OPERATOR
Platform Reliability Agent
Data quality, lineage, anomaly detection, freshness, observability, cost optimization - all managed by one agent. The Operator detects, diagnoses, and fixes. Not just alerts. Works with your existing observability stack - or sets up open-source tooling to get you running from day one.
.png)
.png)
3AM. Black Friday. Kafka partition lag. The Operator already handled it.
Auto-scaled, backfilled, validated.
Engineer read the post-mortemat standup.
Business impact: zero.
"Dashboard numbers are wrong." The Operator traced it in seconds.
Followed the lineage from dashboard to mart to staging tosource. Found a broken pipeline.
Fixed it. Backfilled. Dashboard: corrected.
847 alerts last month. 12 were real. The Operator dropped the other 835.
Monitors only attributes that downstream consumers actually query.
No noise. No alert fatigue. Just signal.
4 years of hot data. 83%of queries touch the last 30 days.
The Operator moved the rest to cold storage. $47K/month became $12K.
Query performance: unchanged.
"What breaks if we drop this table?"Full blast radius. 3 seconds.
12 models, 23 dashboards, 2 ML pipelines, 1 board report. Color-coded by severity.
Before you even open Slack.
Fraud detection running on batch. The Operator moved it to real-time.
Analyzed query latency requirements, identified ClickHouse as the right engine, rerouted the workload, and validated accuracy.
Fraud caught in milliseconds, not hours. Millions saved.
Meet WALT, your AI context engineer. He builds your ReasonBaseTM, a dynamic data reasoning layer for trusted, consistent AI workflows.
.png)
.png)