In this second part episode, Fernando Mejia walks through everything you need to plan for in a Hybrid Cloud architecture for Azure Kubernetes Service.

This includes IP address concerns from on-premises to Azure, hub and spoke topology, as well as the different options you have in Azure Kubernetes Service. 

Watch Part 1

Learn more: https://azure.microsoft.com/en-us/overview/kubernetes-on-azure

Think serverless is just for functions? Think again!

Brendan Burns joins Donovan Brown to look at how serverless containers can provide a cloud-native container experience without the worry of a server or operating system.

They also look at how this integrates with the Azure Kubernetes Service (AKS).

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In Kubernetes, the API server is the central way to interact and manage the cluster.

To improve cluster security in Azure Kubernetes Server, Ruchika Gupta shows Scott Hanselman how you can restrict access to the API server to a limited set of IP address ranges.

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For developers looking to more easily parallelize their machine learning  workloads with Kubernetes, the open source project Kubeflow has reached version 1.0 this week.

The project was first open sourced in December 2017 at KubeCon+CloudNativeCon and has since grown to hundreds of contributors from more than 30 participating organizations such as Google, Cisco, IBM, Microsoft, Red Hat, Amazon Web Services and Alibaba. Alongside the blog post from the Kubeflow team itself, Google has offered a post on how Kubeflow works with Anthos, while IBM’s Animesh Singh explores the “highlights of the work where we collaborated with the Kubeflow community leading toward an enterprise-grade Kubeflow 1.0.”