3:00 下午 - 4:00 下午 (UTC)

In this hands-on lab, you will explore how to implement event-driven workloads on Azure Kubernetes Services (AKS) using Kubernetes Event-Driven Autoscaling (KEDA) and Karpenter. KEDA allows you to scale your Kubernetes deployments based on certain events, while Karpenter helps in optimizing the cost and performance of your Kubernetes clusters by dynamically provisioning the right compute resources.

3:00 下午 - 4:00 下午 (UTC)

In this hands-on lab, you will learn how to implement observability for apps deployed on your AKS clusters using Managed Prometheus and Managed Grafana. Prometheus is an open-source powerful monitoring and alerting toolkit, while Grafana is a popular open-source platform for visualizing metrics. Together, they provide a comprehensive solution for monitoring and visualizing the performance and health of your Kubernetes clusters.

3:00 下午 - 4:00 下午 (UTC)

In this hands-on lab, you will learn how to deploy and configure Istio service mesh on Azure Kubernetes Services (AKS) clusters. Istio is an open-source service mesh that provides a uniform way to secure, connect, and observe microservices.

3:00 下午 - 4:00 下午 (UTC)

In this hands-on lab, you will learn how to deploy Azure Kubernetes Services (AKS) using Terraform and Azure Verified Modules. Terraform is a popular infrastructure-as-a-code tool that allows you to define and provision infrastructure using a high-level configuration language. Azure Verified Modules are pre-built Terraform modules that simplify the deployment of Azure resources by providing best practices and validated configurations.

3:00 下午 - 4:00 下午 (UTC)

In this lab, you will learn how to deploy AI workloads on an Azure Kubernetes Services (AKS) Automatic cluster. We will begin by running a containerized AI workload locally and then deploy it to an AKS Automatic cluster.