When platform teams are planning Cloud Native platforms for their application developers, they often need to decide how to manage persistent storage: either as a MongoDB workload running inside their Kubernetes cluster or as a managed service outside of the cluster.
In this session, we’ll show you how to set up a platform that includes Azure Kubernetes Service (AKS) with scalable persistent storage provided by Azure Cosmos DB with its API support for MongoDB – and we’ll do it all using Python and Pulumi.
- Mitch GerdischLead Sales Engineer, Pulumi
- Jay GordonSenior Product Manager, Microsoft
What you will learn:
- Deploy and manage k8s clusters
- Deploy and manage Azure Cosmos DB with MongoDB support
- Deploy and manage K8s services
Get Started with Pulumi
- Create an AWS S3 Bucket then modify the bucket to host a static website.
- Create an Azure Resource Group and Storage Account, then export the storage account’s connection string.
- Create a Google Cloud Storage Bucket and apply labels to that bucket.
- Create a Kubernetes NGINX deployment and add a config value for MiniKube deployments.
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