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Argy
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Run & Operations

Make execution observable and actionable: runs, logs, outputs, DORA metrics, SLO tracking, drift detection, and incident visibility.

Platform Engineering isn’t only about “shipping”. At scale, the cost is often in operating: incidents, drift, and lack of visibility.

Argy’s goal is to make execution observable and governable:

  • runs have clear statuses,
  • logs and outputs are accessible,
  • governance and auditability are built in.

Pipelines and runs

Argy provides a unified view of executions:

  • all pipelines (chronological),
  • by project,
  • by module (usage),
  • by environment.

Run details

Each run includes:

  • step status,
  • real-time logs (WebSocket),
  • structured outputs (JSON),
  • artifacts and exports,
  • execution agent information (id/version),
  • triggering user.

Run actions

You can cancel, retry, approve/reject (when applicable), and export logs and artifacts.

Platform observability

Argy exposes platform-level signals to steer reliability and delivery:

  • DORA metrics (deployment frequency, lead time, change failure rate, time to restore)
  • SLO tracking and trends
  • drift detection
  • incident visibility (severity, resolution time) and correlation with deployments

Governance and evidence

Operational governance is supported through approval policies and audit logs:

  • traceability of actions (who/what/when/resource),
  • CSV exports,
  • retention (minimum 90 days).

Next steps