
StackStorm pioneered if-this-then-that automation for infrastructure. Kestrel gives you event-driven workflows from plain English, with approval gates, AI investigation, and no rules engine to maintain.
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StackStorm pioneered event-driven infrastructure automation: sensors, rules, and actions composed into workflows. The model is powerful and genuinely general, and it runs entirely on your own infrastructure.
Kestrel keeps the event-driven model but removes the authoring burden. Instead of writing sensors, rule definitions, and Orquesta workflows by hand, you describe the automation in plain English and get a workflow you can review, test, and version — with the triggers already wired up.
| StackStorm | Kestrel | |
|---|---|---|
| Authoring model | Sensors, rules, and action-chain or Orquesta YAML you maintain | Plain-English description compiled into a reviewable workflow graph |
| Trigger setup | Write and deploy a sensor per event source | Pre-built triggers across Kubernetes, cloud, CI/CD, alerting, and Slack |
| Operational overhead | You run and upgrade the platform and its packs | Managed service; on-premise available |
| AI investigation | Not part of the product | Built-in RCA that reads logs, metrics, and cloud state before acting |
| Approvals on risky steps | Implemented yourself inside the workflow | First-class approval gates in Slack with a full audit trail |
| Editing surfaces | YAML and the CLI | Natural language, visual canvas, or the Python SDK — same workflow |
Both are reasonable choices. These are the cases where each one wins.
If you have invested in StackStorm packs, need everything self-hosted with no managed component, and your team is comfortable maintaining the rules engine.
If sensor and rule maintenance has become the work, you want investigation before remediation, or you want approvals and audit without building them.
Use natural language to build automations for incident response, cloud provisioning, CI/CD pipelines, security, and more. Edit with words, visually, or in code.
Use your words to build automations for incident response, cloud provisioning, CI/CD pipelines, developer requests, and more — with 200+ pre-built actions across 40+ integrations, and any number of custom actions.

Describe your workflow in plain English. The AI agent will generate a workflow graph you can edit.
Add steps, parameters, or approvals using natural language, edit visually on a DAG canvas with 200+ actions, or jump into the CLI and SDK for full programmatic control.

Describe your workflow in plain English. The AI agent will generate a workflow graph you can edit.
When a Kubernetes deployment rollout fails, in parallel: trigger the rollback GitHub actions and send a Slack message to #k8s-incidents; run RCA, create a GitOps PR for the fix, and on PR merge update the message in #k8s-incidents
Once configured, workflows always run the exact code you define. AI builds the workflow — deterministic execution ensures it runs reliably, every time.

Define who can trigger workflows and who needs to approve before execution. In-platform, Slack-based, and PR-based approval gates.

Track every workflow run with a real-time dashboard. Execution history, step-level logs, latency, and failure reasons.

Browse, filter, and inspect all workflow execution runs.
The Kestrel CLI, Python SDK, and MCP server give developers full control of Kestrel workflows from the terminal, application code, or AI coding assistants.

AI agents analyze your connected integrations and suggest ready-to-use workflows for your organization — so you know exactly what to automate next.

Automate operations with signal-driven, composable pipelines.






40+ integrations across infrastructure, PaaS, CI/CD, security, observability, databases, and more. Plus custom webhooks and HTTP APIs for anything else.
Workflows is usage-based — you pay per execution, not per seat. 14-day free trial, no credit card required.
Usage-based — pay per execution
| Tier | Price | Actions |
|---|---|---|
| Light | $0.10 | Slack, Jira, Linear, GitHub, GitLab, Confluence, Notion, PagerDuty, ArgoCD, Datadog, PostHog, Vercel, AWS Cost queries, custom HTTP APIs and webhooks, conditions, approvals, wait steps |
| Regular | $0.20 | K8s manifest generation, Helm values generation, cloud resource generation, AI cost analysis |
| Heavy | $0.40 | K8s RCA & fix generation, Cloud RCA & fix generation, AI code investigation, AI code fix generation, K8s investigation, cloud investigation, Vercel investigation |
Describe an automation in plain English and Kestrel builds a workflow you can review, test, and run. 14-day free trial with $1,000 in credits — no credit card required.