COM091000 books

A step-by-step guide to understand Agile, Scrum, DevOps and Cloud Computing using Azure DevOps and Microsoft Azure Cloud Key Features Learn how to do Continuous Planning in Azure DevOps Learn the basics of Continuous Code Inspection and importance of Code Quality Learn how continuous integration can make a difference in the application life cycle Create and configure Cloud resources using Platform as a Service Model Learn how to perform continuous integration using the YAML script and continuous delivery pipeline using a release pipeline Learn how to configure monitoring for Platform as a Service resources 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. 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. What You Will 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 DevOps Evangelists, DevOps Engineers, Technical Specialists, Technical Architects, and Cloud Experts Basic knowledge of application development and deployment, Cloud computing, and DevOps practices Beginners Table of Contents 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 About the Author Mitesh Soni is an avid learner with 10 years of experience in the IT industry. He is an SCJP, SCWCD, and VCP. He is IBM Urbancode- and IBM Bluemix-certified, and is also a Certified Jenkins Engineer. He loves DevOps and cloud computing, and he also has an interest in programming in Java. He finds design patterns fascinating and believes that a picture is worth a thousand words. He occasionally contributes to clean-clouds and etutorials world websites. He loves to play with his kids, fiddle with his camera, and take photographs at Indroda Park.

Demystifying working in Azure Ecosystem for .NET Core Developers Key Features Discover and put to use the latest features in .NET Core 3.1 and Azure Functions V3 Learn how to debugging Azure Functions from Production, hosted on Cloud Understand the working of Application Key Management with Security aspects Description Every developer is striving hard to up-skill oneself from a developer to a Cloud developer and with the growing pace of cloud programming, this up-gradation is not simple. This book will help .NET Core developers to seamlessly cover this said journey. It covers the newly released .Net Core 3.0 / 3.1 features including, Azure Function V3. The book not only focusses on one way of working with Azure Cloud services but also includes another viable way of managing Azure resources with the software application. The book also touches base on some Azure products and services. From exploring the most used Azure services to touching the newest version of offerings, this book is aimed to cover everything from a developer perspective. Code exercise, Code blocks, azure service implementation, application secrets keys management, free super-fast hosting options along with live debugging of code hosted on Cloud, are some of the key take-aways from this book. What you will learn Develop a .NET core application with Azure App service Use Azure CosmosDB to manage database services Explore & work with Microsoft Azure Storage Able to have the best hosting option for Static Content web application Able to work with Azure Functions V3 using Visual Studio 2019 Able to implement best Key Management in the app on Azure Who this book is for This book is for aspiring Cloud developers with some experience in Microsoft cloud services. It is also for .NET Core developers who wish to learn and use Azure solutions. Table of Contents 1. Azure Ecosystem 2. My App on Cloud – Microsoft Azure 3. Application Backend - Azure CosmosDB 4. Working with Microsoft Azure Storage 5. Working with Microsoft Azure Storage as Hosting option 6. Securing Application secrets keys with Azure 7. Step towards Serverless approach About the Author Kasam Shaikh is Microsoft Azure AI Enthusiast, a certified Cloud Solution Architect, Global AI Speaker, a published author, and a community MVP. He also contributes to Microsoft Docs for Azure AI services and the product. He has more than 12 years of experience in the IT industry and is a regular speaker at various events on Microsoft Azure. He is also a founder of Dear Azure , AZ-INDIA online AzureAI community for learning Microsoft Azure and AI products and ‘Let Start Learning’ YouTube Channel. He has authored the very first book on Azure Bot service. Along with authoring, he is part of a technical reviewer panelist for various bestsellers book on Microsoft Azure. LinkedIn Profile: https://www.linkedin.com/in/kasamshaikh/ Blog links: https://www.kasamshaikh.com/

Build Azure functions and integrate them with Azure Cosmos DB data models Key Features Expert-led coverage on integrating Azure functions Industry-proven examples and best practices on implementation of Azure Cosmos DB Learn to work on performance optimization and error handling Integration of Azure function with other Azure services Description This book provides examples to start with Azure functions and Azure Cosmos DB. It demonstrates the features available in both of the mentioned Azure services and discusses them in detail with some real-world examples. Reading a csv file and write to a Cosmos DB table store, Read emails using Microsoft Graph API and save them in a Cosmos DB, Cosmos DB trigger function to send SMS notifications to clients, A queue trigger to create new nodes in the Cosmos DB graph data store are some of them. You will be able to see the above case studies with code samples implemented in C# .NET Core, TypeScript, and Python. It consists of a very basic example, two intermediate samples, then and an advanced level one. You will experience the triggers and input/output bindings available for a function, like queue trigger, blob trigger, and Cosmos DB trigger to name a few. Also, you will be able to see some interesting features available in Azure functions like performance optimizations, scalability of a function app, geographical distribution of the function in different locations, error handling, writing unit tests for the functions to avoid breaking changes, how to ensure a function app is secure, and then how to deploy a function, and monitor and troubleshoot a function app. At the end of this book, you will gain strong experience in using Azure functions and how to manage serverless applications seamlessly without any failure with utmost performance. What you will learn You will be able to create an Azure function and integrate it with many Azure services including the Azure Cosmos DB You will get experience implementing a function using programming languages like C# .NET Core, TypeScript, and Python. You will get hands-on experience on the performance optimizing of a function, how to scale them, how to apply security to the function app, error handling and testing in a function. Who this book is for This book is for developers who want to get the knowledge and experience in Azure Functions and Azure Cosmos DB. If you have a programming knowledge of .NET, TypeScript, Python, or any other programming language, it will be enough to understand the concepts and samples in this book. If you have worked with a cloud technology or have experience in any of the Azure cloud services, then it will be a definite advantage.. Table of Contents 1. Beginning Azure Function Apps 2. Your First Azure Function App 3. Let’s Get Started with Cosmos DB 4. Structure Your Data in Cosmos DB 5. Your First Cosmos DB 6. Serverless Design Patterns 7. Performance and Scalability of a Function App 8. Geo-Distribution in a Function App 9. Error Handling and Testing 10. Secure Your Function App 11. Deployments in a Function App 12. Monitor and Troubleshoot Function Apps 13. Azure Functions with Cosmos DB Table API 14. Azure Functions with Cosmos DB SQL API 15. Cosmos DB Trigger in Azure Function 16. Azure Functions with Cosmos DB Gremlin API About the Author Hansamali Gamage is an enthusiastic and dedicated professional with over eight years of experience in .NET stack, Azure, and front-end technologies. She has also been an MVP (Azure) for three consecutive years and is a Microsoft Certified Trainer. She is a frequent speaker at tech conferences and an award-winning writer on the Microsoft Tech Net forum. Blog links: http://hansamaligamage.blogspot.com/ LinkedIn Profile: https://www.linkedin.com/in/hansamali-gamage-37777a50/

Step-by-step guide to different data movement and processing techniques, using Google Cloud Platform Services Key Features Learn the basic concept of Cloud Computing along with different Cloud service provides with their supported Models (IaaS/PaaS/SaaS) Learn the basics of Compute Engine, App Engine, Container Engine, Project and Billing setup in the Google Cloud Platform Learn how and when to use Cloud DataFlow, Cloud DataProc and Cloud DataPrep Build real-time data pipeline to support real-time analytics using Pub/Sub messaging service Setting up a fully managed GCP Big Data Cluster using Cloud DataProc for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient manner Learn how to use Cloud Data Studio for visualizing the data on top of Big Query Implement and understand real-world business scenarios for Machine Learning, Data Pipeline Engineering Description Modern businesses are awash with data, making data-driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with enough knowledge of Cloud Computing in conjunction with Google Cloud Data platform to succeed in the role of a Cloud data expert. The current market is trending towards the latest cloud technologies, which is the need of the hour. Google being the pioneer, is dominating this space with the right set of cloud services being offered as part of GCP (Google Cloud Platform). At this juncture, this book will be very vital and will be cover all the services that are being offered by GCP, putting emphasis on Data services. What will you learn By the end of the book, you will have come across different data services and platforms offered by Google Cloud, and how those services/features can be enabled to serve business needs. You will also see a few case studies to put your knowledge to practice and solve business problems such as building a real-time streaming pipeline engine, Scalable Datawarehouse on Cloud, fully managed Hadoop cluster on Cloud and enabling TensorFlow/Machine Learning API’s to support real-life business problems. Remember to practice additional examples to master these techniques. Who this book is for This book is for professionals as well as graduates who want to build a career in Google Cloud data analytics technologies. One-stop shop for those who wish to get an initial to advance understanding of the GCP data platform. The target audience will be data engineers/professionals who are new, as well as those who are acquainted with the tools and techniques related to cloud and data space. -Individuals who have basic data understanding (i.e. Data and cloud) and have done some work in the field of data analytics, can refer/use this book to master their knowledge/understanding. -The highlight of this book is that it will start with the basic cloud computing fundamentals and will move on to cover the advance concepts on GCP cloud data analytics and hence can be referred across multiple different levels of audiences. Table of Contents 1. GCP Overview and Architecture 2. Data Storage in GCP 3. Data Processing in GCP with Pub/Sub and Dataflow 4. Data Processing in GCP with DataPrep and Dataflow 5. Big Query and Data Studio 6. Machine Learning with GCP 7. Sample Use cases and Examples

Unleash the power of cloud computing using Azure, AWS and Apache Hadoop Key Features Provides a sound understanding of the Cloud computing concepts, architecture and its applications Explores the practical benefits of Cloud computing services and deployment models in details Cloud Computing Architecture, Cloud Computing Life Cycle (CCLC), Load balancing approach, Mobile Cloud Computing (MCC), Google App Engine (GAE) Virtualization and Service-Oriented Architecture (SOA) Cloud Computing applications - Google Apps, Dropbox Cloud and Apple iCloud and its uses in various sectors - Education, Healthcare, Politics, Business, and Agriculture Cloud Computing platforms - Microsoft Azure, Amazon Web Services (AWS), Open Nebulla, Eucalyptus, Open Stack, Nimbus and The Apache Hadoop Architecture Adoption of Cloud Computing technology and strategies for migration to the cloud Cloud computing adoption case studies - Sub-Saharan Africa and India Description With the advent of internet, there is a complete paradigm shift in the manner we comprehend computing. Need to enable ubiquity, convenient and on-demand access to resources in highly scalable and resilient environments that can be remotely accessed, gave birth to the concept of Cloud computing. The acceptance is so rapid that the notion influences sophisticated innovations in academia, industry and research world-wide and hereby change the landscape of information technology as we thought of. This book begins with the fundamentals of cloud computing, its service and deployment models, architecture, as well as applications and platforms. It presents some key enterprise strategies and models for the adoption of and migration to cloud. Privacy and security issues and challenges also form a major part of our discussion in the book as well as case studies of cloud computing adoption in Sub-Saharan Africa and India. The book concludes with a discussion of several advanced topics, such as Amazon Web Services (AWS), Open Nebulla, Microsoft Azure, Apache Hadoop and Google App Engine (GAE). What you will learn Learn about the Importance of Cloud Computing in Current Digital Era Understand the Core concepts and Principles of Cloud Computing with practical benefits Discover how Cloud Computing Architecture works Learn about the Load balancing approach and Mobile Cloud Computing (MCC) Learn about the Virtualization and Service-Oriented Architecture (SOA) concepts Learn about the various Cloud Computing applications, Platforms and Security concepts Understand the adoption Cloud Computing technology and strategies for migration to the cloud Who This Book is For This book is intended for students of B.E., B.Tech., B.Sc., M.Sc., M.E., and M.Tech. as a text book. The content is designed keeping in mind the bench marked curriculum of various universities (both National and International). Aspiring Cloud Computing Researchers Instructors, Academicians and Professionals, if they are familiar with cloud, can use this book to learn various open source cloud computing tools, applications, technologies. They will also get a flavor of various international certification exams available. Table of Contents Foundation of Cloud Computing Cloud Services and Deployment Models Cloud Computing Architecture Virtualization Technology Service Oriented Architecture (SOA) Cloud Security and Privacy Cloud Computing Applications Cloud Computing Technologies, Platform and Services Adoption of Cloud Computing

Getting familiar with cloud computing features from scratch to advanced. Description Cloud computing is a technology that allows you to store, access data and programs over the internet instead of the hard drive or a server. In this book, you will gain knowledge about the fundamentals of cloud computing. This book includes a detailed description of the features of the cloud, the importance of cloud in today’s era, and uses of cloud computing. This book provides you with a deep knowledge of the basics of cloud computing. You will learn about the characteristics, architecture, and uses and importance of cloud computing. This book also explores the concept of scalability and redundancy regarding cloud computing. You will learn about the various cloud deployment and service models. You will also gain knowledge of virtualization technology. You will also have a guided tour of concepts related to cloud management, data storage and security, and cloud operations and technologies. At the end of the book, you will learn about the advanced concepts of cloud computing and also learn about mobile cloud computing. What you will learn -In-depth understanding on the fundamentals of cloud computing. -Explore the role and importance of cloud computing across businesses and enterprises. -Learn about cloud deployment models and service models. -Gain knowledge on cloud storage, cloud security, administration of cloud and mobile cloud computing. Who this book is for This book is open to all graduates, beginners and working professionals to help them understand everything about cloud computing and how to operate in a cloud environment. Table of Contents 1. Introduction 2. Architecture and Applications 3. Scalability and Redundancy 4. Cloud Services 5. Cloud Deployment Models 6. Virtualization 7. Management 8. Data Storage and Security 9. Operations and Challenges 10. Technologies and Service Providers 11. Cloud Cube Model 12. Mobile Cloud Computing About the Authors Surbhi Rastogi is a young, keen learner, and dedicated author who has been writing books for about eleven years. She obtained her MCA degree from Garhwal University and graduated from Kurukshetra University. She has written many books on Computers in English and Hindi which have been used as textbooks in various Universities. Her book ‘Programming in Java’ was awarded a prize in technical writing from AICTE. LinkedIn profile: https://www.linkedin.com/in/surbhi-rastogi-1196b416b

Design customized software solutions using the Salesforce Application Development services. Key Features Get an overview of Salesforce Understand the Design and Data Process Automate Business Process using Salesforce tools Study up on Security & Data Management in Salesforce Learn how to write code on the Salesforce Platform Description This book enables you to use Salesforce as per your business needs. You will get an overview of all the aspects and features of Salesforce. Following the introduction, the book focuses on how to design an app. You will then learn how to use the Salesforce Data Process and Security Architecture in the app design. Moving on, you will understand how to use force.com to customize the UI and automate the process. Lastly, you will learn how to deploy and debug the app. If you are planning to get a PD1(Platform Developer 1), Admin, or App builder certification, this book is for you. What you will learn Get to know more about the Lightning Experience Unit Learn how to develop reports and dashboards in Salesforce Get familiar with the basics of Salesforce Apex Coding and Programming Learn how to use Custom Controllers and Controller Extensions in Salesforce Who this book is for This book is designed for Computer Science students who want to learn Salesforce. It is also for Salesforce Admins, who wants to explore the coding part of Salesforce. This book will also help professionals to clear PD1(Platform Developer 1), Admin, and App builder certification. Table of Contents 1. Introduction to Cloud Computing 2. Salesforce Fundamentals 3. Introduction to Salesforce Lightning Interface 4. Introduction to CRM 5. Organisational Set up 6. Designing Applications on Force.com 7. Implementing Business Processes 8. Data Management 9. Data Analytics - Reports & Dashboards 10. SECURITY AND ACCESS 11. Introduction to Chatter 12. Mobile Administration 13. Programming with Apex 14. Use SOQL & SOSL 15. DML Essentials 16. Trigger Essential 17. Creating Visualforce Pages 18. Working with Custom Controllers and Controller Extensions 19. More Customization Less Programming 20. Testing Essentials 21. Scheduler, Batch, Email Service, Integration 22. Debugging & Deployment About the Authors Ashwini Kr. Raj Some people are borne to teach as it’s in their DNA - a desire to teach what they know with a larger audience, and Ashwini exemplifies the same. He has tenacious commitment and passion for training/teaching. He has managed many projects with implementation of Project Management practices and Six Sigma quality standards across the globe by putting his footprints in Malaysia, China, South Africa, Srilanka, Indonesia, Nigeria, and Vietnam. LinkedIn Profile: https://www.linkedin.com/in/ashwinikumarraj/ Facebook : https://www.facebook.com/ashwini.k.raj Saifullha Saifi Hope for the Best, prepare for the worst. Based on this principle Saifullah makes things happen. Saifullah Saifi is a passionate salesforce Developer having 4 years of Experience in IT Industry. In his early professional career , he started writing a blog to inspire many to learn salesforce.(CoderInMe.com) Saifullah is a proud Alumnus of Aligarh Muslim University having an MCA degree. He is currently working as a Sr Salesforce Developer with one of the big5 companies. LinkedIn Profile: https://www.linkedin.com/in/hasectic// Facebook : https://www.linkedin.com/in/saifinazra

Deploy serverless and scalable cloud-native applications with Jakarta EE Key Features -Example-driven approach crafted specially for developers and architects. -Covers all core areas for cloud-native development. -Step-by-step implementation of core concepts, including application scalability and security, serverless, and containerization. Description The book helps readers to get a basic understanding of features provided by the cloud and core concepts of cloud native development. A hands-on approach makes sure that after reading the book, one can straight away implement the concepts in their daily design and development activities. The book starts with the basics of cloud computing and moves on to understanding the core concepts to create a production-ready cloud-native application. The book helps readers to develop a code that is testable and maintainable to support Agile cloud native development. This book also talks about the security and scalability aspects of applications which are the backbone of any large-scale application. The book covers advanced cloud native application development approaches using containers and serverless approaches. The book will help readers to get ready for a cloud native development journey. Whether one is creating a small application or a large scale application, core concepts explained in this book remain relevant and will work as a guiding light for developers and architects. What you will learn -Explains the core features that are part of cloud computing. -Build applications that are fast to market due to testability and maintainability. -Build applications that are secured against vulnerabilities. -Build applications that are easy to scale. Who this book is for The book is meant for software developers, architects and technical readers who want to learn about Cloud-based application development. Basic knowledge of the Java programming language or Jakarta EE platform is expected to understand code examples used in the book. Table of Contents 1. Introduction to Cloud Computing 2. Design for Cloud 3. Major Players in Cloud Computing 4. Sample Application Using Jakarta EE 5. Testing Cloud-Native Applications 6. Continuous Integration and Continuous Delivery 7. Securing Cloud-Based Applications 8. Scalability 9. Monitoring, Alerting, and Reporting 10. Containers 11. Serverless Computing 12. Best Practices for Developing Cloud-Native Applications About the Authors Kamalmeet Singh, has 16 years of experience in the IT Industry. He has worked in bootstrapping startups as well as Fortune 500 companies. He has worked in different technologies and domains. The technologies he has worked on range from Cloud computing, Machine Learning, Augmented reality, Serverless applications, Microservices, Mobile applications, Java, Python, ROR, C#, and so on. He has co-authored two books on Java design patterns and microservices. He is passionate about cloud computing and exploring the power of the LinkedIn profile: https://www.linkedin.com/in/meenukohli78/

Primer into the multidisciplinary world of Data Science Key Features Explore and use the key concepts of Statistics required to solve data science problems Use Docker, Jenkins, and Git for Continuous Development and Continuous Integration of your web app Learn how to build Data Science solutions with GCP and AWS Description The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. The book will pose questions to the learners to solve the problems and build the problem-solving aptitude and effectively learn. The book uses Mathematics wherever necessary and will show you how it is implemented using Python with the help of an example dataset. What you will learn Understand the multi-disciplinary nature of Data Science Get familiar with the key concepts in Mathematics and Statistics Explore a few key ML algorithms and their use cases Learn how to implement the basics of Data Pipelines Get an overview of Cloud Computing & DevOps Learn how to create visualizations using Tableau Who this book is for This book is ideal for Data Science enthusiasts who want to explore various aspects of Data Science. Useful for Academicians, Business owners, and Researchers for a quick reference on industrial practices in Data Science. Table of Contents 1. Data Science in Practice 2. Mathematics Essentials 3. Statistics Essentials 4. Exploratory Data Analysis 5. Data preprocessing 6. Feature Engineering 7. Machine learning algorithms 8. Productionizing ML models 9. Data Flows in Enterprises 10. Introduction to Databases 11. Introduction to Big Data 12. DevOps for Data Science 13. Introduction to Cloud Computing 14. Deploy Model to Cloud 15. Introduction to Business Intelligence 16. Data Visualization Tools 17. Industry Use Case 1 – FormAssist 18. Industry Use Case 2 – PeopleReporter 19. Data Science Learning Resources 20. Do It Your Self Challenges 21. MCQs for Assessments About the Author The book has been written by collective experience of many of Probyto past client projects, academic collaborations and team members for last 5 years. The collective work is represented by different experts in data driven decision making and portion they deal with in creating value for the clients at Probyto. The team has experienced professionals and freshers who have gained from the approach as mentioned in the book as well. Two key contributions for the book goes to Parvej Reja Saleh (Manager) and Namachivayam Dharmalingam (Senior Analyst). Blog links: https://probyto/resources/blogs LinkedIn Profile: https://www.linkedin.com/company/probyto

Guide to designing and developing cloud native applications in Azure Key Features Basics of Cloud Native Applications Designing Microservices Different cloud native options for developing Cloud Native Applications in Azure BOTs, Web Apps, Mobile Apps, Logic Apps, Service Bus, Azure Functions Azure IOT Applications Azure Machine Learning Basics Enterprise Digital Journeys Description The mainstreaming of the cloud-native architecture as an enterprise discipline is well underway. According to the Forbes report, in January 2018, 83% of enterprise workloads will be in the cloud by 2020, 41% of enterprise workloads will run on public cloud platforms while another 22% will be running on hybrid cloud platforms. Customers are embarking on enterprise digital transformation journeys. Adopting cloud, cloud-native architectures, and microservices is an important aspect of the journey. This book starts with a brief introduction to the basics of cloud-native applications and cloud-native application patterns. It covers cloud-native options available in Azure. The objective of the book is to provide practical guidelines to an architect/designer/consultant/developer who is part of the Cloud application definition team. The book articulates a methodology that the implementation team needs to follow in a systematic manner and adapt them to fulfill the requirements for enabling the cloud-native application. It emphasizes on the interpersonal skills and techniques for organizing and directing the cloud-native definition, leadership buy-in, and leading the transition from planning to implementation. It also highlights steps to be followed and the patterns for developing cloud-native applications, cloud-native options available in Azure, developing BOT, and microservices based on Azure. It also covers how to develop simple IoT applications, Machine learning-based applications, and the serverless architecture using Azure with a practical and pragmatic approach. This book embraces a structured approach around the following key themes that represent the typical phases an enterprise traverses during its cloud-native application journey. What You Will Learn This book aims to: Demonstrate the importance of cloud-native applications in elevating the effectiveness of organizational transformation programs and digital enterprise journeys using MS Azure. Disseminate current advancements and thought leadership in the area of cloud-native architecture in the context of digital enterprises. Provide initiatives with evidence-based, credible, field-tested and practical guidance in designing their respective architectures. Who this book is for The book is intended for anyone looking for a career in Cloud technology, especially all aspiring Cloud Architects who want to learn cloud-native architectures, Microservices, IoT, BOT and Microsoft Azure platform. Table of Contents 1. Basics of Cloud Native Applications 2. Cloud Native Application Patterns 3. Cloud Native Options available in Azure – BOTs, Logic Apps, Service Bus, Azure Microservices, ML services 4. Developing a Simple BOT using .NET Core 5. Developing Cloud Native applications leveraging Microservices and Azure API Gateway 6. Developing Integration capabilities using serverless architecture 7. Developing a simple IoT application 8. Developing a simple ML based application 9. Different enterprise use cases which enable digital transformation using Cloud Native Applications