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Functional Programming in Go: Apply functional techniques in Golang to improve the testability, readability, and security of your code
by Dylan MeeusLeverage core functional programming (FP) concepts to write more maintainable and testable code in GoPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn functional programming techniques at the architectural level and use them to solve real-world problemsUnderstand how to think about code functionallyLearn about the trade-offs of functional programming and object-oriented programming (OOP) in GoBook DescriptionWhile Go is a multi-paradigm language that gives you the option to choose whichever paradigm works best for the particular problem you aim to solve, it supports features that enable you to apply functional principles in your code. In this book, you'll learn about concepts central to the functional programming paradigm and how and when to apply functional programming techniques in Go.Starting with the basic concepts of functional programming, this Golang book will help you develop a deeper understanding of first-class functions. In the subsequent chapters, you'll gain a more comprehensive view of the techniques and methods used in functional languages, such as function currying, partial application, and higher-order functions. You'll then be able to apply functional design patterns for solving common programming challenges and explore how to apply concurrency mechanisms to functional programming.By the end of this book, you'll be ready to improve your code bases by applying functional programming techniques in Go to write cleaner, safer, and bug-free code.What you will learnGain a deeper understanding of functional programming through practical examplesBuild a solid foundation in core FP concepts and see how they apply to Go codeDiscover how FP can improve the testability of your code baseApply functional design patterns for problem solvingUnderstand when to choose and not choose FP conceptsDiscover the benefits of functional programming when dealing with concurrent codeWho this book is forIf you are a Go engineer with a background in traditionally object-oriented languages such as Java or C++ and want to broaden your knowledge of functional programming, this book is for you.
Comet for Data Science: Enhance your ability to manage and optimize the life cycle of your data science project
by Angelica Lo Duca Gideon MendelsGain the key knowledge and skills required to manage data science projects using CometKey FeaturesDiscover techniques to build, monitor, and optimize your data science projectsMove from prototyping to production using Comet and DevOps toolsGet to grips with the Comet experimentation platformBook DescriptionThis book provides concepts and practical use cases which can be used to quickly build, monitor, and optimize data science projects. Using Comet, you will learn how to manage almost every step of the data science process from data collection through to creating, deploying, and monitoring a machine learning model.The book starts by explaining the features of Comet, along with exploratory data analysis and model evaluation in Comet. You'll see how Comet gives you the freedom to choose from a selection of programming languages, depending on which is best suited to your needs. Next, you will focus on workspaces, projects, experiments, and models. You will also learn how to build a narrative from your data, using the features provided by Comet. Later, you will review the basic concepts behind DevOps and how to extend the GitLab DevOps platform with Comet, further enhancing your ability to deploy your data science projects. Finally, you will cover various use cases of Comet in machine learning, NLP, deep learning, and time series analysis, gaining hands-on experience with some of the most interesting and valuable data science techniques available.By the end of this book, you will be able to confidently build data science pipelines according to bespoke specifications and manage them through Comet.What you will learnPrepare for your project with the right dataUnderstand the purposes of different machine learning algorithmsGet up and running with Comet to manage and monitor your pipelinesUnderstand how Comet works and how to get the most out of itSee how you can use Comet for machine learningDiscover how to integrate Comet with GitLabWork with Comet for NLP, deep learning, and time series analysisWho this book is forThis book is for anyone who has programming experience, and wants to learn how to manage and optimize a complete data science lifecycle using Comet and other DevOps platforms. Although an understanding of basic data science concepts and programming concepts is needed, no prior knowledge of Comet and DevOps is required.
Automated Testing in Microsoft Dynamics 365 Business Central: Efficiently automate test cases for faster development cycles with less time needed for manual testing, 2nd Edition
by Luc van VugtLearn how to write automated tests for Dynamics 365 Business Central and discover how you can implement them in your daily workKey FeaturesLeverage automated testing to advance over traditional manual testing methodsWrite, design, and implement automated testsExplore various testing frameworks and tools compatible with Microsoft Dynamics 365 Business CentralBook DescriptionDynamics 365 Business Central is a cloud-based SaaS ERP proposition from Microsoft. With development practices becoming more formal, implementing changes or new features is not as simple as it used to be back when Dynamics 365 Business Central was called Navigator, Navision Financials, or Microsoft Business Solutions-Navision, and the call for test automation is increasing.This book will show you how to leverage the testing tools available in Dynamics 365 Business Central to perform automated testing. Starting with a quick introduction to automated testing and test-driven development (TDD), you'll get an overview of test automation in Dynamics 365 Business Central. You'll then learn how to design and build automated tests and explore methods to progress from requirements to application and testing code. Next, you'll find out how you can incorporate your own as well as Microsoft tests into your development practice. With the addition of three new chapters, this second edition covers in detail how to construct complex scenarios, write testable code, and test processes with incoming and outgoing calls.By the end of this book, you'll be able to write your own automated tests for Microsoft Business Central.What you will learnUnderstand the why and when of automated testingDiscover how test-driven development can help to improve automated testingExplore the six pillars of the Testability Framework of Business CentralDesign and write automated tests for Business CentralMake use of standard automated tests and their helper librariesUnderstand the challenges in testing features that interact with the external worldIntegrate automated tests into your development practiceWho this book is forThis book is for consultants, testers, developers, and development managers working with Microsoft Dynamics 365 Business Central. Functional as well as technical development teams will find this book on automated testing techniques useful.
Mastering Roblox Coding: The unofficial guide to leveling up your Roblox scripting skills and building games using Luau programming
by Mark KiepeDiscover how to build enhanced feature-filled games using the power of Luau programming by getting hands-on with creating a complete end-to-end game using Roblox StudioKey FeaturesLeverage the tips and tricks covered in this game development book for writing advanced Roblox scriptsExplore the capabilities of Roblox Luau to create complex games using user input, datastores, and user interfaces for all devicesEach subject contains an additional exercise for the reader to experimentBook DescriptionRoblox is a game platform with over 47 million daily active users. Something unique to Roblox is that you're playing games made by other gamers! This means that you can make your own games, even if you have no experience. In addition, Roblox provides a free engine that allows you to create and publish a simple game in less than five minutes and get paid while at it.Most Roblox games require programming. This book starts with the basics of programming in Roblox Luau. Each chapter builds on the previous one, which eventually results in you mastering programming concepts in Lua. Next, the book teaches you complex technologies that you can implement in your game. Each concept is explained clearly and uses simple examples that show you how the technology is being used. This book contains additional exercises for you to experiment with the concepts you've learned. Using best practices, you will understand how to write and build complex systems such as databases, user input controls, and all device user interfaces. In addition, you will learn how to build an entire game from scratch.By the end of this book, you will be able to program complex systems in Roblox from the ground up by learning how to write code using Luau and create optimized code.What you will learnUnderstand and learn the basics of Roblox LuauDiscover how to write efficient and optimized Luau code to avoid bad smellsExplore how to optimize your game for PC, consoles, phones, and tabletsGet up to speed with how to build databases using LuauUnderstand client and server functionalities and learn how to securely establish communicationDiscover how to build an advanced Roblox game from scratchWho this book is forThis book is for fairly experienced Roblox developers who have basic programming knowledge and want to take their skills to the next level with advanced concepts in a simple and effective way. Basic knowledge of Roblox, Roblox Studio, and Roblox Luau is recommended before getting started with this book. A short refresher is provided for those who have not used Roblox in a while.
CompTIA CASP+ CAS-004 Certification Guide: Develop CASP+ skills and learn all the key topics needed to prepare for the certification exam
by Mark BirchArchitect, engineer, integrate, and implement security across increasingly complex, hybrid enterprise networksKey FeaturesLearn how to apply industry best practices and earn the CASP+ certificationExplore over 400 CASP+ questions to test your understanding of key concepts and help you prepare for the examDiscover over 300 illustrations and diagrams that will assist you in understanding advanced CASP+ conceptsBook DescriptionCompTIA Advanced Security Practitioner (CASP+) ensures that security practitioners stay on top of the ever-changing security landscape. The CompTIA CASP+ CAS-004 Certification Guide offers complete, up-to-date coverage of the CompTIA CAS-004 exam so you can take it with confidence, fully equipped to pass on the first attempt.Written in a clear, succinct way with self-assessment questions, exam tips, and mock exams with detailed explanations, this book covers security architecture, security operations, security engineering, cryptography, governance, risk, and compliance. You'll begin by developing the skills to architect, engineer, integrate, and implement secure solutions across complex environments to support a resilient enterprise. Moving on, you'll discover how to monitor and detect security incidents, implement incident response, and use automation to proactively support ongoing security operations. The book also shows you how to apply security practices in the cloud, on-premises, to endpoints, and to mobile infrastructure. Finally, you'll understand the impact of governance, risk, and compliance requirements throughout the enterprise.By the end of this CASP study guide, you'll have covered everything you need to pass the CompTIA CASP+ CAS-004 certification exam and have a handy reference guide.What you will learnUnderstand Cloud Security Alliance (CSA) and the FedRAMP programsRespond to Advanced Persistent Threats (APT) by deploying hunt teamsUnderstand the Cyber Kill Chain framework as well as MITRE ATT&CK and Diamond ModelsDeploy advanced cryptographic solutions using the latest FIPS standardsUnderstand compliance requirements for GDPR, PCI, DSS, and COPPASecure Internet of Things (IoT), Industrial control systems (ICS), and SCADAPlan for incident response and digital forensics using advanced toolsWho this book is forThis CompTIA book is for CASP+ CAS-004 exam candidates who want to achieve CASP+ certification to advance their career. Security architects, senior security engineers, SOC managers, security analysts, IT cybersecurity specialists/INFOSEC specialists, and cyber risk analysts will benefit from this book. Experience in an IT technical role or CompTIA Security+ certification or equivalent is assumed.
Automated Machine Learning on AWS: Fast-track the development of your production-ready machine learning applications the AWS way
by Trenton Potgieter Jonathan DahlbergAutomate the process of building, training, and deploying machine learning applications to production with AWS solutions such as SageMaker Autopilot, AutoGluon, Step Functions, Amazon Managed Workflows for Apache Airflow, and moreKey FeaturesExplore the various AWS services that make automated machine learning easierRecognize the role of DevOps and MLOps methodologies in pipeline automationGet acquainted with additional AWS services such as Step Functions, MWAA, and more to overcome automation challengesBook DescriptionAWS provides a wide range of solutions to help automate a machine learning workflow with just a few lines of code. With this practical book, you'll learn how to automate a machine learning pipeline using the various AWS services. Automated Machine Learning on AWS begins with a quick overview of what the machine learning pipeline/process looks like and highlights the typical challenges that you may face when building a pipeline. Throughout the book, you'll become well versed with various AWS solutions such as Amazon SageMaker Autopilot, AutoGluon, and AWS Step Functions to automate an end-to-end ML process with the help of hands-on examples. The book will show you how to build, monitor, and execute a CI/CD pipeline for the ML process and how the various CI/CD services within AWS can be applied to a use case with the Cloud Development Kit (CDK). You'll understand what a data-centric ML process is by working with the Amazon Managed Services for Apache Airflow and then build a managed Airflow environment. You'll also cover the key success criteria for an MLSDLC implementation and the process of creating a self-mutating CI/CD pipeline using AWS CDK from the perspective of the platform engineering team. By the end of this AWS book, you'll be able to effectively automate a complete machine learning pipeline and deploy it to production.What you will learnEmploy SageMaker Autopilot and Amazon SageMaker SDK to automate the machine learning processUnderstand how to use AutoGluon to automate complicated model building tasksUse the AWS CDK to codify the machine learning processCreate, deploy, and rebuild a CI/CD pipeline on AWSBuild an ML workflow using AWS Step Functions and the Data Science SDKLeverage the Amazon SageMaker Feature Store to automate the machine learning software development life cycle (MLSDLC)Discover how to use Amazon MWAA for a data-centric ML processWho this book is forThis book is for the novice as well as experienced machine learning practitioners looking to automate the process of building, training, and deploying machine learning-based solutions into production, using both purpose-built and other AWS services. A basic understanding of the end-to-end machine learning process and concepts, Python programming, and AWS is necessary to make the most out of this book.
Filmora Efficient Editing: Create high-quality videos for any discipline from scratch using chroma keys, split screens, and audio
by Alexander ZachariasUnleash creativity in your next video editing project using Filmora, with key images printed in color to help you create videos of all genresKey FeaturesLearn how to create an animated intro from scratchEnhance videos with more than 800 stunning effects, animations, advanced filters, and much moreUse filters, transitions, and titles to make videos funBook DescriptionWhether you want to create short films, YouTube videos, music videos, or videos for any social event, Filmora is a powerful, innovative, and user-friendly video editing software that you can use for all this and much more!Filmora Efficient Editing is a comprehensive introduction for those who are new to video editing as well as those looking to transition to Filmora. The book starts by helping you develop an understanding of video editing and Filmora's interface and gradually takes you through adding sources and exporting your first project. Next, you'll learn how to make your videos engaging and fun using audio, personalization, the split-screen function, and Chroma keys. You'll understand how to plan as well as create your videos using Filmora from scratch. With simplified concepts, steps, and real-world editing examples, this book covers applications such as YouTube, animated intros, professional marketing videos, and industry-standard tips.By the end of this video editing book, you'll have learned how to use Filmora's powerful tools and functionality to create high-quality and professional videos from scratch.What you will learnNavigate Filmora's interface with easeAdd and manipulate audio using audio tracksCreate high-quality professional videos with advanced features in FilmoraUse split screens and Chroma keys to create movie magicCreate a gaming video and add humor to itUnderstand career prospects in the world of video editingWho this book is forThis book is for novice video editors looking to create YouTube videos or promotional videos for products or events, or someone looking to use Filmora in a professional setup. This book majorly focuses on the Windows OS, however, key bindings for Mac are also provided as Filmora works the same for Android and iOS. To get started with this book, all you need is a computer and the Filmora software.
PLC and HMI Development with Siemens TIA Portal: Develop PLC and HMI programs using standard methods and structured approaches with TIA Portal V17
by Liam BeeBecome well-versed with the tools available in the Siemens TIA toolbox and write PLC and HMI code effectivelyKey FeaturesFind out how to use TIA Portal effectively to boost your productivityLearn about a structured design pattern and understand why it is so powerful when implemented correctlyDiscover efficient project management and design practicesBook DescriptionWith automation requirements on the rise, Siemens' TIA Portal development environment is almost a necessity for any automation engineer. The Totally Integrated Automation (TIA) environment helps seamlessly integrate all things automation, from PLC hardware and software design to HMI development. This book helps you understand the tools available in the TIA toolbox and shows you how to write code effectively.The book begins by introducing you to the TIA environment, covering the layout and tools available. Once you've got to grips with the environment, you'll find out how to create hardware to write programs against, including adding IO modules and assigning memory for input and output. Next, you'll develop logic in all of the languages that TIA Portal offers, such as Ladder, Function Block Diagram, and Structured Text (SCL) (note that Statement List is not covered as a deprecated language), as well as the newest language, Cause and Effect (CEM). You'll also discover how to store standard code in libraries, creating a version control system that is easy to manage and aids standard design. Finally, following the PLC design chapters, you'll learn how to develop HMI applications in TIA Portal's latest unified hardware.By the end of the book, you'll be well equipped to use all of the features that TIA Portal V17 offers.What you will learnSet up a Siemens Environment with TIA PortalFind out how to structure a projectCarry out the simulation of a project, enhancing this further with structureDevelop HMI screens that interact with PLC dataMake the best use of all available languagesLeverage TIA Portal's tools to manage the deployment and modification of projectsWho this book is forThis TIA Portal book is for anybody looking to learn PLC/HMI development using the latest Siemens development platform. Industrial software engineers, PLC engineers, automation engineers, and electricians will be able to advance their skill set with this guide. A basic understanding of PLC principles such as PLC data types and basic objects such as function blocks and functions is necessary to get started.
Cross-Platform UIs with Flutter: Unlock the ability to create native multiplatform UIs using a single code base with Flutter 3
by Ryan Edge Alberto MiolaBuild a variety of dynamic projects and beautiful UIs as you explore the power of Flutter for the web, desktop, and mobileKey FeaturesDiscover state management solutions with InheritedWidget and the Provider packageCreate responsive and beautiful UIs with the Material and Cupertino librariesExplore animations, forms, gestures, and backend integration with SupabaseBook DescriptionFlutter is a UI toolkit for building beautiful, natively compiled applications for mobile, web, desktop, and embedded devices from a single code base. With Flutter, you can write your code once and run it anywhere using a single code base to target multiple platforms. This book is a comprehensive, project-based guide for new and emerging Flutter developers that will help empower you to build bulletproof applications.Once you start reading book, you'll quickly realize what sets Flutter apart from its competition and establish some of the fundamentals of the toolkit. As you work on various project applications, you'll understand just how easy Flutter is to use for building stunning UIs. This book covers navigation strategies, state management, advanced animation handling, and the two main UI design styles: Material and Cupertino. It'll help you extend your knowledge with good code practices, UI testing strategies, and CI setup to constantly keep your repository's quality at the highest level possible.By the end of this book, you'll feel confident in your ability to transfer the lessons from the example projects and build your own Flutter applications for any platform you wish.What you will learnCreate responsive and attractive UIs for any deviceGet to grips with caching and widget trees and learn some framework performance tipsManage state using Flutter's InheritedWidget systemOrchestrate the app flow with Navigator 1.0 and 2.0Explore the Material and Cupertino built-in themesBreathe life into your apps with animationsImprove code quality with golden tests, CI setup, and linter rulesWho this book is forThis book is for software developers with a good grasp of Flutter, who want to learn best practices and techniques for building clean, intuitive UIs using a single codebase for mobile and the web. Prior experience with Flutter, Dart, and object-oriented programming (OOP) will help you understand the concepts covered in the book.
Accelerate DevOps with GitHub: Enhance software delivery performance with GitHub Issues, Projects, Actions, and Advanced Security
by Michael Kaufmann Thomas Dohmke Donovan BrownTake your DevOps and DevSecOps game to the next level by leveraging the power of the GitHub toolset in practiceKey FeaturesRelease software faster and with confidenceIncrease your productivity by spending more time on software delivery and less on fixing bugs and administrative tasksDeliver high-quality software that is more stable, scalable, and secureBook DescriptionThis practical guide to DevOps uses GitHub as the DevOps platform and shows how you can leverage the power of GitHub for collaboration, lean management, and secure and fast software delivery. The chapters provide simple solutions to common problems, thereby helping teams that are already on their DevOps journey to further advance into DevOps and speed up their software delivery performance. From finding the right metrics to measure your success to learning from other teams' success stories without merely copying what they've done, this book has it all in one place. As you advance, you'll find out how you can leverage the power of GitHub to accelerate your value delivery – by making work visible with GitHub Projects, measuring the right metrics with GitHub Insights, using solid and proven engineering practices with GitHub Actions and Advanced Security, and moving to event-based and loosely coupled software architecture. By the end of this GitHub book, you'll have understood what factors influence software delivery performance and how you can measure your capabilities, thus realizing where you stand in your journey and how you can move forward.What you will learnEffectively measure software delivery performanceAdopt DevOps and lean management techniques in your teamsPlan, track, and visualize your work using GitHub Issues and ProjectsUse continuous delivery with GitHub Actions and PackagesScale quality through testing in production and chaos engineering“Shift left” security and secure your entire software supply chainUse DevSecOps practices with GitHub Advanced SecuritySecure your code with code scanning, secret scanning, and DependabotWho this book is forThis book is for developers, solutions architects, DevOps engineers, and SREs, as well as for engineering or product managers who want to enhance their software delivery performance. Whether you're new to DevOps, already have experience with GitHub Enterprise, or come from a platform such as Azure DevOps, Team Foundation Server, GitLab, Bitbucket, Puppet, Chef, or Jenkins but struggle to achieve maximum performance, you'll find this book beneficial.
The Ins and Outs of Azure VMware Solution: Deploy, configure, and manage an Azure VMware Solution environment
by D.H.L. (h.c.) JellowManage VMware workloads in Azure VMware Solution and enable hybrid connectivity between on-premises datacenters and Azure with this extensive guide focusing on best practices and use casesKey FeaturesExtend or migrate your existing VMware environment to Azure VMware Solution smoothlyDiscover best practices that are based on real customer experiencesJoin the cloud revolution by conducting the most suitable migration for your workloadsBook DescriptionOrganizations over the world are migrating partially or fully to the cloud, but with the whole slew of providers, tools, and platforms available, knowing where to start can be quite challenging. If you know Microsoft Azure VMware Solution, you know it is the quickest way to migrate to the cloud without needing application modernization or rework. You can retain the same VMware tools to manage your environment while moving to Azure. But how does it work? The Ins and Outs of Azure VMware Solution has the answer.This high-level, comprehensive yet concise guide to Azure VMware Solution starts by taking you through the architecture and its applicable use cases. It will help you hit the ground running by getting straight to the important steps: planning, deploying, configuring, and managing your Azure VMware Solution instance. You'll be able to extend your existing knowledge of Azure and VMware by covering advanced topics such as SRM and governance, setting up a hybrid connection to your on-premises datacenter, and scaling up using disk pools.By the end of the VMware book, you'll have gone over everything you need to transition to the cloud with ease using Azure VMware Solution.What you will learnGet to grips with the overall architecture of Azure VMware SolutionDiscover Enterprise-scale for Azure VMware SolutionDeploy an Azure VMware private cloud successfullyDeploy and configure HCX in Azure VMware SolutionConfigure NSX-T network segments with the NSX-T ManagerConfigure internet access, traffic inspection, and storage for AVSIntegrate Azure VMware Solution with Azure-native servicesUse governance to improve your cloud portfolioWho this book is forThis book is for VMware administrators, cloud solutions architects, and anyone interested in learning how to deploy and configure an AVS environment in Azure. Technology leaders who want to get out of the datacenter business or expand their on-premises datacenter into Microsoft Azure will also find this book useful. Familiarity with VMware solutions and a basic understanding of Azure networking is necessary to get started with this book.
Effective Platform Product Management: A product manager's guide to strategizing and executing the platform business model to expand the customer base
by Tabassum MemonDesign, strategize, and implement a proven roadmap for your platforms to scale your business across multiple channels that provide a seamless and intuitive user experienceKey FeaturesUnderstand the importance of platform business models and the difference between linear products and platformsExplore the end-to-end platform life cycle, from developing a strategy to measuring the outcomeDiscover the benefits of the platform business model and effective strategies through examplesBook DescriptionIn recent years, platform business models have revolutionized various industries, including retail and media. Companies such as Amazon, Netflix, and Spotify have changed how businesses reach out to their consumers. With the rise of these platforms and the increased use of technology, consumers prefer to search, explore, compare, and choose between different options within a single uninterrupted user experience. Providing such an experience is difficult and almost impossible when using linear models, and this is why modern businesses must adopt a platform-first approach to change how they invent, develop, and market solutions. This book addresses a critical pillar of platform development – product management. It'll help you to understand the difference between traditional and modern product management for platforms while exploring the importance and benefits of the platform business model. As you progress, you'll be able to build the right platform strategy, define the MVP, and focus on ongoing backlog prioritization for successful platforms. This book also walks you through the steps and guidelines that'll help organizations and product managers to transition from linear products to platforms. By the end of this platform product management book, you'll have learned the essential aspects of product management for building successful and scalable platforms.What you will learnUnderstand the difference between the product and platform business modelBuild an end-to-end platform strategy from scratchTranslate the platform strategy to a roadmap with a well-defined implementation planDefine the MVP for faster releases and test viability in the early stagesCreate an operating model and design an execution planMeasure the success or failure of the platform and make iterations after feedbackWho this book is forThis book is for product managers, product owners, product directors, and business executives responsible for defining platform strategy and its day-to-day execution. The book will also be useful for change managers and program managers who are responsible for the transition from products to platforms. No prior knowledge of platform strategy or platform transitioning is required as the book covers these topics to help you get started.
Microsoft Security, Compliance, and Identity Fundamentals Exam Ref SC-900: Familiarize yourself with security, identity, and compliance in Microsoft 365 and Azure
by Dwayne Natwick Sonia CuffUnderstand the fundamentals of security, compliance, and identity solutions across Microsoft Azure, Microsoft 365, and related cloud-based Microsoft servicesKey FeaturesGrasp Azure AD services and identity principles, secure authentication, and access managementUnderstand threat protection with Microsoft 365 Defender and Microsoft Defender for Cloud security managementLearn about security capabilities in Microsoft Sentinel, Microsoft 365 Defender, and Microsoft IntuneBook DescriptionCloud technologies have made building a defense-in-depth security strategy of paramount importance. Without proper planning and discipline in deploying the security posture across Microsoft 365 and Azure, you are compromising your infrastructure and data. Microsoft Security, Compliance, and Identity Fundamentals is a comprehensive guide that covers all of the exam objectives for the SC-900 exam while walking you through the core security services available for Microsoft 365 and Azure.This book starts by simplifying the concepts of security, compliance, and identity before helping you get to grips with Azure Active Directory, covering the capabilities of Microsoft's identity and access management (IAM) solutions. You'll then advance to compliance center, information protection, and governance in Microsoft 365. You'll find out all you need to know about the services available within Azure and Microsoft 365 for building a defense-in-depth security posture, and finally become familiar with Microsoft's compliance monitoring capabilities.By the end of the book, you'll have gained the knowledge you need to take the SC-900 certification exam and implement solutions in real-life scenarios.What you will learnBecome well-versed with security, compliance, and identity principlesExplore the authentication, access control, and identity management capabilities of Azure Active DirectoryUnderstand the identity protection and governance aspects of Azure and Microsoft 365Get to grips with the basic security capabilities for networks, VMs, and dataDiscover security management through Microsoft Defender for CloudWork with Microsoft Sentinel and Microsoft 365 DefenderDeal with compliance, governance, and risk in Microsoft 365 and AzureWho this book is forThis book is for cloud security engineers, Microsoft 365 administrators, Azure administrators, and anyone in between who wants to get up to speed with the security, compliance, and identity fundamentals to achieve the SC-900 certification. A basic understanding of the fundamental services within Microsoft 365 and Azure will be helpful but not essential.
Linux Service Management Made Easy with systemd: Advanced techniques to effectively manage, control, and monitor Linux systems and services
by Donald A. TevaultA comprehensive guide for teaching system administrators, developers, and security professionals how to create their own systemd units and maintain system securityKey FeaturesMaintain and troubleshoot systemd services with easeLearn to create, modify, and reload service files and use systemd utilitiesUse cgroups to control resource usage and enhance securityBook DescriptionLinux Service Management Made Easy with systemd will provide you with an in-depth understanding of systemd, so that you can set up your servers securely and efficiently.This is a comprehensive guide for Linux administrators that will help you get the best of systemd, starting with an explanation of the fundamentals of systemd management.You'll also learn how to edit and create your own systemd units, which will be particularly helpful if you need to create custom services or timers and add features or security to an existing service.Next, you'll find out how to analyze and fix boot-up challenges and set system parameters. An overview of cgroups that'll help you control system resource usage for both processes and users will also be covered, alongside a practical demonstration on how cgroups are structured, spotting the differences between cgroups Version 1 and 2, and how to set resource limits on both.Finally, you'll learn about the systemd way of performing time-keeping, networking, logging, and login management. You'll discover how to configure servers accurately and gather system information to analyze system security and performance.By the end of this Linux book, you'll be able to efficiently manage all aspects of a server running the systemd init system.What you will learnUse basic systemd utilities to manage a systemCreate and edit your own systemd unitsCreate services for Podman-Docker containersEnhance system security by adding security-related parametersFind important information with journaldAnalyze boot-up problemsConfigure system settings with systemd utilitiesWho this book is forThis book is best suited for Linux administrators who want to learn more about maintaining and troubleshooting Linux servers. It will also be useful for aspiring administrators studying for a Linux certification exam, developers looking to learn how to create systemd unit files, and security administrators who want to understand the security settings that can be used in systemd units and how to control resource usage with cgroups. Before you dive into this book, you'll need a solid working knowledge of basic Linux commands.
Data Lakehouse in Action: Architecting a modern and scalable data analytics platform
by Pradeep MenonPropose a new scalable data architecture paradigm, Data Lakehouse, that addresses the limitations of current data architecture patternsKey FeaturesUnderstand how data is ingested, stored, served, governed, and secured for enabling data analyticsExplore a practical way to implement Data Lakehouse using cloud computing platforms like AzureCombine multiple architectural patterns based on an organization's needs and maturity levelBook DescriptionThe Data Lakehouse architecture is a new paradigm that enables large-scale analytics. This book will guide you in developing data architecture in the right way to ensure your organization's success.The first part of the book discusses the different data architectural patterns used in the past and the need for a new architectural paradigm, as well as the drivers that have caused this change. It covers the principles that govern the target architecture, the components that form the Data Lakehouse architecture, and the rationale and need for those components. The second part deep dives into the different layers of Data Lakehouse. It covers various scenarios and components for data ingestion, storage, data processing, data serving, analytics, governance, and data security. The book's third part focuses on the practical implementation of the Data Lakehouse architecture in a cloud computing platform. It focuses on various ways to combine the Data Lakehouse pattern to realize macro-patterns, such as Data Mesh and Data Hub-Spoke, based on the organization's needs and maturity level. The frameworks introduced will be practical and organizations can readily benefit from their application.By the end of this book, you'll clearly understand how to implement the Data Lakehouse architecture pattern in a scalable, agile, and cost-effective manner.What you will learnUnderstand the evolution of the Data Architecture patterns for analyticsBecome well versed in the Data Lakehouse pattern and how it enables data analyticsFocus on methods to ingest, process, store, and govern data in a Data Lakehouse architectureLearn techniques to serve data and perform analytics in a Data Lakehouse architectureCover methods to secure the data in a Data Lakehouse architectureImplement Data Lakehouse in a cloud computing platform such as AzureCombine Data Lakehouse in a macro-architecture pattern such as Data MeshWho this book is forThis book is for data architects, big data engineers, data strategists and practitioners, data stewards, and cloud computing practitioners looking to become well-versed with modern data architecture patterns to enable large-scale analytics. Basic knowledge of data architecture and familiarity with data warehousing concepts are required.
Shopify Theme Customization with Liquid: Design state-of-the-art, dynamic Shopify eCommerce websites using Liquid's powerful features
by Ivan DjordjevicDiscover how to customize Shopify themes for your eCommerce websites with powerful tools and Liquid templatesKey FeaturesGet to grips with the Liquid core to build a solid foundation for working on any Shopify themeUse JSON to create Shopify's famous modular sections with powerful and complex functionalitiesUtilize the Shopify Ajax API to implement advanced functionality and make your eCommerce stores more dynamicBook DescriptionShopify is one of the fastest-growing eCommerce platforms, which means developers familiar with the Liquid concept are needed now more than ever. This book will help you to build a solid foundation by enabling you to develop your skills from the ground up by gaining essential theoretical knowledge of Liquid and putting that knowledge to use through hands-on projects.Shopify Theme Customization with Liquid begins by helping you get to grips with basic Shopify information, its interface and theme structure, setting up your Partner account, and creating a child theme, which is essential when preparing for any future work on Shopify. You'll then explore Liquid core features that will provide you with a basic understanding of the Liquid programming logic needed to develop any feature. As you advance to the latest and advanced features, you'll learn about JSON settings, allowing you to create any type of static or dynamic section - a must-have for becoming a competent Shopify developer. Finally, the book takes you through the Shopify Ajax API to gain the necessary skills needed to create a variety of dynamic features and content.By the end of this Shopify book, you'll be able to take on challenging projects to showcase your theme customization expertise to your future employer.What you will learnDiscover how to use logic and data comparison operators for various types of data within LiquidUse Liquid core features such as objects, tags, and filtersFind out how to customize themes using JSON settingsUse metafield objects to generate unique content on any pageUnderstand how to output the local or external media contentUse Shopify's famous drag-and-drop feature to rearrange sections on a storefrontTake Shopify's dynamic functionality to a whole new level using REST API endpointsWho this book is forThis book is for beginners and experienced CMS developers who want to learn about working with Shopify themes and customizing those themes using Liquid. Web developers designing professional e-commerce websites will also find this book useful. Besides familiarity with standard web technologies (HTML, CSS, and JavaScript), this book requires no prior knowledge of Shopify or Liquid. The book covers everything from Shopify fundamentals and the core of the Liquid and REST APIs, all the way through to the latest Liquid features that may be new to even proficient developers.
Certified Ethical Hacker (CEH) v11 312-50 Exam Guide: Keep up to date with ethical hacking trends and hone your skills with hands-on activities
by Christopher Rees Dale MeredithDevelop foundational skills in ethical hacking and penetration testing while getting ready to pass the certification examKey FeaturesLearn how to look at technology from the standpoint of an attackerUnderstand the methods that attackers use to infiltrate networksPrepare to take and pass the exam in one attempt with the help of hands-on examples and mock testsBook DescriptionWith cyber threats continually evolving, understanding the trends and using the tools deployed by attackers to determine vulnerabilities in your system can help secure your applications, networks, and devices. To outmatch attacks, developing an attacker's mindset is a necessary skill, which you can hone with the help of this cybersecurity book.This study guide takes a step-by-step approach to helping you cover all the exam objectives using plenty of examples and hands-on activities. You'll start by gaining insights into the different elements of InfoSec and a thorough understanding of ethical hacking terms and concepts. You'll then learn about various vectors, including network-based vectors, software-based vectors, mobile devices, wireless networks, and IoT devices. The book also explores attacks on emerging technologies such as the cloud, IoT, web apps, and servers and examines prominent tools and techniques used by hackers. Finally, you'll be ready to take mock tests, which will help you test your understanding of all the topics covered in the book.By the end of this book, you'll have obtained the information necessary to take the 312-50 exam and become a CEH v11 certified ethical hacker.What you will learnGet to grips with information security and ethical hackingUndertake footprinting and reconnaissance to gain primary information about a potential targetPerform vulnerability analysis as a means of gaining visibility of known security weaknessesBecome familiar with the tools and techniques used by an attacker to hack into a target systemDiscover how network sniffing works and ways to keep your information secureExplore the social engineering techniques attackers use to compromise systemsWho this book is forThis ethical hacking book is for security professionals, site admins, developers, auditors, security officers, analysts, security consultants, and network engineers. Basic networking knowledge (Network+) and at least two years of experience working within the InfoSec domain are expected.
Natural Language Processing with AWS AI Services: Derive strategic insights from unstructured data with Amazon Textract and Amazon Comprehend
by Mona M Premkumar Rangarajan Julien SimonWork through interesting real-life business use cases to uncover valuable insights from unstructured text using AWS AI servicesKey FeaturesGet to grips with AWS AI services for NLP and find out how to use them to gain strategic insightsRun Python code to use Amazon Textract and Amazon Comprehend to accelerate business outcomesUnderstand how you can integrate human-in-the-loop for custom NLP use cases with Amazon A2IBook DescriptionNatural language processing (NLP) uses machine learning to extract information from unstructured data. This book will help you to move quickly from business questions to high-performance models in production.To start with, you'll understand the importance of NLP in today's business applications and learn the features of Amazon Comprehend and Amazon Textract to build NLP models using Python and Jupyter Notebooks. The book then shows you how to integrate AI in applications for accelerating business outcomes with just a few lines of code. Throughout the book, you'll cover use cases such as smart text search, setting up compliance and controls when processing confidential documents, real-time text analytics, and much more to understand various NLP scenarios. You'll deploy and monitor scalable NLP models in production for real-time and batch requirements. As you advance, you'll explore strategies for including humans in the loop for different purposes in a document processing workflow. Moreover, you'll learn best practices for auto-scaling your NLP inference for enterprise traffic.Whether you're new to ML or an experienced practitioner, by the end of this NLP book, you'll have the confidence to use AWS AI services to build powerful NLP applications.What you will learnAutomate various NLP workflows on AWS to accelerate business outcomesUse Amazon Textract for text, tables, and handwriting recognition from images and PDF filesGain insights from unstructured text in the form of sentiment analysis, topic modeling, and more using Amazon ComprehendSet up end-to-end document processing pipelines to understand the role of humans in the loopDevelop NLP-based intelligent search solutions with just a few lines of codeCreate both real-time and batch document processing pipelines using PythonWho this book is forIf you're an NLP developer or data scientist looking to get started with AWS AI services to implement various NLP scenarios quickly, this book is for you. It will show you how easy it is to integrate AI in applications with just a few lines of code. A basic understanding of machine learning (ML) concepts is necessary to understand the concepts covered. Experience with Jupyter notebooks and Python will be helpful.
Learn Python Programming: An in-depth introduction to the fundamentals of Python, 3rd Edition
by Fabrizio Romano Heinrich KrugerGet up and running with Python through concise tutorials and practical projects in this fully updated editionKey FeaturesDiscover how to think like a Python programmerExtensively revised with richer examples, Python 3.9 syntax, and new chapters on APIs and packaging and distributing Python codeLearn the fundamentals of Python through real-world projects in API development, GUI programming, and data scienceBook DescriptionLearn Python Programming, Third Edition is both a theoretical and practical introduction to Python, an extremely flexible and powerful programming language that can be applied to many disciplines. This book will make learning Python easy and give you a thorough understanding of the language. You'll learn how to write programs, build modern APIs, and work with data by using renowned Python data science libraries.This revised edition covers the latest updates on API management, packaging applications, and testing. There is also broader coverage of context managers and an updated data science chapter.The book empowers you to take ownership of writing your software and become independent in fetching the resources you need. You will have a clear idea of where to go and how to build on what you have learned from the book. Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned.What you will learnGet Python up and running on Windows, Mac, and LinuxWrite elegant, reusable, and efficient code in any situationAvoid common pitfalls like duplication, complicated design, and over-engineeringUnderstand when to use the functional or object-oriented approach to programmingBuild a simple API with FastAPI and program GUI applications with TkinterGet an initial overview of more complex topics such as data persistence and cryptographyFetch, clean, and manipulate data, making efficient use of Python's built-in data structuresWho this book is forThis book is for anyone who has some programming experience, but not necessarily with Python. Some knowledge of basic programming concepts will come in handy, although it is not a requirement.
Professional Tips and Workarounds for QuickBooks Online: Improve your QuickBooks Online and bookkeeping skills using advanced techniques and best practices
by Ashley BeetsonSave hours of guesswork and Internet browsing by enhancing your QuickBooks Online skills and leveraging Ash Beetson's extensive QuickBooks knowledgeKey FeaturesBroaden your knowledge of QuickBooks Online and accounting conceptsUnderstand how QuickBooks can be adapted to suit different business types using professional techniquesLearn best practices for preparing annual accounts before closing the books for the yearBook DescriptionAccountants and bookkeepers can sometimes face challenges while coming up with solutions to help their clients. QuickBooks Online, a popular cloud accounting software, comes with a wide range of tools that can take time to learn. This book will show you how to properly combine the tools available in QuickBooks to get the most out of this software.Complete with step-by-step explanations of essential concepts and practical examples, the book will begin by helping you understand how to create opening balances for a new company. You'll then discover essential bookkeeping and accountancy tips and tricks, and find guidance to help make QuickBooks as easy to use as possible. As you advance, you'll explore different scenarios in which QuickBooks Online can be used for various business types. This will help you understand that not every business is the same, but using the wide range of functionalities QuickBooks Online offers, you can customize solutions to really make it work for you.By the end of this QuickBooks book, you'll have gained deep insights into how you can use QuickBooks Online to work for different business types, and you'll have a complete checklist of the different things you should be doing when you start reviewing accounts ahead of tax season.What you will learnDiscover how to correctly set up QuickBooks Online with opening balancesAdapt QuickBooks Online to meet specific industry needs, from manufacturing and retail using inventory to helping lawyers and property agents handle client fundsGet the most out of features such as Projects and MulticurrencyReview reports within QuickBooks Online, understand why errors occur, and learn how to resolve themGet to grips with key accounting principles and concepts tailored for bookkeeping and accounting beginnersFind out how the audit trail works and explore all of the information it holdsWho this book is forBusiness owners, company directors, accountants, bookkeepers, certified public accountants (CPAs), and anyone studying accounting and bookkeeping will find this book useful. The book contains general bookkeeping and accountancy tips and is designed to help you get the most out of the tools available in QuickBooks Online. Prior QuickBooks knowledge is necessary.
Machine Learning in Biotechnology and Life Sciences: Build machine learning models using Python and deploy them on the cloud
by Saleh AlkhalifaExplore all the tools and templates needed for data scientists to drive success in their biotechnology careers with this comprehensive guideKey FeaturesLearn the applications of machine learning in biotechnology and life science sectorsDiscover exciting real-world applications of deep learning and natural language processingUnderstand the general process of deploying models to cloud platforms such as AWS and GCPBook DescriptionThe booming fields of biotechnology and life sciences have seen drastic changes over the last few years. With competition growing in every corner, companies around the globe are looking to data-driven methods such as machine learning to optimize processes and reduce costs. This book helps lab scientists, engineers, and managers to develop a data scientist's mindset by taking a hands-on approach to learning about the applications of machine learning to increase productivity and efficiency in no time.You'll start with a crash course in Python, SQL, and data science to develop and tune sophisticated models from scratch to automate processes and make predictions in the biotechnology and life sciences domain. As you advance, the book covers a number of advanced techniques in machine learning, deep learning, and natural language processing using real-world data.By the end of this machine learning book, you'll be able to build and deploy your own machine learning models to automate processes and make predictions using AWS and GCP.What you will learnGet started with Python programming and Structured Query Language (SQL)Develop a machine learning predictive model from scratch using PythonFine-tune deep learning models to optimize their performance for various tasksFind out how to deploy, evaluate, and monitor a model in the cloudUnderstand how to apply advanced techniques to real-world dataDiscover how to use key deep learning methods such as LSTMs and transformersWho this book is forThis book is for data scientists and scientific professionals looking to transcend to the biotechnology domain. Scientific professionals who are already established within the pharmaceutical and biotechnology sectors will find this book useful. A basic understanding of Python programming and beginner-level background in data science conjunction is needed to get the most out of this book.
Infrastructure as Code with Azure Bicep: Streamline Azure resource deployment by bypassing ARM complexities
by Yaser Adel Mehraban John Downs Edmondo RosiniThe ultimate guide to becoming proficient in Azure Bicep while having a better development experience and making your Infrastructure as Code seamless and error freeKey FeaturesLearn Azure Bicep from an official Microsoft trainerMaster the authoring experience to make your Infrastructure as Code journey seamlessGo beyond writing good templates with the help of advanced tips and tricksBook DescriptionIt's no secret that developers don't like using JSON files to declare their resources in Azure because of issues such as parameter duplication and not being able to use comments in templates. Azure Bicep helps resolve these issues, and this book will guide you, as a developer or DevOps engineer, to get the most out of the Bicep language.The book takes you on a journey from understanding Azure Resource Manager (ARM) templates and what their drawbacks are to how you can use Bicep to overcome them. You will get familiar with tools such as Visual Studio Code, the Bicep extension, the Azure CLI, PowerShell, Azure DevOps, and GitHub for writing reusable, maintainable templates. After that, you'll test the templates and deploy them to an Azure environment either from your own system or via a continuous integration and continuous delivery (CI/CD) pipeline. The book features a detailed overview of all the Bicep features, when to use what, and how to write great templates that fit well into your existing pipelines or in a new one. The chapters progress from easy to advanced topics and every effort has been put into making them easy to follow with examples, all of which are accessible via GitHub.By the end of this book, you'll have developed a solid understanding of Azure Bicep and will be able to create, test, and deploy your resources locally or in your CI/CD pipelines.What you will learnGet started with Azure Bicep and install the necessary toolsUnderstand the details of how to define resources with BicepUse modules to create templates for different teams in your companyOptimize templates using expressions, conditions, and loopsMake customizable templates using parameters, variables, and functionsDeploy templates locally or from Azure DevOps or GitHubStay on top of your IaC with best practices and industry standardsWho this book is forThis book is for cloud engineers, developers, and DevOps engineers who are responsible for writing templates to deploy resources in Microsoft Azure and contributing to CI/CD pipelines. Professionals who want to get started with DevOps and Infrastructure as Code when it comes to working with Microsoft Azure will also benefit from reading this book. Readers are expected to have a basic understanding of CI/CD concepts, must have worked with ARM templates to deploy resources to Azure, and must have used or be familiar with Azure DevOps or GitHub Actions for their CI/CD pipelines.
Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
by Ben AuffarthBecome proficient in deriving insights from time-series data and analyzing a model's performanceKey FeaturesExplore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time-series via real-world case studies on operations management, digital marketing, finance, and healthcareBook DescriptionMachine learning has emerged as a powerful tool to understand hidden complexities in time-series datasets, which frequently need to be analyzed in areas as diverse as healthcare, economics, digital marketing, and social sciences. These datasets are essential for forecasting and predicting outcomes or for detecting anomalies to support informed decision making.This book covers Python basics for time-series and builds your understanding of traditional autoregressive models as well as modern non-parametric models. You will become confident with loading time-series datasets from any source, deep learning models like recurrent neural networks and causal convolutional network models, and gradient boosting with feature engineering.Machine Learning for Time-Series with Python explains the theory behind several useful models and guides you in matching the right model to the right problem. The book also includes real-world case studies covering weather, traffic, biking, and stock market data.By the end of this book, you will be proficient in effectively analyzing time-series datasets with machine learning principles.What you will learnUnderstand the main classes of time-series and learn how to detect outliers and patternsChoose the right method to solve time-series problemsCharacterize seasonal and correlation patterns through autocorrelation and statistical techniquesGet to grips with time-series data visualizationUnderstand classical time-series models like ARMA and ARIMAImplement deep learning models, like Gaussian processes, transformers, and state-of-the-art machine learning modelsBecome familiar with many libraries like Prophet, XGboost, and TensorFlowWho this book is forThis book is ideal for data analysts, data scientists, and Python developers who are looking to perform time-series analysis to effectively predict outcomes. Basic knowledge of the Python language is essential. Familiarity with statistics is desirable.
Artificial Intelligence with Power BI: Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI
by Mary-Jo DiepeveenLearn how to create your own AI model and consume it in your Power BI reports to gain better insights from your dataKey FeaturesLearn how to gain better insights from your data by applying different AI techniques within Power BISave time by creating machine learning models independently and integrating them within your BI reportsUnderstand how to combine Cognitive Services and Azure Machine Learning together with Power BIBook DescriptionThe artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data.This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data.You'll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you'll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you'll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you'll work through principles such as privacy, fairness, and transparency to use AI responsibly.By the end of this book, you'll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.What you will learnApply techniques to mitigate bias and handle outliers in your dataPrepare time series data for forecasting in Power BIPrepare and shape your data for anomaly detectionUse text analytics in Power Query EditorIntegrate QnA Maker with PowerApps and create an appTrain your own models and identify the best one with AutoMLIntegrate an Azure ML workspace with Power BI and use endpoints to generate predictionsWho this book is forThis artificial intelligence BI book is for data analysts and BI developers who want to explore advanced analytics or artificial intelligence possibilities with their data. Prior knowledge of Power BI will help you get the most out of this book.
Kotlin Design Patterns and Best Practices: Build scalable applications using traditional, reactive, and concurrent design patterns in Kotlin, 2nd Edition
by Alexey Soshin Anton ArhipovImprove the scalability and maintainability of your applications by implementing a variety of design patterns using KotlinKey FeaturesUnderstand traditional and modern design patterns to improve the design of your applicationCombine the benefits of object-oriented, functional, reactive, and concurrent programmingChoose the best microservices architecture and frameworks for your web applicationBook DescriptionDesign patterns are well-known solutions to common architectural problems as they allow you to solve many problems efficiently and create a shared vocabulary between developers. This book shows you how easy it can be to implement traditional design patterns in the modern multi-paradigm Kotlin programming language, and takes you through the new patterns and paradigms that have emerged.This second edition is updated to cover the changes introduced from Kotlin 1.2 up to 1.5 and focuses more on the idiomatic usage of coroutines, which have become a stable language feature. You'll begin by learning about the practical aspects of smarter coding in Kotlin, and will understand basic Kotlin syntax and the impact of design patterns on your code.The book also provides an in-depth explanation of the classical design patterns, such as Creational, Structural, and Behavioral families, before moving on to functional programming. You'll go through reactive and concurrent patterns, and finally, get to grips with coroutines and structured concurrency to write performant, extensible, and maintainable code.By the end of this Kotlin book, you'll have explored the latest trends in architecture and design patterns for microservices, as well as understanding the tradeoffs when choosing between different architectures.What you will learnImplement all the classical design patterns using the Kotlin programming languageApply reactive and concurrent design patterns to make your application more scalableDiscover best practices in Kotlin and explore its new featuresUnderstand the key principles of functional programming and learn how they apply to KotlinFind out how to write idiomatic Kotlin code and learn which patterns to avoidHarness the power of Kotlin to design concurrent and reliable systems with easeCreate an effective microservice with Kotlin and the Ktor frameworkWho this book is forThis book is for developers looking to apply design patterns they've learned from other languages in Kotlin to build reliable, scalable, and maintainable applications. Prior programming knowledge is necessary to get started with this book. Experience in Java or design patterns is helpful, but not mandatory.