Friction Free SQL Server - SQL Managed Instance

Come learn how to run SQL Server in a Managed Instance, see how easy it is to move in and hear about the other great things available! The best thing since sliced bread? Maybe not, but probaly just as good!

Predicting customer churn with Azure ML Studio

In this session a demo will be given on how to build a predictive customer churn model, how to deploy it and how to use the exposed web service to obtain scores (propensity to churn) for current customer base. First, features will be created from raw transactional data that are expected to be indicative of customer's propensity to churn. Then, based on these features a predictive model will be created and evaluated using AML Studio. The model will be deployed and a web service for scoring new data will be created. Finally, an example of how this web service could be used to score new data (existing customers) will be given.

Using Azure Container Service for Kubernetes

Our goal with Azure Container Service is to provide a container hosting environment by using open-source tools and technologies that are popular among our customers today. To this end, we expose the standard Kubernetes API endpoints. By using these standard endpoints, you can leverage any software that is capable of talking to a Kubernetes cluster. For example, you might choose kubectl helm, or draft.

Operations in Azure

This will be 3 different 10 minute sessions to inspire you to do some new things in Azure to run your operations in a modern way. We’ll look at Azure File Sync as a method to improve those pesky branch office file servers and centralise their backups. Then we’ll look at Azure Recovery Services to see what is valuable in the service to your infrastructure regarding backup and disaster recovery. And finally a self-service portal running on a serverless architecture for application owners to automatically shutdown and by a schedule or manually start up their developer VMs in a complex, enterprise-ready way. Come and get inspired!

Blockchain

Come learn about the Azure Blockchain Workbench and how to create blockchain applications based on Microsoft Azure. Key objectives in this demo-heavy session are:

1. Deploy Azure Blockchain Workbench and review architecture
2. Create and deploy a new blockchain application
3. Assign/federate consortium application users and test application

Cloud Architecture

The cloud is changing the way applications are designed. Instead of monoliths, applications are decomposed into smaller, decentralized services. These services communicate through APIs or by using asynchronous messaging or eventing. Applications scale horizontally, adding new instances as demand requires.

These trends bring new challenges. Application state is distributed. Operations are done in parallel and asynchronously. The system as a whole must be resilient when failures occur. Deployments must be automated and predictable. Monitoring and telemetry are critical for gaining insight into the system.

This session discusses Architecture styles, Technology choices, Design principles and patterns in the cloud where rules are changed.

DevOps & Application Monitoring

In this session we will talk briefly about the overall DevOps process and the tools you can use with Azure. Then we will demonstrate how you can monitor application infrastructure together with end user web applications and mobile apps using services like Azure Dashboards, Azure Monitor, Application Insights, Analytics and App Center.

How to Organize an Azure Data Lake

In this session will discuss and see how an Azure Data Lake can be organized to achieve the following:

• Is easy to use
• Is as cost-effective as sensible/possible
• Do not compromise security
• Fits well into a DevOps scenario
• Supports both of Gartner’s mode 1 and mode 2 implementation scenario
• Supports an effective auditing and logging process

Keep secrets out of code with Managed Service Identity

Azure Active Directory MSI gives the runtime of your code an automatically managed identity for authenticating to Azure services, which allows you to keep credentials out of your code and separate concerns. In this session you will get an introduction to the concept and a demo of the functionality.