Wilsven / mlops-with-mlflow

MLOps with MLFlow

📋 Workflows

1. Update config.yaml
2. Update schema.yaml [For validation]
3. Update params.yaml [For training]
4. Update the entity
5. Update the configuration manager in src/config
6. Update the components
7. Update the pipeline
8. Update the main.py
9. Update the app.py

🤷🏻‍♂️ How to run?

👣 Steps

1. Clone the Repository

git clone https://github.com/Wilsven/mlops-with-mlflow.git

2. Create a conda Environment

conda create -n <ENV NAME> python=3.11 -y

conda activate <ENV NAME>

3. Install the Requirements

pip install -r requirements.txt

4. Start the Application

python app.py

🌊 MLflow

🐶 Dagshub

MLFLOW_TRACKING_URI=https://dagshub.com/your_username/your_project_name.mlflow \
MLFLOW_TRACKING_USERNAME=your_username \
MLFLOW_TRACKING_PASSWORD=your_token \
python script.py

Run the following commands to export as environment variables:

export MLFLOW_TRACKING_URI=https://dagshub.com/your_username/your_project_name.mlflow

export MLFLOW_TRACKING_USERNAME=your_username

export MLFLOW_TRACKING_PASSWORD=your_token

Or you can create an .env file in the root directory:

MLFLOW_TRACKING_URI=https://dagshub.com/your_username/your_project_name.mlflow
MLFLOW_TRACKING_USERNAME=your_username
MLFLOW_TRACKING_PASSWORD=your_token

Edit the .env.example file and rename it to env when done.

AWS CI/CD Deployment with Github Actions

👣 Steps

1. Login to AWS Console

2. Create IAM User for Deployment

# Specific access

1. EC2 access : It is a virtual machine

2. ECR: Elastic Container registry to save your docker image in AWS


# Description

1. Build docker image of the source code

2. Push your docker image to ECR

3. Launch Your EC2

4. Pull your image from ECR in EC2

5. Lauch your docker image in EC2

# Policy

1. AmazonEC2ContainerRegistryFullAccess

2. AmazonEC2FullAccess

3. Create ECR Repository to store/save Docker Image

- Save the URI: 566373416292.dkr.ecr.ap-south-1.amazonaws.com/mlproj

4. Create EC2 Machine (Ubuntu)

5. Open EC2 and Install Docker in EC2 Machine

# Optional

sudo apt-get update -y

sudo apt-get upgrade -y

# Required

curl -fsSL https://get.docker.com -o get-docker.sh

sudo sh get-docker.sh

sudo usermod -aG docker ubuntu

newgrp docker

6. Configure EC2 as Self-hosted Runner:

Settings > Actions > Runner > New self-hosted runner > Select Linux > Execute commands one by one in your Virtual Machine

7. Setup GitHub Secrets

AWS_ACCESS_KEY_ID

AWS_SECRET_ACCESS_KEY

AWS_REGION

AWS_ECR_LOGIN_URI

ECR_REPOSITORY_NAME

About MLflow

• Production Grade
• Experiment tracking
• Loging
• Tagging