Böcker utgivna av APress

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

Explore software web application architecture, API testing, coding practices, and the standards for better API test automation development and management. This book focuses on aspiring software testing engineers currently working in API testing, and those starting their journey in the field of software testing. You'll begin with an introduction to API testing and software web applications involving APIs. The book then moves on to the authentication standards used in the software industry, and the tools, the frameworks, and the libraries used in API testing. As the book progresses, you'll learn about the test pyramid, how to test an API, what makes a good test script, and various coding guidelines. Finally, you get to write your own API test script.  Learn API Testing is your pathway to understanding a typical software web application, its requests and responses, and the properties of a good test script. What You'll learnExamine practices, standards, and guidelines for effective test automationWork with different tools like RestAssured, Curl, and PostmanUnderstand API testing paradigm (internal/external APIs, CDCT)Review a case study on the industrial software API testing processOrganize a test frameworkWho This Book Is For API testing aspirants, developers/architects, project managers, and non-technical team members who may want to understand how APIs are being tested.

Program the Raspberry Pi Pico, the latest microcontroller board from raspberrypi.org, with MicroPython. This book will take you on a tour of the Raspberry Pi Pico, including how to get started using the microcontroller, seeing which alternative microcontrollers are available, and how to connect and run simple code examples. You'll program example projects in MicroPython using Python on your PC as a learning platform. Then build your hardware skillset working with electronics and breadboard circuits. You'll implement example projects with all steps explained, including hardware connections and executing the project. Then apply them to real-world, approachable projects using the accessible Raspberry Pi Pico!  The book shows how the cloud is used for IoT data and find out what popular cloud systems currently exist for IoT. Finally, you'll use ThingSpeak for hosting IoT data including connecting your Pico to the Internet.     Beginning MicroPython with the Raspberry Pi Pico allows you to build up your skills to more advanced IoT projects and Cloud systems! What You Will LearnBuild valuable programming skills with MicroPython Explore the Raspberry Pi Pico and similar boardsDevelop your own electronics and IOT projectsIncorporate the Grove component system with the Raspberry Pi PicoWho This Book Is ForBeginners interested in learning to work with the Raspberry Pi Pico using MicroPython on microcontrollers with little to no experience in programming, hardware, or electronics. The book should also appeal to those who wanting to gain experience with building electronic solutions with microcontrollers.

Using real life examples, learn how open source projects are consumed and explore the nuances within different industries in adopting open source technologies.After gaining a basic understanding of open source and open standards, understand how licensing helps turn community code into an enterprise worthy component. It also helps you understand future governance of the open source software. Once in effect, continuous security becomes a challenge for open source components so we'll examine its ongoing security aspects.  This book will also cover different open source domains and industries and discuss how an enterprise can transform itself by applying key open source principles. In the end Getting Started with Open Source Technologies will provide a 360-degree view of open source and show you how to apply it. What You'll LearnUnderstand current trends in open source and why it is relevant todayGain entry into the open source world to properly license your source codeReview open source usage within different industries and apply the learnings to your enterprisesEvangelize and create advocates in open source communitiesWho This Book Is ForEnterprises (Developers/Operators/Management) and academics who want to get a 360-degree view of open source no matter how early or advanced they are in their adoption of any open source technology.

Work with Git and avoid dangerous mishaps in this popular, cooperative environment, even if you have no software engineering background or previous experience with Git. This book will teach you the basic principles of working cooperatively in Git with software engineers and other team members to handle issues the GUI can't. You'll start by learning the fundamentals of the Git environment and commands. Concepts such as commits, branches, and Git organization are discussed. To avoid bogging you down with software terminology, advanced topics like setting up a Git server are ignored. Descriptions are worded to keep you away from technical specifications. Examples are presented in easily digestible text files and focus on realistic scenarios and concerns without delving into one-off or advanced, oddball situations. You can see the results without focusing on the jargon. Once you understand the basics of Git, you'll design a digital system circuit using a computer aided design (CAD) tool. You'll learn to collaborate effectively through Git between team members, incorporate continuous development philosophy, work with project documentation, and build a solid project structure. Finally, you'll see how Git can also ease maintenance tasks and provide CAD designers unique opportunities.  What You'll LearnWork with the Git-bash environmentIncorporate continuous development philosophyDiscover the links between Git and modern CAD programsWho This Book Is ForElectrical engineers active in device manufacturing and other engineers and students unfamiliar with Git.

This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science stacks such as statistical analysis, visualization, model selection, and feature engineering.You'll review the inefficiencies and bottlenecks lurking in the daily business process and solve them with practical solutions. Automation of repetitive data science tasks is a key mindset that is promoted throughout the book. You'll learn how to extend the existing coding practice to handle larger datasets with high efficiency with the help of advanced libraries and packages that already exist in the Python ecosystem. The book focuses on topics such as how to measure the memory footprint and execution speed of machine learning models, quality test a data science pipelines, and modularizing a data science pipeline for app development. You'll review Python libraries which come in very handy for automating and speeding up the day-to-day tasks.  In the end, you'll understand and perform data science and machine learning tasks beyond the traditional methods and utilize the full spectrum of the Python data science ecosystem to increase productivity.  What You'll Learn Write fast and efficient code for data science and machine learningBuild robust and expressive data science pipelines Measure memory and CPU profile for machine learning methods Utilize the full potential of GPU for data science tasks Handle large and complex data sets efficiently Who This Book Is For Data scientists, data analysts, machine learning engineers, Artificial intelligence practitioners, statisticians who want to take full advantage of Python ecosystem.

Refer to the practical guidance provided in this book to develop Salesforce custom applications in a more agile, collaborative, and resilient way using Salesforce Developer Experience (DX). You will learn how to use the Salesforce Command Line Interface (CLI) to simplify working with projects, metadata, data and orgs. The CLI integrates with your development tools of choice such as Visual Studio Code, and CI/CD tools to implement DevOps pipelines. Readers will also gain an understanding of the package development model, which improves application quality and maintainability by grouping metadata into highly cohesive, loosely coupled containers.Salesforce DX supports application development throughout the entire development lifecycle where a version control system, rather than a Salesforce org, is the source of truth. It became generally available in late 2017 and has now reached a stage of feature richness and stability that it is becoming more widely adopted.Beginning Salesforce DX provides development teams with practical, how-to examples of using Salesforce DX that go beyond the Salesforce documentation. Commands and their parameters are described, including any gotchas, and the outcome of the commands on a Salesforce org is explained. What You Will Learn How to setup a Salesforce DX development environment Understand the key Salesforce DX concepts and the Salesforce CLI Work with Dev Hubs, projects, orgs, metadata and version control systems Improve quality with test users and test data Bootstrap pro-code development with templates Apply Salesforce DX to an end-to-end package development projectWho This Book Is ForInternal teams developing custom Salesforce applications for an individual customer, or those creating commercial applications for distribution via the Salesforce AppExchange enterprise marketplace. All team disciplines will benefit from understanding and applying Salesforce DX, including pro-code, low-code and no-code developers, testers, release managers, DevOps engineers and administrators. A secondary audience includes those needing to understand key concepts when establishing or evolving an organisation's application lifecycle management capability, such as capability leaders, architects, consultants and business analysts.

Transition from a back-end developer to a full-stack developer with knowledge of all the dimensions of web application development, namely, front-end, back-end and server-side software. This book provides a comprehensive overview of Streamlit, allowing developers and programmers of all backgrounds to get up to speed in as little time as possible. Streamlit is a pure Python web framework that will bridge the skills gap and shorten development time from weeks to hours. This book walks you through the complete cycle of web application development, from an introductory to advanced level with accompanying source code and resources. You will be exposed to developing basic, intermediate, and sophisticated user interfaces and subsequently you will be acquainted with data visualization, database systems, application security, and cloud deployment in Streamlit.  In a market with a surplus demand for full stack developers, this skill set could not possibly come at a better time. In one sentence, Streamlit is a means for the empowerment of developers everywhere and all stand to gain from it. What You'll LearnMutate big data in real-timeVisualize big data interactivelyImplement web application security and privacy protocols Deploy Streamlit web applications to the cloud using Streamlit, Linux and Windows servers Who is this Book for?Developers with solid programming experience wanting to learn Streamlit; Back-end developers looking to upskill and transition to become a full-stack developers; Those who wish to learn and become more acquainted with data visualization, database systems, security and cloud deployment with Steamlit

Boost your iOS developer career by learning from real-life examples and start writing code for one of the most successful platforms ever. No matter if you're an experienced developer or just a beginner, you'll find something new and something useful for your future projects here.    All of the recipes in this book are taken from real-life commercial projects that have been approved by Apple and published on the App Store. You won't write "e;Hello, world!"e; and similar programs. Instead you'll see how to parse different data formats; run JavaScript code right inside your iOS app; and enhance storyboard editor with several simple extensions. You'll make beautiful modern-looking dialogs with blurs, shadows and rounded corners using only a few lines of code, and safely convert data after analyzing text strings. Go on to animate your layout and get your app shored up to crash as little as possible    Each recipe offers a code snippet to copy and paste to your project as a tool to boost your knowledge, as well as, create plug-and-play features. Each of recipe shows the description for each line of code while explaining the logic of it, contains references to documentation, and gives you an opportunity to modify or write something similar that fits your project better.    A good piece of code should not work but also be short, clear, and stable. And that combo will be our priority in these code recipes. Well-written code snippets must run in any environment and be easily transferrable from one project to another. Most of the provided recipes will migrate from one project to another with little to no changes at all, and with years of real-world application have proven themselves to be useful and stable. Dive into the world of iOS development and write clear, functioning, and safe Swift code!  What You'll LearnParse, convert, and print Swift data   Develop stunning UIs quickly  Write effective and portable Swift extensions  Make your code cleaner and safer  Who This Book Is ForBeginners in iOS development who want to improve their skills with real-life examples. Developers switching to mobile development from other areas. All iOS developers looking for code recipes.

Dive into key topics in network architecture implemented with the Google-backed open source Go programming language. Networking topics such as data serialization, application level protocols, character sets and encodings are discussed and demonstrated in Go. This book has been updated to the Go version 1.18 which includes modules, generics, and fuzzing along with updated and additional examples. Beyond the fundamentals, Network Programming with Go, Second Edition covers key networking and security issues such as HTTP protocol changes, validation and templates, remote procedure call (RPC) and REST comparison, and more. Additionally, authors Ronald Petty and Jan Newmarch guide you in building and connecting to a complete web server based on Go. Along the way, use of a Go web toolkit (Gorilla) will be employed. This book can serve as both an essential learning guide and reference on networking concepts and implementation in Go.  Free source code is available on Github for this book under Creative Commons open source license.What You Will Learn Perform network programming with Go (including JSON and RPC) Understand Gorilla, the Golang web toolkit, and how to use it Implement a microservice architecture with Go Leverage Go features such as generics, fuzzing Master syscalls and how to employ them with Go Who This Book Is For Anyone interested in learning networking concepts implemented in modern Go. Basic knowledge in Go is assumed, however, the content and examples in this book are approachable with modest development experience in other languages.