Add multiple Redis keys in parallel from JSON input

Fan out a JSON array into parallel Redis SET operations with Kestra. Declarative YAML, configurable concurrency, retries, and full run lineage.

More Core Blueprints

A deliberately failing flow that demonstrates block level errors, flow level errors, automatic retries, and KV context for alerting flows.

Provision one Amazon S3 bucket per team and register each as a governed AWS_BUCKET asset in Kestra.

Cache LLM answers in Redis so repeated questions are served instantly and OpenAI is only called on a genuine cache miss.

Collect logs from every pod in a Kubernetes namespace within a time window, plus namespace events, in one run.

Classify every prompt with OpenAI, then route it to the best-fit LLM across Anthropic, Gemini, Perplexity, and OpenAI for quality and cost.

Turn plain-English to-do prompts into structured Todoist tasks using DeepSeek AI structured output and a ForEach HTTP loop.

Turn plain-English questions into PostgreSQL queries with OpenAI GPT-4o, grounded on schema only so no row data ever leaves your database.

Trigger an Airbyte Cloud connection sync on a recurring schedule so your data lands fresh without manual runs.

Run parallel Airbyte syncs, then transform raw data with dbt Core, all in one orchestrated ELT pipeline.

Turn any PDF, web page, or text document into structured JSON with OpenAI GPT-4o, then store the results in PostgreSQL and Slack.

Ingest Salesforce, Google Analytics, and Facebook Ads in parallel with Airbyte Cloud, then transform with dbt in one orchestrated ELT pipeline.

Forecast 7-day demand with OpenAI GPT-4o, auto-generate purchase orders for stockout-risk SKUs, and log them to PostgreSQL every 6 hours.

Use blueprints to kickstart your first workflows.