Remove distributed R2/Iceberg/SSH pipeline architecture in favor of
local subprocess execution with NVMe storage. Landing data backed up
to R2 via rclone timer.
- Strip Iceberg catalog, httpfs, boto3, paramiko, prefect, pyarrow
- Pipelines run via subprocess.run() with bounded timeouts
- Extract writes to {LANDING_DIR}/psd/{year}/{month}/{etag}.csv.gzip
- SQLMesh reads LANDING_DIR variable, writes to DUCKDB_PATH
- Delete unused provider stubs (ovh, scaleway, oracle)
- Add rclone systemd timer for R2 backup every 6h
- Update supervisor to run pipelines with env vars
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Simplify supervisor.sh following TigerBeetle pattern
- Remove complex functions, use simple while loop
- Add || sleep 600 for resilience against crashes
- Use git switch --discard-changes for clean updates
- Run pipelines every hour (SQLMesh handles scheduling)
- Use POSIX sh instead of bash
- Remove /repo subdirectory nesting
- Repository clones directly to /opt/materia
- Simpler paths throughout
- Move systemd service to repo
- Bootstrap copies from repo instead of hardcoding
- Service can be updated via git pull
- Automate bootstrap in CI/CD
- deploy:supervisor now auto-bootstraps on first deploy
- Waits for SSH to be ready (retry loop)
- Injects secrets via SSH environment
- Idempotent: detects if already bootstrapped
Result: Push to master and supervisor "just works"
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Addresses GitLab PR comments:
1. Remove hardcoded secrets from Pulumi.prod.yaml, use ESC environment
2. Simplify deployment by using git pull instead of R2 artifacts
3. Add bootstrap script for one-time supervisor setup
Major changes:
- **Pulumi config**: Use ESC environment (beanflows/prod) for all secrets
- **Supervisor script**: Git-based deployment (git pull every 15 min)
* No more artifact downloads from R2
* Runs code directly via `uv run materia`
* Self-updating from master branch
- **Bootstrap script**: New infra/bootstrap_supervisor.sh for initial setup
* One-time script to clone repo and setup systemd service
* Idempotent and simple
- **CI/CD simplification**: Remove build and R2 deployment stages
* Eliminated build:extract, build:transform, build:cli jobs
* Eliminated deploy:r2 job
* Simplified deploy:supervisor to just check bootstrap status
* Reduced from 4 stages to 3 stages (Lint → Test → Deploy)
- **Documentation**: Updated CLAUDE.md with new architecture
* Git-based deployment flow
* Bootstrap instructions
* Simplified execution model
Benefits:
- ✅ No hardcoded secrets in config files
- ✅ Simpler deployment (no artifact builds)
- ✅ Easy to test locally (just git clone + uv sync)
- ✅ Auto-updates every 15 minutes
- ✅ Fewer CI/CD jobs (faster pipelines)
- ✅ Cleaner separation of concerns
Inspired by TigerBeetle's CFO supervisor pattern.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implements automated supervisor instance deployment that runs scheduled
pipelines using a TigerBeetle-inspired continuous orchestration pattern.
Infrastructure changes:
- Update Pulumi to use existing R2 buckets (beanflows-artifacts, beanflows-data-prod)
- Rename scheduler → supervisor, optimize to CCX11 (€4/mo)
- Remove always-on worker (workers are now ephemeral only)
- Add artifacts bucket resource for CLI/pipeline packages
Supervisor architecture:
- supervisor.sh: Continuous loop checking schedules every 15 minutes
- Self-updating: Checks for new CLI versions hourly
- Fixed schedules: Extract at 2 AM UTC, Transform at 3 AM UTC
- systemd service for automatic restart on failure
- Logs to systemd journal for observability
CI/CD changes:
- deploy:infra now runs on every master push (not just on changes)
- New deploy:supervisor job:
* Deploys supervisor.sh and systemd service
* Installs latest materia CLI from R2
* Configures environment with Pulumi ESC secrets
* Restarts supervisor service
Future enhancements documented:
- SQLMesh-aware scheduling (check models before running)
- Model tags for worker sizing (heavy/distributed hints)
- Multi-pipeline support, distributed execution
- Cost optimization with multi-cloud spot pricing
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
