Real ChatGPT answer · index seedAwov6BWbNl0completeB2B software · data and analytics platformsinformational
What is the best way to monitor dbt cloud job run durations and alert our team on Slack when a critical model fails?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the best way to monitor dbt cloud job run durations and alert our team on Slack when a critical model fails?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
dbt Cloud job run notifications Slack webhooks job duration monitoring artifacts official docs Google ↗
dbt Cloud API run results artifacts model failures run duration official documentation Google ↗
- Deploy dbt · docs.getdbt.com
- Productionize your dbt Databricks project · docs.getdbt.com
- Run visibility · docs.getdbt.com
- Model performance · docs.getdbt.com
- Run results JSON file · docs.getdbt.com
- dbt Developer Hub · docs.getdbt.com
- Import metadata from dbt Core and Cloud | Knowledge Catalog | Google Cloud Documentation · docs.cloud.google.com
- dbt Cloud · docs.datadoghq.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
dbt Cloud job run notifications Slack webhooks job duration monitoring artifacts official docs OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
dbt Cloud API run results artifacts model failures run duration official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 |