Azure is Microsoft’s public cloud computing platform. It provides a range of cloud services, including those for compute, analytics, storage, and networking. You can pick and choose from these services to develop and scale new applications, or run existing applications, in the public cloud. Spring Boot makes it easy to create both powerful and production-grade applications. These applications can be efficiently deployed on cloud platforms such as Azure and their deployment assessed with metrics and monitoring. This course is a one-stop guide for those who want to use Microsoft Azure for developing and deploying secure, resilient, robust, and scalable Spring Boot applications. You will learn how to easily build, monitor, and deploy cloud-native applications and microservices that are always available and fault-tolerant. Along the way, you will get introduced to several DevOps practices that will help you manage the full lifecycle of your application, from laptop to cloud and into the hands of your customers, while using state of the art tooling that comes out of the box with Azure. Contents and Overview This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Cloud Native Development on Azure with Java , will help you architect a cloud-native application which will be resilient, can auto-scale automatically, and requires less maintenance; it focuses entirely on practicality, building a cloud-native application in Spring Boot and deploying it on Azure. You will get hands-on experience in a range of computing, storage, data, and network services, which offers you a complete toolbox to build and deploy cloud-native applications. You will learn about the driving factors for cloud adoption and see how cloud deployment with Azure is different from regular deployment on a standard data center. The second course, Microservices Development on Azure with Java , will jumpstart your journey of building, deploying and operating containerized Java microservices into the cloud, using Docker and the Azure Kubernetes Service, while leveraging several building blocks of an open and flexible cloud platform that provides excellent support for Java. By the end of this course, you will be equipped with the knowledge to build scalable and cost-efficient Java Spring applications, microservices, and deploy them on the Azure and other enterprise-ready container platforms. Meet Your Expert(s): We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth: TetraNoodle Technologies provides your business with an augmented executive service that prioritizes growth. They provide technology and CTO services that are cheaper, faster, and better informed than traditional CTOs. Their team has worked within the technology industry for over 45 years. They use the connections, experience, and knowledge gained during this time to provide flexible solutions to your technology needs. They excel at scaling companies quickly by facilitating rapid technology implementation to propel you to the top of your industry. Tasos Piotopoulos (Anastasios) is a professional software engineer and aspiring technical architect with over 12 years of industry experience and an Honors Master's degree in Software Engineering and Ubiquitous Computing from University College Dublin.Over the years, Tasos has been involved in the construction of everything from simple tooling to enterprise cloud-native solutions. He started using Azure as an early adopter on 2011, and his first official project on Azure became a case study by Microsoft Greece (plus a bestselling service for his employer). He organizes meetups and workshops, speaks at events and academic lectures, and is passionate about solving complex problems through delivering high-quality software.

This Azure Automation course though is a very small course, it completely covers both conceptual and practical knowledge about Azure Automation Runbooks and DSC. A walkthrough is provided on how to create PowerShell Runbooks and Graphical Runbooks. Also and example is provided on how input parameters can be used for customization.

Microsoft Azure is a very popular cloud computing service used by many organizations around the world. Its latest analytics offering: Stream Analytics - allows you to process and acquire actionable insights from different kinds of data in real-time. If you are an analytics professional looking to get familiar with Microsoft’s Azure stream analytics, then this Course is perfect for you! This comprehensive 2-in-1 course is concise and appropriate for evaluating deep aspects of building real-world data-centric and data processing with the Azure Data Platform! You’ll begin with implementing Azure's simple, declarative model to build real-time data transformations for processing IoT streams, real-time data analysis, and more! Understand the development aspects of Azure Stream analytics to build real-time event processing solutions. Finally, you’ll build end-to-end analytics solutions with Azure Stream Analysis! By the end of the course, you’ll understand the development aspects of Azure Stream analytics to build end-to-end, real-time event processing solutions! Contents and Overview This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Real-time Data Processing with Azure Stream Analytics , covers real-time data processing with Azure Stream Analytics. This video is your guide to understanding the basics of how Azure Stream Analytics works, and then building your own analytics solution using its capabilities. You will start by learning what stream analytics is, and why it is a popular choice for acquiring real-time insights from data. Then you will be introduced to Azure Stream Analytics, and learn how you can use the tools and functions in Azure to develop your own Streaming Analytics. During the course of the video, you will build streaming solutions for the IoT, fraud detection, real-time event processing, and more. The video also shows you how you can manage, monitor, and scale your solution for optimal performance. By the end of this tutorial, you will have mastered using Azure Stream Analytics to develop an efficient analytics solution that can work with any type of data. The second course, Managing and Monitoring Streaming Solutions in Azure , covers the development aspects of Azure Stream analytics to build real-time event processing solutions. This course will give you a good understanding of the development aspects of Azure Stream analytics to build real-time event processing solutions. The course mainly focuses on monitoring scaling aspects to increase throughput in your streaming jobs and supplies a varied troubleshooting guide for big data developers/architects. The course provides end-to-end demonstrations for solutions to real-world business problems related to Internet of Things and fraud detection scenarios with the help of Microsoft Cortana Intelligence Gallery. By the end of the course, you’ll understand the development aspects of Azure Stream analytics to build end-to-end, real-time event processing solutions! About the Authors ● Anindita Basak is working as Big Data & Cloud Architect for one of Computer Software giant & working with Microsoft Azure for last 8+ years. She has worked with various teams of Microsoft as FTE in the role of Azure Development Support Engineer, Pro-Direct Delivery Manager, and Partner Technical Consultant. She has been technical reviewer for five books from Packt Publisher on Azure HDInsight, SQL Server Business Intelligence, and Hadoop Development & Smart Learning with Internet of Things & Decision Science. Recently, she authored two video courses on Azure Stream Analytics from Packt Publishing.

Hello and welcome to this course. This course will guide you through the process of creating an Azure DevOps pipeline where you can automate your build and release process. This course is for all developers from all levels and even DevOps Engineers. This course can be used for all type of projects and programming languages. The concepts are the same and shared among them. To start, we will create a build. The build is where we tell the CI what we need to do to have a successful release of our code. Using the build file we will examine its different parts and see how we can customize it to have a releasable code where we can ship it to our different environments and see the results directly. The nice thing about Pipelines it takes a lot of headaches concerning releasing code and products to different environments and from a single place we can control it all. For example, let's say that we have three environments and each one has it's unique connection string. With Pipelines, we can define the different configs for the different environments and each time it runs it's automatically changing them so no more worries about have we set the right config for the right place. Also, we can have our releases saved for later on in ace we want to rollback to a certain release or a build. And the nice thing that I l personally like about Pipelines is that we only need to do small actions to have major results and overall control over our builds. This is much easier than doing the old fashion way of having releases done manually or over a dev machine where the environment might change or have issues. Also, if you are a fan of cloud there is a lot of integration available for Azure in the Azure pipelines where you simply need to drag and drop an item to connect to Azure or to do a certain task Also, the course will help you take great advantage of Azure Pipelines in a really quick way! The nice thing about this course that is quite easy to digest and will give you a lot of benefits. So join the course, we are having a party just right now ;)

VSTS and TFS can help you plan and code your application, now it's time to start looking at actually deploying your application in test and production environments. This video course shows you how to set up continuous integration, deployment, testing, monitoring and delivery and all of the essential elements of DevOps and OpsDev. We'll start by looking at the vNext build system. You’ll learn how to create build definitions, configuration as code (YML) for your needs, and use hosted or private agents to make sure you have all the prerequisites available to build your containerized platforms. After that, you'll extend your pipeline by autonomous deployment capabilities. You'll see how to create the deployment pipeline across different environments, all while making sure that the necessary approvals and checks are in place. Adding continuous testing is the next step. You’ll learn how to add automation to both your build and release step. You'll also look at using Azure to run automated (UI/API) and performance engineering load tests. Another important step in implementing your DevOps process is continuous insight through monitoring. Application Insights is an Artificial Intelligent enabled Microsoft’s solution when it comes to monitoring your applications. You will also see how Intelligent Automation (IA) through Robotic Process Automation (RPA) can help you detect problems in your application and how it can be utilized them to achieve continuous delivery. About the Author Jonathon Wright is a strategic thought leader and distinguished technology evangelist. He specializes in emerging technologies, intelligent automation and cognitive adoption (deep learning), and has more than 20 years' of international commercial experience within global organizations. He is currently the CTO for Digital-Assured based in Oxford in the UK, advocacy board director for various non for profit such as Vivit-Worldwide and is a representative of the European Commission on the topic of Artificial Intelligence (AI). Jonathon combines his practical experience and leadership with real-world insights behind the core principles and practices underpinning Enterprise AI, Smart Cities (IoT / C2X & I2X) and Robotic Process Automation (RPA). Thus, he is frequently in demand as a keynote speaker at international conferences such as TED, Gartner, Oracle, AISummit, Unicom, EuroSTAR, STAREast, and STARWest. Jonathon is the author of several award-winning books.

This course is designed to instruct students on Azure as it pertains to Virtual Networks, Virtual Machines, and Storage capabilities. Students will understand ARM deployment, including reviewing ARM vs. Classic deployment, the advantages of ARM, and working with ARM deployment methods. Students will learn how to use and deploy ARM templates, including how to deploy VM via templates from Github and how to create a template from resource group. They will review RBAC and ARM Networks, learn how to work with Azure ARM load balancer, and also how to use ARM scale sets. In addition, students will create an automation account, automation assets, and runbooks.

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.

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!

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.

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.