95 lines
2.1 KiB
Markdown
95 lines
2.1 KiB
Markdown
[![HitCount](http://hits.dwyl.com/angudadevops/hashi-stack.svg)](http://hits.dwyl.com/angudadevops/hashi-stack)
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<h1>Complete HashiStack</h1>
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<h2> Instroduction </h2>
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This repository helps you to setup your development environemt and also setup production environment with 3 master nodes and 2 clients.
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- [Build and Test Environment](#Build-and-Test-Environment)
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- [Enterprise Environment](#Enterprise-Setup)
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## Motivation
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![Hashi Stack Setup](images/hashi-stack.png)
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![Vault HA Setup](images/vault-ha-consul.png)
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![Nomad HA Setup](images/nomad_ha.png)
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## Build and Test Environment
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Build and test Environment helps you to explore the tools and test your changes on vagrant. You can modify the number of servers on vagrant file to test the changes.
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The Final Test Environment inclides:
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- Vagrant
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- Consul
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- Nomad
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- Vault
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### Prerequsites
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- MacOS (Linux testing in progress)
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- [Homebrew](https://brew.sh/)
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- `brew install packer terraform nomad`
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- `brew cask install virtualbox`
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### Usage
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Update your number of servers depends on your system memory and CPU and run below command to explore hashi tools
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```
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vagrant up
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```
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### Access
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Use the private IP address to access the applications, in this
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```
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Access Nomad Cluster http://172.20.20.11:4646
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Access Consul Cluster http://172.20.20.11:8500
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Access Vault Cluster http://172.20.20.101:8200
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Access Hashi UI http://172.20.20.11:3000
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```
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## Enterprise Setup
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This enterprise setup helps you to setup High Availability cluster with 3 masters and 2 clients on AWS.
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The Final Environments Includes:
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- Packer
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- Terraform
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- Nomad
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- Consul
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- Vault
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### Prerequsites
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- Install Packer and Terraform
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- AWS access credentials
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- AWS private key
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### Usage
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Uset setup.sh scripts helps you to setup cluster environment on AWS. Update your AWS credentials in variables.tf and run the script
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```
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sudo bash setup.sh
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```
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### Access
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With AWS environment we don't have an option to access UI as it's setup with Private IP, but with help of Hashi UI we can access Nomad and Consul
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Use the Output of AWS public IP and access hashi UI
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```
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Access Hashi UI with http://awspublicip:3000
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```
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