Bøger udgivet af APress

Learn, develop and hone your Linux and DevOps skills by building a lab for learning, testing and exploring the latest Linux and open-source technologies. This book helps Linux users and others to master modern DevOps practices using a wide range of software and tools.Having a home or work-based Linux lab is indispensable to anyone looking to experiment with the ever-evolving landscape of new software and DevOps. With open-source tools and readily available hardware, you will end up with a lab you can use to try virtually any modern software, including Chef, Docker, Kubernetes and stalwarts like DNS, Dovecot, and Postfix for email. You'll  set up pipelines for software deployment and focus on discrete projects that help you learn through doing. In the end, you'll acquire the skills needed to become better informed, more marketable engineers and developers, and better able to take on a wide array of software projects with confidence.Practical Linux DevOps is the perfect companion for those who want to learn how to build systems with utility and learn about modern hardware and software practices.What You'll LearnSet up a Linux-based virtualization environment and workstationCreate a lab network with a fully qualified domainBuild web-based applications with NGINX and LAMPUse version-control tools like GitAutomate deployments and configurationsThink like a modern DevOps engineerWho This Book Is ForNew and modestly experienced users with basic understanding of a basic understanding of Windows or Linux command line, as well as would-be and current DevOps engineers, and full-stack and other software developers

Leverage the power of Eleventy to quickly produce static sites that are efficient and fast. This project-oriented book simplifies the process of setting up Eleventy and manipulating content, using little more than a text editor or free software. It will equip you with a starting tool set that you can use to develop future projects or incorporate into your existing workflow. More importantly, you'll take websites to the next level, reducing the reliance on tools that are bloated, prone to being hacked and not the most efficient. Beginning Eleventy is an excellent resource for getting acquainted with creating and manipulating blogs using a static site generator approach. It takes the view that you don't have to create something complex and unwieldy; you can build something quickly, then extend it using the power of the API and plugins over time, without sacrificing speed or features.What You'll Learn:Implement the Eleventy framework in a projectExplore some of the options for customizing content using the frameworkGain an appreciation of pointers around maintenance requirements, and how this might compare to other blog systemsWork through some example projects, to help build up a working blog from standalone demos to implementing with other tools or libraries This Book Is For?Website developers who are already familiar with JavaScript, who are looking for a fast and simple framework to deliver high quality results fastDevelopers who are looking to leverage the Eleventy framework to quickly create an online blog using little more than a text editor, producing optimized content in modern browsers using tools they will already haveThose in agile development teams, where time is of the essence and need to deliver high quality results quickly

Learn the essential design and deployment skills to utilize Azure VMware Solution to seamlessly move your VMware-based workloads from your datacenter to Azure and to integrate your VMware environment with Azure.  This book will teach you how to manage your existing environments with the same VMware products you already know while modernizing your applications with Azure native services.Design and Deploy Azure VMware Solutions starts by reviewing Azure VMware essentials, followed by a walkthrough of the methods of preparing and expanding to Azure VMware Solution. Here, you will learn about the layers of Microsoft AVS, including the vSphere, vSAN, NSX-T, and assess and migrate on-prem VMware workloads to Azure VMware Solution using HCX. Further, you will understand how to deploy the desktop and learn Hosting Pool using Horizon on Microsoft Azure, a modern approach to managing and securing Horizon components. VMware Tanzu for modernizing applications in Azure and disaster recovery for VMware workloads in Azure is then discussed in detail. Finally, you will learn monitoring and operations management using the VMware vRealize Suite and see a demonstration of how to plan and deploy Infrastructure as a Service (IaaS) for Azure VMware Solution via vRealize Automation.After reading the book, you will be able to migrate or extend VMware workloads from on-premises to Azure without the need to re-architect applications or retool operations.What Will You LearnGet started with Azure VMware SolutionPrepare and plan to utilize Azure VMware SolutionDesign and deploy Azure VMware SolutionManage and secure Azure VMware SolutionWho Is This Book For  Azure VMware administrators and Azure Cloud Architects.

This book shows you how to use social media analytics to optimize your business performance. The tools discussed will prepare you to create and implement an effective digital marketing strategy. From understanding the data and its sources to detailed metrics, dashboards, and reports, this book is a robust tool for anyone seeking a tangible return on investment from social media and digital marketing. Social Media Analytics Strategy speaks to marketers who do not have a technical background and creates a bridge into the digital world. Comparable books are either too technical for marketers (aimed at software developers) or too basic and do not take strategy into account. They also lack an overview of the entire process around using analytics within a company project. They don't go into the everyday details and also don't touch upon common mistakes made by marketers. This book highlights patterns of common challenges experienced by marketers from entry level to directors and C-level executives. Social media analytics are explored and explained using real-world examples and interviews with experienced professionals and founders of social media analytics companies.         What You'll Learn Get a clear view of the available data for social media marketing and how to access all of itMake use of data and information behind social media networks to your favorKnow the details of social media analytics tools and platforms so you can use any tool in the marketApply social media analytics to many different real-world use casesObtain tips from interviews with professional marketers and founders of social media analytics platformsUnderstand where social media is heading, and what to expect in the future Who This Book Is For Marketing professionals, social media marketing specialists, analysts up to directors and C-level executives, marketing students, and teachers of social media analytics/social media marketing

Here is your perfect companion for learning about and developing React applications. This book introduces concepts innovatively, using real-world examples based on the most recommended practices to help you establish a firm foundation. This comprehensive approach provides a strong focus on building components by using React hooks. You'll begin by learning web fundamentals, next-generation JavaScript, and how React fits into this. In the chapters that follow, you'll build a React application from scratch and learn about JSX, components, props, state management, prop drilling, context, and lifecycle events. Along the way you'll build a multi-component app and see how the components interact. Debugging and styling React applications are also discussed. You'll then take an in depth look at React hooks and see how to create a custom hook. There is also a penultimate chapter that explores important concepts such as routing and authentication. The book concludes with a review of some exciting features in the upcoming release of React 18. After reading Just React you will be equipped with the skills necessary to build complex web and mobile user interfaces using this flexible JavaScript library.What You'll LearnExamine the details of modern React concepts through example projectsSet up your own React projectDebug and style React componentsTake a look at routing, authentication, HTTP requests, Redux, and the new features of React 18 Who This Book Is For Web developers, React developers, and JavaScript developers 

The microservice architecture has been adopted by many developer teams around the world. To be successful, it's crucial that you understand how to program a microservice and get it running in the cloud. This book will walk you through the process of how to build, test, and deploy a Java-based Micronaut microservice to the Oracle Cloud with GitHub Actions. You'll learn how to create a Virtual Machine (with both the Oracle Cloud Infrastructure (OCI) CLI and the OCI Gradle Plugin), as well as create and deploy the microservice as a Docker container that can be stored in Oracle Container Infrastructure Registry (OCIR) and deployed to an Oracle Kubernetes Engine (OKE) cluster. The microservice will use Micronaut Data for persistence, Testcontainers for testing, and Liquibase to manage your Oracle DB production schema.After reading or using this book, you'll be able to build, test and deploy your first microservices using the Micronaut framework, Oracle Cloud and more.What You'll LearnBuild and deploy Java-based microservices using Micronaut and Oracle CloudRun tests and publishing reportsDeploy to Oracle Cloud using OCI CLI and the OCI Gradle plug-inAdd a persistence tier to the microserviceDistribute a microservice with persistenceWho This Book Is ForProgrammers and software developers with experience in Java and microservices programming who are new to Micronaut.

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python.  This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting, buffering, merging, dissolving, and erasing, with implementations in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and presents interpolation, classification, regression, and clustering via examples and use cases. This book is your go-to resource for machine learning on geodata. It presents the basics of working with spatial data and advanced applications. Examples are presented using code (accessible at  github.com/Apress/machine-learning-geographic-data-python) and facilitate learning by application.What You Will LearnUnderstand the fundamental concepts of working with geodataWork with multiple geographical data types and file formats in PythonCreate maps in PythonApply machine learning on geographical data Who This Book Is ForReaders with a basic understanding of machine learning who wish to extend their skill set to analysis of and machine learning on spatial data while remaining in a common data science Python environment

To succeed, teams must assure the quality of IoT systems. The world of technology continually moves from one hot area to another; this book considers the next explosion-of IoT-from a quality testing viewpoint. You'll first gain an introduction to the Internet of Things (IoT), V&V, and testing. Next, you'll be walked through IoT test planning and strategy over the full life cycle, including the impact of data analytics and AI. You will then delve deeper into IoT security testing and various test techniques, patterns, and more. This is followed by a detailed study of IoT software test labs, architecture, environments and AI. There are many options for testing IoT qualities based on the criticality of the software and risks involved; each option has positives, negatives, as well as cost and schedule impacts. The book will guide start-up and experienced teams into these paths and help you to improve the testing and quality assessment of IoT systems. What You Will LearnUnderstand IoT software test architecture and planningMaster IoT security testing and test techniquesStudy IoT test lab automation and architecturesReview the need for IoT security, data analytics, AI, Neural Networks and dependability using testing and V&V Who This Book Is ForReaders with basic knowledge of software development who want to learn more about IoT testing and its intricacies, as well as companies moving into the domain of IoT, and even those already deep into the IoT domain will benefit from this book.

Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch.The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augmentation, and other regularization techniques used in the industry. And then it gives you a quick overview of the PyTorch libraries used in the book. After that, it takes you through the implementation of image classification problems, object detection techniques, and transfer learning while training and running inference. The book covers image segmentation and an anomaly detection model. And it discusses the fundamentals of video processing for computer vision tasks putting images into videos. The book concludes with an explanation of the complete model building process for deep learning frameworks using optimized techniques with highlights on model AI explainability.After reading this book, you will be able to build your own computer vision projects using transfer learning and PyTorch.What You Will LearnSolve problems in computer vision with PyTorch.Implement transfer learning and perform image classification, object detection, image segmentation, and other computer vision applicationsDesign and develop production-grade computer vision projects for real-world industry problemsInterpret computer vision models and solve business problemsWho This Book Is ForData scientists and machine learning engineers interested in building computer vision projects and solving business problems

Welcome to your hands-on guide to artificial intelligence for IT operations (AIOps). This book provides in-depth coverage, including operations and technical aspects. The fundamentals of machine learning (ML) and artificial intelligence (AI) that form the core of AIOps are explained as well as the implementation of multiple AIOps uses cases using ML algorithms.The book begins with an overview of AIOps, covering its relevance and benefits in the current IT operations landscape. The authors discuss the evolution of AIOps, its architecture, technologies, AIOps challenges, and various practical use cases to efficiently implement AIOps and continuously improve it. The book provides detailed guidance on the role of AIOps in site reliability engineering (SRE) and DevOps models and explains how AIOps enables key SRE principles. The book provides ready-to-use best practices for implementing AIOps in an enterprise. Each component of AIOps and ML using Python code and templates is explained and shows how ML can be used to deliver AIOps use cases for IT operations.What You Will Learn Know what AIOps is and the technologies involved Understand AIOps relevance through use cases Understand AIOps enablement in SRE and DevOps Understand AI and ML technologies and algorithmsUse algorithms to implement AIOps use casesUse best practices and processes to set up AIOps practices in an enterprise Know the fundamentals of ML and deep learning Study a hands-on use case on de-duplication in AIOps Use regression techniques for automated baseliningUse anomaly detection techniques in AIOps Who This Book is ForAIOps enthusiasts, monitoring and management consultants, observability engineers, site reliability engineers, infrastructure architects, cloud monitoring consultants, service management experts, DevOps architects, DevOps engineers, and DevSecOps experts

Learn how you can take complete control and run your small business with powerful, free open source software (FOSS). This book introduces small business owners to the power and security of Linux and other FOSS tools to manage any small business as well as the many advantages it has over expensive, proprietary software. While exploring the reasons for using Free Open Source Software, you'll investigate the assertion that, "e;The value of any software lies in its usefulness not in its price,"e; set forth by Linux Torvalds, the creator of Linux. This book examines the use of Linux and also the other Free Open Source Software you need to meet your business challenges including the usual accounting, Email, web browsing, word-processing tasks. You will be introduced to advanced tools such as those that enable you to create audio and video clips you can use to promote your business or that can even be your primary product, such as how-to instruction.Most small business owners perform many tasks including that of administering their computers. This book shows you how to find and install new software you need to run your business and keep it up to date using the tools already provided by Linux and the secure, trusted repositories available online. It also explores how to decide which tasks to do in-house and which you might want to sub out to external resources such as advertising and contact services to attract and keep customers. Linux for Small Business Owners provides some logic, reason, and explanation for each of the steps that are needed and the tools used to implement Linux in your small business. It is a detailed guide to removing Windows from your computers and installing Linux and some commonly used open source software like the LibreOffice suite of programs, accounting, and other software useful to many small businesses. It also provides the information and tools necessary to manage and maintain Linux and applications up-to-date and secure.What You'll LearnUnderstand what the term "e;free/open source"e; means and how you can apply it to your business.Look at the operational and financial advantages of using Free Open Source Software instead of expensive, proprietary software.See why you will never need to pay for anti-virus and anti-malware software again.Replace expensive software like Microsoft Office with open source tools such as LibreOffice Review the factors required to make an informed decision about switching to Linux.Install new applications, updates to Linux, and the application software.Explore why backups are critical, how to create them, and how to use them to restore lost data.Who This Book Is ForIdeal for small business owners and owner-operated small businesses looking to streamline operations, save money, time and energy managing the common problems associated with using more popular operating systems.

Learn Azure-based features to build and deploy Java applications on Microsoft's Azure cloud platform. This book provides examples of components on Azure that are of special interest to Java programmers, including the different deployment models that are available. The book shows how to deploy your Java applications in Azure WebApp, Azure Kubernetes Service, Azure Functions, and Azure Spring Cloud. Also covered is integration with components such as Graph API, Azure Storage, Azure Redis Cache, and Azure SQL. The book begins with a brief discussion of cloud computing and an introduction to Java support on Azure. You'll then learn how to deploy Java applications using each of the deployment models, and you'll see examples of integrating with Azure services that are of particular interest to Java programmers. Security is an important aspect, and this book shows you how to enable authentication and authorization for your Java applications using Azure Active Directory. Implementing a DevOps strategy is essential in today's market when building any application. Examples in this book show you how to build continuous integration and continuous deployment pipelines to build and deploy Java applications on Azure. The book focuses on the best practices you should follow while designing and implementing Java applications on Azure. The book also elaborates on monitoring and debugging Java applications running on Azure using Application Insights and Azure Monitor.  What You Will LearnDesign and build Azure-based Java applicationsRun Azure-based Java applications on services such as Azure App Services, Azure Spring Cloud, Azure Functions, and Azure Kubernetes ServiceIntegrate Azure services such as Azure SQL, Azure Storage Account, Azure Redis Cache, Azure Active Directory, and more with Java applications running on Azure Monitor and debug Java applications running on AzureSecure Azure-based Java applicationsBuild DevOps CI/CD strategy for Azure-based Java applicationsPackage and deploy Azure-based Java applications on Azure Who This Book Is ForJava developers planning to build Azure-based Java applications and deploy them on Azure. Developers should be aware of the preliminary cloud fundamentals to help them understand the Java capability available on Azure. They do not need to be an expert in Azure to grasp the book's content and start building Java-based applications using the capability available on Azure. However, they should have a good understanding of the Java programming language and frameworks.  

Implement design patterns in .NET 6 using the latest versions of the C# and F# languages. This book provides a comprehensive overview of the field of design patterns as they are used in today's developer toolbox. In addition to the functional builder, asynchronous factory method, generic value adapter, and composite proxies, this new edition introduces topics such as Decorator Cycle Policies Functional Commands, a Transformer variation of the Visitor pattern, and factories that can perform Object Tracking and Bulk Replacement.Using the C# and F# programming languages, Design Patterns in .NET 6 explores the classic design pattern implementations and discusses the applicability and relevance of specific language features for implementing patterns. You will learn by example, reviewing scenarios where patterns are applicable. Former C# MVP and patterns expert Dmitri Nesteruk demonstrates possible implementations of patterns, discusses alternatives and pattern relationships, and illustrates the way that a dedicated refactoring tool (JetBrains Rider) can be used to implement design patterns with ease.What You Will LearnBecome familiar with the latest pattern implementations available in C# 10 and F# 6Know how to better reason about software architectureUnderstand the process of refactoring code to patternsRefer to researched and proven variations of patternsStudy complete, self-contained examples, including many that cover advanced scenariosUse the latest versions of C# and Visual Studio/Rider/ReSharperWho This Book Is ForDevelopers who have some experience in the C# language and want to expand their comprehension of the art of programming by leveraging design approaches to solve modern problems

The principal benefit this book is to provide a holistic and comprehensible view of the entire software development process, including ongoing evolution and support. It treats development as a collaborative effort with triad communication between a tester, a programmer, and a representative from the user community or a Subject Matter Expert (SME).  Progress is measured by user acceptance in each cycle before proceeding to the next step of an activity. There is no test stage in the DPAC model: continuous testing is represented in the backswing (Check Phase) of each activity cycle.    This approach posits that there exists some "e;happy path"e; that represents the intent of the project as declared by the objectives of a Vision Statement, and that this path can be revealed by an iterative and incremental process of "e;freeing the statue from the stone."e;  As the image of this path unfolds, more waste is removed while retaining conceptual integrity.  The example presented herein walks the reader through an application of the model.  This book should be of great interest to Product and Project Managers new to the concept of a lean agile development effort, and all practitioners of an agile methodology or those considering or just beginning an agile journey.What You'll LearnSee how the various disciplines constituting the software development process come togetherUnderstand where in the development process management, you can exercise measurement of progress and controlReview how a quality engineering program will positively affect the quality of the development processExamine how the quality of the development process profoundly affects the quality of the software systemWho This Book Is ForManagers, from the C-Suite (CEO,CXO, CIO) to line managers including project managers, and practitioners including programmers, testers, and mid-level managers (Technical Project Managers, Software Quality Engineers, and Coaches). Also, Agile enthusiasts who are looking for a software development methodology on which to place their hat.    

Cyberattacks continue to increase in volume and sophistication, targeting everything owned, managed, and serviced from the cloud. Today, there is widespread consensus-it is not a matter of if, but rather when an organization will be breached. Threat actors typically target the path of least resistance. With the accelerating adoption of cloud technologies and remote work, the path of least resistance is shifting in substantive ways. In recent years, attackers have realigned their efforts, focusing on remaining undetected, monetization after exploitation, and publicly shaming organizations after a breach.New, innovative, and useful products continue to emerge and offer some cloud protection, but they also have distinct limitations. No single, standalone solution or strategy can effectively protect against all cloud attack vectors or identify all malicious activity. The simple fact is that the cloud is based on a company's assets being offered as services. As a result, the best security any organization can achieve is to establish controls and procedures in conjunction with services that are licensed in the cloud.Cloud Attack Vectors details the risks associated with cloud deployments, the techniques threat actors leverage, the empirically-tested defensive measures organizations should adopt, and shows how to improve detection of malicious activity.What You'll LearnKnow the key definitions pertaining to cloud technologies, threats, and cybersecurity solutionsUnderstand how entitlements, permissions, rights, identities, accounts, credentials, and exploits can be leveraged to breach a cloud environmentImplement defensive and monitoring strategies to mitigate cloud threats, including those unique to cloud and hybrid cloud environmentsDevelop a comprehensive model for documenting risk, compliance, and reporting based on your cloud implementation Who This Book Is ForNew security professionals, entry-level cloud security engineers, managers embarking on digital transformation, and auditors looking to understand security and compliance risks associated with the cloud

Migrate your existing, on-premises applications into the Microsoft Azure cloud platform. This book covers the best practices to plan, implement, and operationalize the migration of a database application from your organization's data center to Microsoft's Azure cloud platform.Data modernization and migration is a technologically complex endeavor that can also be taxing from a leadership and operational standpoint. This book covers not only the technology, but also the most important aspects of organization culture, communication, and politics that so frequently derail such projects. You will learn the most important steps to ensuring a successful migration and see battle-tested wisdom from industry veterans. From executive sponsorship, to executing the migration, to the important steps following migration, you will learn how to effectively conduct future migrations and ensure that your team and your database application delivers on the expected business value of the project. This book is unlike any other currently in the market. It takes you through the most critical business and technical considerations and workflows for moving your data and databases into the cloud, with special attention paid to those who are deploying to the Microsoft Data Platform in Azure, especially SQL Server. Although this book focuses on migrating on-premises SQL Server enterprises to hybrid or fully cloud-based Azure SQL Database and Azure SQL Managed Instances, it also cover topics involving migrating non-SQL Server database platforms such as Oracle, MySQL, and PostgreSQL applications to Microsoft Azure.What You Will LearnPlan a database migration that ensures smooth project progress, optimal performance, low operating cost, and minimal downtimeProperly analyze and manage non-technical considerations, such as legal compliance, privacy, and team executionPerform a thorough architectural analysis to select the best Azure services, performance tiers, and cost-containment featuresAvoid pitfalls and common reasons for failure relating to corporate culture, intra-office politics, and poor communicationsSecure the proper executive champions who can execute the business planning needed for successApply proven criteria to determine your future-state architecture and your migration methodExecute your migration using a process proven by the authors over years of successful projectsWho This Book Is ForIT leadership, strategic IT decision makers, project owners and managers, and enterprise and application architects. For anyone looking toward cloud migration projects as the next stage of growth in their careers. Also useful for enterprise DBAs and consultants who might be involved in such projects. Readers should have experience and be competent in designing, coding, implementing, and supporting database applications in an on-premises environment. 

Produce high-quality, visually attractive analysis quickly and effectively with Microsoft's key BI tool. This book teaches analysts, managers, power users, and developers how to harness the power of Microsoft's self-service business intelligence flagship product to deliver compelling and interactive insight with remarkable ease. It then shows you the essential techniques needed to go from source data to dashboards that seize your audience's attention and provide them with clear and accurate information. As well as producing elegant and visually arresting output, you learn how to enhance the user experience through adding polished interactivity. This book shows you how to make interactive dashboards that allow you to guide users through the meaning of the data that they are exploring. Drill down features are also covered that allow you and your audience to dig deeper and uncover new insights by exploring anomalous and interesting data points.Reading this book builds your skills around creating meaningful and elegant dashboards using a range of compelling visuals. It shows you how to apply simple techniques to convert data into business insight. The book covers tablet and smartphone layouts for delivering business value in today's highly mobile world. You'll learn about formatting for effect to make your data tell its story, and you'll be a master at creating visually arresting output on multiple devices that grabs attention, builds influence, and drives change. What You Will LearnProduce designer output that will astound your bosses and peersMake new insights as you chop and tweak your data as never beforeCreate high-quality analyses in record timeCreate interdependent charts, maps, and tablesDeliver visually stunning informationDrill down through data to provide unique understandingsOutshine competing products and enhance existing skillsAdapt your dashboard delivery to mobile devicesWho This Book Is ForFor any Power BI user who wants to strengthen their ability to deliver compelling analytics via Microsoft's widely adopted analytics platform. For those new to Power BI who want to learn the full extent of what the platform is capable of. For power users such as BI analysts, data architects, IT managers, accountants, and C-suite members who want to drive change in their organizations.

Get a practical introduction to CockroachDB. This book starts with installation and foundational concepts and takes you through to creating clusters that are ready for production environments. You will learn how to create, optimize, and operate CockroarchDB clusters in single and multi-region environments. You will encounter anti-patterns to avoid, as well as testing techniques for integration and load testing.The book explains why CockroachDB exists, goes over its major benefits, and quickly transitions into installing and configuring CockroachDB. Just as quickly, you'll be creating databases, getting data into those databases, and querying that data from your applications. You'll progress to data privacy laws such as GDPR and CCPA, and learn how CockroachDB's global distribution features can help you comply with ever-shifting data sovereignty regulations. From there, you'll move into deployment topologies, guidance on integration testing and load testing, best practices, and a readiness checklist for production deployments.What You Will LearnDeploy and interact with CockroachDBDesign and optimize databases and tablesChoose the correct data types for modeling your dataProtect data with database and table encryptionAchieve compliance with international data privacy regulationsScale your databases in a way that enhances their performanceMonitor changes to the data and health of your databasesWho This Book Is ForDevelopers and database administrators who want to provide a secure, reliable, and effortlessly distributed home for their data; those who wish to use a modern tool to tackle the kinds of scaling challenges that have previously required dedicated teams of people to solve; anyone who wants to leverage their database to solve non-trivial, real-world challenges while protecting their data and users

Create apps with rich capabilities to receive, process, and intelligently store data that work across multiple devices in the Apple ecosystem. This book will show you how to organize your app's data and make it work for you and your users! With many frameworks, there's a point in the learning curve where you stop fearing the mountain of knowledge to learn and just enjoy the power to play and develop. For some reason many developers feel that point seems harder to reach with Core Data. And that's unjustified-Core Data is a great framework that with powerful, optimized tools right out of the box. So it's time you stopped fearing the journey and took your steps further out into the world of enjoying the power of Core Data.With what you learn, you can build apps to deal with a large amount of data and complex relationships in intelligent and efficient ways. Core Data has many secrets underneath the hood that can power up your persistent store like never before. Tools such as Undo, objects deletion, migration, and more. Set up your store and your data model, handle objects with a multi-threading environment, write integration tests, and share your data with an Apple Watch app and iCloud.What You'll LearnWork with Core Data objects across apps and platformsWrite integration tests with your persistent storeFetch, organize, write, and process data efficiently and intelligentlyWho This Book Is ForExperienced iOS developers with Swift knowledge creating iOS apps that require saving complex data on the device other than a few numbers or text.

Link the use of technology with long-term business goals to optimize the core elements in your organization: people, strategy, and operations. This book will show you how effective planning of processes and execution of strategies with the help of technology can bring about an organization-wide increase in productivity and performance.Business environments have grown increasingly competitive. Before an organization realizes what has happened, it can lose or gain market share. Being agile is the key to success. This book covers the processes that can help your enterprise be agile and follow best practices when executing your business strategy.You'll review case studies from real-world experiences that dive deep into the problems a business encounters and the ways to solve those challenges. They deal with the different ways in which your organization can achieve dramatic performance improvements by changing your company's processes. The book also explains how objectives and key results can be used to align business teams for increased productivity. With Use Tech to Mobilize Your People, Strategy, and Operations you'll learn how the intensity of core processes can ensure that growth does not wane in your organization.  What You'll Learn Know the role of three core elements in organizations: people, strategy, operationsUnderstand how technology can enhance these three core elementsBe aware of the importance of scale and security in the information eraEliminate distractions and uncertainty in core processesWho This Book Is ForPeople with experience building businesses (founders, CEOs, COOs, CTOs, project managers, product managers, operation heads, sales heads, finance heads, strategy heads, technology leaders) who are looking for technology solutions to business problems

Use this comprehensive Agile product and project management guide with real-world case studies and examples for self-learning or as a student textbook. Whether you are a CEO or a student, this book will take you from Agile delivery to team topology and product-market fit.Agile delivery is becoming a mainstream project management framework, increasing demand for an understanding of modern related concepts. Agile Product and Project Management covers IT delivery and project management basics while approaching IT as a customer-centric product delivery ecosystem. The book covers two major topics: building the RIGHT product and building the product RIGHT. Each chapter builds on the materials in the previous chapter. Terminology and exercises are introduced sequentially. The book takes you on a journey from identifying a product using Agile principles to delivering and iterating on this process, step-by-step. The final chapter provides practical advice on role-based interviews, career progression, professional certifications and affiliations, and communities of practice.You'll LearnThe Objectives and Key Results (OKR) framework, which explains why every project has to align with organizational objectives and how these objectives are used to measure project successAgile (Scrum, Kanban, XP), Waterfall, and hybrid product and project management practices, and how to apply the "e;working backwards"e; framework from the customer to IT projectsThe Lean Startup framework of product design, based on the "e;build-measure-learn"e; feedback loop, and compared with Waterfall requirements gathering and project scope managementDesign Thinking and customer research practicesThe product backlog taxonomy (epic, user story, subtask, bug, etc.), prioritization techniques, ongoing backlog maintenance, and stakeholder communicationMajor aspects of IT delivery, including Agile teams, roles, frameworks, and success criteriaWaterfall planning and Scrum, in detail, including its Sprint structure, artifacts, roles, and ceremonies (meetings) as well as a comparison of Agile scaling frameworksCase studies of modern technology leaders, from startups to FAANGExamples of release plans and delivery reports based on actual projects in a wide range of companies, ways to minimize technical debt, implement DevOps, and establish quality management practices for software productsEffective ways of managing dependencies and delivering products that delight customers and made the Silicon Valley giants successful and allowed for rapid business growthWho This Book Is ForGraduate students specializing in computer science, information systems, project management, and related management areas; practitioners seeking professional development; and project management professionals looking to grow their careers into Agile product and project management

Advance your understanding of generic data structures and algorithms and their applications using Go and the effective use of concurrency. You are invited on a journey that aims to improve your programming and problem-solving skills. This book takes you to the next step by showing how to get your programs to work efficiently as well as correctly. As you explore many data structures and the algorithms and applications associated with them, you'll focus on the trade-offs between speed and storage and the benefits of deploying concurrency when appropriate. This book will demonstrate the huge increases in application performance that are possible. The presentation of classic data structures and techniques of algorithm design (greedy, divide and conquer, branch-and-bound to name a few) provides an essential foundation and toolkit for problem solving. But this book goes further by presenting heuristic algorithms and their implementations for solving computationally intractable combinatoric optimization problems such as the travelling salesperson problem. Simulated annealing and genetic algorithms are among the techniques used.The consistent style of coding used throughout this book exploits Go's ability to implement abstract, generic and constrained generic data types without the use of classes.  Although some familiarity with Go is assumed, this book should advance your ability to use Go to tackle server-side applications, games, machine learning, information retrieval and other application domains where speed and storage efficiency is essential.What You'll LearnExplore classical data structures and algorithms aimed at making your applications run faster or require less storageUse the new generic features of Go to build reusable data structuresUtilize concurrency for maximizing application performanceSee the power of heuristic algorithms for computationally intractable problemsEnhance and improve your Go programming skillsWho This Book Is ForPracticing Go software developers and students who wish to advance their programming and problem-solving skills and experience the excitement and see the benefits of using generic data structures and algorithms that utilize concurrency whenever possible.

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python.What You'll LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backgrounds, including backend developers, academic research programmers, data scientists, and machine learning engineers. The book is also useful to high school students and college undergraduates and graduates with STEM backgrounds.

Learn the concepts and develop the skills to be a true Ansible artist and use it inside and outside the box. This book applies key concepts immediately while building up your Ansible skills layer by layer through easy to grasp examples and engaging projects. You'll also think about security, why testing is important, and how to use version control safely.As a beginner to Ansible, you'll be guided step-by-step through creating your first Ansible playbook to deploying your first server and writing more complex cross-dependency playbooks. From the first line of code to the last, you'll constantly iterate and simplify your playbooks, iwhile taking on more complex topics as you construct a full Wordpress website stack consisting of a database, web servers, and load balancer. This book will prompt you to think about how these fit together and will explain what to do to ensure maintainability long into the future. Don't just use Ansible. Completely change how you go about provisioning, configuring, and managing servers, applications, and their dependencies with this powerful, open source automation tool. In exchange for this power and efficiency, Ansible demands a very different way of thinking about resources and how they all fit together. This can be hard to get your head around if you've never done it before. Every step of the way, Beginning Ansible Concepts and Application show you best practices so that you can confidently start using Ansible right away.What You'll LearnSet up an Ansible environmentCreate and run playbooksOrganize groups of variables, vaults, roles, and tasks to ensure your playbooks are scalableProtect secrets using Ansible VaultsAutomate the build of a Wordpress websiteWho This Book Is For Developers looking for a better way to manage their servers other than by logging in and typing commands. Also enthusiasts who want to learn not just how to use Ansible but how to use it correctly and confidently.

This book shows Oracle Application Express (APEX) developers how to take advantage of Oracle Cloud Infrastructure (OCI) features for APEX that might otherwise go missed. You will learn how to use OCI features for data science tasks such as detecting anomalies in your data, training machine learning models, and much more. The book provides an in-depth look at Oracle Cloud features and demonstrates how they can be easily integrated into an APEX application. While the book focuses on developing for APEX, the approaches covered in the book are also applicable to any other modern web developer framework for applications running on the OCI platform.For many organizations, the database is the heart of operations. Those who opt to invest in the Oracle Database can learn from this book how to maximize their return on investment. The book begins with an introduction to OCI and help on setting up your OCI developer environment. From there you'll begin with security by learning to provide single sign-on via the Oracle Identity Cloud Service. Subsequent chapters take you through cloud-focused features such as Object Storage, Oracle Function, Oracle Machine Learning REST Services, and Oracle Cloud Anomaly Detection. You'll even learn to troubleshoot email delivery services.What You Will LearnBe aware of Oracle Cloud Infrastructure features for developersIntegrate with cloud native services such as cloud-based object storage and serverless functionsEnhance APEX applications with machine learning featuresImplement Natural Language Processing and Anomaly Detection AlgorithmsTroubleshoot email delivery services when sending emails using the APEX_MAIL packageDesign and implement an APEX environment that is secureWho This Book Is ForAPEX developers who are looking to extend their application's capabilities using features and resources available through the Oracle Cloud, and cloud solutions architects who support development teams and help design and implement architectures that benefit business operations

Use a simple programming model and the .NET language of your choice to build large distributed systems. This book teaches you the Microsoft Orleans framework.Even well-versed professional software developers with expertise in C# (or another language) find themselves unequipped to meet the challenges of distributed systems as infrastructure moves to multi-core; multiple computers are being used for scale, redundancy, and cloud computing; and multi-region deployment is taking place.Orleans handles many of the concerns of distributed computing and cloud infrastructure, allowing you to concentrate on writing application logic.What You Will LearnKnow the key concepts for building distributed systemsGain a background in the origin and evolution of Orleans, and why it is important for your projectsDive into each of the features available in Orleans by building an example applicationDevelop troubleshooting skills for fixing bugs and running diagnosticsAchieve performance optimization and advanced configurationUse the Orleans Dashboard to discern valuable insight in system performanceWho This Book Is ForExperienced C# developers who want to build a new high-scale application (perhaps for an IoT requirement) and are interested in learning the concepts and features available in Orleans

Build decentralized applications with smart contract programming. Following the curriculum from an active blockchain course taught by the author at the McCombs School of Business at the University of Texas, this book fills the gaps for you from learning about basic cryptocurrency uses of blockchain to understanding smart contracts and dapps.You'll first start by understanding the basics of blockchain technology. Take a business point of view to discover general concepts about blockchains and dapps or "e;decentralized apps"e; built off of smart contracts. Next, learn about the token economy, how to design tokens, and relevant client technologies, such as web3, metamask, and UI/UX design. Then, install a blockchain node yourself.With a basic understanding of blockchain applications and business uses, you'll move further into hands-on development. There are ten modules for hands-on smart contract programming covered to build your own decentralized applications. Several team projects built end-to-end from concept to deployment to operation are also provided. Using these models and your own original work, you'll build a smart contract development environment, practice Solidity programming, compile source code, perform security reviews, and deploy bytecode to blockchains.The breakthrough in blockchain technology has empowered novel ecosystems and applications in the areas of Decentralized Finance (DeFi), Central Bank Digital Currency (CBDC), Non-Fungible Tokens (NFT), Decentralized Autonomous Organization (DAO), and more. Blockchain and Ethereum Smart Contract Solution Development will prepare you to create fantastic applications using Ethereum's smart contracts and solid concepts of decentralized programming!What You'll LearnBecome familiar with Blockchain technology, both in theory and in practiceUnderstand architectural components of blockchain and the underlying computer scienceImplement blockchain smart contract solutions using both public and enterprise Ethereum blockchainsWho This Book Is ForIT professionals and mid-level managers interested in smart contract development. Blockchain Consultants who want to have a handbook of smart contract development methodologies. And enterprise technologiests helping companies through the transformation to blockchain technologies.

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. Modern data analysis requires computational skills and usually a minimum of programming. After reading and using this book, you'll have what you need to get started with R programming with data science applications.  Source code will be available to support your next projects as well.Source code is available at github.com/Apress/beg-data-science-r4.What You Will LearnPerform data science and analytics using statistics and the R programming languageVisualize and explore data, including working with large data sets found in big dataBuild an R packageTest and check your codePractice version controlProfile and optimize your codeWho This Book Is ForThose with some data science or analytics background, but not necessarily experience with the R programming language.

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development. The first chapters of this book cover the basics of NNI toolkit usage and methods for solving hyper-parameter optimization tasks. You will understand the black-box function maximization problem using NNI, and know how to prepare a TensorFlow or PyTorch model for hyper-parameter tuning, launch an experiment, and interpret the results. The book dives into optimization tuners and the search algorithms they are based on: Evolution search, Annealing search, and the Bayesian Optimization approach. The Neural Architecture Search is covered and you will learn how to develop deep learning models from scratch. Multi-trial and one-shot searching approaches of automatic neural network design are presented. The book teaches you how to construct a search space and launch an architecture search using the latest state-of-the-art exploration strategies: Efficient Neural Architecture Search (ENAS) and Differential Architectural Search (DARTS). You will learn how to automate the construction of a neural network architecture for a particular problem and dataset. The book focuses on model compression and feature engineering methods that are essential in automated deep learning. It also includes performance techniques that allow the creation of large-scale distributive training platforms using NNI. After reading this book, you will know how to use the full toolkit of automated deep learning methods. The techniques and practical examples presented in this book will allow you to bring your neural network routines to a higher level.What You Will LearnKnow the basic concepts of optimization tuners, search space, and trialsApply different hyper-parameter optimization algorithms to develop effective neural networksConstruct new deep learning models from scratchExecute the automated Neural Architecture Search to create state-of-the-art deep learning modelsCompress the model to eliminate unnecessary deep learning layersWho This Book Is For Intermediate to advanced data scientists and machine learning engineers involved in deep learning and practical neural network development

Create rich and dynamic web applications on the Azure cloud platform using static web development techniques built around Blazor WebAssembly, APIs, and Markup, while leveraging the paradigm commonly known as JAMstack. This book starts off showing you how to create an environment for deploying your first application. You will create an Azure Static Web App using a Blazor WebAssembly application and adding dynamic content using an Azure function before deploying from GitHub. You will learn to debug your Static Web App locally, both inside of Visual Studio and from the command line using a simple Static Web App CLI command. The book takes a deep dive into the CLI to allow you to emulate all of the features available in the Azure environment. You will learn the authentication and authorizing options with your app and create new blog posts with the post creation function. Included in the book is setting a custom domain and discussion of the options. The book also explores the differences between the free and standard hosting tiers for Static Web Apps.After reading this book, you will be able to create Azure Static Web Apps using Blazor technology.What Will You LearnConnect with external authentication services from Twitter, Google, Microsoft, GitHub, and moreWork with the GitHub deployment flow, including using staging environmentsExplore the scaffolded Blazor appUnderstand differences between the pricing tiers and know which to chooseWho This Book Is ForWeb developers looking to deploy feature-rich applications to the cloud