Skip to content
View abasu0713's full-sized avatar

Block or report abasu0713

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. example-ceph-object-gateway example-ceph-object-gateway Public

    Some example code for testing connectivity to Ceph's Object Gateway

    Dart

  2. Deploy MongoDB Community K8s Operato... Deploy MongoDB Community K8s Operator on ARM64
    1
    # MongoDB Community Kubernetes Operator on ARM64 
    2
    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):
    3
    1. [#1514](https://github.com/mongodb/mongodb-kubernetes-operator/issues/1514)
    4
    2. [#1420](https://github.com/mongodb/mongodb-kubernetes-operator/issues/1420)
    5
    
                  
  3. Containerize BentoML applications fo... Containerize BentoML applications for deployment in K8s
    1
    # Containerize BentoML applications for deployment in K8s
    2
    In this gist we are simply going to containerize a simple Bento Service with pre-packaged models.  
    3
    
                  
    4
    ## Prerequisites
    5
    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)
  4. Deploy Machine Learning Models as se... Deploy Machine Learning Models as server-less functions in Kubernetes using Knative
    1
    # Deploy BentoML services as server-less functions on Kubernetes using Knative
    2
    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/).
    3
    
                  
    4
    ## Prerequisites
    5
    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
  5. Enable S3 compatible Ceph Object/Rad... Enable S3 compatible Ceph Object/Rados Gateway on Ceph cluster deployed using Microceph
    1
    # Enable S3 Compatible Ceph Object Gateway 
    2
    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 
    3
    for the Object/Rados Gateway service. 
    4
    > If you are going to use this cluster as a storage layer for your different Kubernetes applications, then I recommend doing
    5
    > this from your Active leader. 
  6. Deploy a high availability Ceph clus... Deploy a high availability Ceph cluster using Microceph
    1
    # Minimal High Availability Ceph cluster using Microceph in less than 10 min
    2
    
                  
    3
    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. 
    4
    
                  
    5
    ## Architecture