 15 Securing information with Azure Key Vault 16 Azure Security Center and updates PART 4 - THE COOL STUFF 17 Machine learning and artificial intelligence 18 Azure Automation 19 Azure containers 20 Azure and the Internet of Things 21 Serverless computing
Learn Bitcoin and Blockchain: Understanding blockchain and Bitcoin architecture to build decentralized applications
by Kirankalyan KulkarniGet up and running with the fundamentals of Bitcoin and blockchainKey FeaturesLearn quick, effective, and easy ways to master blockchain and Bitcoin Understand the impact of decentralization and discover ways to tackle it Explore the future of Bitcoin and blockchain and implement them in a business networkBook DescriptionBlockchain is a distributed database that enables permanent, transparent, and secure storage of data. Blockchain technology uses cryptography to keep data secure. Learn Bitcoin and Blockchain is the perfect entry point to the world of decentralized databases.This book will take you on a journey through the blockchain database, followed by advanced implementations of the blockchain concept. You will learn about Bitcoin basics and their technical operations. As you make your way through the book, you will gain insight into this leading technology and its implementation in the real world. You will also cover the technical foundation of blockchain and understand the fundamentals of cryptography and how they keep data secure. In the concluding chapters, you’ll get to grips with the mechanisms behind cryptocurrencies.By the end of this book, you will have learned about decentralized digital money, advanced blockchain concepts, and Bitcoin and blockchain security.What you will learnUnderstand the concept of decentralization, its impact, its relationship with blockchain technology and its pros and consLearn blockchain and Bitcoin architectures and securityExplore Bitcoin and blockchain securityImplement blockchain technology and its features commerciallyUnderstand why consensus protocols are critical in blockchainGet a grip on the future of blockchainWho this book is forLearn Bitcoin and Blockchain is for anyone who wants to quickly understand and expand their knowledge of how blockchain and Bitcoin work and how they are applied commercially. No prior knowledge of blockchain and Bitcoin is required.
Learn BlackBerry 10 App Development: A Cascades-Driven Approach
by Anwar LudinLearn how to leverage the BlackBerry 10 Cascades framework to create rich native applications. Learn BlackBerry 10 App Development gives you a solid foundation for creating BlackBerry 10 apps efficiently. Along the way, you will learn how to use QML and JavaScript for designing your app's UI, and C++/Qt for the application logic. No prior knowledge of C++ is assumed and the book covers the fundamental aspects of the language for writing BlackBerry 10 apps. Also a particular emphasis is put on how to create a visually enticing user experience with the Cascades framework, which is based on Qt and QML. Starting with the native SDK configuration and an overview of the Momentics IDE, the book is fast-paced and you will rapidly learn many of the best practices and techniques required for developing beautiful BlackBerry 10 apps. Learn BlackBerry 10 App Development is written for developers wishing to learn how to write apps for the new BlackBerry 10 OS and those interested in porting existing iOS and Android apps to BlackBerry 10 as native applications. What you'll learn * How to design and create native BB10 applications using the declarative expressiveness of QML * How to master the Cascades framework and the core BB10 UI components * How to use C++ and Qt efficiently with Cascades * How to utilize the BlackBerry Momentics IDE to launch and debug your applications * How to apply the fundamental aspects and best practices of BB10 application design * How to use HTTP networking in order to leverage remote services * How to integrate your application with BlackBerry 10 core apps such as the Contacts and Calendar apps * How to send email and short text messages from your app * How to use your device's camera and sensors such as the accelerometer and gyroscope Who this book is for BlackBerry developers wishing to write native BB10 applications, game developers. iOS and Android developers wishing to port their apps to BB 10. Table of Contents Getting Started QML & JavaScript C++, Qt and Cascades Controls Application Structure ListView and DataModel HTTP Networking Personal Information Management APIs Sensors Invocation Framework Device File System