New megatrends like Cloud, ML/AI, Containers & Co. are undoubtedly becoming increasingly important. We also have many services that simplifies implementation of modern applications. But choosing the right architecture under hundreds of services is not an easy task. In this session, we will demonstrate how to approach the right architecture on the example of an application that uses .NET, ML.NET, ASP.NET, Docker, ACI, ACR and Azure Batch Service. With a lot of demos, we will explain step by step how to build the right solution, and discuss the limitations of each used technology. However, a real solution has numerous requirements that go beyond the scope of an experimental application. ML.NET is a viable approach that also has its limits. You will learn how containers surprisingly behave under "heavy workloads" such as the ML training process. Such a real-life examples show that “lovely containers” have limits that you must overcome with another approach like Azure Batch Service or similar. This is an advanced talk with lots of demos and insights into the world of Microsoft Azure Cloud Computing. Even if your focus is not necessarily ML or Azure Batch Service, this talk will teach you how to design and run scalable and elastic heavy-load solutions in Azure.
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