fetch_ml/build
Jeremie Fraeys c459285cab
chore(deploy): update deployment configs and TUI for scheduler
Update deployment and CLI tooling:
- TUI models (jobs, state) with scheduler data
- TUI store with scheduler endpoints
- TUI config with scheduler settings
- Deployment Makefile with scheduler targets
- Deploy script with scheduler registration
- Docker Compose files with scheduler services
- Remove obsolete Dockerfiles (api-server, full-prod, test)
- Update remaining Dockerfiles with scheduler integration
2026-02-26 12:08:31 -05:00
..
docker chore(deploy): update deployment configs and TUI for scheduler 2026-02-26 12:08:31 -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.