Puppet enforces desired state on infrastructure through agents and a custom DSL. Kestra orchestrates workflows across data, infrastructure, business processes, and AI in declarative YAML. Different problems, different tools.
Declarative YAML workflows versioned in Git, executed in isolated containers, deployed through CI/CD. Orchestrate data pipelines, infrastructure operations, business processes, and AI workflows from a single platform. Event-driven at its core, with any engineer able to build and ship workflows without learning a custom DSL.
Agent-based platform that enforces desired state on managed nodes using Puppet DSL manifests. A Puppet Agent runs on every managed node, periodically pulling configurations from a Puppet Server and converging the node to the declared state. Strong at configuration drift detection and compliance enforcement.
Puppet Enterprise requires deploying a Puppet Server, installing Puppet Agents on every managed node, writing manifests in Puppet DSL, and configuring classification rules. Kestra's single Docker Compose command gives you a production-shaped environment in minutes.
curl -o docker-compose.yml \https://raw.githubusercontent.com/kestra-io/kestra/develop/docker-compose.ymldocker compose up
# Open localhost:8080# Pick a Blueprint, run it. Done.Download the Docker Compose file, spin it up, and you're ready (database and config included). Open the UI, pick a Blueprint, run it.
Puppet Enterprise requires installing the Puppet Server (or PE monolithic install), deploying Puppet Agents on each managed node, writing Puppet DSL manifests, configuring node classification, and waiting for the first agent run to converge. The learning curve for Puppet DSL adds additional time before teams are productive.
YAML is readable on day 1. Our docs are embedded in the UI for easy reference, the AI Copilot writes workflows for you, or start with our library of Blueprints. Engineers deploy through Git, same as application code.
Puppet uses its own declarative DSL to define the desired state of infrastructure. Manifests describe resources (packages, files, services) and their relationships. The DSL is powerful for configuration management but requires learning Puppet-specific syntax, resource types, and concepts like classes, modules, and Hiera data lookups.
Orchestrate data pipelines, infrastructure operations, business processes, and AI workflows from a single open-source platform. Event-driven at its core, with native triggers for S3, webhooks, Kafka, database changes, and API events. 1200+ open-source plugins.
Agent-based configuration management platform that enforces desired state across infrastructure. Puppet Forge module ecosystem for packages, services, files, and cloud resources. Now owned by Perforce, with Puppet Enterprise providing RBAC, orchestration, compliance reporting, and node management at scale.
| | ||
|---|---|---|
| Primary purpose | Workflow orchestration | Configuration management |
| Workflow definition | Declarative YAML | Puppet DSL (Ruby-based declarative language) |
| Architecture | Event-driven, containerized execution | Agent-based convergence loop (pull model) |
| Execution model | On-demand, scheduled, or event-triggered | Periodic convergence (default: every 30 min) |
| Deployment model | Single Docker Compose (self-hosted or Kestra Cloud) | Puppet Server + Agent on every managed node |
| Languages supported | Any (Python, SQL, R, Bash, Go, Node.js) | Puppet DSL, Ruby (for custom types and functions) |
| Licensing | Open source (Enterprise tier available) | Open source Puppet + Puppet Enterprise (commercial) |
| Self-service for non-engineers | Kestra Apps | Console UI for node management, not workflow triggers |
| Plugin ecosystem | 1200+ plugins (cloud, databases, APIs, AI) | Puppet Forge modules (infrastructure-focused) |
| Drift detection | Not a primary use case | ✓ Native configuration drift detection and remediation |
| Time to production | Minutes (Docker Compose) | Hours to days (Server + Agent deployment) |
We needed something that could orchestrate across our entire stack, not just manage server configs. Kestra gave us a single platform for data pipelines, infrastructure operations, and business workflows. Our teams went from writing custom scripts to shipping production workflows in days.
Puppet manages what a node looks like. Kestra orchestrates what happens across systems. Provision infrastructure, run data pipelines, trigger business processes, and coordinate AI workflows in a single DAG. Multi-step workflows with dependencies, retries, error handling, and conditional branching are first-class concepts.
Puppet requires an agent on every managed node and a custom DSL to define configurations. Kestra runs tasks in isolated Docker containers with no agents to install or maintain. Workflows are written in standard YAML that any engineer can read and modify on day one, with any scripting language supported inside tasks.
Puppet agents pull configurations on a fixed interval (default 30 minutes). Kestra reacts to events in real time: webhooks, S3 uploads, Kafka messages, database changes, and API events are first-class YAML triggers. Combine scheduled, event-driven, and manual workflows in one platform.
Find answers to your questions right here, and don't hesitate to Contact Us if you couldn't find what you're looking for.
See how Kestra can orchestrate your infrastructure automation—including Puppet—in declarative YAML workflows.