Observability gives you a single place to see whether data arrived on time, whether quality checks passed, and whether costs trend in the wrong direction. You move from reactive tickets to proactive fixes using dashboards, diagnostics, DLQ tooling, cost signals, and alerts.Documentation Index
Fetch the complete documentation index at: https://docs.planasonix.com/llms.txt
Use this file to discover all available pages before exploring further.
Capabilities
Dashboard
Health summaries, run history, and quality signals at a glance.
Data diagnostics
Profile datasets and investigate anomalies.
Dead letter queue
Manage failed records across pipelines and syncs.
Cost insights
Track spend drivers and optimization hints.
Alerts
Notify the right people when behavior drifts.
How teams use observability together
- Data engineers watch failure rates, duration regressions, and DLQ depth.
- Analytics engineers monitor semantic freshness and schema monitors tied to dashboards.
- Finance reviews cost insights against budget owners and pipeline tags.
Tag pipelines with
cost_center, product, or env so reports roll up the way finance expects.Getting started
Pin critical pipelines
Mark top-tier pipelines as favorites or critical so they appear on the default dashboard.
Enable baseline alerts
Start with failure notifications, then add duration and volume anomaly rules.