Atlas watches your data warehouse and fixes revenue problems. This live workflow predicts a miss, finds its cause, opens the fix, and confirms recovery.
Current run
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Incidents
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Run history
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How it works
One closed loop turns a forecast signal into a verified fix.
BigQuery and BQMLRevenue history, order failures, change events, and an ARIMA_PLUS forecast provide the evidence.
ADK specialist workflowWatcher, investigator, correlator, actor, and verifier share one durable incident record.
Reviewable outcomesFirestore keeps the audit trail. GitHub holds the proposed configuration change and verification closes the incident.
Technical stack
Safety
Every read, write, and public demo run passes through explicit limits.
🛡️ Runtime guardrails
Each action is checked before it can touch a live system.
👁️
Investigations use read-only SQL
Diagnostic queries cannot alter or delete source tables. Demo resets and approved fixes use separate, scoped write paths.
under the hood · READ_ONLY_SQL
✋
Approvals and action limits control each fix
Real-world actions are capped per cycle and can require a person to approve before they run.
under the hood · ACTION_LIMITER + approval gate
🧯
Analysis is screened before acting
Every generated diagnosis and action is safety-checked before it leaves the sandbox.
under the hood · CONTENT_SAFETY
↩️
Fixes are reversible and verified
Remediations are chosen to be undoable, then re-checked to confirm they worked.
under the hood · closed-loop verification
🔐 Public demo protection
The costly reset-and-run path has its own server-side gate.
⌨️
Short-lived verification code
Each distorted code expires after three minutes and can be submitted only once.
⏱️
One run per address every 20 seconds
Rapid repeats stop before BigQuery, the forecast model, Gemini, or GitHub are called.
1️⃣
One live run at a time
The Cloud Run instance refuses overlapping demo work with a clear retry response.