COM032000 books

Real User Monitoring, Application Performance Monitoring, Alerting, and Dashboarding Using Elastic Stack Key Features -Numerous examples and visual representations of Elastic APM's capabilities. -Covers Elastic APM cloud deployment, Kubernetes clusters, and real-user monitoring. -Includes Kibana's visualization, Alerting and Dashboarding features. Description This book teaches an APM engineer how to monitor software services and applications in real time, including collecting detailed performance data on the response time for incoming requests, database queries, cache calls, and external HTTP requests. The book helps readers to explore the architecture and components of the Elastic APM stack. It also teaches you how to architect, deploy, and configure the Elastic APM stack to meet your specific requirements. The book focuses on monitoring and observability for applications and infrastructures built with Containers and Kubernetes. The book helps you configure APM capabilities like synthetic transaction and real-user transaction monitoring, integration with open-source tools like Prometheus, and data collection and processing using Logstash. Additionally, the book discusses how to use the Kibana dashboard features provided by Elastic APM in conjunction with alerting and dashboards to analyze the application's performance. Finally, the book teaches Site Reliability Engineers (SREs) how to meet service-level objectives through indicators such as availability, latency, quality, and saturation. What you will learn -Unleash the need and the applications of observability. -Learn to architect and deploy the Elastic APM stack. -Practice observability of monolithic and microservices-based applications. -Learn advanced observability of Containers and Kubernetes cluster infrastructure. -Uncover insights on user experience, uptime, and synthetic monitoring. -Learn to use Kibana for exploiting alerts and visualization features. Who this book is for Professionals in the fields of Application Performance Monitoring, Observability, Site Reliability Engineering, Software Development, AIOPS, and Cloud and Data Center Architecture will benefit greatly from this book. It would be beneficial, but not necessary, to have some knowledge of programming. Table of Contents 1. Introduction to Application Observability 2. Elastic Observability Features 3. Elastic Observability Deployment Architecture 4. Deployment of the Elastic Observability Platform 5. Use Case. Observability for a Containerized Java Application 6. Use Case. Observability for a Kubernetes-based Application 7. Observability for a .Net Core Application 8. Elastic Observability. User Experience, Uptime, and Synthetic Monitoring 9. Logstash Pipelines in Elastic Observability 10. Prometheus Integration with the Elastic Observability Platform 11. Machine Learning, Alerting, and Dashboards

Learning Bitcoin SV: The Original Bitcoin & Global Public Blockchain for Enterprise Key Features Get familiar with the working of the Bitcoin network, protocol, transactions, Smart contracts and the incentive models of Bitcoin. Learn advanced concepts such as Metanet and Tokenized protocol. Work with tools and utilities to build consumer and enterprise applications. Get a full explanation of cryptography and its math in Bitcoin. Description In 2008, Satoshi Nakamoto released a codebase and whitepaper for a network that came to be known as the Blockchain. It was the first successful attempt to create electronic money after decades of failed attempts across the world. However, the basis of its success is not just the digitalization of currency into electronic form, but its peer-to-peer node network and the public storage of all transactions in time-stamped blocks chained together called as Timechain in the whitepaper. It also introduces a non-trusted third party transaction processor, which replaces the current centralized trust-based systems. What happened next is history, and today, it is a multi-billion dollar industry across the world. Bitcoin Satoshi Vision Blockchain restored the original version of the Bitcoin protocol and it is now a thriving developer, business and enterprise ecosystem. This book offers a practical deep dive into every aspect of the Bitcoin protocol. It includes the math behind the Cryptography and a detailed overview of the application-level protocol, which works on top of the Bitcoin Blockchain network. It also focuses on the core principles and fundamental concepts of Bitcoin to explain the constructs of a Blockchain type system. What will you learn You will learn the internal workings of Bitcoin and get the ability to understand most blockchains that exist. Create applications using bitcoin as a public registry and a data storage ledger. Create and store data on Blockchain as DAG. Discover and get familiar with the advanced Application layer protocols. Get familiar with the law and regulations applicable to Bitcoin. Who this book is for This book is for anyone who is interested in exploring blockchain technology. It will appeal to Developers, Architects, Technology Managers and Executives who wish to build new or transform their existing applications to a blockchain based system to gain efficiencies in Cost, Scalability, Security and Robustness. Table of Contents 1. Bitcoin Protocol Overview : Origins and Concept 2. Economic model of Bitcoin and network structure for nodes 3. Cryptography and ECDSA Infrastructure 4. All about wallets 5. Transactions and Transaction Scripts 6. Miners and Nakamoto Consensus 7. Metanet Protocol : Data Structures on Blockchain 8. Bitcom and Other Application Protocols 9. Data Carrier Transactions : BitDB and Querying bitcoin as database 10. Planaria and other utilities 11. Real world Applications 12. Identity and Authentication on BitCoin : Paymail 13. Tokens and the Tokenized protocol for building real world utilities 14. Going into future : AI/ML, Big Data, IOT 15. BitCoin and Law About the Author Kapil Jain is a technology professional working in the IT departments of large US and European organizations working in the Banking and Financial industry. He has done his engineering degree from Sri GS institute of technology and sciences, Indore, and has played the role of programmer, business analyst, architect, project, and program manager over the 18 years of his experience in the industry. He continues to work in his professional capacity for a global bank’s core payment department.

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

Learn how to work towards making the most out of a career in emerging tech Key Features Understand the core concepts related to careers in emerging tech. Learn innovative, exclusive, and exciting ways to design a successful career in ET. Reduce your learning curve by examining the career trajectories of eminent ET professionals. Ways to evolve and adapt to changing ET paradigms. Practical perspective from the field. Description Cracking the emerging tech code will help you attain your Emerging Technology (ET) career goals faster without spending years in committing avoidable mistakes, recovering from them, and learning things the hard way. You can apply practical tips in areas such as improving your ability to craft market-friendly use cases and evolving a solution approach in new and diverse tech or business environments, to propel forward your career in strategic and proactive ways. It outlines ways in which you can explore and capitalize on hidden opportunities while working on important career aspects. The anecdotes and solutions provided will aid you in getting an inside out view to reduce your learning curve. This book will help you in gaining both magnitude and direction in your ET career journey and prevent you from getting overwhelmed or pinned down by the forces of ET. Authored by an ET professional, this book will take you through a series of steps to deepen your understanding of the forces that shape one’s ET career and successfully dealing with them. It also helps bust myths, addresses fallacies, and common misconceptions that could harm one’s career prospects. There are also practical and easy-to-adopt tips, methods, tracking mechanisms, and information that will improve career standing and professional growth. This book makes it easy for you to enhance your employability and job market relevance so that you can sprint towards a rewarding career. What will you learn Through this book, you will connect with ways and means to build a strong and rewarding emerging tech career. You will be able to work on identifying the right technology and employer, enhancing employability and differentiation in the job market, addressing challenges and connecting with enablers, accurate growth strategies and execution principles. Who this book is for This book is for current and aspiring emerging tech professionals, students, and anyone who wishes to understand ways to have a fulfilling career in emerging technologies such as AI, blockchain, cybersecurity, IoT, space tech, and more. Table of Contents 1. Introduction 2. The best ET for me and some myth bursting 3. Getting prepared and charting a roadmap 4. Identifying the requirements and getting help 5. Dealing with headwinds and drawing a career change action plan 6. Building an ET friendly résumé and finding the right employer 7. Getting hired through social media 8. Job search 9. Impressing the emerging tech jury 10. The secret sauce 11. Becoming a thought leader 12. Measuring success and making course corrections 13. Drawing the two-year plan 14. Building your leadership capabilities 15. To start-up or not? 16. Communications skills: getting it right 17. Building a personal brand 18. Post-script About the Authors Prayukth has been actively involved in productizing and promoting cross eco-system collaboration in the IoT space for over half-a-decade. In recent years, he has focused on exposing APT groups, global footprint, and in evaluating the evolving threat landscape surrounding IoT and OT environments. In his current role, he has taken Subex’s IoT business to new geographies. Your Linkedin profile: https://www.linkedin.com/in/prayukthkv/

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

Familiarize yourself with different effective strategies in Digital Marketing Key Features Understand the basics terminologies in Digital Marketing Understand the impact of Search Engine Optimization (SEO) on online business Identify important elements of E-mail marketing and its applicability in the digital world Get familiar with Mobile marketing and Web analytics tools Understand different Traditional Marketing and Digital Marketing techniques Description The book starts with the basic concepts of Marketing, benefits & opportunity of Digital Marketing and its usage in various domains of business. You will learn how to work with SEO, E-mail Marketing and Digital Display Advertising. The book will then cover the key metrics of SMM & Mobile marketing and Web analytics. This book not only focusses on Digital Marketing but also covers many real-world examples based on the latest Marketing strategies or techniques in Digital Marketing. What you will learn Get familiar with B2B SEO and B2C SEO strategies in Digital Marketing Understand the importance of gathering offline and online data in Email marketing Learn how to create and test landing pages Generate traffic and behavior report of marketers and targeted users Get familiar with the Web analytics tools and process. Who this book is for This book is for anyone interested in Digital Marketing. Professionals who are working in the Digital Marketing domain can use this book as a reference. Table of Contents 1. Introduction to Digital Marketing 2. Search Engine Optimization (SEO): The core of Digital Marketing 3. E-mail Marketing and Digital Display Advertising 4. Social Media Marketing 5. Mobile Marketing and Web Analytics About the Authors Dr. Shakti Kundu is working as Associate Professor in Faculty of Engineering & Computing Sciences at Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India. He received his Ph.D. in Computer Science & Engineering from DIT University, Dehradun, Uttarakhand, India, M.Tech. in Computer Science & Engineering from Guru Jambheshwar University of Science & Technology, Hisar, Haryana, India, M.Phil. in Computer Science from Chaudhary Devi Lal University, Sirsa, Haryana, India and M.C.A. from Kurukshetra University Kurukshetra, Haryana, India. His current research interests are Web Data Mining, Software Engineering, Information Security and Expert Systems. He brings to his classes, over 12+ years of teaching experience in TMU, Moradabad / DITU, Dehradun / IUU, Dehradun / LPU, Jalandhar and CRMC, Hisar, where he has taught subjects like Big Data Analytics, Software Engineering, System Analysis and Design, Multimedia System, Object Oriented Analysis & Design, Operating System and Data Mining. He also worked with various reputed universities and held administrative experience as well. He has chaired & delivered various technical sessions at national / international level and has published more than 37 research paper(s) in reputed journals and conferences, which are indexed in various international databases. Dr. Kundu edited 2 books and authored 10 book chapters in the field of Software Engineering and Digital Marketing with national and international publishers. Moreover, published 2 Patents in the field of artificial intelligence, machine learning and deep learning. Contributed as the organizer of many IEEE international conferences in association with IEEE such as SMART 2020, SMART 2019. He is a life member of CSI, ISTE, IAENG, AIRCC and IAEME. LinkedIn Profile: www.linkedin.com/in/dr-shakti-kundu-111a1621

Build robust and secure applications using the building blocks of Docker Key Features Understand the fundamentals of Containers. Understand the working of the entire Docker ecosystem. Learn how to utilize Docker Networking capabilities to its fullest. Learn how to secure Docker Containers. Get familiar and work with Docker Enterprise Edition. Description The book starts by introducing Containers and explains how they are different from virtual machines, and why they are the preferred tool for developing applications. You will understand the working of Images, Containers, and their associated Storage and will see how all the moving parts bind together to work synchronously. The book will then focus on Docker Swarm, the mechanism for orchestrating several running Docker containers. It then delves deeper into Docker Networking. Towards the end, you will learn how to secure your applications, especially by leveraging the native features of Docker Enterprise Edition. What will you learn Learn how to use Docker Images. Get to know more about Docker Storage. Learn how to use Volume plugins in Docker services. Learn how to deploy a service to the Swarm. Learn how to manage, scale, and maintain containerized applications. Who this book is for This book is for anyone who is looking to learn Docker. It is also useful for professionals who are looking to build and deploy web apps using Docker. Table of Contents 1. Introduction to Containerization and Docker 2. Containers and Images 3. Storage Drivers and Volumes 4. The Container Network Model and the Docker Bridge 5. Docker Swarm 6. Docker Networking 7. Docker Security-1 8. Docker Security-II About the Authors Saibal Ghosh has spent a substantial part of his career working with databases. However, in the last few years, he gravitated towards the cloud, cloud security, and newer technologies like Docker and Kubernetes. He has developed a deep understanding of these concepts and technologies bolstered by the insight gained from many years of experience working with applications, databases, storage and infrastructure, and the understanding of how data is stored, moved, and secured. He currently works as a Principal Architect in Ericsson India Ltd. and spends a substantial amount of time playing around with Docker and Kubernetes. He holds numerous certifications around applications, databases, cloud, and cloud security and is also a member of Leader’s Excellence, Harvard Square. Your LinkedIn Profile: https://www.linkedin.com/in/saibal-ghosh-mle%E2%84%A0-ccsk-prince2-%C2%AE-469b0a7/

Program edge devices by learning low-code programming and essentials of IoT systems. Key Features -In-depth practical demonstration of the IoT architecture with numerous examples. -Includes graphical illustrations and uses of popular full-stack tools. -Access to hardware components and software packages to build powerful IoT systems. Description Learn IoT Programming with Node-RED is an excellent source of practical knowledge for developing a successful Internet of Things system, starting with the very first step of programming a Raspberry Pi, and using numerous open-source software development tools. To begin, the book will provide you with a practical experience of visual programming, fundamentals of Node-RED, and the architecture of an Internet of Things system. The book covers data collecting capabilities and the development of real-time streaming functionalities. The book describes how to set up an Internet of Things infrastructure, manage software development, and integrate physical devices. The book provides IoT projects based on temperature and humidity data recorded as time series. It teaches you how to design the software using a simulated model of the hardware and use the same code to execute it in the actual hardware. Node-RED, Pusher, InfluxDB, and Grafana are some of the professional tools you will learn in this book. After reading the book, you will gain the knowledge to create your own applications that will be connected to the physical environment by means of a range of sensors. What you will learn -Create IoT systems with NodeRED visual programming. -Learn to transfer data from IoT devices to machines for analysis using Pusher, a free platform. -Store time-series data streams to InfluxDB. -Use NodeRED to process data and execute statistical calculations on the remote machine. -Create user-friendly Grafana dashboards for environmental monitoring. Who this book is for IoT engineers, roboticists, and embedded system programmers who are interested in learning low-code development and programming hardware devices may benefit from this book. Prior knowledge of Linux and Raspberry Pi may be helpful. Table of Contents 1. Introduction to IoT Applications and Their Software Architecture 2. Getting Started with NodeRED 3. Data Acquisition and Real-time Streaming 4. Real-time Data Processing with NodeRED 5. Storing and Graphing Data Streams with InfluxDB and Grafana 6. The IoT Hardware Package 7. The IoT Software Package

Refuel your AI Models and ML applications with High-Quality Optimization and Search Solutions Key Features Complete coverage on practical implementation of genetic algorithms. Intuitive explanations and visualizations supply theoretical concepts. Added examples and use-cases on the performance of genetic algorithms. Use of Python libraries and a niche coverage on the performance optimization of genetic algorithms. Description Genetic algorithms are one of the most straightforward and powerful techniques used in machine learning. This book ‘Learning Genetic Algorithms with Python’ guides the reader right from the basics of genetic algorithms to its real practical implementation in production environments. Each of the chapters gives the reader an intuitive understanding of each concept. You will learn how to build a genetic algorithm from scratch and implement it in real-life problems. Covered with practical illustrated examples, you will learn to design and choose the best model architecture for the particular tasks. Cutting edge examples like radar and football manager problem statements, you will learn to solve high-dimensional big data challenges with ways of optimizing genetic algorithms. What you will learn Understand the mechanism of genetic algorithms using popular python libraries. Learn the principles and architecture of genetic algorithms. Apply and Solve planning, scheduling and analytics problems in Enterprise applications. Expert learning on prime concepts like Selection, Mutation and Crossover. Who this book is for The book is for Data Science team, Analytics team, AI Engineers, ML Professionals who want to integrate genetic algorithms to refuel their ML and AI applications. No special expertise about machine learning is required although a basic knowledge of Python is expected. Table of Contents 1. Introduction 2. Genetic Algorithm Flow 3. Selection 4. Crossover 5. Mutation 6. Effectiveness 7. Parameter Tuning 8. Black-box Function 9. Combinatorial Optimization: Binary Gene Encoding 10. Combinatorial Optimization: Ordered Gene Encoding 11. Other Common Problems 12. Adaptive Genetic Algorithm 13. Improving Performance About the Author Ivan Gridin is a mathematician, fullstack developer, data scientist, and machine learning expert living in Moscow, Russia. Over the years, he worked on distributive high-load systems and implemented different machine learning approaches in practice. One of the key areas of his research is design and analysis of predictive time series models. Ivan has fundamental math skills in probability theory, random process theory, time series analysis, machine learning, deep learning, and optimization. He also has an in-depth knowledge and understanding of various programming languages such as Java, Python, PHP, and MATLAB. He is a loving father, husband, and collector of old math books. LinkedIn Profile: www.linkedin.com/in/survex Blog links: https://www.facebook.com/ivan.gridin/

A step-by-step guide to acquire knowledge of the SharePoint Framework (SPFx), build it from scratch, and gradually move towards developing practical examples. Key Features Master the concept of the SharePoint Framework (SPFx) Learn how to use various JavaScript libraries and frameworks with the SharePoint Framework Deploy SPFx solutions into CDNs (Azure Storage and O365 Public CDN) Learn SharePoint operations with SPFx Consume the Microsoft Graph and third-party APIs in SPFx Upgrade solutions from deployment scenarios Continuous integration and delivery pipelines for the SharePoint Framework solutions with Azure DevOps Develop practical scenarios Description This book aims to equip you with enough knowledge of the SharePoint Framework in conjunction with skills to use powerful tools such as Node.js, npm, Yeoman, Gulp, TypeScript, and so on to succeed in the role of a SharePoint developer. The book starts with a brief introduction to the SharePoint evolution across versions and the rise of the SharePoint Framework and the opportunities you may come across along with an overview of the key topics covered in the book. Who This Book is For The book is intended for anyone looking for a career in modern SharePoint, all aspiring SharePoint developers who want to learn the most powerful technique to extend the SharePoint user interface or working professionals who want to switch their career in SharePoint. Table of Contents 1. Getting Started with SharePoint Framework 2. Develop Your First SPFx Web Part 3. SPFx Web Part Property Pane 4. Custom Controls for Web Part Property Pane 5. PnP Controls for Web Part Property Pane 6. CSS Considerations 7. Configure SPFx Web Part Icon 8. Examine SPFx Web Parts on Modern SharePoint 9. Host SPFx Web Parts from MS Azure CDN 10. Host SPFx Web Parts from Office 365 Public CDN 11. Host SPFx Web Parts from SharePoint Document Library 12. Integrating jQuery with SPFx Web Parts 13. CRUD Operations with No Framework 14. CRUD Operations with React JS 15. CRUD Operations with Angular JS 16. CRUD Operations using Knockout JS 17. CRUD Operations with SP-PnP-JS 18. Transition to @pnp/sp from sp-pnp-js 19. SPFx Development with React JS 20. React Lifecycle Events in SPFx 21. AutoBind Control Events in SPFx 22. Partial State Update for React-based SPFx WebParts 23. Using Office UI Fabric in SPFx 24. Provision SharePoint Assets in SPFx Solution 25. Connect to MS Graph API with MSGraphClient 26. Connect to MS Graph API with AadHttpClient 27. SPFx Logging Mechanism 28. Debug SPFx Solutions 29. Overview of SPFx Extensions 30. SPFx Extension - Application Customizer 31. Extend Application Customizer with React Components 32. SPFx Extension - Field Customizer 33. SPFx Extension - ListView Command Set 34. Anonymously Call MS Azure Functions 35. Securing Azure Function with Azure Active Directory 36. Consume Azure AD Secured Function with SPFx 37. Implementing Separation of Concerns (SoC) 38. Localization Support for SPFx 39. Office 365 CLI 40. SPFx Solutions Upgrade 41. SPFx Solution Upgrade with Office 365 CLI 42. Common Issues and Resolutions with Upgrading npm Packages 43. Extend MS Teams with SPFx 44. Library Component Type 45. Develop Custom App Pages with SPFx 46. Optimizing SPFx Solutions 47. Unit Test with Jest and Enzyme 48. DevOps For SPFx About the Author Nanddeep Nachan is a results-oriented Technology Architect with over 14 years of experience in Microsoft Technologies, especially in SharePoint, Office 365, MS Azure, and Dot Net. LinkedIn Profile: https://www.linkedin.com/in/nanddeepnachan