fetch_ml/build
Jeremie Fraeys 3de1e6e9ab feat: add comprehensive configuration and deployment infrastructure
- Add development and production configuration templates
- Include Docker build files for containerized deployment
- Add Nginx configuration with SSL/TLS setup
- Include environment configuration examples
- Add SSL certificate setup and management
- Configure application schemas and validation
- Support for both local and production deployment scenarios

Provides flexible deployment options from development to production
with proper security, monitoring, and configuration management.
2025-12-04 16:54:02 -05:00
..
docker feat: add comprehensive configuration and deployment infrastructure 2025-12-04 16:54:02 -05:00
README.md feat: add comprehensive configuration and deployment infrastructure 2025-12-04 16:54:02 -05:00

Build Configuration

This directory contains build configurations for containerization.

Docker

Location: build/docker/

Dockerfiles

  • simple.Dockerfile - Lightweight API server image
  • api-server.Dockerfile - Full-featured API server

Usage

# Build from project root
docker build -f build/docker/simple.Dockerfile -t fetchml:latest .

# Or use Makefile
make docker-build

Podman

Location: ../podman/

Podman configurations for running ML experiments with GPU support.

Note: Not for building - these are runtime configs for experiment execution.