Embracing Efficiency: Monitoring Generative AI Applications on Azure AKS

As cloud-native architectures gain momentum and applications built using microservices and containers proliferate, container orchestration is now the norm. But many organizations don’t want the hassle of managing all those containers themselves; instead, they turn to solutions like Azure Kubernetes Service (AKS). AKS has seen significant growth in recent years and is still the standard for managing container environments in the cloud. A key part of managing the proliferation of containers is observability, which can be especially complex in cloud-native environments.

Azure Kubernetes Service (AKS) enables you to easily deploy and manage containerized applications in Azure while leveraging Microsoft resources such as development tools, security features and more, including observability. In this Techstrong Learning Experience, Datadog and Azure will explore observability for generative AI applications on AKS.

Datadog’s Ryan MacLean will show you how to get the most out of Datadog’s intuitive platform and Azure’s unique capabilities.

You’ll learn how you can:

  • Deploy and observe a generative AI app on AKS clusters
  • Visualize AKS cluster and control plane activity
  • Monitor your cluster’s control plane components
  • And more!

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