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StackStorm

StackStorm

Self-Hosted

Event‑driven automation for modern infrastructure

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Updated 2 days ago
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Overview

Discover what makes StackStorm powerful

StackStorm is an event‑driven automation engine that unifies disparate services, infrastructure, and tooling into a single programmable platform. At its core it exposes an **event bus** where any system can publish or consume events, and a **workflow engine** that orchestrates actions in response to those events. Developers can author *rules* (simple if/then logic) or complex *workflows* composed of multiple actions, timeouts, and conditional branches—all expressed in YAML or Python. The platform is intentionally lightweight yet extensible, enabling rapid integration with CI/CD pipelines, monitoring stacks, cloud providers, and custom APIs.

Rule‑based event handling

Workflow orchestration

Rich action catalog

Observability

Overview

StackStorm is an event‑driven automation engine that unifies disparate services, infrastructure, and tooling into a single programmable platform. At its core it exposes an event bus where any system can publish or consume events, and a workflow engine that orchestrates actions in response to those events. Developers can author rules (simple if/then logic) or complex workflows composed of multiple actions, timeouts, and conditional branches—all expressed in YAML or Python. The platform is intentionally lightweight yet extensible, enabling rapid integration with CI/CD pipelines, monitoring stacks, cloud providers, and custom APIs.

Key Features

  • Rule‑based event handling: Define rules that trigger actions when an event matches a pattern, supporting wildcard and regex matching.
  • Workflow orchestration: Build directed acyclic graphs (DAGs) of actions with parallelism, retries, and failure handling.
  • Rich action catalog: Thousands of pre‑built actions for cloud APIs, configuration management tools, messaging services, and custom scripts.
  • Observability: Built‑in logging, metrics via Prometheus, and webhooks for external dashboards.

Technical Stack

  • Language: Python 3.6+ (core engine, rule evaluation, action execution).
  • Frameworks: Flask‑based REST API for the web UI and external clients; Celery workers handle asynchronous action execution.
  • Databases: PostgreSQL for persistent storage of rules, workflows, and run history; Redis as the Celery broker and result backend.
  • Messaging: Kafka or RabbitMQ (configurable) as the event bus, enabling high‑throughput, fault‑tolerant event distribution.
  • Containerization: Official Docker images and Helm charts for Kubernetes deployments, facilitating immutable infrastructure patterns.

Core Capabilities

  • RESTful API: Exposes CRUD endpoints for rules, workflows, actions, and triggers; supports programmatic management via SDKs.
  • CLI: st2 command line tool for creating, testing, and running rules/workflows locally.
  • Webhooks: Incoming HTTP endpoints that automatically publish events to the bus, allowing integration with external services (e.g., GitHub PRs).
  • Python SDK: Lets developers write custom actions or plugins in pure Python, leveraging the same execution context as native actions.

Deployment & Infrastructure

StackStorm is designed for self‑hosting on any Linux distribution that meets the system requirements. It can run as a single node for small teams or be scaled horizontally:

  • High availability: Multiple API and worker nodes behind a load balancer; PostgreSQL can be replicated.
  • Kubernetes: Helm charts deploy the API, worker, and broker as pods; persistent volumes store state.
  • Bare metal or VMs: The installer script provisions all components, but advanced users can manually configure each service for fine‑tuned performance.

Integration & Extensibility

  • Plugin system: Actions, triggers, and sensors are packaged as Python modules that can be installed via pip or vendored directly into the repository.
  • Custom sensors: Poll external APIs at configurable intervals and emit events to the bus.
  • Webhooks & HTTP triggers: Expose endpoints that automatically translate incoming requests into events, eliminating the need for manual polling.
  • Extensible rule language: Supports Jinja2 templating and custom Python functions within rules for sophisticated decision logic.

Developer Experience

  • Configuration: YAML‑based, declarative files for rules and workflows; environment variables control runtime behavior.
  • Documentation: Comprehensive docs on the official site, including API reference, action authoring guides, and example workflows.
  • Community: Active GitHub discussions, Slack channel, and a forum; frequent releases with backward‑compatible changes.
  • Testing: Built‑in workflow simulator (st2 run) and unit test harnesses for actions.

Use Cases

ScenarioStackStorm Role
Incident response automation (e.g., auto‑scaling after a CPU spike)Triggers monitor events → runs remediation workflow
Continuous delivery pipelinesIntegrates with Jenkins/GitHub Actions; orchestrates build → test → deploy
Multi‑cloud provisioningSensors poll cloud APIs, rules trigger Terraform or Ansible playbooks
Compliance monitoringPeriodic checks via sensors; violations trigger alerts to Slack/JIRA

Advantages

  • Event‑driven architecture eliminates polling overhead and enables real‑time reactions.
  • Python ecosystem: Leverages existing libraries for cloud, networking, and data processing.
  • Open source & permissive licensing (Apache 2.0) allows unrestricted use in production.
  • Modular deployment: Deploy only the components you need; scale workers independently.
  • Extensive action library reduces boilerplate and speeds up development.

StackStorm empowers developers to build robust, event‑centric automation pipelines that integrate seamlessly with existing tooling while remaining fully controllable through code and APIs.

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Information

Category
development-tools
License
APACHE-2.0
Stars
6.4k
Technical Specs
Pricing
Open Source
Database
PostgreSQL
Docker
Official
Supported OS
LinuxDocker
Author
StackStorm
StackStorm
Last Updated
2 days ago