helixml / aispec

Application Deployment

Overview

This outline describes the process for packaging and deploying applications developed for use with the AISpec project.

Packaging and Deployment

Applications are packaged and deployed as Docker images. The following steps are used:

  • Build Docker Image: This step builds a Docker image using the provided Dockerfile, using the docker build command. The Dockerfile should include all necessary dependencies, configurations and environment variables needed to run the application.
  • Push Docker Image to Registry: The built image is then pushed to a registry, such as Docker Hub. This allows for easy distribution and deployment of the image to different environments.
  • Deploy Application: This step involves pulling the image from the registry and running it in a container on the target platform, like Kubernetes. The container can be configured using YAML files or other configuration methods supported by the target platform.

Examples

Dockerfile:

# Example Dockerfile for AISpec application
          FROM python:3.9-slim
          
          # Set work directory
          WORKDIR /app
          
          # Copy application code to work directory
          COPY . .
          
          # Install dependencies
          RUN pip install -r requirements.txt
          
          # Expose application port
          EXPOSE 8000
          
          # Run the application 
          CMD ["python", "app.py"]

Kubernetes Deployment YAML:

apiVersion: apps/v1
          kind: Deployment
          metadata:
            name: aispec-app
          spec:
            replicas: 3
            selector:
              matchLabels:
                app: aispec-app
            template:
              metadata:
                labels:
                  app: aispec-app
              spec:
                containers:
                - name: aispec-app
                  image: helixml/aispec-app:latest
                  ports:
                  - containerPort: 8000

Using Docker Compose:

version: '3.8'
          services:
            aispec-app:
              build: .
              ports:
                - "8000:8000"
              volumes:
                - .:/app

Notes

  • The specific packaging and deployment process may vary depending on the application and the target environment.
  • The Dockerfile should be tailored to the specific requirements of the application, including dependencies, configuration and environment variables.
  • The Kubernetes deployment YAML or Docker Compose configuration should be adjusted to match the requirements of the target platform and the application.