Solutions · Infrastructure Monitoring
Full observability for your data stack
TerraBog gives your data engineering team real-time visibility into every pipeline, query, and data quality metric — so you catch issues before users do.
99.9%
pipeline uptime SLA
guaranteed contractually
<5 sec
mean alert latency
from failure to notification
100%
coverage
end-to-end column lineage
0
manual retries required
with auto-recovery enabled
Capabilities
Data reliability at every layer
From ingestion to dashboards, TerraBog monitors your entire data stack and alerts on failures, drift, and latency violations.
Pipeline Health Monitoring
Real-time visibility into every data pipeline stage. Detect stalls, schema drift, and data quality failures the moment they occur.
SLA Alerting
Define SLAs on freshness, latency, and completeness. Get paged immediately when a pipeline misses its contractual threshold.
Data Quality Checks
Automated row-count, null-rate, and distribution checks run after every sync. Quarantine bad batches before they corrupt dashboards.
Lineage Graph
End-to-end column-level lineage from source to dashboard. Instantly understand what breaks when an upstream schema changes.
Query Performance Profiling
Identify slow queries, expensive joins, and resource-intensive workloads. Optimization suggestions surface automatically.
Freshness Tracking
Track data freshness at the table level. Alert on stale sources before analysts build on outdated data.
Observability Dashboard
Single-pane view of all pipeline statuses, error rates, and sync schedules. No more digging through logs.
Auto-Recovery
Configurable retry logic and fallback strategies restart failed pipelines automatically without on-call intervention.
Single pane of glass
Every pipeline. One screen.
Stop juggling multiple observability tools. TerraBog consolidates pipeline monitoring, data quality checks, and query performance into a single workspace your entire data team shares.
Pipeline Status · Live
Know about data issues before your users do
Set up comprehensive monitoring for your entire data stack in under 30 minutes.