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https://github.com/mukulmantosh/pulumi_django
Managing AWS Resources from Django Admin using Pulumi
https://github.com/mukulmantosh/pulumi_django
aws django iaac infrastructure-as-code pulumi pulumi-aws python3
Last synced: 13 days ago
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Managing AWS Resources from Django Admin using Pulumi
- Host: GitHub
- URL: https://github.com/mukulmantosh/pulumi_django
- Owner: mukulmantosh
- Created: 2023-01-28T12:17:52.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2023-02-19T05:52:41.000Z (about 2 years ago)
- Last Synced: 2025-02-06T19:32:13.963Z (14 days ago)
- Topics: aws, django, iaac, infrastructure-as-code, pulumi, pulumi-aws, python3
- Language: Python
- Homepage:
- Size: 1.24 MB
- Stars: 4
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# IaaC using Django & Pulumi
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## Prerequisites
Before starting up this project, make sure you have an AWS account.
### Software Installation
- [x] [AWS Command Line Interface](https://aws.amazon.com/cli/) - The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services.
- [x] [Pulumi](https://www.pulumi.com/) - Universal Infrastructure as Code
## Python Dependencies
- Installing Python Packages
```bash
$ pip install -r requirements.txt
```
* Note: For our project we are using **db.sqlite3**. I strongly recommend to use Postgres/MySQL when setting up in production.
## Pulumi Stack
Login to Pulumi and create a new project.
Make sure to name the stack as **aws-python**.
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Update the respective YAML files & django settings in the codebase.
**Pulumi.yaml**
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**settings.py**
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## Pulumi CLI
Run the below command :
- **pulumi login**
## Migrating Tables
Run the below command :
- **python manage.py migrate**
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## Creating SuperUser
Run the below command :
- **python manage.py createsuperuser**
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## AWS Credentials
Make sure to update your AWS credentials, residing in **$HOME/.aws/credentials**
* Note: For this demo, make sure the IAM User should have **AdministratorAccess**. This is not **recommended** permission you need to give. Kindly, follow the security best practices.
```
[default]
aws_access_key_id = xxxxxxxxxxxxxxxxxxxxx
aws_secret_access_key = xxxxxxxxxxxxxxxxxxxxxxx
```## Loading AWS Resources
Run the below command :
- **python manage.py load_resources**
This command is going to dump all the AWS resources into your database.
- VPC
- Subnets
- Security Groups
- Key Pair
- Instance Types
## Logging into Django Admin
Provide the superuser credentials, which you have created recently.
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You can now observe that all the AWS information has been dumped in our database, and it's reflected in the admin.
### Instance Types
### Operating Systems
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## Creating an EC2 Instance
We will provide all the necessary information for creating EC2 Instance.
* Note: Pulumi will be invoked in the foreground, I recommend using background tasks like Celery & RabbitMQ
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You can see below, that the instance has been created and the Public IPv4 address has been updated.
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## Deleting an EC2 Instance
Now, we will go ahead and delete the instance information from Django Admin
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You can observe the django console, that Pulumi has started the process to terminate the instance.
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## References
If you are interested to know more about Pulumi.
- [How to use Pulumi YAML](https://www.pulumi.com/docs/intro/languages/yaml/)
- [Pulumi Automation API](https://www.pulumi.com/automation/)