ResourceFit

ResourceFit is a command-line tool designed to analyze Docker container resource usage and recommend the most cost-effective Amazon Web Services (AWS) EC2 instances based on the container's memory, CPU, and disk space requirements. It fetches real-time container stats, normalizes the data, and compares them against available EC2 instance options, taking AWS EBS storage and pricing into account.

Features

• Host Machine Stats: Collects and displays CPU, memory, disk, and network information from the host machine.
• Docker Container Stats: Analyzes running Docker containers, showing stats like CPU usage, memory consumption, and network I/O.
• EC2 Recommendations: Recommends AWS EC2 instances based on the resource needs of the selected Docker container.
• AWS Pricing Data: Fetches EC2 and EBS pricing data to make cost-efficient recommendations.
• Memory and Disk Space Buffers: Includes customizable memory buffers (50-100%) to ensure recommended instances meet peak resource demands.

Installation

To install ResourceFit, follow the steps below:

1. Have python (version 3.9 and above) installed on your device, follow the link below to do this:

   https://www.python.org/downloads/

2. Install ResourceFit:

   pip install resourcefit

Usage

Once installed, you can use resourcefit from the command line:

resourcefit

The tool will:

1. Display a list of running Docker containers.
2. Allow you to select a container to analyze.
3. Show real-time stats for the selected container (CPU, memory, I/O).
4. Fetch and display AWS EC2 and EBS pricing data.
5. Recommend the top three EC2 instances based on the selected container's resource usage and disk space requirements.

Example Output

Select a container to analyze:
1. webapp (ID: 123abc456def) - Image: webapp:latest
2. nginx (ID: 789ghi012jkl) - Image: nginx:latest

Enter the number of the container (default 1) [1]:

Selected Container ID: 123abc456def

Docker Container Stats:
container_id: 123abc456def
name: webapp
cpu_usage: 0.24%
mem_usage: 256.00 MiB / 1.00 GiB
mem_percentage: 25.00%
net_io_rx: 10.00 kB
net_io_tx: 5.00 kB
block_io_read: 0.00 MB
block_io_write: 0.05 MB
pids: 5

Fetching AWS EC2 pricing data...

Top 3 EC2 Instance Recommendations:
    Instance Type  Memory  vCPU             Storage  priceMonthly
191      t4g.nano     0.5     2  EBS only (5.00 GB)         3.466
277      t3a.nano     0.5     2  EBS only (5.00 GB)         3.831
648       t3.nano     0.5     2  EBS only (5.00 GB)         4.196

Dependencies

ResourceFit requires the following Python libraries:

• psutil: For host machine stats.
• docker: For Docker container stats.
• pandas: For data handling.
• requests: To fetch AWS pricing data.
• click: For the command-line interface.

How It Works

Step 1: Host Machine Stats

The tool collects basic host machine stats, including CPU count, memory size, disk I/O, and network I/O.

Step 2: Docker Container Stats

It lists running Docker containers and provides real-time statistics (CPU, memory, and I/O usage) for the selected container.

Step 3: AWS Pricing Data

ResourceFit fetches EC2 and EBS pricing data from AWS for both Linux and Windows instances in the specified region.

Step 4: EC2 Instance Recommendations

Based on the Docker container stats, ResourceFit recommends the top EC2 instances, applying a 50% memory buffer for peak loads. It also factors in disk space requirements for instances with EBS storage.

Customization

Memory Buffer Factor

The default memory buffer factor is set to 1.5 (50% more memory). This can be adjusted in the source code based on your needs.

AWS Region

By default, the AWS region is set to 'US East (N. Virginia)', but this can be modified in the code to support different regions.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit pull requests or open issues if you encounter any bugs or have feature requests.