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This gist aims to provide the shortest path to deploying MongoDB Community Kubernetes Operator on ARM64 machines with some clarifications in response to the following Open Issues about ARM64 support on the [official repository](https://github.com/mongodb/mongodb-kubernetes-operator):
# Containerize BentoML applications for deployment in K8s
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In this gist we are simply going to containerize a simple Bento Service with pre-packaged models.
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## Prerequisites
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1. You have already created a Bento Service locally and have tested it. Refer to [this Gist](https://gist.github.com/abasu0713/9c23b5ada895e9c7ac93f1769d4ccb84) if you need to get started on creating [Bento Services](https://docs.bentoml.org/en/latest/guides/services.html)
# Deploy BentoML services as server-less functions on Kubernetes using Knative
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In this gist we are going to deploy a containerized BentoML service to Kubernetes as a server-less function using [Knative](https://knative.dev/docs/).
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## Prerequisites
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1. A BentoML service that you have already locally tested. Refer to [this gist](https://gist.github.com/abasu0713/9c23b5ada895e9c7ac93f1769d4ccb84) for more information on how to create one as an example
You can run this from any node that is part of the Ceph Cluster deployed using Microceph. The node you run the following commands from becomes the host
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for the Object/Rados Gateway service.
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> If you are going to use this cluster as a storage layer for your different Kubernetes applications, then I recommend doing
# Minimal High Availability Ceph cluster using Microceph in less than 10 min
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This gist provides you with the steps to deploy a minimally viable High Availability (HA) Ceph Cluster. It follows the [Microceph Multi-node install guide](https://canonical-microceph.readthedocs-hosted.com/en/reef-stable/tutorial/multi-node/) but adds a little more detail to make the deployment simpler.