From data ingestion, processing, model training, model updates to prediction - machine learning is hard! Join us to learn how serverless makes it all easier so you can stop worrying about managing the underlying infrastructure and focus on getting the most value out of your data, whether you're running in the cloud or on an IoT device.
We review several successful deployments where the infrastructure has been moved from on-premises servers to Microsoft Azure. These deployments include version upgrades, as well as migrations to Platform as a Service offerings.
Get started using the Gremlin language in less than 20 minutes with some practical examples. See them in action with our demos including scenarios like solving the Six Degrees of Kevin Bacon problem, making a graph-based approach to encounter a most optimal path in airport navigation, and more.
In this session, learn a practical approach to embrace DevOps where you can automate all your software deployments and make them secure and compliant by default. Get practical tips on how to approach automation on Azure in such a way that no human interaction is required and the full application deployment including infrastructure, configuration, and security are defined in code.
Are you a developer wanting to build your applications anywhere? Learn about all the available services in Azure Stack, the Azure SDKs, and how to use PowerShell and CLI for automation. Also learn how to download and install your own Azure Stack for learning, development and evaluation as well how to leverage your Azure subscription to enable prototyping in Azure.
Serverless applications require a complete mindshift when it comes to application development and infrastructure automation. That's okay, but while serverless clearly have potential for increasing the ROI of any business and aid in bringing a product to market faster, they are not concern-free. Join this session during which Alex Mang walks you through the struggles you’re likely to face when developing microservices-based applications running on serverless infrastructures. Learn about frequent issues, how monitoring should be done, how scalability should and can be controlled, how data separation and models should be split and how contracts should be put in place so that an application feature can receive upgrades with no downtime.
Running mission critical workloads with multi-layer network security in Azure has now become easy. Come and learn how end-to-end network security can be designed for applications and workloads running in a Virtual Network utilizing platform infrastructure such as Network Security Groups (NSGs), User defined routes (UDRs) and Service Endpoints.
Join Technical Fellow Jeffrey Snover for a discussion about the future of applications purpose built for the edge. At the edge, new solutions are needed to put intelligence into action by adapting to changes and continually incorporating new context to help people where they need it, when they need it. Systems designed and deployed across many different devices in the intelligent edge era will require a consistent infrastructure backplane so that they can act as one distributed, intelligent and adaptive system. Hear about the direction that Microsoft is taking to help customers create adaptive systems that participate in a consistent platform across the edge and cloud.
Take a tour through the great new tooling we have for developers to help them build and deploy Logic Apps!
Big data is everywhere, and you as a developer can take advantage of the insights that can be derived of it. To make things easier, Azure brings services like Azure Databricks, that allow developers to leverage the best of OSS capabilities like Apache Spark, with the confidence of an integrated Azure environment. In this session, take an introductory journey into how Azure Databricks can bring together structured and unstructured data, help derive deep insights with Machine Learning, and even create a real-time feedback loop. Your applications deserve to be more intelligent, and when it comes to data-driven intelligence, Azure Databricks is the way to go.