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EXAMPLE QUESTIONS
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175 Blueprints
Reset a Redis list and push a fresh set of string values in one declarative Kestra flow.
Write many Redis keys in parallel from a single JSON input, fanning out one SET per entry.
Poll SAP HANA for new high-value transactions and alert the finance team in Slack in near real time.
Detect data anomalies in new S3 files with DuckDB SQL and email a CSV of the bad rows.
Scheduled BigQuery row enrichment with a Gemini model on Vertex AI, with concurrency control, write-back, and email alerts.
Build dbt models, gate on dbt test, then activate a Hightouch sync only when tests pass, paging PagerDuty when they fail.
Trigger a Python data pipeline automatically whenever a new file lands in an Amazon S3 bucket.
Export a SAP HANA analytics view to CSV in an S3 data lake on a daily schedule.
Run a staging Hightouch sync, notify Microsoft Teams, pause for human approval, then fire the production sync with a full reviewer audit trail.
Bootstrap a ClickHouse database and table, insert rows, and run a SQL query that stores results, all in one Kestra flow.
Download a CSV, truncate-and-reload it into Vertica with a batch insert, then run a columnar aggregation query.
Re-ingest documents nightly, embed them with Gemini, and store the vectors so a RAG app retrieves grounded context.
Fan out a list of data partitions and process each one in parallel with isolated Python scripts in Docker, capturing row-count and timing metrics.
Stream Google Cloud Pub/Sub messages into Postgres in real time, one governed Kestra execution per message, with safe upserts and Teams alerts.
After a scheduled BigQuery aggregation, publish a completion event to a Google Cloud Pub/Sub topic so downstream consumers and flows react.
Ingest JSON from Amazon S3, unify and curate it with DuckDB, and register every step as governed dataset assets with full lineage.
Run a parametrized Python script in Kestra that emits downloadable files, named outputs, and custom metrics.
Trigger on new S3 files, batch load each one into Postgres in parallel, transform with dbt, and alert Slack on failure.
Generate a mock user record and write it to Redis as JSON in one declarative flow.
Set and retrieve a JSON value in Redis from a Kestra workflow using runtime inputs.
Run a transactional, idempotent SAP HANA partition reload, then verify source and target row counts match.
Process a list of CSV files in parallel, each in its own isolated Python and Pandas container.
Stream Apache Pulsar messages straight into MySQL in real time, one row per event.
React to every Redis List push in real time and stream the event straight into Apache Cassandra.