As we all know, logging is a very important to see things are still running smoothly or once there is an issue but sometimes finding what we need takes a bit. Log streaming provides a fast flexible way to log to get at your data quickly as all the logs can be stored in one place.

PowerApps and Microsoft Flow are enterprise services (currently in preview) that allows power users and developers to build scalable applications that connect with numerous consumer and enterprise sources using PowerPoint and Excel-like tools. In this session we will overview the integration points for PowerApps and Microsoft Flow with various sources such as OneDrive, Twitter, Azure, and more. We will also talk about the developer story for integrating with custom APIs and on-prem data sources such as SQL Server and SharePoint. Lastly we will demo a number of scenarios to show how easily you can create and consume apps across Windows, iOS, Android, and web.

Best practices for implementing scalable websites in Azure, including open source applications such as WordPress and Drupal.

Data warehousing has been slow to move to the cloud due to concerns over costs of the mass amounts of storage and processing power needed to support analytics, in addition to several other factors. In this talk, we will review some typical data warehousing challenges for on-premises and how Microsoft’s Azure SQL Data Warehouse offering is breaking down those barriers.

Microsoft Azure is a highly-scalable cloud computing platform. But what if my business is built on Linux and Oracle? What if I build iPhone or Android apps for a living? What if Im a PHP developer or Java developer? Can Azure help me and my products and services? In this presentation, I will show you Microsoft Azure services that can improve your application or infrastructure, even if you are working exclusively in Open Source or non-Microsoft technologies.

We all know that consumer behavior has changed dramatically. How consumers engage with companies, do research, and even purchase leaves a deluge of data that companies have never had. Those companies that can parse that data drive business results like never before. Join this session to learn how Big Data technology can drive business outcomes from data ingestion to cloud and hear about one company’s journey to Customer 360 and their decision process when moving to the cloud.

Not too long ago the compute and storage options in Azure were fairly limited Cloud Services for compute and tables, blobs, or SQL Database for storage. It was easy! Those days are long gone. Today there are multiple options on where to host the compute and storage for your applications. There are pros and cons to every option. In this interactive session we will explore a few scenarios derived from real-world projects. We will evaluate the pros and cons of various compute and storage options. In the end, we will look at the choices the project owners made, and discuss if those were the right choices, or not.

Clearly the cloud is a disruptive technology. But is it really secure? Will we really save money? Will it be reliable enough? There are plenty of questions worth discussing. But the fact remains, companies are moving to the cloud at a quickly accelerating pace, with more and more going all cloud. They are taking advantage of the cost savings, agility, scalability, and many other benefits of cloud computing. But in spite of the benefits many companies have tough questions that compel them to take a slower path to the cloud. I’ve had many “tough questions” conversations with clients, so please bring your own tough questions and lets talk. Well start with a brief overview of the top reasons companies are moving to the cloud. Then well discuss the most common questions companies ask when considering a move to the cloud, including topics such as security, cost, compliance, reliability & SLAs, performance, lock-in, and more “ with plenty of real world examples. The goal is for you to be better prepared to answer these tough questions for your company or client.

Microsoft and Red Hat support leads will co-present a Level 200 session on “Integrated Support” which includes:
1. Single Sign on (SSO), Ticket Exchange, Co-Located Support Engineers, Integrated support operations and Governance model between Red Hat and Microsoft.
2. Deep-dive on lessons learned, customer feedback, trends, troubleshooting demo and best practices for using RHEL on Azure.

Microsoft has released the VNext PaaS for building microservices using Azure Service Fabric. Microsoft Service Fabric allows developers to build microservices that scalable and reliable services that is resilient and elastic. The session will introduce how to build various types of microservices including asp.net core, web api, reliable services and actors using Service Fabric platform including cloud versus local service fabric cluster.

The Enterprise Mobility Suite (EMS) is a product offering that receives a lot of attention and air time from Microsoft nowadays. Although many enterprise architects, technical decision makers, and IT Pros have heard about EMS, many dont know exactly what it is and what it does. In this session, we will be looking closely at EMS and the growing set of identity, security, data, and device management problems that it addresses. We will look at each of the workloads and capabilities within EMS, how they work, and some practical examples of solutions involving each. We will also clear-up the confusion that frequently arises in understanding where Office 365 ends and EMS begins. By the end of this session, you will understand what EMS is, the role that it plays in secure cloud solutions, and why it is a natural fit for consumers already leveraging Office 365 in their day-to-day operations.

Individual humans do not scale very well. Let’s face it, we can barely multitask. So with Cloud Computing how do we keep up with the growing demand for maintenance tasks for these \infinitely scalable\” assets? The answer is automation. Azure Automation is a highly available automation service which helps you \”Automate all the things\”. Anything from deployments to monitoring to maintenance tasks can be set up using this reliable workflow execution engine. This presentation covers the fundamentals of the Azure Automation service and provides some insights into how to leverage it with your own solutions.”

The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products.

Automation is a critical factor in successful cloud projects. Successful projects are able to skillfully craft deployment templates and scripts that provision nearly all needed resources. While Azure Resource Manager (ARM) provides a robust infrastructure as code approach to managing Azure resources, getting started can seem like a daunting task. In this demo heavy session, we will dive deep into creating resources and manipulating ARM templates. We will review proven techniques you can apply to your Azure projects. In the end, you will have a series of tips you can use to unlock new and powerful ways to manage your Azure resources.

Ever wonder how Microsoft builds highly distributed services like Azure DocumentDB, Azure SQL DB, or even Cortana? Each of these services has a specialized purpose, but they share the need to be highly scalable, reliable and have extremely low latency. Azure Service Fabric is the platform under all of them, and it is purpose-built to solve exactly these challenges. More importantly, it is now available for you to build your own highly-scalable, reliable, low-latency services on top of! Come see how Azure Service Fabric fits into the myriad of compute options offered by the Azure platform and if it is a good fit for your solutions. We’ll look at how you can build either stateful, or stateless, microservices using this platform and how it differs from Azure Cloud Services.

This fast-paced session will cover the basics of Azure Infrastructure-as-a-Service (IaaS), as well as the building blocks required for running your infrastructure in the cloud. We will discuss the two Azure API’s (RM & SM), how they’re similar, and how they differ. The demonstration will include a real-life scenario of automating the provisioning of a complete virtual solution in Azure. By the end of this session, you will have a solid understanding of the process of moving infrastructure into Azure IaaS!