azure-sandbox

Architectural approaches to core cloud concepts in azure. For the sake of clearity, I will focus on api layer for product-services, while i highlight high level design.

• /doc : architecture design document and agenda
• /iaas : implementation scripts for traditional IaaS in cloud

How to Start

1. Install package manager for Mac OS or Windows Sublinux w/ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
   • or use https://chocolatey.org/ for Windows
2. Install IDE w/ brew cask install visual-studio-code
   • then, install azure cli addon for .azcli files
   • then, install Azure Resource Manager Tools addon for prepare resource manager templates,
     • execute steps to finish config in https://github.com/Azure/azure-xplat-arm-tooling
3. Get code w/ git clone https://github.com/tansudasli/azure-sandbox.git
   • then, cd azure-sandbox if you need.
4. Install azure cli w/ brew install azure-cli
   • then, configure w/ az login
     • If you don't have azure account, create one.
5. Create ssh public keys instead of using password in ssh connection Mac OS or Windows Sublinux.
   • ssh-keygen -f ~/azure.pem
   • cp ~/azure.* .
6. to get into action
   • for IaaS core concepts
     • standalone, run ./iaas/01-preparations.azcli && ./iaas/02-create-server.azcli
     • scalable from VM image, run ./iaas/01-preparations.azcli && ./iaas/02-create-server.azcli && ./iaas/03-create-image.azcli && ./iaas/05-create-scale-set.azcli
     • scalable w/ cloud-init, run ./iaas/01-preparations.azcli && ./iaas/05-create-scale-set-cloud-init.azcli
   • for IaaS best practise use resource manager templates under /iaas-prod-ready folder

High Level Architecture - IaaS > best practice

High Level Architecture - IaaS > scalable > production ready

For a winning strategy

an organization should, at least, dockerize their new applications and use Kubernetes for cluster management, instead of IaaS arcitecture.

• Then, later you can give them serverless capability.
• Then, you can dockerize old legacy applications, and go on.