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How about learning Azure Web Apps deploying Java and Spring Boot Applications to Azure using Azure App Service and Azure Web Apps ? Do you have ZERO experience with Microsoft Azure ? No Problem. Learn Azure Fundamentals? Yes. Deploy REST API to Azure? Yes. Deploy Full Stack to Azure? Yes. Of Course. Hands-on? Of course. Do you want to learn to Deploy Java Spring Boot Applications to Microsoft Azure using Azure App Service and Azure Web Apps with an easy to learn, step by step approach? Are you ready to learn about the cloud with Azure and take the next step in your Java programming career? Do you want to join 500,000+ learners having Amazing Learning Experiences with in28Minutes? Look No Further! COURSE OVERVIEW Spring Boot is the No 1 Java Framework to develop REST API and Microservices. Azure is one of the Top Cloud Service Providers today. How about learning Azure by deploying Spring Applications to Cloud using Azure Web Apps and Azure App Service? In this course, we deploy a variety of Spring Boot Applications to the Cloud: REST APIs - Hello World and Todo - Jar Todo Web Application War Full Stack Application with React and Spring Boot Single Container with Java REST API Multi Container with Todo REST API talking to MySQL This course would be a perfect first step as an introduction to Azure and the Cloud, especially for Java Developers. You will learn about automating deployments with Azure and creating a continuous delivery pipeline with Azure DevOps. You will learn how to Auto Scale applications based on load as well as deploy multiple instances behind a load balancer using Azure App Service. You will be using a number of Azure Services - Azure App Service, Azure Web Apps, Azure DevOps, Azure Database for MySQL Services, Resource Groups, Azure App Service Plans, and Azure Subscriptions. You will be using deploying a variety of Java Spring Boot projects to Azure (Azure). These projects are created with React (Frontend Framework), Spring Boot (REST API Framework), Spring (Dependency Management), Spring Security (Authentication and Authorization - Basic and JWT), BootStrap (Styling Pages), Maven (dependencies management), Node (npm), Visual Studio Code (TypeScript IDE), Eclipse (Java IDE) and Tomcat Embedded Web Server. We will help you set up each one of these. WHAT TO EXPECT FROM EVERY IN28MINUTES COURSE in28Minutes offers 30 Best Selling Courses providing Amazing Learning Experiences to 500,000 Learners across the world. Each of these courses come with Amazing Hands-on Step By Step Learning Experiences Real Project Experiences using the Best Tools and Frameworks Friendly Support in the Q&A section Free Udemy Certificate of Completion on Completion of Course HERE ARE A FEW REVIEWS ON THE IN28MINUTES WAY 5 STARS - Excellent, fabulous. The way he has prepared the material and the way he teaches is really awesome. What an effort .. Thanks a million 5 STARS - A lot of preparation work has taken place from the teacher and this is visible throughout the course. 5 STARS - This guy is fantastic. Really. Wonderful teaching skills, and goes well out of his way to make sure that everything he is doing is fully understood. This is the kind of tutorial that gets me excited to work with a framework that I may otherwise not be. 5 STARS - The best part of it is the hands-on approach which the author maintained throughout the course as he had promised at the beginning of the lecture. He explains the concepts really well and also makes sure that there is not a single line of code you type without understanding what it really does. 5 STARS - I also appreciate the mind and hands approach of teaching something and then having the student apply it. It makes everything a lot clearer for the student and uncovers issues that we will face in our project early. 5 STARS - Amazing course. Explained super difficult concepts (that I have spent hours on the internet finding a good explanation) in under 5 minutes. Start Learning Now. Hit the Enroll Button! COURSE HIGHLIGHTS Getting Started with the course Step 00 - Deploying Spring Boot Applications with Azure Web Apps - Introduction Step 01 - Getting Started with the Course Getting Started with Azure Step 01 - Creating an Azure Account Step 02 - 10000 Feet Overview of Cloud, Azure and Azure Web Apps Getting Started with Azure Web Apps Step 01 - Getting started with Azure Web Apps - Creating First Application and Environment Step 02 - Quick Exploration of Azure Web Apps Step 03 - Quick Introduction to Azure App Service Plans Step 04 - Quick Introduction to Kudu Console Step 05 - Searching efficiently for Azure resources and deleting Resource Groups Step 06 - Exploring Cloud Best Practices - Minimize Costs Deploying Java Spring Boot Hello World REST API to Azure Web Apps Step 01 - Importing Four Spring Boot Projects from Github Step 02 - Running 01 Spring Boot Hello World Application in Local Step 03 - Deploy Spring Boot Application to Azure Web Apps - 1 - Azure Web App Maven Plugin Step 04 - Deploy Spring Boot Application to Azure Web Apps - 2 - Install Azure CLI Step 05 - Deploy Spring Boot Application to Azure Web Apps - 3 Step 06 - Deploy Spring Boot Application to Azure Web Apps - 4 - Deploying new version Step 07 - Review Log Streams and Tail Web App Logs using Azure CLI Step 08 - Exploring Cloud Best Practices - Regions Deploying Java Spring Boot H2 Web App to Azure Web Apps Step 01 - Running 02 Spring Boot H2 Web App on Local Step 02 - Deploying 02 Spring Boot H2 Web App WAR to Azure Web Apps Step 03 - Testing 02 Spring Boot H2 Web App Azure Deployment Step 04 - Exploring Cloud Best Practices - Azure Resource Management Deploying Java Spring Boot Web App talking to MySQL with Azure App Service Step 01 - Code Review of 03 Spring Boot MySQL Web App Step 02 - Running MySQL as Docker Container on Local Step 03 - Connect 03 Spring Boot MySQL Web App to MySQL on Local Step 04 - Creating MySQL Database in Azure Step 05 - Deploy 03 Spring Boot MySQL Web App to Azure Web Apps Step 06 - Connect 03 Spring Boot App to Azure MySQL Database - Environment Variables Step 07 - Using Azure Cloud Shell to Create Database Step 08 - Connecting to Azure MySQL for Local Machine Step 09 - Create Azure MySQL Database using Azure CLI Step 10 - Delete Resource Groups for Azure Web Apps and Databases Deploying Java Full Stack Spring Boot React App with Azure App Service Step 01 - Exploring 04 Java Full Stack Spring Boot React App Step 02 - Running React Frontend in Local Step 03 - Deploying Java REST API Backend using Azure App Service Step 04 - Deploying React Frontend using Azure App Service Deploying Containerized Java Applications with Azure Web Apps Step 01 - Code Review for 05 Single Container Java Spring Boot REST API Step 02 - Creating and Running Local Docker Image for 05 Java Spring Boot REST API Step 03 - Pushing Java Spring Boot REST API Docker Image to Docker Hub Step 04 - Deploying Java Spring Boot REST API Docker Image to Azure App Service - Part 1 Step 05 - Deploying Java Spring Boot REST API Docker Image to Azure App Service - Part 2 Step 06 - Running 06 Multi Container Java Spring Boot App with MySQL on Local Step 07 - Running 06 Multi Container Java Spring Boot App with MySQL using Docker Compose Step 08 - Deploying Docker Compose Java Spring Boot App with MySQL to Azure - Part 1 Step 09 - Deploying Docker Compose Java Spring Boot App with MySQL to Azure - Part 2 Azure App Service - Creating Auto Scaling Environments Step 01 - Exploring Manual Scaling and ARR Affinity of Azure Web Apps Step 02 - Exploring Auto Scaling features of Azure App Service Step 03 - Creating Deployment Slot for Staging Environment Step 04 - Swap Stage and Production Environments - Blue Green Deployment Step 05 - Exploring Canary Deployments with Azure App Service Continuous Delivery for Java Spring Boot Applications with Azure DevOps Step 01 - Getting Started with Continuous Delivery - Create Github Repository Step 02 - Setup Azure DevOps for Continuous Delivery to Azure App Service - Part 1 Step 03 - Setup Azure DevOps for Continuous Delivery to Azure App Service - Part 2 Conclusion Step 01 - Delete All Resource Groups and Thank You Start Learning Now. Hit the Enroll Button!
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    Advanced Serverless Architectures with Microsoft Azure redefines your experience of designing serverless systems. It shows you how to tackle challenges of varying levels, not just the straightforward ones. You'll be learning how to deliver features quickly by building systems, which retain the scalability and benefits of serverless. You'll begin your journey by learning how to build a simple, completely serverless application. Then, you'll build a highly scalable solution using a queue, load messages onto the queue, and read them asynchronously. To boost your knowledge further, the course also features durable functions and ways to use them to solve errors in a complex system. You'll then learn about security by building a security solution from serverless components. Next, you’ll gain an understanding of observability and ways to leverage application insights to bring you performance benefits. As you approach the concluding chapters, you’ll explore chaos engineering and the benefits of resilience, by actively switching off a few of the functions within a complex system, submitting a request, and observing the resulting behavior. By the end of this course, you will have developed the skills you need to build and maintain increasingly complex systems that match evolving platform requirements. About the Author Daniel Bass is an author of Beginning Serverless Architectures with Microsoft Azure and a developer with a major financial services firm. His has own educational background includes first-class honors in Physics MSc from University College, London. He is a key member of the team that creates greenfield projects purely on Azure, utilizing a combination of serverless functions, web apps, and data lake analytics. He has designed solutions from scratch for ingesting complex information from legacy data sources using serverless functions, processing it using data lake analytics, and reforming it using serverless functions. His team actively develops serverless solutions and create their own releases, and he is completely familiar with both the release tooling and development tooling for Microsoft Azure. Daniel also has several years of experience as a tutor of GCSE and A-Level students, producing quality education support for students across a broad spectrum of age and ability. He enjoys teaching and sharing knowledge with others. Sahil Malik is a trainer, Microsoft and iOS consultant, and the founder of Winsmarts. Sahil Malik, the founder, and principal of Winsmarts has been a Microsoft MVP for the past 10+ years, and an author and reviewer of many books and numerous articles in leading technology journals.
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      This course is a complete preparation for the new Azure AZ-103/104 exam. ( Including hands on Labs) UPDATED for AZ-104 (01.06.2020) with the following updates: - Added an entire new section "Serverless Computing" (video, Review Questions and Labs) - In AZ-104 Microsoft grouped the "Data Protection" section and "Data Services" section into one single section - "Data Protection" NO CHANGE is needed here as the course already covers those topics - In AZ-104 Microsoft grouped the "Azure Active Directory" section and "Securing Identities" into one single section - "Identity" NO CHANGE is needed here as the course already covers those topics - Added the NEW AZ-104 Labs for each section. The opportunity in cloud computing is clear. Most companies are implementing or investigating how to implement cloud technologies within their operations. Don't be left behind . Be ahead of the curve by getting Azure certified, and be ready for the opportunity to advance your career. All video lectures will cover all AZ-103/104 exam topics and include hands on demonstrations on each topic. The course also covers the latest changes/updates to the AZ-103/104 exam as per Microsoft. The course has been structured to follow the exact official Microsoft training plan. So if you want to pass your exam on your first attempt hit the enroll button now and you will get: Video lectures on each topic of the exam with demos that fully prepare you for your exam as well as ensuring you can administer Azure like a Pro Review questions at the end of each section (quizz) to test your knowledge on the topics learned in the section LABS at the end of each section . The labs follow the official Microsoft training labs and they are designed so you can practice yourself at your own pace when you aren't watching the videos. You will have step-by-step instructions available to complete each lab and ARM templates to prepare your lab environment and deploy the necesarry resources for the lab with just a few clicks of the mouse (so you don't need to do it manually) Links to official Microsoft resources/blogs/videos for further documentation available for each lesson on each topic This course curriculum follows the Microsoft's AZ-103/104 exam study areas: AZ-103/104 Study Areas                                               Weights Manage Azure identities and governance               (15-20%) Implement and manage storage                             (10-15%) Deploy and manage Azure compute resources      (25-30%) Configure and manage virtual networking             (30-35%) Monitor and back up Azure resources                    (10-15%) Hit the Enroll Button now and pass your AZ-103/104 certification exam on your first attempt. Microsoft, Windows, Microsoft 365 and Microsoft Azure are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. This course is not certified, accredited, affiliated with, nor endorsed by Microsoft Corporation.
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        Welcome to this course. Get hands-on instruction and practice implementing Microsoft Azure.You will be presented with Basic cloud computing concepts as well as specific Microsoft Azure features used in day to day administration of cloud resources. You will learn key Microsoft Azure concepts and basic implementation of Azure subscriptions, websites, virtual machines and databases.
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          Expected Outcomes Hadoop Basics You will learn a fundamental understanding of the Hadoop Ecosystem and 3 main building blocks. This module will prepare you to start learning Big Data in Azure Cloud using HDInsight. Microsoft Azure HDInsight You will learn what are the challenges with Hadoop and how HDInsight solves these challenges. You will also learn Cluster types, HDInsight Architecture, and other important aspects of Azure HDInsight. You will also go through demo where we’ll fetch data from Data Lake, process it through Hive, and later will store data in SQL Server. We will understand how HDInsight makes Hadoop easy, and we will go through simple demo where we’ll fetch data from Data Lake, process it through Hive, and later will store data in SQL Server. Intended Audience Beginners in Microsoft Azure Platform Microsoft Azure Data Engineers Microsoft Azure Data Scientist Database and BI developers Database Administrators Data Analyst or similar profiles On-Premises Database related profiles who want to learn how to implement Hadoop components in Azure Cloud. Anyone who is looking forward to starting his career as an Azure Data Engineer. Level Beginners (100) " if you are already experienced and working on these technologies, this may not be the best course for you." Prerequisites Basic T-SQL and Database concepts Language English If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course. What's inside Video lectures, PPTs, Demo Resources, Quiz, Assignment, other important links Full lifetime access with all future updates Certificate of course completion 30-Day Money-Back Guarantee Some students Feedback One of the most amazing courses i have ever taken on Udemy. Please don't hesitate to take this course. The instructor is really professional and has a great experience about the subject of the course. - Khadija Badary Very nicely explained most of the concepts. a must have course for beginners - Manoranjan Swain I appreciate this course explaining everything in great detail for a beginner. This will assist me in overcoming challenges at my work - Benjamin Curtis Good course for Beginners. Labs are really helpful to grasp the concept. Thank you - Sapna
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            These days it's extremely hard for the non-professional traders to be profitable. Large financial organizations invest millions in data centers and computer algorithms that trades on the market and reacts to changes within milliseconds. However to be profitable for an individual trader no need to be the best trader on the market. It' is good enough to be better than average. Being an IT pro I've noticed that most of the non-professional traders are not aware of the possibilities that competing software giants like Amazon, Google, Microsoft give away to extremely low prices or even for FREE. Cloud computing services is one of them. Sure thing Microsoft Azure wasn't developed for non-professional traders in mind. Azure is complex, it consists of hundreds of services but doesn't be scared we need just a few of them and we are going to use just a small set of those features that we benefit. In this course, I will provide you with simple, step-by-step instructions and you really can apply them just after the lecture. Various tips & tricks will save you time. Don't miss the great opportunity that free tier from Microsoft Azure gives you away today. Every video-lesson has Q&A section and I will be more than happy to help you out if you have difficulties in understanding the lesson or applying it in your account. Looking forward to seeing you as the student!
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              Azure Cognitive Services helps you build smart, secure, and more efficient models for your business needs. Data dependency has gradually increased over the past few years; every business is looking to utilize its available data to create more optimized solutions. Azure Cognitive Services will help you detect, moderate, and classify visual data as per your needs. In this course, you will learn how to configure Cognitive Services and use its vision capabilities to describe, tag, and categorize images; identify clip art as opposed to line art; moderate content; read text and handwriting; and recognize facial characteristics such as age, gender, emotions, hair color and type, and more. You will also learn how to build a facial recognition program that can recognize people in images by comparing them to a library of known individuals. By the end of this course, you will be confident enough to use face, text, image recognition, and image classification to help you build your own business with Azure Cognitive Services. About the Author: Peter Rombouts is a Multi Cloud Solution Architect with a strong focus on the Microsoft Azure platform, supporting enterprise organizations in the Netherlands as consultant, lead developer, and architect. He focuses on architecting and designing maintainable, future-proof, and resilient platforms and systems, leveraging the latest and greatest services on the Azure platform. He has led projects using a variety of cognitive services, from LUIS in Chabot's to the Vision API for the custom tagging and recognition of images in a manufacturing project.
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                This course shows you step-by-step how to use Azure Building Blocks to deploy your Node .js microservice-based apps to the cloud. You will start with what cloud-native applications are and their benefits. You will also learn about the crucial reasons for developing a Node .js app and deploying it on Azure. Then you will understand different Azure services, highlight Azure building blocks used by Node .js apps, and deploy your Node .js applications on the Azure Cloud platform. Finally, you will monitor and troubleshoot your Node .js applications with Azure App Insights. By the end of the course, you will have mastered building an application in Node .js that's based on microservices, deploying it on the Azure Cloud platform, and monitoring and troubleshooting it with Azure App Insights. About the Author Peter De Tender is the CEO and Lead Technical Trainer at PDTIT and 007FFF Learning, a Microsoft Cloud Platform Architect, an extremely passionate trainer and speaker, Azure MVP (2013-2018), Microsoft Certified Trainer (MCT), and a technical writer. After starting his career in 1996, Peter has never looked back from Microsoft infrastructure technologies. At present, he’s an expert on Azure and Azure Stack, coaching global Microsoft Partners, larger Microsoft customers, and Microsoft FTE teams all over the World so they can achieve more with Azure. While this got him a position as FTE for Microsoft Corp in the global Microsoft AzureCAT GSI (Azure Engineering) team early in 2016, his passion for speaking and presenting made him decide to return to his own company after about a year, coming back with an even stronger focus on providing readiness workshops and architect consulting on the Azure platform. When Peter is not speaking or presenting, he authors Azure-related white papers and courses for Microsoft as well as several other training companies in the IT industry or updates his own custom Azure advanced training material. He recently published Learning Operations Management Suite with Apress, co-authored the Microsoft Official Curriculum for the 70-535 Architecting Azure Solutions, and is currently writing Azure Governance and Security for Apress, as well as authoring a series of advanced Azure training videos for Packt Publishing.
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                  In the past decade, cloud computing has been gaining popularity at a tremendous rate. Some cloud providers are experiencing a growth rate of 50% year over year – which is just astounding. And the reason for this growth is obvious – cloud computing enables ubiquitous, convenient, on-demand access to a shared pool of configurable computing resources which can be rapidly provisioned and released with minimal effort. Microsoft Azure is a cloud computing platform that offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. The Azure Resource Manager , provided by Microsoft Azure , is a versatile service that simplifies how you manage your cloud resources. The Azure Resource Manager can help you define, build and maintain your application in a consistent manner. Within the context of Azure Stack, the Azure Resource Manager is the management layer (API) where you connect to for deploying resources. With Azure Resource Manager ( ARM ) you can deploy, delete, or update all resources for your solution in a single and coordinated operation by using templates. The templates are in the form of JSON format, and these templates can be used for deployment in different environments such as staging, testing, and production. The Resource Manager helps in providing auditing, security, and tagging features to help you manage your resources post-deployment. Although we have the Azure portal for managing the resources but in cases where you need to maintain and deploy multiple servers, in complex configurations - it might get a cumbersome to handle these deployment and configuration activities via the point and click portal. Moreover remembering every resource category and their respective cost evaluation can become a mammoth task. As companies look forward to automating deployment, scaling, and operations of cloud applications in the Azure cloud (across clusters of hosts), there is a need for providing automated deployment solutions for the cloud infrastructure. With Azure ARM Templates , you can define your infrastructure environment in simple JSON file template. These file templates can be versioned, validated and checked into your source control systems. This is what we call Infrastructure-as-code ( IaC ). Do you know what it takes to design and deploy sophisticated cloud applications and manage your complex infrastructure via the use of ARM templates ? How does one go about automating the configuration of the cloud resources in the Azure cloud environment? How to make the deployment process consistent and repeatable? How to scale the infrastructure with a simple push of a button or a simple command? These are some of the fundamental problems Cloud and DevOps engineers struggle with on a daily basis. This course teaches you how to design, deploy, configure and manage your Azure cloud resources with Azure ARM Templates . The course will start with an introduction to the Azure ARM templates and their core features. Then we will dive deeper into designing and deploying our cloud resources with the use of these templates. If you’re serious about building scalable, flexible and robust Azure ARM Templates for deploying your cloud infrastructure, then this course is for you. These DevOps and Cloud Computing skills are in high demand, but there’s no easy way to acquire this knowledge. Rather than rely on hit and trial method, this course will provide you with all the information you need to get started with your Azure cloud projects. Startups and technology companies pay big bucks for experience and skills in these technologies. They demand DevOps and cloud engineers to automate the deployment of their cloud resources  -  and in turn, you can demand top dollar for your abilities. Do you want the skills and be highly sought after? Do you want your career to touch cloud 9? Did you answer, “Absolutely” to that question? If so, then our new training program "Azure Masterclass: Manage your Azure Cloud with ARM Templates" is for you. We have been in the software industry for more than two decades. We’ve been part of many prestigious projects and startups. Over this span, we have gained great insight into what makes for flexible, scalable and robust software and IT solutions. We are passionate about sharing all our collective knowledge with YOU !! In this course, “ Azure Masterclass: Manage your Azure Cloud with ARM Templates” , you will get an in-depth look at how to utilize Azure ARM Templates for designing and deploying your Azure cloud resources in a consistent and repeatable manner. You may be a cloud veteran or an enthusiast - if you invest your time and bring an eagerness to learn, we guarantee you real, actionable education at a fraction of the cost you can demand as a cloud engineer or consultant. We are confident your investment will come back to you many-fold in no time. So, if you're ready to make a change and learn how to build some cool ARM Templates in the cloud, click the "Add to Cart" button below. Look, if you're serious about becoming an expert cloud engineer and generating a significant income for you and your family, it’s time to take action. Imagine getting that promotion which you’ve been promised for the last two presidential terms. Imagine getting chased by recruiters looking for skilled and experienced engineers by companies that are desperately seeking help. We call those good problems to have
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                    Course Introduction Azure Data Lake Storage Gen2 (ADLS) is a cloud-based repository for both structured and unstructured data. For example, you could use it to store everything from documents to images to social media streams. The most effective way to do big data processing on Azure is to store your data in ADLS and then process it using Spark (which is essentially a faster version of Hadoop) on Azure Databricks. In this course, you will follow hands-on examples to import data into ADLS and then securely access it and analyze it using Azure Databricks and Azure HDInsight. You will also learn how to monitor and optimize your Data Lake Storage. Expected Outcomes After this course: You will have a very good understanding of Data lake features and properties You will learn about different tools and scenarios to ingest data into Data Lake. You will learn about Data Lifecycle and Architecture around Data Lake You will be doing end to end demos to ingest, process, and export data using Databricks and HDInsight. You will learn about 5 layers of Data Security and how to configure them using the Azure portal. You will also learn about different tools Azure provides to monitor Data Lake Storage service. And finally, you will learn optimization techniques for Data Lake Storage. Intended Audience Anyone interested in learning Azure Data Lake Storage Service Level Beginners and intermediate level I have a few crash courses (Free) for absolute beginners, you can find links on my website. Prerequisites There is no prerequisite for this course Basic understanding of Data warehouse and Database, in general, will help you understand quickly. Language English If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course. What's inside Video lectures, PPTs, Demo Resources, Quiz, Assignment, other important links Full lifetime access with all future updates Certificate of course completion 30-Day Money-Back Guarantee Some students Feedback One of the most amazing courses i have ever taken on Udemy. Please don't hesitate to take this course. The instructor is really professional and has a great experience about the subject of the course. - Khadija Badary Very nicely explained most of the concepts. a must have course for beginners - Manoranjan Swain I appreciate this course explaining everything in great detail for a beginner. This will assist me in overcoming challenges at my work - Benjamin Curtis Good course for Beginners. Labs are really helpful to grasp the concept. Thank you - Sapna