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Microservices Design Patterns in .NET: Making sense of microservices design and architecture using .NET Core
by Trevoir WilliamsLearn to be deliberate and intentional in your design, technology, and pattern choices when developing an application using a microservices architecture.Key FeaturesTackle common design problems when developing a microservices application using .NET CoreExplore applying S.O.L.I.D development principles in developing a stable microservice applicationUse your knowledge to solve common microservice application design challengesBook DescriptionAre you a developer who needs to fully understand the different patterns and benefits that they bring to designing microservices? If yes, then this book is for you. Microservices Design Patterns in .NET will help you appreciate the various microservice design concerns and strategies that can be used to navigate them. Making a microservice-based app is no easy feat and there are many concerns that need to be addressed. As you progress through the chapters of this guide, you'll dive headfirst into the problems that come packed with this architectural approach, and then explore the design patterns that address these problems. You'll also learn how to be deliberate and intentional in your architectural design to overcome major considerations in building microservices. By the end of this book, you'll be able to apply critical thinking and clean coding principles when creating a microservices application using .NET Core.What you will learnUse Domain-Driven Design principles in your microservice designLeverage patterns like event sourcing, database-per-service, and asynchronous communicationBuild resilient web services and mitigate failures and outagesEnsure data consistency in distributed systemsLeverage industry standard technology to design a robust distributed applicationFind out how to secure a microservices-designed applicationUse containers to handle lightweight microservice application deploymentWho this book is forIf you are a .NET developer, senior developer, software architect, or DevOps engineer who wants to explore the pros and cons, intricacies, and overall implementation of microservice architecture, then this book is for you. You'll also get plenty of useful insights if you're seeking to expand your knowledge of different design patterns and supporting technologies.Basic experience with application and API development with .NET Core (2+) and C# will help you get the most out of this book.
Technical Program Manager's Handbook: Empowering managers to efficiently manage technical projects and build a successful career path
by Joshua Alan Teter Ben TobinExplore the different aspects of the technical program manager's role in the tech world and get ready to advance your career across the Big Five tech companiesKey FeaturesUncover the secret to becoming a successful technical program managerLearn some of the system design principles and architectural concepts necessary for a TPMGet up and running with a wide range of foundational program management topicsBook DescriptionThe technical program manager (TPM) is a relatively new role born out of the need of the tech industry to have a specialized practitioner who speaks both tech and business and leverages this bilingual talent to get results that no one else can.This book dives into what makes a TPM tick. You'll find out which project and program management skills will help you shine and how you can apply your technical skills for effective results. This book looks at the TPM role across the Big Five tech companies (Amazon, Google, Microsoft, Apple, and Meta) to help you discern the most effective skills to be successful no matter which company you work for.Are you already a well-performing TPM looking to see what's next? This book identifies the career paths for a TPM at the Big Five to help you decide the next step for you.By the end of this book, you'll have a clear understanding of how to be a TPM, along with a breakdown of the necessary technical and program management skills to develop a clear roadmap for your career.What you will learnInvestigate why a TPM is an important role in the tech industryUnderstand the purpose and uniqueness of the TPM roleDiscover what makes a successful TPMNavigate project management with your unique technical skillsExplorer the career opportunities available for a TPMCompare the TPM role and responsibilities across the Big Five tech leadersWho this book is forThis TPM book is for aspiring and established technical program managers in the tech industry. To get the most out of this book, you should have a basic understanding of the project management life cycle and be comfortable with technical concepts as we dive into basic system design and architecture landscapes in context to the TPM role and expectations.
Building Blazor WebAssembly Applications with gRPC: Learn how to implement source generators and gRPC in your Blazor apps for better performance
by Vaclav PekarekExplore the power of Blazor WebAssembly, gRPC, and source generators for easy and quick web developmentKey FeaturesGet to grips with integration between Blazor, gRPC, and source generators in real-life projectsDevelop a complete Blazor WebAssembly project that takes advantage of gRPC's capabilitiesExplore best practices for building a high-performance web application with Blazor and C#Book DescriptionBuilding Blazor WebAssembly Applications with gRPC will take you to the next level in your web development career. After working through all the essentials of gRPC, Blazor, and source generators, you will be far from a beginner C# developer and would qualify as a developer with intermediate knowledge of the Blazor ecosystem.After a quick primer on the basics of Blazor technology, REST, gRPC, and source generators, you'll dive straight into building Blazor WASM applications. You'll learn about everything from two-way bindings and Razor syntax to project setup. The practical emphasis continues throughout the book as you steam through creating data repositories, working with REST, and building and registering gRPC services. The chapters also cover how to manage source generators, C# and debugging best practices, and more. There is no shorter path than this book to solidify your gRPC-enabled web development knowledge.By the end of this book, your knowledge of building Blazor applications with one of the most modern and powerful frameworks around will equip you with a highly sought-after skill set that you can leverage in the best way possible.What you will learnMaster routing and test your learning with demo applicationsCreate service and controller classes for your API endpointsUse gRPC with Blazor instead of REST and revamp your applicationsStudy partial classes, attributes, and more in source generatorsWrite reusable Razor components and debug your code effectivelyUnderstand the semantic model of C# codeDiscover how to read and navigate through syntax treesBuild dynamic websites without using JavaScriptWho this book is forThis book is for beginner C# developers who want to learn how to create more performant web apps with less code using Blazor, the gRPC protocol, and source generators. The book assumes a basic understanding of C#, HTML, and web development concepts.
Practical Design Patterns for Java Developers: Hone your software design skills by implementing popular design patterns in Java
by Miroslav Wengner Bruno SouzaUnravel the power of Java design patterns by learning where to apply them effectively to solve specific software design and development problemsKey FeaturesDecouple logic across objects with dependency injection by creating various vehicles with featuresFinalize vehicle construction by chaining handlers using the Chain of Responsibility PatternPlan and execute an advanced vehicle sensor initiation with the Scheduler PatternBook DescriptionDesign patterns are proven solutions to standard problems in software design and development, allowing you to create reusable, flexible, and maintainable code. This book enables you to upskill by understanding popular patterns to evolve into a proficient software developer.You'll start by exploring the Java platform to understand and implement design patterns. Then, using various examples, you'll create different types of vehicles or their parts to enable clarity in design pattern thinking, along with developing new vehicle instances using dedicated design patterns to make the process consistent. As you progress, you'll find out how to extend vehicle functionalities and keep the code base structure and behavior clean and shiny. Concurrency plays an important role in application design, and you'll learn how to employ a such design patterns with the visualization of thread interaction. The concluding chapters will help you identify and understand anti-pattern utilization in the early stages of development to address refactoring smoothly. The book covers the use of Java 17+ features such as pattern matching, switch cases, and instances of enhancements to enable productivity.By the end of this book, you'll have gained practical knowledge of design patterns in Java and be able to apply them to address common design problems.What you will learnUnderstand the most common problems that can be solved using Java design patternsUncover Java building elements, their usages, and concurrency possibilitiesOptimize a vehicle memory footprint with the Flyweight PatternExplore one-to-many relations between instances with the observer patternDiscover how to route vehicle messages by using the visitor patternUtilize and control vehicle resources with the thread-pool patternUnderstand the penalties caused by anti-patterns in software designWho this book is forIf you are an intermediate-level Java developer or software architect looking to learn the practical implementation of software design patterns in Java, then this book is for you. No prior knowledge of design patterns is required, but an understanding of Java programming is necessary.
Deep Learning and XAI Techniques for Anomaly Detection: Integrate the theory and practice of deep anomaly explainability
by Cher Simon Jeff BarrCreate interpretable AI models for transparent and explainable anomaly detection with this hands-on guidePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesBuild auditable XAI models for replicability and regulatory complianceDerive critical insights from transparent anomaly detection modelsStrike the right balance between model accuracy and interpretabilityBook DescriptionDespite promising advances, the opaque nature of deep learning models makes it difficult to interpret them, which is a drawback in terms of their practical deployment and regulatory compliance.Deep Learning and XAI Techniques for Anomaly Detection shows you state-of-the-art methods that'll help you to understand and address these challenges. By leveraging the Explainable AI (XAI) and deep learning techniques described in this book, you'll discover how to successfully extract business-critical insights while ensuring fair and ethical analysis.This practical guide will provide you with tools and best practices to achieve transparency and interpretability with deep learning models, ultimately establishing trust in your anomaly detection applications. Throughout the chapters, you'll get equipped with XAI and anomaly detection knowledge that'll enable you to embark on a series of real-world projects. Whether you are building computer vision, natural language processing, or time series models, you'll learn how to quantify and assess their explainability.By the end of this deep learning book, you'll be able to build a variety of deep learning XAI models and perform validation to assess their explainability.What you will learnExplore deep learning frameworks for anomaly detectionMitigate bias to ensure unbiased and ethical analysisIncrease your privacy and regulatory compliance awarenessBuild deep learning anomaly detectors in several domainsCompare intrinsic and post hoc explainability methodsExamine backpropagation and perturbation methodsConduct model-agnostic and model-specific explainability techniquesEvaluate the explainability of your deep learning modelsWho this book is forThis book is for anyone who aspires to explore explainable deep learning anomaly detection, tenured data scientists or ML practitioners looking for Explainable AI (XAI) best practices, or business leaders looking to make decisions on trade-off between performance and interpretability of anomaly detection applications. A basic understanding of deep learning and anomaly detection–related topics using Python is recommended to get the most out of this book.
Getting Started with Forex Trading Using Python: Beginner's guide to the currency market and development of trading algorithms
by Alex KrishtopDiscover the inner workings of today's forex market, the essential risks in forex algo trading, and how to mitigate themKey FeaturesBuild trading applications with research and without advanced Python programming skillsDive into professional fx trading while enhancing your trading apps to be more accurateDevelop simple yet efficient backtesting applications to help keep your expectations realisticBook DescriptionAlgorithm-based trading is a popular choice for Python programmers due to its apparent simplicity. However, very few traders get the results they want, partly because they aren't able to capture the complexity of the factors that influence the market. Getting Started with Forex Trading Using Python helps you understand the market and build an application that reaps desirable results. The book is a comprehensive guide to everything that is market-related: data, orders, trading venues, and risk. From the programming side, you'll learn the general architecture of trading applications, systemic risk management, de-facto industry standards such as FIX protocol, and practical examples of using simple Python codes. You'll gain an understanding of how to connect to data sources and brokers, implement trading logic, and perform realistic tests. Throughout the book, you'll be encouraged to further study the intricacies of algo trading with the help of code snippets. By the end of this book, you'll have a deep understanding of the fx market from the perspective of a professional trader. You'll learn to retrieve market data, clean it, filter it, compress it into various formats, apply trading logic, emulate the execution of orders, and test the trading app before trading live.What you will learnExplore the forex market organization and operationsUnderstand the sources of alpha and the concept of algo tradingGet a grasp on typical risks and ways to mitigate themUnderstand fundamental and technical analysisConnect to data sources and check the integrity of market dataUse API and FIX protocol to send ordersTranslate trading ideas into codeRun reliable backtesting emulating real-world market conditionsWho this book is forThis book is for financial traders and python developers who are interested in forex trading. Academic researchers looking to focus on practical applications will find this book useful. This book can also help established fx market professionals who want to take the first steps in algo trading. Familiarity with Python and object-oriented programming within the scope of an online course or self-study is a must. Knowledge of network protocols and interfaces is a plus but not a prerequisite, as is specific knowledge about markets and trading.
Building Modern CLI Applications in Go: Develop next-level CLIs to improve user experience, increase platform usage, and maximize production
by Marian MontagninoEvolve the humble CLI using Go and unleash the next generation of powerful, flexible, and empathy-driven interfacesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesDiscover how Go enables the development of elegant and intuitive CLIsExplore a range of CLI development aspects and pick up a vast array of best practicesCreate engaging and user-friendly interfaces and learn how to distribute themBook DescriptionAlthough graphical user interfaces (GUIs) are intuitive and user-friendly, nothing beats a command-line interface (CLI) when it comes to productivity. Many organizations settle for a GUI without searching for alternatives that offer better accessibility and functionality. If this describes your organization, then pick up this book and get them to rethink that decision.Building Modern CLI Applications in Go will help you achieve an interface that rivals a GUI in elegance yet surpasses it in high-performance execution. Through its practical, step-by-step approach, you'll learn everything you need to harness the power and simplicity of the Go language to build CLI applications that revolutionize the way you work.After a primer on CLI standards and Go, you'll be launched into tool design and proper framework use for true development proficiency. The book then moves on to all things CLI, helping you master everything from arguments and flags to errors and API calls. Later, you'll dive into the nuances of empathic development so that you can ensure the best UX possible, before you finish up with build tags, cross-compilation, and container-based distribution.By the end of this UX book, you'll be fully equipped to take the performance and flexibility of your organization's applications to the next level.What you will learnMaster the Go code structure, testing, and other essentialsAdd a colorful dashboard to your CLI using engaging ASCII bannersUse Cobra, Viper, and other frameworks to give your CLI an edgeHandle inputs, API commands, errors, and timeouts like a proTarget builds for specific platforms the right way using build tagsBuild with empathy, using easy bug submission and tracebackContainerize, distribute, and publish your CLIs quickly and easilyWho this book is forThis book is for beginner- and intermediate-level Golang developers who take an interest in developing CLIs and enjoy learning by doing. You'll need an understanding of basic Golang programming concepts, but will require no prior knowledge of CLI design and development. This book helps you join a community of CLI developers and distribute within the popular Homebrew package management tool.
A Developer's Guide to Cloud Apps Using Microsoft Azure: Migrate and modernize your cloud-native applications with containers on Azure using real-world case studies
by Hamida Rebai Trabelsi Marc-Andre LanielBuild and deploy modern and secure applications on Microsoft Azure by implementing best practices, patterns, and new technologies with this easy-to-follow guidePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn various methods to migrate legacy applications to cloud using different Azure servicesImplement continuous integration and deployment as a best practice for DevOps and agile developmentGet started with building cloud-based applications using containers and orchestrators in different scenariosBook DescriptionCompanies face several challenges during cloud adoption, with developers and architects needing to migrate legacy applications and build cloud-oriented applications using Azure-based technologies in different environments. A Developer's Guide to Cloud Apps Using Microsoft Azure helps you learn how to migrate old apps to Azure using the Cloud Adoption Framework and presents use cases, as well as build market-ready secure and reliable applications.The book begins by introducing you to the benefits of moving legacy apps to the cloud and modernizing existing ones using a set of new technologies and approaches. You'll then learn how to use technologies and patterns to build cloud-oriented applications. This app development book takes you on a journey through three major services in Azure, namely Azure Container Registry, Azure Container Instances, and Azure Kubernetes Service, which will help you build and deploy an application based on microservices. Finally, you'll be able to implement continuous integration and deployment in Azure to fully automate the software delivery process, including the build and release processes.By the end of this book, you'll be able to perform application migration assessment and planning, select the right Azure services, and create and implement a new cloud-oriented application using Azure containers and orchestrators.What you will learnGet to grips with new patterns and technologies used for cloud-native applicationsMigrate old applications and databases to Azure with easeWork with containers and orchestrators to automate app deploymentSelect the right Azure service for deployment as per the use casesSet up CI/CD pipelines to deploy apps and services on Azure DevOpsLeverage Azure App Service to deploy your first applicationBuild a containerized app using Docker and Azure Container RegistryWho this book is forThis book is for cloud developers, software architects, system administrators, developers, and computer science students looking to understand the new role of the software architect or developer in the cloud world. Professionals looking to enhance their cloud and cloud-native programming concepts will also find this book useful. A sound background in C#, ASP.NET Core, and Visual Studio (any recent version) and basic knowledge of cloud computing will be helpful.
IoT and OT Security Handbook: Assess risks, manage vulnerabilities, and monitor threats with Microsoft Defender for IoT
by Smita Jain Vasantha Lakshmi Dr Rohini SrivathsaLeverage Defender for IoT for understanding common attacks and achieving zero trust for IoT and OT devicesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesIdentify and resolve cybersecurity challenges in the IoT and OT worldsFamiliarize yourself with common attack vectors in the IoT and OT domainsDive into Defender for IoT, understand its capabilities, and put it to practiceBook DescriptionThe Fourth Industrial Revolution, or Industry 4.0, is all about digital transformation, manufacturing, and production. The connected world we live in today, including industries, comes with several cybersecurity challenges that need immediate attention. This book takes you through the basics of IoT and OT architecture and helps you understand and mitigate these security challenges.The book begins with an overview of the challenges faced in managing and securing IoT and OT devices in Industry 4.0. You'll then get to grips with the Purdue model of reference architecture, which will help you explore common cyber attacks in IoT and OT environments. As you progress, you'll be introduced to Microsoft Defender for IoT and understand its capabilities in securing IoT and OT environments. Finally, you will discover best practices for achieving continuous monitoring and vulnerability management, as well as threat monitoring and hunting, and find out how to align your business model toward zero trust.By the end of this security book, you'll be equipped with the knowledge and skills to efficiently secure IoT and OT environments using Microsoft Defender for IoT.What you will learnDiscover security challenges faced in IoT and OT environmentsUnderstand the security issues in Industry 4.0Explore Microsoft Defender for IoT and learn how it aids in securing the IoT/OT industryFind out how to deploy Microsoft Defender for IoT along with its prerequisitesUnderstand the importance of continuous monitoringGet familiarized with vulnerability management in the IoT and OT worldsDive into risk assessment as well as threat monitoring and huntingAchieve zero trust for IoT devicesWho this book is forThis book is for industrial security, IoT security, and IT security professionals. Security engineers, including pentesters, security architects, and ethical hackers, who want to ensure the security of their organization's data when connected with the IoT will find this book useful.
BBC Micro: A hands-on guide to building creative real-life projects with MicroPython and the BBC Micro:bit
by Ashwin Pajankar Abhishek Sharma Sandeep SainiDevelop real-world interactive physical computing applications using the Micro:bit with more than 100 MicroPython examples with circuit diagramsKey FeaturesExplore hardware programming and leverage the power of the BBC Micro:bit and MicroPythonBuild real-life creative projects step by step with each chapter increasing in complexity and interactivityLearn the features of the Micro:bit and how to interface it with electronic components through circuits and code examplesBook DescriptionThis book is a one-stop guide for learning BBC Micro:bit with MicroPython, exploring many hardware components and programming techniques to provide detailed insights into developing practical applications with the Micro:bit. It will also show you how hardware components can be manipulated using a combination of Micro:bit and MicroPython for developing practical projects. BBC Micro:bit in Practice will help you gain a holistic understanding of the BBC Micro:bit platform and MicroPython programming, guiding you through mini projects aimed at developing practical knowledge of circuit design and writing programs. You'll learn how to write programs for working with built-in LEDs and buttons, interfacing external LEDs, buttons, motors, buzzers, and much more. You'll also work with built-in radio, speakers, accelerometer, and a compass. You'll dive into concepts related to the Micro:bit filesystem, interfacing external displays, and working with libraries in detail before exploring sewable circuits and wearable technology.After reading this Micro:bit book, you'll understand how to apply principles in electronics and MicroPython to create interesting real-life projects from scratch.What you will learnExplore the essentials of the BBC Micro:bit, its hardware specifications, and versionsProgram built-in and external LEDs and buttonsProgram external LED-based displays, buzzers, and stepper motorsUse analog input and pulse width modulation to drive a servo motorDetect gestures with internal sensors such as accelerometer, compass, and magnetometerWork on projects with built-in features such as music, speech, radio, and filesystemExplore the advanced features of the Micro:bitWho this book is forThis book is for anyone who wants to use the combination of MicroPython and the BBC Micro:bit for building exciting real-life projects. Engineers, researchers, hobbyists, and technology instructors working in areas such as embedded systems, electronics, software development, IoT, robotics, teaching, and training will find this book useful for building projects. Prior experience with building basic electronic circuits and any programming language, not necessarily MicroPython, will be helpful.
Salesforce Platform Enterprise Architecture: A must-read guide to help you architect and deliver packaged applications for enterprise needs, 4th Edition
by Andrew Fawcett Daniel J. PeterDeliver impressive enterprise-grade applications using the Salesforce Platform with the help of established architectural patterns and best developer practices.Key FeaturesUse the latest capabilities of the Salesforce Platform to code robust apps and web experiences, with an extended focus on Lightning Web ComponentsBranch out to Java, Node.js, and other languages with a new chapter exploring app development capabilities using Heroku and FunctionsExtend your application with access to external services following new coverage of OpenAPI enabled API servicesBook DescriptionSalesforce makes architecting enterprise grade applications easy and secure – but you'll need guidance to leverage its full capabilities and deliver top-notch products for your customers. This fourth edition brings practical guidance to the table, taking you on a journey through building and shipping enterprise-grade apps. This guide will teach you advanced application architectural design patterns such as separation of concerns, unit testing, and dependency injection. You'll also get to grips with Apex and fflib, create scalable services with Java, Node.js, and other languages using Salesforce Functions and Heroku, and find new ways to test Lightning UIs. These key topics, alongside a new chapter on exploring asynchronous processing features, are unique to this edition. You'll also benefit from an extensive case study based on how the Salesforce Platform delivers solutions. By the end of this Salesforce book, whether you are looking to publish the next amazing application on AppExchange or build packaged applications for your organization, you will be prepared with the latest innovations on the platform.What you will learnCreate and deploy packaged apps for your own business or for AppExchangeUnderstand Enterprise Application Architecture patternsCustomize the mobile and desktop user experience with Lightning Web ComponentsManage large data volumes with asynchronous processing and big data strategiesLearn how to go beyond the Apex language, and utilize Java and Node.js to scale your skills and code with Heroku and Salesforce FunctionsTest and optimize Salesforce Lightning UIsUse Connected Apps, External Services, and Objects along with AWS integration tools to access off platform code and data with your applicationWho this book is forIf you are a Salesforce developer who wants to unlock the true potential of the Salesforce platform and deliver complex, scalable applications within your company or for use in large enterprises you target through AppExchange, then you have come to the right place. You will need a solid foundation of Salesforce development to dive into this book – it is here to elevate your skills, not teach you the basics.
Hands-On Simulation Modeling with Python: Develop simulation models for improved efficiency and precision in the decision-making process, 2nd Edition
by Giuseppe CiaburroLearn to construct state-of-the-art simulation models with Python and enhance your simulation modelling skills, as well as create and analyze digital prototypes of physical models with easeKey FeaturesUnderstand various statistical and physical simulations to improve systems using PythonLearn to create the numerical prototype of a real model using hands-on examplesEvaluate performance and output results based on how the prototype would work in the real worldBook DescriptionSimulation modelling is an exploration method that aims to imitate physical systems in a virtual environment and retrieve useful statistical inferences from it. The ability to analyze the model as it runs sets simulation modelling apart from other methods used in conventional analyses. This book is your comprehensive and hands-on guide to understanding various computational statistical simulations using Python. The book begins by helping you get familiarized with the fundamental concepts of simulation modelling, that'll enable you to understand the various methods and techniques needed to explore complex topics. Data scientists working with simulation models will be able to put their knowledge to work with this practical guide. As you advance, you'll dive deep into numerical simulation algorithms, including an overview of relevant applications, with the help of real-world use cases and practical examples. You'll also find out how to use Python to develop simulation models and how to use several Python packages. Finally, you'll get to grips with various numerical simulation algorithms and concepts, such as Markov Decision Processes, Monte Carlo methods, and bootstrapping techniques.By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges.What you will learnGet to grips with the concept of randomness and the data generation processDelve into resampling methodsDiscover how to work with Monte Carlo simulationsUtilize simulations to improve or optimize systemsFind out how to run efficient simulations to analyze real-world systemsUnderstand how to simulate random walks using Markov chainsWho this book is forThis book is for data scientists, simulation engineers, and anyone who is already familiar with the basic computational methods and wants to implement various simulation techniques such as Monte-Carlo methods and statistical simulation using Python.
Becoming a Rockstar SRE: Electrify your site reliability engineering mindset to build reliable, resilient, and efficient systems
by Jeremy Proffitt Rod AnamiExcel in site reliability engineering by learning from field-driven lessons on observability and reliability in code, architecture, process, systems management, costs, and people to minimize downtime and enhance developers' outputPurchase of the print or Kindle book includes a free eBook in the PDF formatKey FeaturesUnderstand the goals of an SRE in terms of reliability, efficiency, and constant improvementMaster highly resilient architecture in server, serverless, and containerized workloadsLearn the why and when of employing Kubernetes, GitHub, Prometheus, Grafana, Terraform, Python, Argo CD, and GitOpsBook DescriptionSite reliability engineering is all about continuous improvement, finding the balance between business and product demands while working within technological limitations to drive higher revenue. But quantifying and understanding reliability, handling resources, and meeting developer requirements can sometimes be overwhelming. With a focus on reliability from an infrastructure and coding perspective, Becoming a Rockstar SRE brings forth the site reliability engineer (SRE) persona using real-world examples. This book will acquaint you the role of an SRE, followed by the why and how of site reliability engineering. It walks you through the jobs of an SRE, from the automation of CI/CD pipelines and reducing toil to reliability best practices. You'll learn what creates bad code and how to circumvent it with reliable design and patterns. The book also guides you through interacting and negotiating with businesses and vendors on various technical matters and exploring observability, outages, and why and how to craft an excellent runbook. Finally, you'll learn how to elevate your site reliability engineering career, including certifications and interview tips and questions. By the end of this book, you'll be able to identify and measure reliability, reduce downtime, troubleshoot outages, and enhance productivity to become a true rockstar SRE!What you will learnGet insights into the SRE role and its evolution, starting from Google's original visionUnderstand the key terms, such as golden signals, SLO, SLI, MTBF, MTTR, and MTTDOvercome the challenges in adopting site reliability engineeringEmploy reliable architecture and deployments with serverless, containerization, and release strategiesIdentify monitoring targets and determine observability strategyReduce toil and leverage root cause analysis to enhance efficiency and reliabilityRealize how business decisions can impact quality and reliabilityWho this book is forThis book is for IT professionals, including developers looking to advance into an SRE role, system administrators mastering technologies, and executives experiencing repeated downtime in their organizations. Anyone interested in bringing reliability and automation to their organization to drive down customer impact and revenue loss while increasing development throughput will find this book useful. A basic understanding of API and web architecture and some experience with cloud computing and services will assist with understanding the concepts covered.
Making Your CAM Journey Easier with Fusion 360: Learn the basics of turning, milling, laser cutting, and 3D printing
by Fabrizio CimoTurn your design ideas into 3D models using Fusion 360 by honing your design skills and learning the best practices of common production technologiesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesGet familiar with Fusion 360 CAM Module and its machining potential with hands-on exercisesExplore major production technologies like turning, milling, laser cutting, and additive manufacturingLearn how to setup your program and simulate stock removalBook DescriptionDownloading a piece of 3D software and shaping concepts and ideas is quite easy. However, designing feasible and cost-effective real parts from 3D models can be challenging with traditional production technologies, or even additive manufacturing. This book will give you the know-how and skills to develop your projects from ideas to physical products, and overcome these obstacles.In 'Making Your CAM Journey Easier with Fusion 360', you'll discover how to set up a CAM program, pick the right tool, and optimize production. You'll learn the pros and cons of different production technologies, including turning, milling, laser cutting, and 3D printing, and understand how to choose the best option based on your needs. You'll also explore the important computer-aided manufacturing tools that Fusion 360 offers through the use of examples and best practices.By the end of this book, you'll understand the potential issues and drawbacks of different design components and apply workarounds to avoid design flaws.What you will learnChoose the best approach for different parts and shapesAvoid design flaws from a manufacturing perspectiveDiscover the different machining strategiesUnderstand how different tool geometries can influence machining resultsDiscover how to check the tool simulation for errorsUnderstand possible fixtures for raw material blocksBecome proficient in optimizing parameters for your machineExplore machining theory and formulas to evaluate cutting parametersWho this book is forThis book is for 3D enthusiasts or mechanical designers looking to turn their design ideas into 3D models, and their 3D models into final products. Familiarity with any CAD software or Fusion 360 design module is recommended; the book will then teach you the rest.
Configuring Windows Server Hybrid Advanced Services Exam Ref AZ-801: Configure advanced Windows Server services for on-premises, hybrid, and cloud environments
by Chris Gill Shannon KuehnAce the AZ 801 exam and master advanced Windows Server and Infrastructure-as-a-Service workload administration with this comprehensive guidePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesGain practical knowledge to conquer the AZ-801 certification and tackle real-world challengesLearn to secure Windows Server in on-premises and hybrid infrastructuresLeverage hands-on examples to monitor and troubleshoot Windows Server environmentsBook DescriptionConfiguring Windows Server Hybrid Advanced Services Exam Ref AZ-801 helps you master various cloud and data center management concepts in detail, helping you grow your expertise in configuring and managing Windows Server in on-premises, hybrid, and cloud-based workloads. Throughout the book, you'll cover all the topics needed to pass the AZ-801 exam and use the skills you acquire to advance in your career.With this book, you'll learn how to secure your on-premises Windows Server resources and Azure IaaS workloads. First, you'll explore the potential vulnerabilities of your resources and learn how to fix or mitigate them. Next, you'll implement high availability Windows Server virtual machine workloads with Hyper-V Replica, Windows Server Failover Clustering, and Windows File Server.You'll implement disaster recovery and server migration of Windows Server in on-premises and hybrid environments. You'll also learn how to monitor and troubleshoot Windows Server environments.By the end of this book, you'll have gained the knowledge and skills required to ace the AZ-801 exam, and you'll have a handy, on-the-job desktop reference guide.What you will learnUnderstand the core exam objectives and successfully pass the AZ-801 examSecure Windows Server for on-premises and hybrid infrastructures using security best practicesImplement, manage, and monitor Windows Server high availability features successfullyConfigure and implement disaster recovery services using Hyper-V features, Azure Recovery Services, and Azure Site RecoveryExplore how to migrate various servers, workloads, and tools from previous versions of Windows Server to 2022Monitor and troubleshoot Windows Server environments in both on-premises and cloud workloads using Windows Server tools, Windows Admin Center, and Azure servicesWho this book is forThis book is for Cloud and Datacenter Management administrators and engineers, Enterprise Architects, Microsoft 365 Administrators, Network Engineers, and anyone seeking to gain additional working knowledge with Windows Server operating systems and managing on-premises, hybrid and cloud workloads with administrative tools. To get started, you'll need to have a basic understanding of how to configure advanced Windows Server services utilizing existing on-premises technology in combination with hybrid and cloud technologies.
Software Test Design: Write comprehensive test plans to uncover critical bugs in web, desktop, and mobile apps
by Simon AmeyA guide to writing comprehensive test plans covering exploratory testing and feature specification; black and white box testing; security, usability, and maintainability; and load and stress testingKey FeaturesCover all key forms of testing for modern applications systematicallyUnderstand anti-patterns and pitfalls in system design with the help of practical examplesLearn the strengths and weaknesses of different forms of testing and how to combine them effectivelyBook DescriptionSoftware Test Design details best practices for testing software applications and writing comprehensive test plans. Written by an expert with over twenty years of experience in the high-tech industry, this guide will provide you with training and practical examples to improve your testing skills. Thorough testing requires a thorough understanding of the functionality under test, informed by exploratory testing and described by a detailed functional specification. This book is divided into three sections, the first of which will describe how best to complete those tasks to start testing from a solid foundation. Armed with the feature specification, functional testing verifies the visible behavior of features by identifying equivalence partitions, boundary values, and other key test conditions. This section explores techniques such as black- and white-box testing, trying error cases, finding security weaknesses, improving the user experience, and how to maintain your product in the long term. The final section describes how best to test the limits of your application. How does it behave under failure conditions and can it recover? What is the maximum load it can sustain? And how does it respond when overloaded? By the end of this book, you will know how to write detailed test plans to improve the quality of your software applications.What you will learnUnderstand how to investigate new features using exploratory testingDiscover how to write clear, detailed feature specifi cationsExplore systematic test techniques such as equivalence partitioningUnderstand the strengths and weaknesses of black- and white-box testingRecognize the importance of security, usability, and maintainability testingVerify application resilience by running destructive testsRun load and stress tests to measure system performanceWho this book is forThis book is for anyone testing software projects for mobile, web, or desktop applications. That includes Dedicated QA engineers managing software quality, Test and test automation engineers writing formal test plans, Test and QA managers running teams responsible for testing, Product owners responsible for product delivery, and Developers who want to improve the testing of their code.
Graph Data Science with Neo4j: Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project
by Estelle ScifoSupercharge your data with the limitless potential of Neo4j 5, the premier graph database for cutting-edge machine learningPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExtract meaningful information from graph data with Neo4j's latest version 5Use Graph Algorithms into a regular Machine Learning pipeline in PythonLearn the core principles of the Graph Data Science Library to make predictions and create data science pipelines.Book DescriptionNeo4j, along with its Graph Data Science (GDS) library, is a complete solution to store, query, and analyze graph data. As graph databases are getting more popular among developers, data scientists are likely to face such databases in their career, making it an indispensable skill to work with graph algorithms for extracting context information and improving the overall model prediction performance.Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and practical instructions for implementing data science techniques on graph data using the latest Neo4j version 5 and its associated libraries. You'll start by querying Neo4j with Cypher and learn how to characterize graph datasets. As you get the hang of running graph algorithms on graph data stored into Neo4j, you'll understand the new and advanced capabilities of the GDS library that enable you to make predictions and write data science pipelines. Using the newly released GDSL Python driver, you'll be able to integrate graph algorithms into your ML pipeline.By the end of this book, you'll be able to take advantage of the relationships in your dataset to improve your current model and make other types of elaborate predictions.What you will learnUse the Cypher query language to query graph databases such as Neo4jBuild graph datasets from your own data and public knowledge graphsMake graph-specific predictions such as link predictionExplore the latest version of Neo4j to build a graph data science pipelineRun a scikit-learn prediction algorithm with graph dataTrain a predictive embedding algorithm in GDS and manage the model storeWho this book is forIf you're a data scientist or data professional with a foundation in the basics of Neo4j and are now ready to understand how to build advanced analytics solutions, you'll find this graph data science book useful. Familiarity with the major components of a data science project in Python and Neo4j is necessary to follow the concepts covered in this book.
Windows Server Automation with PowerShell Cookbook: Powerful ways to automate, manage and administrate Windows Server 2022 using PowerShell 7.2, 5th Edition
by Thomas LeeUse over 100 PowerShell 7.2 recipes to deepen your understanding of Windows Server 2022 and see how to automate common administrative tasks with easePurchase of the print or Kindle book includes a free eBook in PDF formatKey FeaturesNew edition updated to the latest version of PowerShell 7.2 and Windows Server 2022Discover new ways to optimize your PowerShell code by working through easy-to-follow recipesLearn PowerShell best practices to automate common tasks and manage DHCP in Microsoft Windows Server, objects in Active Directory, Hyper-V, and AzureBook DescriptionThe Windows Server Automation with PowerShell Cookbook is back with a new edition, featuring over 100 PowerShell recipes that will make your day-to-day work easier. This book is designed to help you learn how to install, configure and use PowerShell 7.2 effectively.To start with, we'll look at how to install and configure PowerShell 7.2, along with useful new features and optimizations, and show you how the PowerShell compatibility solution bridges the gap to older versions of PowerShell. We'll also be covering a wide range of fundamental and more advanced use cases, including how to create a VM and set up an Azure VPN, as well as looking at how to back up to Azure. As you progress, you'll explore topics such as using PowerShell to manage networking and DHCP in Windows Server, objects in Active Directory, Hyper-V, and Azure. We'll also take a closer look at WSUS, containers and see how to handle modules that are not directly compatible with PowerShell 7. Finally, you'll also learn how to use some powerful tools to diagnose and resolve issues with Windows Server.By the end of this PowerShell book, you'll know how to use PowerShell 7.2 to automate tasks on Windows Server 2022 with ease, helping your Windows environment to run faster and smoother.What you will learnPerform key admin tasks on Windows ServerKeep your organization secure with JEA, group policies, logs, and Windows DefenderUse .NET Framework for administrative scriptingManage data and storage on Windows, including disks, volumes, and filesystemsReport system performance using built-in cmdlets and WMI to obtain single measurementsApply the right tools and modules to troubleshoot and debug Windows ServerCreate, manage, and back up a second VM using the subnetwork in AzureLearn how to set up a VPN in Azure with PowerShellWho this book is forThis book is for systems administrators, software architects, developers, consultants, and engineers working with Windows Server 2022 who want to automate tasks more effectively with PowerShell 7.2. You'll need to have conquered the basics of PowerShell and have a rudimentary understanding of PowerShell scripting before you can get started with this book.
Microsoft Defender for Endpoint in Depth: Take any organization's endpoint security to the next level
by Paul Huijbregts Joe Anich Justen GravesA comprehensive guide to building a deeper understanding of the product, its capabilities, and successful implementationPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesUnderstand the history of MDE, its capabilities, and how you can keep your organization secureLearn to implement, operationalize, and troubleshoot MDE from both IT and SecOps perspectivesLeverage useful commands, tips, tricks, and real-world insights shared by industry expertsBook DescriptionWith all organizational data and trade secrets being digitized, the threat of data compromise, unauthorized access, and cyberattacks has increased exponentially. Microsoft Defender for Endpoint (MDE) is a market-leading cross-platform endpoint security solution that enables you to prevent, detect, investigate, and respond to threats. MDE helps strengthen the security posture of your organization.This book starts with a history of the product and a primer on its various features. From prevention to attack surface reduction, detection, and response, you'll learn about the features, their applicability, common misconceptions, and caveats. After planning, preparation, deployment, and configuration toward successful implementation, you'll be taken through a day in the life of a security analyst working with the product. You'll uncover common issues, techniques, and tools used for troubleshooting along with answers to some of the most common challenges cybersecurity professionals face. Finally, the book will wrap up with a reference guide with tips and tricks to maintain a strong cybersecurity posture.By the end of the book, you'll have a deep understanding of Microsoft Defender for Endpoint and be well equipped to keep your organization safe from different forms of cyber threats.What you will learnUnderstand the backstory of Microsoft Defender for EndpointDiscover different features, their applicability, and caveatsPrepare and plan a rollout within an organizationExplore tools and methods to successfully operationalize the productImplement continuous operations and improvement to your security postureGet to grips with the day-to-day of SecOps teams operating the productDeal with common issues using various techniques and toolsUncover commonly used commands, tips, and tricksWho this book is forThis book is for cybersecurity professionals and incident responders looking to increase their knowledge of MDE and its underlying components while learning to prepare, deploy, and operationalize the product. A basic understanding of general systems management, administration, endpoint security, security baselines, and basic networking is required.
Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models, 2nd Edition
by Soledad GalliCreate end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python librariesKey FeaturesLearn and implement feature engineering best practicesReinforce your learning with the help of multiple hands-on recipesBuild end-to-end feature engineering pipelines that are performant and reproducibleBook DescriptionFeature engineering, the process of transforming variables and creating features, albeit time-consuming, ensures that your machine learning models perform seamlessly. This second edition of Python Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes.This updated edition begins by addressing fundamental data challenges such as missing data and categorical values, before moving on to strategies for dealing with skewed distributions and outliers. The concluding chapters show you how to develop new features from various types of data, including text, time series, and relational databases. With the help of numerous open source Python libraries, you'll learn how to implement each feature engineering method in a performant, reproducible, and elegant manner.By the end of this Python book, you will have the tools and expertise needed to confidently build end-to-end and reproducible feature engineering pipelines that can be deployed into production.What you will learnImpute missing data using various univariate and multivariate methodsEncode categorical variables with one-hot, ordinal, and count encodingHandle highly cardinal categorical variablesTransform, discretize, and scale your variablesCreate variables from date and time with pandas and Feature-engineCombine variables into new featuresExtract features from text as well as from transactional data with FeaturetoolsCreate features from time series data with tsfreshWho this book is forThis book is for machine learning and data science students and professionals, as well as software engineers working on machine learning model deployment, who want to learn more about how to transform their data and create new features to train machine learning models in a better way.
Machine Learning Security Principles: Keep data, networks, users, and applications safe from prying eyes
by John Paul Mueller Rod Stephens Alberto Di MeglioThwart hackers by preventing, detecting, and misdirecting access before they can plant malware, obtain credentials, engage in fraud, modify data, poison models, corrupt users, eavesdrop, and otherwise ruin your dayKey FeaturesDiscover how hackers rely on misdirection and deep fakes to fool even the best security systemsRetain the usefulness of your data by detecting unwanted and invalid modificationsDevelop application code to meet the security requirements related to machine learningBook DescriptionBusinesses are leveraging the power of AI to make undertakings that used to be complicated and pricy much easier, faster, and cheaper. The first part of this book will explore these processes in more depth, which will help you in understanding the role security plays in machine learning.As you progress to the second part, you'll learn more about the environments where ML is commonly used and dive into the security threats that plague them using code, graphics, and real-world references.The next part of the book will guide you through the process of detecting hacker behaviors in the modern computing environment, where fraud takes many forms in ML, from gaining sales through fake reviews to destroying an adversary's reputation. Once you've understood hacker goals and detection techniques, you'll learn about the ramifications of deep fakes, followed by mitigation strategies.This book also takes you through best practices for embracing ethical data sourcing, which reduces the security risk associated with data. You'll see how the simple act of removing personally identifiable information (PII) from a dataset lowers the risk of social engineering attacks.By the end of this machine learning book, you'll have an increased awareness of the various attacks and the techniques to secure your ML systems effectively.What you will learnExplore methods to detect and prevent illegal access to your systemImplement detection techniques when access does occurEmploy machine learning techniques to determine motivationsMitigate hacker access once security is breachedPerform statistical measurement and behavior analysisRepair damage to your data and applicationsUse ethical data collection methods to reduce security risksWho this book is forWhether you're a data scientist, researcher, or manager working with machine learning techniques in any aspect, this security book is a must-have. While most resources available on this topic are written in a language more suitable for experts, this guide presents security in an easy-to-understand way, employing a host of diagrams to explain concepts to visual learners. While familiarity with machine learning concepts is assumed, knowledge of Python and programming in general will be useful.
The Python Workshop: Write Python code to solve challenging real-world problems, 2nd Edition
by Corey Wade Mario Corchero Jimenez Andrew Bird Dr. Lau Han Graham LeeGain proficiency, productivity, and power by working on projects and kick-starting your career in Python with this comprehensive, hands-on guide.Key FeaturesUnderstand and utilize Python syntax, objects, methods, and best practicesExplore Python's many features and libraries through real-world problems and big dataUse your newly acquired Python skills in machine learning as well as web and software developmentBook DescriptionPython is among the most popular programming languages in the world. It's ideal for beginners because it's easy to read and write, and for developers, because it's widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed.This project-based course has been designed by a team of expert authors to get you up and running with Python. You'll work though engaging projects that'll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact.By completing the course from start to finish, you'll walk away feeling capable of tackling any real-world Python development problem.What you will learnWrite efficient and concise functions using core Python methods and librariesBuild classes to address different business needsCreate visual graphs to communicate key data insightsOrganize big data and use machine learning to make regression and classification predictionsDevelop web pages and programs with Python tools and packagesAutomate essential tasks using Python scripts in real-time executionWho this book is forThis book is for professionals, students, and hobbyists who want to learn Python and apply it to solve challenging real-world problems. Although this is a beginner's course, you'll learn more easily if you already have an understanding of standard programming topics like variables, if-else statements, and functions. Experience with another object-oriented program, though not essential, will also be beneficial. If Python is your first attempt at computer programming, this book will help you understand the basics with adequate detail for a motivated student.
Implementing Cellular IoT Solutions for Digital Transformation: Successfully develop, deploy, and maintain LTE and 5G enterprise IoT systems
by Dennis McCain Cameron CourseyA pragmatic handbook on IoT technologies and markets that will guide you in implementing cellular IoT solutions as part of an enterprise's digital transformation affecting both operational cost savings and new business models.Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesUnderstand all the critical aspects of a cellular IoT solution with this practical guideIdentify key enterprise IoT market requirements and IoT business casesDevelop robust end-to-end cellular IoT solutions with the help of best practices and case studiesBook DescriptionEven if you're an IoT technology manager with a sound understanding of wireless local area network technologies like Wi-Fi and Bluetooth, you may face many unique challenges when implementing a wireless wide area network (WWAN) IoT solution with cellular technologies with respect to choosing the optimal IoT device, cellular connectivity, and architecture. To help you overcome such roadblocks, this digital transformation book guides you in implementing a robust, end-to-end cellular IoT solution using best practices for all aspects of managing the IoT solution.Starting with an introduction to the top IoT markets and solutions in the context of an enterprise's digital transformation, this book will show you how this leads to cost savings and new business models. You'll grasp all you need to know about the IoT system components, life cycle, and best practices for implementing an IoT solution. While the book explains all the leading IoT wireless technologies, the focus is on LTE and 5G cellular technologies. With a review of real-world cellular IoT solution case studies and future IoT trends, you'll be ready to work with wireless IoT technologies, devices, and architectures.By the end of this book, you'll be able to identify the best wireless technologies for your IoT use cases and successfully implement cellular IoT solutions addressing key issues in the solution life cycle.What you will learnUnderstand how IoT enables an enterprise's digital transformationDiscover the applications of various IoT wireless technologiesExplore IoT devices, architectures, and real-world use casesDive deep into LTE and 5G cellular technologies and how they enable IoTBuild a privacy and security framework in an IoT solutionSelect the best components for a cellular IoT enterprise solutionOvercome challenges in the IoT solution life cycleExamine new cellular IoT technologies, trends, and business modelsWho this book is forThis book is for IoT technology managers, leaders, C-suite executives, and decision-makers considering or currently developing IoT solutions based on wireless/cellular technologies such as LTE and 5G. You'll be able to make the most of this book if you understand the importance of IoT connectivity in the context of its applications.
The StatQuest Illustrated Guide to Machine Learning!!!: Master the concepts, one full-color picture at a time, from the basics all the way to neural networks. BAM!
by Josh Starmer PhDWith over 300 pages of easy to follow, step-by-step illustrations, everyone can understand Machine Learning from the basics to advanced topics like neural networksKey FeaturesFully illustrated in color and written in the style of a graphic novel. BAM!Every concept is taught with a very gentle learning curve. DOUBLE BAM!!Every page is labeled as Main Ideas or Details, and you can focus on one, or the other, or both. TRIPLE BAM!!!Book DescriptionMachine Learning is awesome and powerful, but it can also appear incredibly complicated. That's where The StatQuest Illustrated Guide to Machine Learning comes in. This book takes the machine learning algorithms, no matter how complicated, and breaks them down into small, bite-sized pieces that are easy to understand. Each concept is clearly illustrated to provide you, the reader, with an intuition about how the methods work that goes beyond the equations alone. The StatQuest Illustrated Guide does not dumb down the concepts. Instead, it builds you up so that you are smarter and have a deeper understanding of Machine Learning.The StatQuest Illustrated Guide to Machine Learning starts with the basics, showing you what machine learning is and what are its goals, and builds on those, one picture at a time, until you have mastered the concepts behind self driving cars and facial recognition.What you will learnMaster the fundamentals to use, optimize and evaluate machine learningDevelop an intuition for fundamental statistics conceptsApply Statistical distributions, R-squared, p-values to your ML modelsGain deep insight into the building blocks like Gradient DescentVisualize machine learning methods, including Neural NetworksLearn about the limitations of machine learningWho this book is forThe StatQuest Illustrated Guide To Machine Learning is a great starting point for anyone who wants to get into the field of Machine Learning. It also serves as the perfect reference for seasoned practitioners who need to review key concepts for an upcoming job interview.For beginners, the illustrations and step-by-step approach ensure that the learning curve is as gentle as possible.For experts, the depth each topic is explored and the visualizations ensure “I finally understand!” moments occur in each chapter.
Effective Concurrency in Go: Develop, analyze, and troubleshoot high performance concurrent applications with ease
by Burak SerdarGain a deep understanding of concurrency and learn how to leverage concurrent algorithms to build high-throughput data processing applications, network servers and clients that scale.Key FeaturesLearn about the Go concurrency primitives, Go memory model, and common concurrency patternsDevelop the insights on how to model solutions to real-life problems using concurrencyExplore practical techniques to analyze how concurrent programs behaveBook DescriptionThe Go language has been gaining momentum due to its treatment of concurrency as a core language feature, making concurrent programming more accessible than ever. However, concurrency is still an inherently difficult skill to master, since it requires the development of the right mindset to decompose problems into concurrent components correctly. This book will guide you in deepening your understanding of concurrency and show you how to make the most of its advantages. You'll start by learning what guarantees are offered by the language when running concurrent programs. Through multiple examples, you will see how to use this information to develop concurrent algorithms that run without data races and complete successfully. You'll also find out all you need to know about multiple common concurrency patterns, such as worker pools, asynchronous pipelines, fan-in/fan-out, scheduling periodic or future tasks, and error and panic handling in goroutines. The central theme of this book is to give you, the developer, an understanding of why concurrent programs behave the way they do, and how they can be used to build correct programs that work the same way in all platforms. By the time you finish the final chapter, you'll be able to develop, analyze, and troubleshoot concurrent algorithms written in Go.What you will learnUnderstand basic concurrency concepts and problemsLearn about Go concurrency primitives and how they workLearn about the Go memory model and why it is importantUnderstand how to use common concurrency patternsSee how you can deal with errors in a concurrent programDiscover useful techniques for troubleshootingWho this book is forIf you are a developer with basic knowledge of Go and are looking to gain expertise in highly concurrent backend application development, then this book is for you. Intermediate Go developers who want to make their backend systems more robust and scalable will also find plenty of useful information. Prior exposure Go is a prerequisite.