DevOps + AI.

Pulse of Earth

Seismic data as a product foundation. Processing Earth's weak signal, validating its quality, and publishing a stable JSON feed for the application.

Decision

A static feed updates on a schedule. Reading these data does not require an always-on application backend.

Reliability

Current measurement → last confirmed measurement → baseline. A fixed 13 + 13 second breathing rhythm is independent of signal quality.

Code evidence

A data schema, spectral detector, and automated feed publication.

Open Pulse of Earth

The product landing page is public. The repository is private; full source access requires permission.

candidate = client.get_waveforms(
    network=net,
    station=sta,
    location=location,
    channel=chan,
    starttime=start,
    endtime=end,
)
if len(candidate) == 0:
    errors.append(f"{label}: no data returned")
    continue

AI Orchestrator

Coordinating AI agents, automating repositories, and verifying results. A dedicated control plane for working across multiple products.

Decision

Explicit project profiles and ownership boundaries. The Orchestrator coordinates work while product code and data stay in their own repositories.

Verification

Evidence collection and an action log. The minimal API exposes health, version, and managed projects; the container runs without root on a read-only filesystem.

Implementation limits

Terraform and parts of the staging automation remain prototypes that need validation before production.

def _project_ids() -> list[str]:
    if not PROJECTS_DIR.is_dir():
        return []
    return sorted(
        path.stem
        for path in PROJECTS_DIR.glob("*.yaml")
    )