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| azure devops version history: Azure DevOps Server 2019 Cookbook Tarun Arora, Utkarsh Shigihalli, 2019-05-03 Over 70 recipes to effectively apply DevOps best practices and implement Agile, Git, CI-CD & Test automation using Azure DevOps Server (TFS) 2019 Key FeaturesLearn improving code quality using pull requests, branch policies, githooks and git branching designAccelerate the deployment of high quality software by automating build and releases using CI-CD Pipelines.Learn tried and tested techniques to automate database deployments, App Service & Function Deployments in Azure.Book Description Azure DevOps Server, previously known as Team Foundation Server (TFS), is a comprehensive on-premise DevOps toolset with a rich ecosystem of open source plugins. This book is your one stop guide to learn how to effectively use all of these Azure DevOps services to go from zero to DevOps. You will start by building high-quality scalable software targeting .NET, .NET core or Node.js applications. You will learn techniques that will help you to set up end-to-end traceability of your code changes from design through to release. Whether you are deploying software on-premise or in the cloud in App Service, Functions, or Azure VMs, this book will help you learn release management techniques to reduce release failures. Next, you will be able to secure application configuration by using Azure KeyVault. You will also learn how to create and release extensions to the Azure DevOps marketplace and reach million developer ecosystem for feedback. The working extension samples will allow you to iterate changes in your extensions easily and release updates to the marketplace quickly. By the end of this book, techniques provided in the book will help you break down the invisible silos between your software development teams. This will transform you from being a good software development team to an elite modern cross functional software development team. What you will learnSet up a team project for an Agile delivery team, importing requirements from ExcelPlan,track, and monitor progress using self updating boards, Sprint and Kanban boardsUnlock the features of Git by using branch policies, Git pull requests, forks, and Git hooksBuild and release .NET core, SQL and Node.js applications using Azure PipelineAutomate testing by integrating Microsoft and open source testing frameworksExtend Azure DevOps Server to a million developer ecosystemWho this book is for This book is for anyone looking to succeed with DevOps. The techniques in this book apply to all roles of the software development lifecycle including developers, testers, architects, configuration analysts, site reliability engineers and release managers. If you are a new user you’ll learn how to get started; if you are an experienced user you’ll learn how to launch your project into a modern and mature DevOps enabled software development team. |
| azure devops version history: Azure DevOps Explained Sjoukje Zaal, Stefano Demiliani, Amit Malik, 2020-12-11 Implement real-world DevOps and cloud deployment scenarios using Azure Repos, Azure Pipelines, and other Azure DevOps tools Key FeaturesImprove your application development life cycle with Azure DevOps in a step-by-step mannerApply continuous integration and continuous deployment to reduce application downtimeWork with real-world CI/CD scenarios curated by a team of renowned Microsoft MVPs and MCTsBook Description Developing applications for the cloud involves changing development methodologies and procedures. Continuous integration and continuous deployment (CI/CD) processes are a must today, but are often difficult to implement and adopt. Azure DevOps is a Microsoft Azure cloud service that enhances your application development life cycle and enables DevOps capabilities. Starting with a comprehensive product overview, this book helps you to understand Azure DevOps and apply DevOps techniques to your development projects. You'll find out how to adopt DevOps techniques for your development processes by using built-in Azure DevOps tools. Throughout the course of this book, you'll also discover how to manage a project with the help of project management techniques such as Agile and Scrum, and then progress toward development aspects such as source code management, build pipelines, code testing and artifacts, release pipelines, and GitHub integration. As you learn how to implement DevOps practices, this book will also provide you with real-world examples and scenarios of DevOps adoption. By the end of this DevOps book, you will have learned how to adopt and implement Azure DevOps features in your real-world development processes. What you will learnGet to grips with Azure DevOpsFind out about project management with Azure BoardsUnderstand source code management with Azure ReposBuild and release pipelinesRun quality tests in build pipelinesUse artifacts and integrate Azure DevOps in the GitHub flowDiscover real-world CI/CD scenarios with Azure DevOpsWho this book is for This book is for developers, solutions architects, and DevOps engineers interested in getting started with cloud DevOps practices on Azure. Prior understanding of Azure architecture and services is necessary. Some knowledge of DevOps principles and techniques will be useful. |
| azure devops version history: Beginning Azure DevOps Adora Nwodo, 2023-03-31 The perfect DevOps guide for beginning Azure users In Beginning Azure DevOps: Planning, Building, Testing and Releasing Software Applications on Azure, award-winning software engineer Adora Nwodo delivers a beginner's guide to DevOps on the Microsoft-powered Azure cloud platform. In the book, you'll learn to deploy Azure's built-in DevOps tools required to plan, build, test, and ship applications. The author explains how to use Azure's functionality for project management, version control, code testing, and continuous integration and continuous delivery (CI/CD). She discusses how to plan software development projects from start to finish using Agile and Scrum techniques. Readers will also find: Updated source code repositories on GitHub with instructive practice exercises Strategies for improving collaboration and automating your code-to-cloud workflows Techniques for securing your code with advanced capabilities An essential resource for Azure novices who hope to learn about the myriad possibilities unlocked by Azure DevOps tools, Beginning Azure DevOps will also earn a place in the libraries of software professionals familiar with other cloud platforms who hope to gain a foothold in the Azure cloud environment. |
| azure devops version history: Designing and Implementing Microsoft DevOps Solutions AZ-400 Exam Guide Subhajit Chatterjee, Swapneel Deshpande, Henry Been, Maik van der Gaag, 2022-09-23 Written by Microsoft MVPs and Azure experts, this comprehensive guide comes with self-study exercises to help you understand the concepts better and move closer to becoming a skilled Azure DevOps engineer Key FeaturesExplore a step-by-step approach to designing and creating a successful DevOps environmentUnderstand how to implement continuous integration and continuous deployment pipelines on AzureIntegrate and implement security, compliance, containers, and databases in your DevOps strategiesBook Description The AZ-400 Designing and Implementing Microsoft DevOps Solutions certification helps DevOps engineers and administrators get to grips with practices such as continuous integration and continuous delivery (CI/CD), containerization, and zero downtime deployments using Azure DevOps Services. This new edition is updated with advanced topics such as site reliability engineering (SRE), continuous improvement, and planning your cloud transformation journey. The book begins with the basics of CI/CD and automated deployments, and then moves ahead to show you how to apply configuration management and Infrastructure as Code (IaC) along with managing databases in DevOps scenarios. As you make progress, you'll explore fitting security and compliance with DevOps and find out how to instrument applications and gather metrics to understand application usage and user behavior. This book will also help you implement a container build strategy and manage Azure Kubernetes Services. Lastly, you'll discover quick tips and tricks to confidently apply effective DevOps practices and learn to create your own Azure DevOps organization. By the end of this DevOps book, you'll have gained the knowledge needed to ensure seamless application deployments and business continuity. What you will learnGet acquainted with Azure DevOps Services and DevOps practicesDiscover how to efficiently implement CI/CD processesBuild and deploy a CI/CD pipeline with automated testing on AzureIntegrate security and compliance in pipelinesUnderstand and implement Azure Container ServicesEffectively close the loop from production back to developmentApply continuous improvement strategies to deliver innovation at scaleWho this book is for The book is for anyone looking to prepare for the AZ-400 certification exam. Software developers, application developers, and IT professionals who want to implement DevOps practices for the Azure cloud will also find this book helpful. Familiarity with Azure DevOps basics, software development, and development practices is recommended but not necessary. |
| azure devops version history: Implementing Azure DevOps Solutions Henry Been, Maik van der Gaag, 2020-06-11 A comprehensive guide to becoming a skilled Azure DevOps engineer Key FeaturesExplore a step-by-step approach to designing and creating a successful DevOps environmentUnderstand how to implement continuous integration and continuous deployment pipelines on AzureIntegrate and implement security, compliance, containers, and databases in your DevOps strategiesBook Description Implementing Azure DevOps Solutions helps DevOps engineers and administrators to leverage Azure DevOps Services to master practices such as continuous integration and continuous delivery (CI/CD), containerization, and zero downtime deployments. This book starts with the basics of continuous integration, continuous delivery, and automated deployments. You will then learn how to apply configuration management and Infrastructure as Code (IaC) along with managing databases in DevOps scenarios. Next, you will delve into fitting security and compliance with DevOps. As you advance, you will explore how to instrument applications, and gather metrics to understand application usage and user behavior. The latter part of this book will help you implement a container build strategy and manage Azure Kubernetes Services. Lastly, you will understand how to create your own Azure DevOps organization, along with covering quick tips and tricks to confidently apply effective DevOps practices. By the end of this book, you’ll have gained the knowledge you need to ensure seamless application deployments and business continuity. What you will learnGet acquainted with Azure DevOps Services and DevOps practicesImplement CI/CD processesBuild and deploy a CI/CD pipeline with automated testing on AzureIntegrate security and compliance in pipelinesUnderstand and implement Azure Container ServicesBecome well versed in closing the loop from production back to developmentWho this book is for This DevOps book is for software developers and operations specialists interested in implementing DevOps practices for the Azure cloud. Application developers and IT professionals with some experience in software development and development practices will also find this book useful. Some familiarity with Azure DevOps basics is an added advantage. |
| azure devops version history: Demystifying Azure DevOps Services Ashish Raj, 2021-03-22 Learn about Azure DevOps services to successfully apply DevOps strategies Ê KEY FEATURESÊÊ _ Share knowledge on DevOps implementation and use of Azure DevOps services. _ Learn about Azure artifacts, dependency management, and CI/CD pipeline management. _ Manage third-party integration, Agile planning, and application lifecycle management. DESCRIPTIONÊ This book offers readers the best DevOps practices and explains how to implement various services of Azure DevOps to ensure efficiency, effectiveness, and better management of the entire software development lifecycle. This book explains each component of Azure DevOps services, their pricing models, and a quick tutorial on how to proceed with its usage. Backed with numerous examples, this book helps you implement Agile planning using Azure Boards, maintain code versioning using Azure Repos, and manage CI/CD using Azure Pipelines. You will learn how to administer the DevOps process such as managing packages using the most popular Azure Artifacts and how to run Test Plans using Azure Test Plans. You will also learn how to integrate with third-party systems. Finally, you will learn about marketplaces of extensions and how to develop your own extensions. WHAT YOU WILL LEARN _ Learn DevOps culture, practices, and habits. _ Learn to manage version control of the source code within Azure DevOps Services. _ Learn how to administer Azure DevOps services for an enterprise application lifecycle management system. _ Learn Azure DevOps services and features. WHO THIS BOOK IS FORÊÊ This book is for anyone who wishes to use or who are using Azure DevOps services, including Infrastructure engineers, Software engineers, Architects, Testers, Managers, or Product Owners. Ê TABLE OF CONTENTS 1. Introduction to Azure DevOps 2. Azure DevOps Organization 3. Azure DevOps Project 4. Azure Board 5. Azure Repos 6. Azure Pipelines 7. Azure Artifacts 8. Azure Test Plans 9. Extension Marketplace |
| azure devops version history: Hands-on Azure DevOps Mitesh Soni, 2020-06-22 A step-by-step guide to implementing Continuous Integration and Continuous Delivery for Mobile, Hybrid, and Web applications KEY FEATURESÊ - This book covers all these practices that can be utilized in real-life scenarios with sample applications written in Java, Android, iOS, Node.js, Angular, Ionic Cordova, Xamarin, Python, and PHP.Ê - This book provides detailed insight into Microsoft Azure Cloud, especially Platform as a Service Model - Azure App Services.Ê - This book utilizes the Multi-Stage Pipeline Feature of Azure DevOps. Step by Step implementation of Continuous Practices of DevOps makes it easy to understand even for beginners of DevOps practices. DESCRIPTIONÊ This book will cover an approach that includes the understanding of DevOps, Assessment of AS-IS state, DevOps Practices Implementation and measurement of success. The main objective is to demonstrate Continuous Practices of DevOps Culture using Microsoft Azure DevOps and Microsoft Azure Cloud across different types of applications such as Mobile apps, Hybrid Mobile App, and Web applications. The main idea is to have a uniform approach across different types of applications such as Mobile apps, Hybrid Mobile App, and Web applications. It is important to have a uniform approach of DevOps Practices implementation in an application written in different programming languages such as Java, Android, iOS, Node.js, Angular, Ionic Cordova, Xamarin, Python, and PHP. WHAT WILL YOU LEARNÊÊ - Learn to create a Multi-Stage (CICD) Pipeline for sample applications - Configure Unit Test Execution and Code Coverage Reports in Azure DevOps for sample applications - Create and configure Cloud resources using Platform as a Service Model - Azure App Services for Web Applications and deploy Web Applications to Azure App Services using Pipeline - Understand how to distribute Mobile App Packages (APK and IPA) to App Center WHO THIS BOOK IS FORÊÊ This book is suitable for DevOps Consultants, DevOps Evangelists, DevOps Engineers, Technical Specialists, Technical Architects, Cloud Experts, and Beginners. Ê TABLE OF CONTENTSÊÊ 1. Overview of DevOps Practices 2. DevOps Assessment Ð Measure the ÒAS-ISÓ Maturity 3. DevOps Practices Implementation for Android App Ð Azure DevOps Pipelines 4. DevOps Practices Implementation for iOS App Ð Azure DevOps Pipelines 5. DevOps Practices Implementation for Native Apps using App Center 6. DevOps Practices Implementation for Java App Ð Azure DevOps PipelinesÊ 7. DevOps Practices Implementation for Node.js Apps Ð Azure DevOps Pipelines 8. DevOps Practices Implementation for Angular App Ð Azure DevOps Pipelines 9. DevOps Practices Implementation for Python and, PHPÊ Ð Azure DevOps Pipelines 10. DevOps Practices Implementation for Hybrid Mobile App (Ionic and Xamarin) Ð Azure DevOps Pipeline 11. Azure DevOps Best Practices 12. Measure Benefits of DevOps Practices Implementations |
| azure devops version history: Azure DevOps Engineer: Exam AZ-400 Rob Botwright, 101-01-01 Introducing the Ultimate Guide to Azure DevOps Mastery! Are you ready to take your DevOps skills to the next level and become a certified Azure DevOps Engineer? Look no further! Our comprehensive book bundle, Azure DevOps Engineer: Exam AZ-400 - Designing and Implementing Microsoft DevOps Solutions, is your ticket to success in the world of DevOps. This bundle includes four essential books tailored to help you ace the AZ-400 exam and excel in your DevOps career: Book 1 - Azure DevOps Fundamentals: A Beginner's Guide to Exam AZ-400: Kickstart your journey with this beginner-friendly guide that covers the core concepts of Azure DevOps. From understanding the basics to navigating through the Azure DevOps ecosystem, this book sets the foundation for your success. Book 2 - Mastering Continuous Integration and Continuous Deployment with Azure DevOps: Exam AZ-400: Dive deep into the world of CI/CD pipelines with this comprehensive guide. Learn how to automate software delivery, improve collaboration, and accelerate deployment cycles using Azure DevOps. Book 3 - Advanced Azure DevOps Techniques: Architecting for Scalability and Resilience - Exam AZ-400: Take your skills to new heights with advanced techniques for designing scalable and resilient DevOps solutions. Explore architectural patterns, scalability strategies, and resilience best practices to tackle complex challenges head-on. Book 4 - DevOps Expert: Achieving Mastery in Azure DevOps and Beyond - Exam AZ-400: Become a true DevOps expert with this ultimate guide. Covering a wide range of advanced topics, including security, compliance, and optimization techniques, this book empowers you to overcome any obstacle and excel in your DevOps journey. Whether you're a beginner looking to get started in DevOps or an experienced professional aiming for mastery, this book bundle has something for everyone. Packed with real-world examples, practical exercises, and expert insights, it's the perfect companion for your journey to becoming a certified Azure DevOps Engineer. Don't miss out on this opportunity to level up your DevOps skills and achieve success in your career. Get your copy of Azure DevOps Engineer: Exam AZ-400 - Designing and Implementing Microsoft DevOps Solutions today! |
| azure devops version history: Microsoft Certified Exam guide - Azure DevOps Engineer Expert (AZ-400) Cybellium Ltd, Master the Art of Azure DevOps Engineering! Are you ready to take the leap and become a Microsoft Azure DevOps Engineer Expert, poised to lead the way in modern software development and deployment practices? Look no further than the Microsoft Certified Exam Guide - Azure DevOps Engineer Expert (AZ-400). This comprehensive book is your ultimate companion on the journey to mastering Azure DevOps and acing the AZ-400 exam. In today's fast-paced software development landscape, DevOps is the key to delivering high-quality software at speed. Microsoft Azure DevOps offers a powerful set of tools and practices for automating, monitoring, and optimizing the software delivery pipeline. Whether you're a seasoned developer or a budding engineer, this book equips you with the knowledge and skills needed to excel in Azure DevOps. Inside this book, you will discover: ✔ Comprehensive Coverage: A deep dive into all the essential DevOps concepts, tools, and best practices for designing, implementing, and optimizing DevOps processes on Azure. ✔ Real-World Scenarios: Practical examples and case studies that showcase how Azure DevOps is used to streamline software development and delivery in real-world projects, making learning engaging and relevant. ✔ Exam-Ready Preparation: Thorough coverage of AZ-400 exam objectives, complete with practice questions and expert tips to ensure you're well-prepared for exam day. ✔ Proven Expertise: Authored by Azure DevOps professionals who hold the certification and have hands-on experience in building and managing DevOps pipelines, offering you invaluable insights and practical guidance. Whether you aim to advance your career, validate your expertise, or simply become a proficient Azure DevOps Engineer, Microsoft Certified Exam Guide - Azure DevOps Engineer Expert (AZ-400) is your trusted companion on this journey. Don't miss this opportunity to become a sought-after DevOps expert in a competitive job market. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com |
| azure devops version history: Azure for Architects Ritesh Modi, Jack Lee, Rithin Skaria, 2020-07-17 Build and design multiple types of applications that are cross-language, platform, and cost-effective by understanding core Azure principles and foundational concepts Key FeaturesGet familiar with the different design patterns available in Microsoft AzureDevelop Azure cloud architecture and a pipeline management systemGet to know the security best practices for your Azure deploymentBook Description Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions. What you will learnUnderstand the components of the Azure cloud platformUse cloud design patternsUse enterprise security guidelines for your Azure deploymentDesign and implement serverless and integration solutionsBuild efficient data solutions on AzureUnderstand container services on AzureWho this book is for If you are a cloud architect, DevOps engineer, or a developer looking to learn about the key architectural aspects of the Azure cloud platform, this book is for you. A basic understanding of the Azure cloud platform will help you grasp the concepts covered in this book more effectively. |
| azure devops version history: Learning Continuous Integration with Jenkins Nikhil Pathania, 2024-01-31 Integrate Jenkins, Kubernetes, and more on cloud into a robust, GitOps-driven CI/CD system, leveraging JCasC, IaC, and AI for a streamlined software delivery process Key Features Follow the construction of a Jenkins CI/CD pipeline start to finish through a real-world example Construct a continuous deployment (CD) pipeline in Jenkins using GitOps principles and integration with Argo CD Craft and optimize your CI pipeline code with ChatGPT and GitHub Copilot Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis updated edition of Learning Continuous Integration with Jenkins is your one-stop guide to implementing CI/CD with Jenkins, addressing crucial technologies such as cloud computing, containerization, Infrastructure as Code, and GitOps. Tailored to both beginners and seasoned developers, the book provides a practical path to mastering a production-grade, secure, resilient, and cost-effective CI/CD setup. Starting with a detailed introduction to the fundamental principles of CI, this book systematically takes you through setting up a CI environment using Jenkins and other pivotal DevOps tools within the CI/CD ecosystem. You’ll learn to write pipeline code with AI assistance and craft your own CI pipeline. With the help of hands-on tutorials, you’ll gain a profound understanding of the CI process and Jenkins’ robust capabilities. Additionally, the book teaches you how to expand your CI pipeline with automated testing and deployment, setting the stage for continuous deployment. To help you through the complete software delivery process, this book also covers methods to ensure that your CI/CD setup is maintainable across teams, secure, and performs optimally. By the end of the book, you’ll have become an expert in implementing and optimizing CI/CD setups across diverse teams.What you will learn Understand CI with the Golden Circle theory Deploy Jenkins on the cloud using Helm charts and Jenkins Configuration as Code (JCasC) Implement optimal security practices to ensure Jenkins operates securely Extend Jenkins for CI by integrating with SonarQube, GitHub, and Artifactory Scale Jenkins using containers and the cloud for optimal performance Master Jenkins declarative syntax to enrich your pipeline coding vocabulary Enhance security and improve pipeline code within your CI/CD process using best practices Who this book is for This book is for a diverse audience, from university students studying Agile software development to seasoned developers, testers, release engineers, and project managers. If you’re already using Jenkins for CI, this book will assist you in elevating your projects to CD. Whether you’re new to the concepts of Agile, CI, and CD, or a DevOps engineer seeking advanced insights into JCasC, IaC, and Azure, this book will equip you with the tools to harness Jenkins for improved productivity and streamlined deliveries in the cloud. |
| azure devops version history: Professional Scrum Development with Azure DevOps Richard Hundhausen, 2021-02-24 Professional Scrum Development with Azure DevOps stands apart from all other Scrum and Azure guides by focusing on the fusion of today's most popular agile framework (Scrum) and ALM/DevOps toolset (Azure DevOps). Hundhausen shows how a professional Scrum team can more effectively plan, track, and manage its work with Azure Boards, Azure Test Plans, and related Azure DevOps features. He offers detailed coverage of team formation, backlogs, sprints, test plans, collaboration, flow, continuous improvement, and the real-world tradeoffs between using tools and interacting directly with other team members. To make this guide even more valuable, Hundhausen has crafted it to complement Scrum.org's popular Professional Scrum Developer (PSD) program, which he personally created with Scrum.org's Ken Schwaber. Powerful techniques for the 80-90% of modern software teams that use Scrum and its variants Reflects state-of-the-art tools built into Azure DevOps, as well as its integration with GitHub Introduces high-productivity features for Scrum teams in Azure Boards and Azure Test Plans Complements Scrum.org's Professional Scrum Developer (PSD) program -- created by this book's author together with Ken Schwaber Richard Hundhausen helps software organizations and teams deliver better products by understanding and leveraging Azure DevOps and Scrum. He is a Professional Scrum Trainer, Professional Scrum Developer, author of Professional Scrum Development with Microsoft Visual Studio(Microsoft Press), and co-creator of the Nexus Scaled Scrum Framework with Ken Schwaber. As a software developer and consultant with 30+ years of experience, he understands that software is built and delivered by people, not by processes or tools. |
| azure devops version history: ⬆️ Microsoft Azure AZ-400 (Designing and Implementing Microsoft DevOps Solutions) Practice Tests Exams 347 Questions & Answers PDF Daniel Danielecki, 2024-04-22 ⌛️ Short and to the point; why should you buy the PDF with these Practice Tests Exams: 1. Always happy to answer your questions on Google Play Books and outside :) 2. Failed? Please submit a screenshot of your exam result and request a refund; we'll always accept it. 3. Learn about topics, such as: - Agile; - Alerts; - Application Insights; - ASP.NET; - Authentication; - Azure Active Directory (Azure AD); - Azure App Service; - Azure Artifacts; - Azure Automation State Configuration; - Azure Container Registry; - Azure DevOps; - Azure Kubernetes Service (AKS); - Azure Log Analytics; - Azure Monitor; - Azure Pipelines; - Azure Portal; - Azure Repos; - Azure Resource Manager; - Azure SQL Database; - Continuous Integration (CI); - Desired State Configuration (DSC); - Docker; - Git; - GitHub; - Helm; - Java; - Jenkins; - Key Vaults; - Microsoft Teams; - Monitoring; - NuGet; - PowerShell; - Pull Requests; - Service Connections; - Technical Debt; - Virtual Machines (VMs); - WhiteSource Bolt; - Windows Server; - Much More! 4. Questions are similar to the actual exam, without duplications (like in other practice exams ;-)). 5. These tests are not a Microsoft Azure AZ-400 (Designing and Implementing Microsoft DevOps Solutions) Exam Dump. Some people use brain dumps or exam dumps, but that's absurd, which we don't practice. 6. 347 unique questions. |
| azure devops version history: Hands-On Azure Data Platform Sagar Lad, Abhishek Mishra, Ashirwad Satapathi, 2022-02-10 Plan, build, deploy, and monitor data solutions on Azure KEY FEATURES ● Work with PostgreSQL, MySQL, and CosmosDB databases on Microsoft Azure. ● Work with whole data architecture, leverage Azure Storage, Azure Synapse, and Azure Data Lake. ● Data integration strategies with Azure Data Factory and Data Bricks. DESCRIPTION 'Hands-On Azure Data Platform' helps readers get a fundamental understanding of the Database, Data Warehouse, and Data Lake and their management on the Azure Data Platform. The book describes how to work efficiently with Relational and Non-Relational Databases, Azure Synapse Analytics, and Azure Data Lake. The readers will use Azure Databricks and Azure Data Factory to experience data processing and transformation. The book delves deeply into topics like continuous integration, continuous delivery, and the use of Azure DevOps. The book focuses on the integration of Azure DevOps with CI/CD pipelines for data ops solutions. The book teaches readers how to migrate data from an on-premises system or another cloud service provider to Azure. After reading the book, readers will develop end-to-end data solutions using the Azure data platform. Additionally, data engineers and ETL developers can streamline their ETL operations using various efficient Azure services. WHAT YOU WILL LEARN ● In-depth knowledge of the principles of the data warehouse and the data lake. ● Acquaint yourself with Azure Storage Files, Blobs, and Queues. ● Create relational databases on the Azure platform using SQL, PostgreSQL, and MySQL. ● With Cosmos DB, you can create extremely scalable databases and data warehouses. ● Utilize Azure Databricks and Data Factory to develop data integration solutions. WHO THIS BOOK IS FOR This book is designed for big data engineers, data architects, and cloud engineers who want to understand how to use the Azure Data Platform to build enterprise-grade solutions. Learning about databases and the Azure Data Platform would be helpful but not necessary. TABLE OF CONTENTS 1. Getting Started with the Azure Data Platform 2. Working with Relational Databases on Azure 3. Working with Azure Synapse Analytics 4. Working with Azure Data Lake 5. Working with Azure Cosmos DB 6. Working with Azure Databricks 7. Working with Azure Data Factory 8. DevOps with the Azure Data Platform 9. Planning and Migrating On-Premises Azure Workloads to the Azure Data platform 10. Design and Implement Data Solutions on Azure |
| azure devops version history: Microsoft Power BI Cookbook Greg Deckler, Brett Powell, 2024-07-31 Now in color, this edition helps you unlock the full potential of Power BI with new recipes and comprehensive techniques on advanced data tools and AI Key Features Dive into Microsoft Data Fabric for deeper insights and robust data strategies Implement Hybrid tables, create comprehensive scorecards, and establish shared cloud connections effortlessly Uncover new and updated data visualization tools that turn complex data into clear, actionable charts and reports Purchase of the print or Kindle book includes a free eBook in PDF format Book DescriptionSince its first edition the Power BI Cookbook has been a best-selling resource for BI developers and data analysts to produce impactful, quality BI solutions. This new and updated edition retains the rigorous details and concepts readers of prior editions have enjoyed while also demonstrating powerful new capabilities and updated guidance aligned to the current state of the platform. In this book, with step-by-step instructions, you will learn to navigate the complexities of data integration and visualization in Power BI. From creating robust data models to implementing sophisticated reporting techniques, this Power BI book empowers you to make informed decisions based on actionable insights. It also introduces you to new capabilities such as Hybrid tables and scorecards, enhancing your ability to communicate and analyze business performance. It also expands and improvises on the core of the previous edition like parameterizing Power BI solutions, authoring reports, data intelligence, and integrating advanced analytics. This edition not only updates you on the latest features but also prepares you for future innovations with a preview of upcoming AI enhancements in Power BI. Whether you're refining your skills or aspiring to become an expert, this book is an invaluable resource for leveraging Power BI to its fullest potentialWhat you will learn Analyze and integrate business data using Microsoft Data Fabric Create impactful visualizations and manage Hybrid tables Develop shared cloud connections and advanced scorecards Enhance report accuracy and dynamics using real-time data processing Implement efficient data governance and security measures within Power BI Who this book is for This book is designed for data analysts, business intelligence professionals, and anyone involved in data processing or analytics who seeks to enhance their skills with Power BI’s latest features and prepare for future advancements in the field |
| azure devops version history: Cloud Native Development with Azure Pavan Verma, 2024-03-19 Develop cloud-native skills by learning Azure cloud infrastructure offerings KEY FEATURES ● Master cloud-native development fundamentals and Azure services. ● Application security, monitoring, and efficient management. ● Explore advanced services like Azure Machine Learning & IoT Hub. DESCRIPTION Azure is a powerful cloud computing platform with a wide range of services. Reading this book can help you gain an in-depth understanding of these services and how to use them effectively. Being one of the most popular cloud computing platforms, having knowledge and skills in Azure can be a valuable asset in your career. Explore Microsoft Azure for cloud-native development. Understand its basics, benefits, and services. Learn about identity management, compute resources, and application building. Discover containerization with Azure Kubernetes Service and Azure Container Registry. Dive into microservices architecture and serverless development with Azure Functions. Understand security, monitoring, logging, and CI/CD pipelines with Azure DevOps. Finally, explore advanced services like Azure Machine Learning and Azure IoT Hub, with real-world case studies and insights into future trends. Azure is constantly evolving, with new features and services being added regularly. Reading books on Azure cloud can help you stay up-to-date with the latest developments in the platform and keep your skills current. WHAT YOU WILL LEARN ● Design and build scalable cloud-native apps. ● Utilize Azure services for identity, compute, and storage. ● Implement containerization for efficient packaging and deployment. ● Secure applications with robust Azure security features. ● Manage and monitor applications for optimal performance and reliability. WHO THIS BOOK IS FOR This book is ideal for software developers, architects, and cloud engineers looking to build and deploy modern, scalable applications on the Microsoft Azure cloud platform. TABLE OF CONTENTS 1. Introduction to cloud and cloud native development 2. Azure Services for Cloud Native Development 3. Data Storage Services on Azure Cloud 4. Azure Kubernetes and Container Registry 5. Developing Applications on Azure 6. Monitoring And Logging Applications on Azure 7. Security and Governance on Azure 8. Deploying Applications on Azure 9. Advance Azure Services 10. Case Studies and best practice 11. Generative AI and Future Trends |
| azure devops version history: A Developer's Guide to Cloud Apps Using Microsoft Azure Hamida Rebai Trabelsi, Marc-Andre Laniel, 2023-02-17 Build and deploy modern and secure applications on Microsoft Azure by implementing best practices, patterns, and new technologies with this easy-to-follow guide Purchase of the print or Kindle book includes a free PDF eBook Key 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 Description Companies 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 for This 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. |
| azure devops version history: Cloud Debugging and Profiling in Microsoft Azure Jeffrey Chilberto, Sjoukje Zaal, Gaurav Aroraa, Ed Price, 2020-04-11 Use this collection of best practices and tips for assessing the health of a solution. This book provides detailed techniques and instructions to quickly diagnose aspects of your Azure cloud solutions. The initial chapters of this book introduce you to the many facets of Microsoft Azure, explain why and how building for the cloud differs from on-premise development, and outline the need for a comprehensive strategy to debugging and profiling in Azure. You learn the major types of blades (FaaS, SaaS, PaaS, IaaS), how different views can be created for different scenarios, and you will become familiar with the Favorites section, Cost Management & Billing blade, support, and Cloud Shell. You also will know how to leverage Application Insights for application performance management, in order to achieve a seamless cloud development experience. Application Insights, Log Analytics, and database storage topics are covered. The authors further guide you on identity security with Azure AD and continuous delivery with CI and CD covered in detail along with the capabilities of Azure DevOps. And you are exposed to external tooling and trouble shooting in a production environment. After reading this book, you will be able to apply methods to key Azure services, including App Service (Web Apps, Function Apps, and Logic Apps), Cloud Services, Azure Container Service, Azure Active Directory, Azure Storage, Azure SQL Database, Cosmos DB, Log Analytics, and many more. What You Will LearnDebug and manage the performance of your applications Leverage Application Insights for application performance management Extend and automate CI/CD with the help of various build tools, including Azure DevOps, TeamCity, and Cake bootstrapper Who This Book Is For Application developers, designers, and DevOps personnel who want to find a one-stop shop in best practices for managing their application’s performance in the cloud and for debugging the issues accordingly |
| azure devops version history: Azure Serverless Computing Cookbook Praveen Kumar Sreeram, 2020-06-19 Discover recipes for implementing solutions to real-world business problems through serverless applications Key FeaturesTest, troubleshoot, and monitor Azure functions to deliver high-quality and reliable cloud-centric applicationsUnderstand Visual Studio's integrated developer experience for Azure functionsExplore best practices for organizing and refactoring code within the Azure functionsBook Description This third edition of Azure Serverless Computing Cookbook guides you through the development of a basic back-end web API that performs simple operations, helping you understand how to persist data in Azure Storage services. You'll cover the integration of Azure Functions with other cloud services, such as notifications (SendGrid and Twilio), Cognitive Services (computer vision), and Logic Apps, to build simple workflow-based applications. With the help of this book, you'll be able to leverage Visual Studio tools to develop, build, test, and deploy Azure functions quickly. It also covers a variety of tools and methods for testing the functionality of Azure functions locally in the developer's workstation and in the cloud environment. Once you're familiar with the core features, you'll explore advanced concepts such as durable functions, starting with a hello world example, and learn about the scalable bulk upload use case, which uses durable function patterns, function chaining, and fan-out/fan-in. By the end of this Azure book, you'll have gained the knowledge and practical experience needed to be able to create and deploy Azure applications on serverless architectures efficiently. What you will learnImplement continuous integration and continuous deployment (CI/CD) of Azure functionsDevelop different event-based handlers in a serverless architectureIntegrate Azure functions with different Azure services to develop enterprise-level applicationsAccelerate your cloud application development using Azure function triggers and bindingsAutomate mundane tasks at various levels, from development to deployment and maintenanceDevelop stateful serverless applications and self-healing jobs using durable functions Who this book is for If you are a cloud developer or architect who wants to build cloud-native systems and deploy serverless applications with Azure functions, this book is for you. Prior experience with Microsoft Azure core services will help you to make the most out of this book. |
| azure devops version history: .NET DevOps for Azure Jeffrey Palermo, 2019-10-21 Use this book as your one-stop shop for architecting a world-class DevOps environment with Microsoft technologies. .NET DevOps for Azure is a synthesis of practices, tools, and process that, together, can equip a software organization to move fast and deliver the highest quality software. The book begins by discussing the most common challenges faced by developers in DevOps today and offers options and proven solutions on how to implement DevOps for your team. Daily, millions of developers use .NET to build and operate mission-critical software systems for organizations around the world. While the marketplace has scores of information about the technology, it is completely up to you to put together all the blocks in the right way for your environment. This book provides you with a model to build on. The relevant principles are covered first along with how to implement that part of the environment. And while variances in tools, language, or requirements will change the needed implementation, the DevOps model is the architecture for the working environment for your team. You can modify parts of the model to customize it to your enterprise, but the architecture will enable all of your teams and applications to accelerate in performance. What You Will Learn Get your .NET applications into a DevOps environment in AzureAnalyze and address the part of your DevOps process that causes delays or bottlenecksTrack code using Azure Repos and conduct acceptance testsApply the rules for segmenting applications into Git repositoriesUnderstand the different types of builds and when to use eachKnow how to think about code validation in your DevOps environmentProvision and configure environments; deploy release candidates across the environments in AzureMonitor and support software that has been deployed to a production environment Who This Book Is For .NET Developers who are using or want to use DevOps in Azure but don’t know where to begin |
| azure devops version history: Lead Developer Career Guide Shelley Benhoff, 2024-11-19 Learn the skills you need to be a lead developer, with expert advice on mentoring teams, handling clients and project managers, and keeping your head in emergencies. In the Lead Developer Career Guide you’ll discover: What a lead developer does Writing effective technical documentation Improving development processes Communicating with non-technical clients Mentoring and inspiring a team Delivering negative feedback The Lead Developer Career Guide teaches you how to go from individual contributor to successful lead developer. It’s full of insider tips, tricks, and strategies taken from author Shelley Benhoff’s 20-year career in technology, with vital insights for navigating the challenges and expectations of the lead developer role. This one-of-a-kind book shows you how critical thinking and communication skills can upgrade your career. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology A successful lead developer is the tech expert responsible for mentoring fellow developers, making decisions about architecture, and ensuring that a team delivers quality software. This guide helps you grow from individual contributor into team leader. About the book Lead Developer Career Guide is filled with interviews and real-world case studies from industry professionals and esteemed tech experts. You’ll learn how to become the face for your development team, gathering feedback from your coworkers and communicating with clients and stakeholders. You’ll learn to reliably calculate project estimates and even plan a project from scratch. You’ll master mentoring techniques, learn how to maintain your mental health in stressful projects, and even battle imposter syndrome. By the time you’re finished, you’ll have a unique balance of soft skills and technical expertise. About the reader If you’re a junior developer, this guide will help you plan your career path to becoming a technical lead. If you’re a senior developer, you’ll master the leadership abilities that will turn your technical knowledge into an asset for your whole team. If you’re a team leader, hand this book to your best developer to help them mature into the role of lead. About the author Shelley Benhoff has over twenty years of experience in tech as a business owner, author, and speaker. She teaches leadership, communication, Docker, and Sitecore development. Shelley is currently a co-owner of HoffsTech, LLC. |
| azure devops version history: The DevOps Handbook Gene Kim, Jez Humble, Patrick Debois, John Willis, 2016-10-06 Increase profitability, elevate work culture, and exceed productivity goals through DevOps practices. More than ever, the effective management of technology is critical for business competitiveness. For decades, technology leaders have struggled to balance agility, reliability, and security. The consequences of failure have never been greater―whether it's the healthcare.gov debacle, cardholder data breaches, or missing the boat with Big Data in the cloud. And yet, high performers using DevOps principles, such as Google, Amazon, Facebook, Etsy, and Netflix, are routinely and reliably deploying code into production hundreds, or even thousands, of times per day. Following in the footsteps of The Phoenix Project, The DevOps Handbook shows leaders how to replicate these incredible outcomes, by showing how to integrate Product Management, Development, QA, IT Operations, and Information Security to elevate your company and win in the marketplace. |
| azure devops version history: Mastering Databricks Lakehouse Platform Sagar Lad, Anjani Kumar, 2022-07-11 Enable data and AI workloads with absolute security and scalability KEY FEATURES ● Detailed, step-by-step instructions for every data professional starting a career with data engineering. ● Access to DevOps, Machine Learning, and Analytics wirthin a single unified platform. ● Includes design considerations and security best practices for efficient utilization of Databricks platform. DESCRIPTION Starting with the fundamentals of the databricks lakehouse platform, the book teaches readers on administering various data operations, including Machine Learning, DevOps, Data Warehousing, and BI on the single platform. The subsequent chapters discuss working around data pipelines utilizing the databricks lakehouse platform with data processing and audit quality framework. The book teaches to leverage the Databricks Lakehouse platform to develop delta live tables, streamline ETL/ELT operations, and administer data sharing and orchestration. The book explores how to schedule and manage jobs through the Databricks notebook UI and the Jobs API. The book discusses how to implement DevOps methods on the Databricks Lakehouse platform for data and AI workloads. The book helps readers prepare and process data and standardizes the entire ML lifecycle, right from experimentation to production. The book doesn't just stop here; instead, it teaches how to directly query data lake with your favourite BI tools like Power BI, Tableau, or Qlik. Some of the best industry practices on building data engineering solutions are also demonstrated towards the end of the book. WHAT YOU WILL LEARN ● Acquire capabilities to administer end-to-end Databricks Lakehouse Platform. ● Utilize Flow to deploy and monitor machine learning solutions. ● Gain practical experience with SQL Analytics and connect Tableau, Power BI, and Qlik. ● Configure clusters and automate CI/CD deployment. ● Learn how to use Airflow, Data Factory, Delta Live Tables, Databricks notebook UI, and the Jobs API. WHO THIS BOOK IS FOR This book is for every data professional, including data engineers, ETL developers, DB administrators, Data Scientists, SQL Developers, and BI specialists. You don't need any prior expertise with this platform because the book covers all the basics. TABLE OF CONTENTS 1. Getting started with Databricks Platform 2. Management of Databricks Platform 3. Spark, Databricks, and Building a Data Quality Framework 4. Data Sharing and Orchestration with Databricks 5. Simplified ETL with Delta Live Tables 6. SCD Type 2 Implementation with Delta Lake 7. Machine Learning Model Management with Databricks 8. Continuous Integration and Delivery with Databricks 9. Visualization with Databricks 10. Best Security and Compliance Practices of Databricks |
| azure devops version history: ASP.NET Core 5 and React Carl Rippon, 2021-01-08 Build fully functional, cloud-ready, and professional web applications using the latest features in the .NET 5 framework and React.js with Microsoft Azure Key FeaturesExplore the new features of .NET 5 with this updated edition of ASP.NET Core 5 and ReactDiscover strategies for adopting a full-stack development approach, clean architecture techniques, and development best practicesLearn how to manage data, design and package applications, and secure your web appsBook Description Microsoft’s .NET framework is a robust server-side framework, now even more powerful thanks to the recent unification of the Microsoft ecosystem with the .NET 5 framework. This updated second edition addresses these changes in the .NET framework and the latest release of React. The book starts by taking you through React and TypeScript components for building an intuitive single-page application and then shows you how to design scalable REST APIs that can integrate with a React-based frontend. Next, you’ll get to grips with the latest features, popular patterns, and tools available in the React ecosystem, including function-based components, React Router, and Redux. As you progress through the chapters, you'll learn how to use React with TypeScript to make the frontend robust and maintainable and cover key ASP.NET 5 features such as API controllers, attribute routing, and model binding to build a sturdy backend. In addition to this, you’ll explore API security with ASP.NET 5 identity and authorization policies and write reliable unit tests using both .NET and React, before deploying your app on Azure. By the end of this book, you’ll have gained the knowledge you need to enhance your C# and JavaScript skills and build full-stack, production-ready applications with ASP.NET 5 and React. What you will learnBuild RESTful APIs with .NET 5 using API controllersSecure REST APIs with identity and authorization policiesCreate strongly typed, interactive, and function-based React components using HooksUnderstand how to style React components using Emotion.jsPerform client-side state management with ReduxRun a range of automated tests on the frontend and backendImplement continuous integration and continuous delivery (CI/CD) processes in Azure using Azure DevOpsWho this book is for If you're a web developer looking to get up to speed with full-stack web application development with .NET Core and React, this book is for you. Although the book does not assume any knowledge of React, a basic understanding of .NET Core will help you to get to grips with the concepts covered. |
| azure devops version history: Hands-on Azure Boards Chaminda Chandrasekara, Pushpa Herath, 2019-09-27 Understand and explore the features and management of Azure Boards with this book, which also covers Azure Boards configuration and advanced administration. This book starts by setting up projects with Azure DevOps and gives an overview of Azure Boards and its features. You will then learn to set up team projects and how to effectively use Azure Boards to plan and execute work. Hands-on Azure Boards explains customizations, where you will understand the available options to track your work considering different scenarios. Next, you will learn visualizing with queries, charts, and dashboards along with reporting of Azure Boards. The author gives you hands-on lessons to set up Azure Boards and shows you how to handle multiple modules that are taken care of by different teams. You will also explore the security options in Azure Boards as well as a detailed demonstration of working with the REST API and CLI. Finally, you will work with useful extensions for Azure Boards and see how to use them more effectively and efficiently. After reading this book, you will be able to work with the Azure Boards capabilities available in Azure DevOps on-premise server and services to improve your software delivery process. What You Will LearnPlan and manage work with Azure BoardsUse the REST API and command line interface with Azure BoardsExtend Azure Boards with useful extensions to enhance its capabilities Customize Azure Boards to adapt it to your processReport and visualize work progress with Azure Boards Who This Book Is For Anyone working in Azure DevOps developing applications targeting any platform using any language. |
| azure devops version history: Azure Data and AI Architect Handbook Olivier Mertens, Breght Van Baelen, 2023-07-31 Master core data architecture design concepts and Azure Data & AI services to gain a cloud data and AI architect’s perspective to developing end-to-end solutions Purchase of the print or Kindle book includes a free PDF eBook Key Features Translate and implement conceptual architectures with the right Azure services Inject artificial intelligence into data solutions for advanced analytics Leverage cloud computing and frameworks to drive data science workloads Book DescriptionWith data’s growing importance in businesses, the need for cloud data and AI architects has never been higher. The Azure Data and AI Architect Handbook is designed to assist any data professional or academic looking to advance their cloud data platform designing skills. This book will help you understand all the individual components of an end-to-end data architecture and how to piece them together into a scalable and robust solution. You’ll begin by getting to grips with core data architecture design concepts and Azure Data & AI services, before exploring cloud landing zones and best practices for building up an enterprise-scale data platform from scratch. Next, you’ll take a deep dive into various data domains such as data engineering, business intelligence, data science, and data governance. As you advance, you’ll cover topics ranging from learning different methods of ingesting data into the cloud to designing the right data warehousing solution, managing large-scale data transformations, extracting valuable insights, and learning how to leverage cloud computing to drive advanced analytical workloads. Finally, you’ll discover how to add data governance, compliance, and security to solutions. By the end of this book, you’ll have gained the expertise needed to become a well-rounded Azure Data & AI architect.What you will learn Design scalable and cost-effective cloud data platforms on Microsoft Azure Explore architectural design patterns with various use cases Determine the right data stores and data warehouse solutions Discover best practices for data orchestration and transformation Help end users to visualize data using interactive dashboarding Leverage OpenAI and custom ML models for advanced analytics Manage security, compliance, and governance for the data estate Who this book is forThis book is for anyone looking to elevate their skill set to the level of an architect. Data engineers, data scientists, business intelligence developers, and database administrators who want to learn how to design end-to-end data solutions and get a bird’s-eye view of the entire data platform will find this book useful. Although not required, basic knowledge of databases and data engineering workloads is recommended. |
| azure devops version history: DevOps Design Pattern Pradeep Chintale, 2023-12-29 DevOps design, architecture and its implementations with best practices KEY FEATURES ● Streamlined collaboration for faster, high-quality software delivery. ● Efficient automation of development, testing, and deployment processes. ● Integration of continuous monitoring and security measures for reliable applications. DESCRIPTION DevOps design patterns encompass a set of best practices aimed at revolutionizing the software development lifecycle. It introduces a collaborative and streamlined approach to bring together different aspects of development, testing, deployment, and operations. At its core, DevOps seeks to break down traditional silos between these functions, fostering a culture of cooperation and continuous communication among teams. This interconnectivity enables faster, higher-quality software delivery by eliminating bottlenecks. DevOps best practices offer significant benefits to DevOps engineers, enhancing their effectiveness and efficiency. Examine best practices for version control and dynamic environments closely, learn how to build once, deploy many, and master the art of continuous integration and delivery (CI/CD), reducing manual intervention and minimizing errors. Each chapter equips you with actionable insights, guiding you through automated testing, robust monitoring, and effective rollback strategies. You will confidently tap into the power of Infrastructure as Code (IaC) and DevSecOps methodologies, ensuring secure and scalable software delivery. Overall, DevOps best practices enable DevOps engineers to deliver high-quality, scalable, and secure software in a more streamlined and collaborative environment. WHAT YOU WILL LEARN ● Apply DevOps design patterns to optimize system architecture and performance. ● Implement DevOps best practices for efficient software development. ● Establish robust and scalable CI/CD processes with security considerations. ● Effectively troubleshoot issues and ensure reliable and resilient software. ● Seamlessly integrate security practices into the entire software development lifecycle, from coding to deployment. WHO THIS BOOK IS FOR Software Developers, Software Architects, Infrastructure Engineers, Operation Engineers, Cloud Engineers, Quality Assurance (QA) Engineers, and all DevOps professionals across all experience levels to master efficient software delivery through proven design patterns. TABLE OF CONTENTS 1. Why DevOps 2. Implement Version Control and Tracking 3. Dynamic Developer Environment 4. Build Once, Deploy Many 5. Frequently Merge Code: Continuous Integration 6. Software Packaging and Continuous Delivery 7. Automated Testing 8. Rapid Detection of Compliance Issues and Security Risks 9. Rollback Strategy 10. Automated Infrastructure 11. Focus on Security: DevSecOps |
| azure devops version history: Learning DevOps Mikael Krief, 2019-10-25 Simplify your DevOps roles with DevOps tools and techniques Key FeaturesLearn to utilize business resources effectively to increase productivity and collaborationLeverage the ultimate open source DevOps tools to achieve continuous integration and continuous delivery (CI/CD)Ensure faster time-to-market by reducing overall lead time and deployment downtimeBook Description The implementation of DevOps processes requires the efficient use of various tools, and the choice of these tools is crucial for the sustainability of projects and collaboration between development (Dev) and operations (Ops). This book presents the different patterns and tools that you can use to provision and configure an infrastructure in the cloud. You'll begin by understanding DevOps culture, the application of DevOps in cloud infrastructure, provisioning with Terraform, configuration with Ansible, and image building with Packer. You'll then be taken through source code versioning with Git and the construction of a DevOps CI/CD pipeline using Jenkins, GitLab CI, and Azure Pipelines. This DevOps handbook will also guide you in containerizing and deploying your applications with Docker and Kubernetes. You'll learn how to reduce deployment downtime with blue-green deployment and the feature flags technique, and study DevOps practices for open source projects. Finally, you'll grasp some best practices for reducing the overall application lead time to ensure faster time to market. By the end of this book, you'll have built a solid foundation in DevOps, and developed the skills necessary to enhance a traditional software delivery process using modern software delivery tools and techniques What you will learnBecome well versed with DevOps culture and its practicesUse Terraform and Packer for cloud infrastructure provisioningImplement Ansible for infrastructure configurationUse basic Git commands and understand the Git flow processBuild a DevOps pipeline with Jenkins, Azure Pipelines, and GitLab CIContainerize your applications with Docker and KubernetesCheck application quality with SonarQube and PostmanProtect DevOps processes and applications using DevSecOps toolsWho this book is for If you are a developer or a system administrator interested in understanding continuous integration, continuous delivery, and containerization with DevOps tools and techniques, this book is for you. |
| azure devops version history: Python for Excel Felix Zumstein, 2021-03-04 While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started. Use Python without extensive programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Use Python as a single tool to replace VBA, Power Query, and Power Pivot |
| azure devops version history: Mobile Development with .NET Can Bilgin, 2021-04-09 A mobile applications development masterclass for .NET and C# developers Key FeaturesUncover the new features and capabilities of the .NET 5 framework in this updated and improved second editionOptimize the time required to develop highly performant cross-platform applicationsUnderstand the architectural patterns and best practices for mobile application developmentBook Description Are you a .NET developer who wishes to develop mobile solutions without delving into the complexities of a mobile development platform? If so, this book is a perfect solution to help you build professional mobile apps without leaving the .NET ecosystem. Mobile Development with .NET will show you how to design, architect, and develop robust mobile applications for multiple platforms, including iOS, Android, and UWP using Xamarin, .NET Core, and Azure. With the help of real-world scenarios, you'll explore different phases of application development using Xamarin, from environment setup, design, and architecture to publishing. Throughout the book, you'll learn how to develop mobile apps using Xamarin and .NET Standard. You'll even be able to implement a web-based backend composed of microservices with .NET Core using various Azure services including, but not limited to, Azure Active Directory, Azure Functions. As you advance, you'll create data stores using popular database technologies such as Cosmos DB and data models such as the relational model and NoSQL. By the end of this mobile application development book, you'll be able to create cross-platform mobile applications that can be deployed as cloud-based PaaS and SaaS. What you will learnDiscover the latest features of .NET 5 that can be used in mobile application developmentExplore Xamarin.Forms Shell for building cross-platform mobile UIsUnderstand the technical design requirements of a consumer mobile appGet to grips with advanced mobile development concepts such as app data management, push notifications, and graph APIsManage app data with Entity Framework CoreUse Microsoft’s Project Rome for creating cross-device experiences with XamarinBecome well-versed with implementing machine learning in your mobile appsWho this book is for This book is for ASP.NET Core developers who want to get started with mobile development using Xamarin and other Microsoft technologies. Working knowledge of C# programming is necessary to get started. |
| azure devops version history: Agile, DevOps and Cloud Computing with Microsoft Azure Mitesh Soni, 2019-09-17 A step-by-step guide to understand Agile, Scrum, DevOps and Cloud Computing using Azure DevOps and Microsoft Azure Cloud DESCRIPTION Agile development and implementation of Scrum methodologies require quick delivery of applications. Manual activities to manage application lifecycle management are no longer sufficient. This book will cover the DevOps practices implementation that helps to achieve speed for faster time to market using transformation in culture using people, processes, and tools. Ê This book discusses the definition of Cloud computing and the benefits of Cloud Service Models. You will understand how Agile, DevOps practices implementation and Cloud computing can be utilized effectively to transform the culture of an organization. The main objective of this book is to demonstrate continuous practices of the DevOps culture using Microsoft Azure DevOps and Microsoft Azure Cloud. You will learn how to track features, user stories, backlogs, dashboards, and burndown charts. You will also learn how to create and manage repositories. This book gives an overview of Microsoft Azure Cloud and Azure App Services and a brief description of virtual machines and App Services. It summarizes Build and Release definitions available in Microsoft Azure DevOps and explains how to configure Pipelines and create end-to-end automation pipelines. KEY FEATURES _ÊLearn how to do Continuous Planning in Azure DevOps _ÊLearn the basics of Continuous Code Inspection and importance of Code Quality _ÊLearn how continuous integration can make a difference in the application life cycle _ÊLearn how to create and configure Cloud resources using Platform as a Service Model _ÊLearn how to perform continuous integration using the YAML script and continuous delivery pipeline using a release pipeline _ÊLearn how to configure monitoring for Platform as a Service resources WHAT WILL YOU LEARN By the end of the book, you will get an overview of Agile, Scrum, DevOps and Continuous Practices such as Continuous Integration, Continuous Delivery, Cloud Computing, and Continuous Code Inspection. You will learn how all these practices can be utilized in real-life scenarios with the sample applications. This book will provide detailed insights into Microsoft Azure Cloud, especially Platform as a Service Model. A step-by-step implementation guide of continuous practices of DevOps will help beginners to get started with. WHO THIS BOOK IS FOR ÊDevOps Evangelists, DevOps Engineers, Technical Specialists, Technical Architects, and Cloud Experts Basic knowledge of application development and deployment, Cloud computing, and DevOps practices BeginnersÊ Ê Table of ContentsÊ 1. An overview of Agile 2. Need for DevOps 3. An overview of Cloud Computing 4. Azure Boards 5. Azure Repos 6. Microsoft Azure Cloud 7. Microsoft Azure Cloud: IaaS and PaaS 8. Azure Pipelines: Continuous Integration and Continuous Delivery 9. Azure Pipelines Implementation |
| azure devops version history: Hands-on Azure Pipelines Chaminda Chandrasekara, Pushpa Herath, 2020-08-08 Build, package, and deploy software projects, developed with any language targeting any platform, using Azure pipelines. The book starts with an overview of CI/CD and the need for software delivery automation. It further delves into the basic concepts of Azure pipelines followed by a hands-on guide to setting up agents on all platforms enabling software development in any language. Moving forward, you will learn to set up a pipeline using the classic Visual Editor using PowerShell scripts, a REST API, building edit history, retention, and much more. You’ll work with artifact feeds to store deployment packages and consume them in a build. As part of the discussion you’ll see the implementation and usage of YAML (Yet Another Markup Language) build pipelines. You will then create Azure release pipelines in DevOps and develop extensions for Azure pipelines. Finally, you will learn various strategies and patterns for developing pipelines and go through some sample lessons on building and deploying pipelines. After reading Hands-on Azure Pipelines, you will be able to combine CI and CD to constantly and consistently test and build your code and ship it to any target. What You Will Learn Work with Azure build-and-release pipelines Extend the capabilities and features of Azure pipelines Understand build, package, and deployment strategies, and versioning and patterns with Azure pipelines Create infrastructure and deployment that targets commonly used Azure platform services Build and deploy mobile applications Use quick-start Azure DevOps projects Who This Book Is For Software developers and test automation engineers who are involved in the software delivery process. |
| azure devops version history: Mastering Microsoft Power BI Greg Deckler, Brett Powell, Leon Gordon, 2022-06-30 Plan, design, develop, and manage robust Power BI solutions to generate meaningful insights and make data-driven decisions. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesMaster the latest dashboarding and reporting features of Microsoft Power BICombine data from multiple sources, create stunning visualizations and publish Power BI apps to thousands of usersGet the most out of Microsoft Power BI with real-world use cases and examplesBook Description Mastering Microsoft Power BI, Second Edition, provides an advanced understanding of Power BI to get the most out of your data and maximize business intelligence. This updated edition walks through each essential phase and component of Power BI, and explores the latest, most impactful Power BI features. Using best practices and working code examples, you will connect to data sources, shape and enhance source data, and develop analytical data models. You will also learn how to apply custom visuals, implement new DAX commands and paginated SSRS-style reports, manage application workspaces and metadata, and understand how content can be staged and securely distributed via Power BI apps. Furthermore, you will explore top report and interactive dashboard design practices using features such as bookmarks and the Power KPI visual, alongside the latest capabilities of Power BI mobile applications and self-service BI techniques. Additionally, important management and administration topics are covered, including application lifecycle management via Power BI pipelines, the on-premises data gateway, and Power BI Premium capacity. By the end of this Power BI book, you will be confident in creating sustainable and impactful charts, tables, reports, and dashboards with any kind of data using Microsoft Power BI. What you will learnBuild efficient data retrieval and transformation processes with the Power Query M language and dataflowsDesign scalable, user-friendly DirectQuery, import, and composite data modelsCreate basic and advanced DAX measuresAdd ArcGIS Maps to create interesting data storiesBuild pixel-perfect paginated reportsDiscover the capabilities of Power BI mobile applicationsManage and monitor a Power BI environment as a Power BI administratorScale up a Power BI solution for an enterprise via Power BI Premium capacityWho this book is for Business Intelligence professionals and intermediate Power BI users looking to master Power BI for all their data visualization and dashboarding needs will find this book useful. An understanding of basic BI concepts is required and some familiarity with Microsoft Power BI will be helpful to make the most out of this book. |
| azure devops version history: Fundamentals of Analytics Engineering Dumky De Wilde, Fanny Kassapian, Jovan Gligorevic, Juan Manuel Perafan, Lasse Benninga, Ricardo Angel Granados Lopez, Taís Laurindo Pereira, 2024-03-29 Gain a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering Key Features Discover how analytics engineering aligns with your organization's data strategy Access insights shared by a team of seven industry experts Tackle common analytics engineering problems faced by modern businesses Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by a team of 7 industry experts, Fundamentals of Analytics Engineering will introduce you to everything from foundational concepts to advanced skills to get started as an analytics engineer. After conquering data ingestion and techniques for data quality and scalability, you’ll learn about techniques such as data cleaning transformation, data modeling, SQL query optimization and reuse, and serving data across different platforms. Armed with this knowledge, you will implement a simple data platform from ingestion to visualization, using tools like Airbyte Cloud, Google BigQuery, dbt, and Tableau. You’ll also get to grips with strategies for data integrity with a focus on data quality and observability, along with collaborative coding practices like version control with Git. You’ll learn about advanced principles like CI/CD, automating workflows, gathering, scoping, and documenting business requirements, as well as data governance. By the end of this book, you’ll be armed with the essential techniques and best practices for developing scalable analytics solutions from end to end.What you will learn Design and implement data pipelines from ingestion to serving data Explore best practices for data modeling and schema design Scale data processing with cloud based analytics platforms and tools Understand the principles of data quality management and data governance Streamline code base with best practices like collaborative coding, version control, reviews and standards Automate and orchestrate data pipelines Drive business adoption with effective scoping and prioritization of analytics use cases Who this book is for This book is for data engineers and data analysts considering pivoting their careers into analytics engineering. Analytics engineers who want to upskill and search for gaps in their knowledge will also find this book helpful, as will other data professionals who want to understand the value of analytics engineering in their organization's journey toward data maturity. To get the most out of this book, you should have a basic understanding of data analysis and engineering concepts such as data cleaning, visualization, ETL and data warehousing. |
| azure devops version history: Ultimate Azure Data Scientist Associate (DP-100) Certification Guide Rajib Kumar De, 2024-06-26 TAGLINE Empower Your Data Science Journey: From Exploration to Certification in Azure Machine Learning KEY FEATURES ● Offers deep dives into key areas such as data preparation, model training, and deployment, ensuring you master each concept. ● Covers all exam objectives in detail, ensuring a thorough understanding of each topic required for the DP-100 certification. ● Includes hands-on labs and practical examples to help you apply theoretical knowledge to real-world scenarios, enhancing your learning experience. DESCRIPTION Ultimate Azure Data Scientist Associate (DP-100) Certification Guide is your essential resource for achieving the Microsoft Azure Data Scientist Associate certification. This guide covers all exam objectives, helping you design and prepare machine learning solutions, explore data, train models, and manage deployment and retraining processes. The book starts with the basics and advances through hands-on exercises and real-world projects, to help you gain practical experience with Azure's tools and services. The book features certification-oriented Q&A challenges that mirror the actual exam, with detailed explanations to help you thoroughly grasp each topic. Perfect for aspiring data scientists, IT professionals, and analysts, this comprehensive guide equips you with the expertise to excel in the DP-100 exam and advance your data science career. WHAT WILL YOU LEARN ● Design and prepare effective machine learning solutions in Microsoft Azure. ● Learn to develop complete machine learning training pipelines, with or without code. ● Explore data, train models, and validate ML pipelines efficiently. ● Deploy, manage, and optimize machine learning models in Azure. ● Utilize Azure's suite of data science tools and services, including Prompt Flow, Model Catalog, and AI Studio. ● Apply real-world data science techniques to business problems. ● Confidently tackle DP-100 certification exam questions and scenarios. WHO IS THIS BOOK FOR? This book is for aspiring Data Scientists, IT Professionals, Developers, Data Analysts, Students, and Business Professionals aiming to Master Azure Data Science. Prior knowledge of basic Data Science concepts and programming, particularly in Python, will be beneficial for making the most of this comprehensive guide. TABLE OF CONTENTS 1. Introduction to Data Science and Azure 2. Setting Up Your Azure Environment 3. Data Ingestion and Storage in Azure 4. Data Transformation and Cleaning 5. Introduction to Machine Learning 6. Azure Machine Learning Studio 7. Model Deployment and Monitoring 8. Embracing AI Revolution Azure 9. Responsible AI and Ethics 10. Big Data Analytics with Azure 11. Real-World Applications and Case Studies 12. Conclusion and Next Steps Index |
| azure devops version history: Mastering Azure Serverless Computing Lorenzo Barbieri, Massimo Bonanni, 2019-11-22 Become an expert in implementing Azure Functions to work seamlessly with your serverless applications Key FeaturesDevelop scalable, robust multi-tier apps without worrying about infrastructure needsDeploy and manage cost-effective and highly available serverless apps using Azure FunctionsAccelerate enterprise-level application development by seamlessly integrating different cloud services with Azure FunctionsBook Description Application development has evolved from traditional monolithic app development to using serverless options and microservices. This book is designed to guide you through using Microsoft's Azure Functions to process data, integrate systems, and build simple APIs and microservices. You will discover how to apply serverless computing to speed up deployment and reduce downtime. You'll also explore Azure Functions, including its core functionalities and essential tools, along with understanding how to debug and even customize Azure Functions. In addition to this, the book will take you through how you can effectively implement DevOps and automation in your working environment. Toward the concluding chapters, you'll cover some quick tips, troubleshooting techniques, and real-world serverless use cases that will help you make the most of serverless computing. By the end of this book, you will have gained the skills you need to develop and deliver cost-effective Azure serverless solutions. What you will learnCreate and deploy advanced Azure FunctionsLearn to extend the runtime of Azure FunctionsOrchestrate your logic through code or a visual workflowAdd caching, security, routing, and filtering to your APIsUse serverless technologies in real-world scenariosUnderstand how to apply DevOps and automation to your working environmentWho this book is for This book is designed for cloud administrators, architects, and developers interested in building scalable systems and deploying serverless applications with Azure Functions. Prior knowledge of core Microsoft Azure services and Azure Functions is necessary to understand the topics covered in this book. |
| azure devops version history: DevSecOps for Azure David Okeyode, Joylynn Kirui, 2024-08-28 Gain holistic insights and practical expertise in embedding security within the DevOps pipeline, specifically tailored for Azure cloud environments Key Features Learn how to integrate security into Azure DevOps workflows for cloud infrastructure Find out how to integrate secure practices across all phases of the Azure DevOps workflow, from planning to monitoring Harden the entire DevOps workflow, from planning and coding to source control, CI, and cloud workload deployment Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionBusinesses must prioritize security, especially when working in the constantly evolving Azure cloud. However, many organizations struggle to maintain security and compliance. Attackers are increasingly targeting software development processes, making software supply chain security crucial. This includes source control systems, build systems, CI/CD platforms, and various artifacts. With the help of this book, you’ll be able to enhance security and compliance in Azure software development processes. Starting with an overview of DevOps and its relationship with Agile methodologies and cloud computing, you'll gain a solid foundation in DevSecOps principles. The book then delves into the security challenges specific to DevOps workflows and how to address them effectively. You'll learn how to implement security measures in the planning phase, including threat modeling and secure coding practices. You'll also explore pre-commit security controls, source control security, and the integration of various security tools in the build and test phases. The book covers crucial aspects of securing the release and deploy phases, focusing on artifact integrity, infrastructure as code security, and runtime protection. By the end of this book, you’ll have the knowledge and skills to implement a secure code-to-cloud process for the Azure cloud.What you will learn Understand the relationship between Agile, DevOps, and the cloud Secure the use of containers in a CI/CD workflow Implement a continuous and automated threat modeling process Secure development toolchains such as GitHub Codespaces, Microsoft Dev Box, and GitHub Integrate continuous security throughout the code development workflow, pre-source and post-source control contribution Integrate SCA, SAST, and secret scanning into the build process to ensure code safety Implement security in release and deploy phases for artifact and environment compliance Who this book is for This book is for security professionals and developers transitioning to a public cloud environment or moving towards a DevSecOps paradigm. It's also designed for DevOps engineers, or anyone looking to master the implementation of DevSecOps in a practical manner. Individuals who want to understand how to integrate security checks, testing, and other controls into Azure cloud continuous delivery pipelines will also find this book invaluable. Prior knowledge of DevOps principles and practices, as well as an understanding of security fundamentals will be beneficial. |
| azure devops version history: Mastering Azure Machine Learning Christoph Körner, Kaijisse Waaijer, 2020-04-30 Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes Key FeaturesMake sense of data on the cloud by implementing advanced analyticsTrain and optimize advanced deep learning models efficiently on Spark using Azure DatabricksDeploy machine learning models for batch and real-time scoring with Azure Kubernetes Service (AKS)Book Description The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud. The book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data experimentation, data preparation, and feature engineering using Azure Machine Learning and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure Automated Machine Learning and HyperDrive, and perform distributed training on Azure. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure Machine Learning, along with the basics of MLOps—DevOps for ML to automate your ML process as CI/CD pipeline. By the end of this book, you'll have mastered Azure Machine Learning and be able to confidently design, build and operate scalable ML pipelines in Azure. What you will learnSetup your Azure Machine Learning workspace for data experimentation and visualizationPerform ETL, data preparation, and feature extraction using Azure best practicesImplement advanced feature extraction using NLP and word embeddingsTrain gradient boosted tree-ensembles, recommendation engines and deep neural networks on Azure Machine LearningUse hyperparameter tuning and Azure Automated Machine Learning to optimize your ML modelsEmploy distributed ML on GPU clusters using Horovod in Azure Machine LearningDeploy, operate and manage your ML models at scaleAutomated your end-to-end ML process as CI/CD pipelines for MLOpsWho this book is for This machine learning book is for data professionals, data analysts, data engineers, data scientists, or machine learning developers who want to master scalable cloud-based machine learning architectures in Azure. This book will help you use advanced Azure services to build intelligent machine learning applications. A basic understanding of Python and working knowledge of machine learning are mandatory. |
| azure devops version history: Mastering Azure Machine Learning Christoph Korner, Marcel Alsdorf, 2022-05-10 Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning services Key Features Implement end-to-end machine learning pipelines on Azure Train deep learning models using Azure compute infrastructure Deploy machine learning models using MLOps Book Description Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps. The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning. The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets. By the end of this book, you'll be able to combine all the steps you've learned by building an MLOps pipeline. What you will learn Understand the end-to-end ML pipeline Get to grips with the Azure Machine Learning workspace Ingest, analyze, and preprocess datasets for ML using the Azure cloud Train traditional and modern ML techniques efficiently using Azure ML Deploy ML models for batch and real-time scoring Understand model interoperability with ONNX Deploy ML models to FPGAs and Azure IoT Edge Build an automated MLOps pipeline using Azure DevOps Who this book is for This book is for machine learning engineers, data scientists, and machine learning developers who want to use the Microsoft Azure cloud to manage their datasets and machine learning experiments and build an enterprise-grade ML architecture using MLOps. This book will also help anyone interested in machine learning to explore important steps of the ML process and use Azure Machine Learning to support them, along with building powerful ML cloud applications. A basic understanding of Python and knowledge of machine learning are recommended. |
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