sample-capacity-finder-for-ec2-capacity-block-and-sagemaker-training-plan

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sample-capacity-finder-for-ec2-capacity-block-and-sagemaker-training-plan

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A Streamlit app for exploring available AWS EC2 Capacity Blocks and SageMaker Training Plans across regions and instance types.

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# AWS EC2 Capacity Blocks and SageMaker Training Plans Finder

🔎 A Streamlit app for exploring available AWS [EC2 Capacity Blocks](https://aws.amazon.com/ec2/capacityblocks/) and [SageMaker Training Plans](https://docs.aws.amazon.com/sagemaker/latest/dg/reserve-capacity-with-training-plans.html) across regions and instance types.

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Streamlit](https://img.shields.io/badge/Streamlit-1.49+-brightgreen)](https://streamlit.io)
[![Python](https://img.shields.io/badge/python-3.13%2B-blue)](https://www.python.org/)

## Very Quick Start

This is a single-file Streamlit app. Run it directly with:
```bash
uvx --with boto3==1.43.36 --with pandas==2.3.2 --with numpy==2.3.5 --with pyarrow==21.0.0 --from streamlit==1.54.0 streamlit run https://raw.githubusercontent.com/aws-samples/sample-capacity-finder-for-ec2-capacity-block-and-sagemaker-training-plan/main/app.py
```

Prerequisites:
- [`uv`](https://docs.astral.sh/uv/getting-started/installation/) installed (provides the `uvx` command)
- AWS credentials configured (e.g. `aws configure`, or `AWS_ACCESS_KEY_ID` / `AWS_SECRET_ACCESS_KEY` env vars)
- AWS IAM permissions: `ec2:DescribeCapacityBlockOfferings`, `ec2:DescribeAvailabilityZones`, `sagemaker:SearchTrainingPlanOfferings`

## Quick Start

1. **Clone the repository**
   ```bash
   git clone <Repo URL>
   cd <Repo folder>
   ```

2. **Install dependencies**
   ```bash
   pip install -r requirements.txt
   ```

3. **Configure AWS credentials**

The app requires the following AWS IAM permissions:
   - `ec2:DescribeCapacityBlockOfferings`
   - `ec2:DescribeAvailabilityZones`
   - `sagemaker:SearchTrainingPlanOfferings`

```bash
   aws configure

# or set environment variables
   export AWS_ACCESS_KEY_ID=your_key
   export AWS_SECRET_ACCESS_KEY=your_secret
   ```

4. **Run the application**
   ```bash
   streamlit run app.py
   ```

## Additional
- (Optional) Create and activate a virtual environment:
```
python -m venv venv
source venv/bin/activate
```
- Example of a minimal IAM policy:
```
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "ec2:DescribeCapacityBlockOfferings",
        "ec2:DescribeAvailabilityZones",
        "sagemaker:SearchTrainingPlanOfferings"
      ],
      "Resource": "*"
    }
  ]
}
```

## License

This project is licensed under the [MIT License](https://opensource.org/licenses/MIT).

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