dataops-sla-monitoring

What problem does it solve?

It helps data teams prevent consumers from using stale or incomplete data by defining, monitoring, and acting on DataOps SLAs such as freshness, completeness, and latency.

Core Features & Use Cases

• Freshness SLA monitoring (availability by time): Monitor recency using Prometheus-derived metrics or SQL checks that compare last update timestamps against SLA thresholds.
• Completeness SLA monitoring (volume correctness): Detect missing or anomalous data via Soda Core checks and row-count variance logic versus a reference period.
• SLA breach operations (alerts, error budgets, and reporting): Link breaches to root causes, track error budget consumption, notify consumer channels, and produce dashboards for weekly SLA performance.

Quick Start

Use dataops-sla-monitoring to define freshness and completeness SLAs for gold datasets, run automated checks on a schedule, and get alerting plus consumer notifications when SLAs are at risk or breached.