Use-cases
Users
Industries
Hi! I'm your Kestra AI assistant.Ask me anything about workflows.
EXAMPLE QUESTIONS
The first step is always the hardest. Search or browse to kick-start your next flow.
141 Blueprints
Open a Jira incident ticket, alert your on-call team in Slack, generate a timeline report, and log every incident to PostgreSQL in one flow.
Build a Docker image, block HIGH/CRITICAL CVEs with Trivy, push to your registry, then sign with cosign.
Automatically open a Zendesk incident ticket whenever any workflow in your namespace fails or warns.
Incrementally back up a Dropbox folder to Amazon S3 every night, copying only files changed since the last run, with file filtering, retries, and Slack alerts.
Provision with Terraform, configure with Ansible, then trigger a Jenkins test job, poll it to completion, and report to Discord.
Build a Docker image once, pause for human approval, then retag that exact image ID to production and push it.
Spin up an ephemeral Docker Compose stack, smoke-test it, and always tear it down, even when the test fails.
Send enriched failure alerts to Slack with the real error message pulled from a failed Kestra execution.
Trigger a Jenkins job from a webhook, poll the lastBuild API until the build finishes, and post the result to Slack.
When a task fails, OpenAI explains the error in plain English and posts it to Slack so engineers fix issues faster.
Collect logs from every pod in a Kubernetes namespace within a time window, plus namespace events, in one run.
Provision one Amazon S3 bucket per team and register each as a governed AWS_BUCKET asset in Kestra.
Webhook-driven user provisioning that validates the request, then creates the account, assigns groups, and calls downstream APIs with automatic retries.
Create an IIS application pool and website, bind an SSL certificate from the local store, run a health check, and roll back on failure, all via PowerShell.
Build a Docker image, run it, and provision files with Terraform in one declarative Kestra pipeline.
Run a Jenkins build, poll until it finishes, request approval in Teams, pause for a named reviewer, then trigger the deploy and confirm on Slack.
AI-powered Kubernetes incident monitor that collects cluster data, diagnoses issues with Gemini, and alerts Slack on high severity.
Alert-triggered Kubernetes deployment restart with namespace allowlist guardrails, health verification with retries, and Slack notifications.
Create a Kubernetes pod, inspect its status with kubectl, log the result, and clean it up automatically.
Roll a shared Kubernetes manifest out to a fleet of tenant clusters and verify every apply.
Run a GPU workload as a Kubernetes pod, pull its output artifact into Kestra storage, and notify Slack.
Send a Discord alert automatically whenever any Kestra workflow execution fails or finishes with a warning.
Ship Kestra execution logs to Datadog every morning for centralized observability, monitoring, and alerting.
Two-stage CSV validation in one working directory, a bash structural check followed by a pandas column check, with both scripts shipped inline so the flow deploys standalone.