In this session, you'll learn about the multitude of ways you can deploy your Java application to Azure. From containers to WebApps, you'll learn the benefits of each solution and the tradeoffs of each hosting option. You'll walk away with the information you need to make the right cloud solution deployment choice for your Java application.
Handling IoT scale data for real-time analytics and low latency decision making requires specialized capabilities, on the network ‘Edge’ as well as the cloud. Azure Stream Analytics is uniquely positioned to help customers within the Manufacturing, Energy and Utilities industries. Attend this session and learn how features such as Stream Analytics on IoT Edge, Inline Anomaly detection and real-time Geospatial analytics can help you easily build and deploy end-2-end solutions and gain significant competitive advantages. We will also share the product roadmap and unveil some key new features.
Serverless lets you focus on coding and testing instead of provisioning infrastructure, configuring web servers, debugging your configuration, managing security settings, and all the drudgery normally associated with getting an app up and running. In this session, you’ll discover how to migrate an API of an existing app to Azure Functions. You’ll learn how to use Visual Studio Code and the Azure Functions extension to speed up your work. After this session, you’ll join the ranks of serverless developers.
Learn how to simplify your Machine Learning workflow by using the experimentation, model management, and deployment services from AzureML. We'll demonstrate a real-world machine learning scenario using TensorFlow and Keras. You'll walk away with a clear picture of each of the AzureML services and the supporting Cloud AI infrastructure.
Data Scientists and Data Wranglers often have existing code that they would like to use at scale over large data sets. In this presentation, we show how to meet your customers where they are, allowing them to take their existing Python, R, Java, code and libraries and existing formats—for example Parquet—and apply them at scale to schematize unstructured data and process large amounts of data in Azure Data Lake with U-SQL. We will show how large customers meet the challenges of processing multiple cubes with data subsets to secure data for specific audiences using U-SQL partitioned output, making it easy to dynamically partition data for processing from Azure Data Lake.
Learn from Core Services Engineering & Operations (formerly Microsoft IT) software engineering leads and our Digital Security & Risk Engineering (DSRE) engineers how our Line of Business application development teams work hand in hand with our security experts to implement tools and patterns to secure our cloud footprint while accelerating the speed at which our software engineers build applications in the cloud. Based on one of our own internal security + development training sessions, you’ll hear from the experts how they maximize developer time while still maintaining compliance and proven security practices. You’ll also get a view into how this works in reality with one of our software engineering team’s subscriptions – how they set up resource groups, least privilege access, CI/CD permissions and more.
Microservices are highly scalable, resilient, and composable units of deployment for modern applications. But building them is hard. There are a lot of development and deployment considerations to take into account. In this session we'll show you how we're making .NET Core microservices easier to build with new application patterns in .NET Core 2.1 as well as how to deploy and manage them with Kubernetes and Helm.
Join Rohan Kumar, Corporate Vice President of Data Platform, to learn how Microsoft provides the most comprehensive data platform for your modern, intelligent applications. Come see our latest innovations that enable you to easily modernize and provide new, differentiated experiences in your applications. Hear from customers like dv01, Finastra, Jet.com and Rubikloud as they share their stories of how they’re each transforming their industries by leveraging Microsoft’s data platform.
Managed Instances is the latest fully managed deployment model for Azure SQL Database that enables friction-free migration for SQL Server applications running on-premises. Come and learn why Managed Instance is the best PaaS destination for all SQL Server workloads and how to start your cloud modernization at scale now, using Azure SQL Database Managed Instances.
In this session you will learn how to build planet-scale serverless apps using Azure Cosmos DB and Azure Functions. Users expect modem apps to offer event-driven, near real-time experiences. Now you can subscribe to changes in Azure Cosmos DB collections and trigger logic in real time while being globally-distributed, and without deploying or managing any servers.
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