Shubham Agnihotri's repositories

aks-fabrikam-dronedelivery

AKS Fabrikam Drone Delivery :heart: AKS Secure Baseline

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aks-gbb-officehours

Used to host information regarding the GBB-hosted, bi-weekly Public AKS Office Hours

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aks-secure-baseline

This is the Azure Kubernetes Service (AKS) Baseline Cluster reference implementation as produced by the Microsoft Azure Architecture Center.

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application-gateway-kubernetes-ingress

This is an ingress controller that can be run on Azure Kubernetes Service (AKS) to allow an Azure Application Gateway to act as the ingress for an AKS cluster.

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architecture-center

Azure Architecture Center

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awesome-shell

A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.

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azure-devops-docs

This repo is the home of the official Azure DevOps documentation for Microsoft. GitHub Issues filed in this repository should be for problems with the documentation.

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azure-docs

Open source documentation of Microsoft Azure

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azure-quickstart-templates

Azure Quickstart Templates

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cni

Container Network Interface - networking for Linux containers

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dockerOnIaaS

Docker engine POC on Azure IaaS

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docs

Dapr user documentation, used to build docs.dapr.io

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Enterprise-Scale-for-AKS

Enterprise Scale for AKS Reference Implementation Repo

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github-slideshow

A robot powered training repository :robot:

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ingress-nginx

NGINX Ingress Controller for Kubernetes

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istio

Connect, secure, control, and observe services.

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kaniko

Build Container Images In Kubernetes

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kaniko_demo

Short demo for Kaniko

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powershell-intune-samples

This repository of PowerShell sample scripts show how to access Intune service resources. They demonstrate this by making HTTPS RESTful API requests to the Microsoft Graph API from PowerShell.

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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atlassian-dc-deployments-automation

Fork of https://bitbucket.org/atlassian/dc-deployments-automation

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handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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