PagerDuty Process Automation (formerly Rundeck) makes it easy to give ops teams click-to-run access to scripts and Ansible playbooks. But when incidents demand multi-step remediation across cloud APIs, Kubernetes, and ITSM—Kestra's event-driven orchestration engine handles it all in declarative YAML, with approvals, retries, and full audit trails built in.
Define every incident workflow in YAML—from alert ingestion to automated diagnosis, human-in-the-loop approval, remediation, and ITSM ticket closure. Kestra triggers on webhooks, PagerDuty alerts, Kafka events, or schedules. Every execution is logged, versioned, and auditable.
PagerDuty Process Automation excels at giving operators self-service access to scripts and Ansible playbooks via a job catalog. But multi-step logic, conditional branching, data passing between steps, and complex event-driven triggers require workarounds. Version control is available only on Enterprise tier.
Kestra starts in minutes with Docker Compose. PagerDuty Process Automation (Rundeck) requires Java, database configuration, and node setup before running a single job.
curl -o docker-compose.yml \https://raw.githubusercontent.com/kestra-io/kestra/develop/docker-compose.ymldocker compose up
# Open localhost:8080# Pick an Incident Automation Blueprint, run it. Done.Download the Docker Compose file, run it, open the UI, and pick an incident automation Blueprint. Your first workflow includes a webhook trigger, automatic diagnosis step, approval gate, and ITSM ticket update—all in readable YAML.
# PagerDuty Process Automation (Rundeck)docker run -d -p 4440:4440 rundeck/rundeck:latest# Then configure: DB backend, node executor,# ACL policies, SSH credentials, project structure...# Version control (Git) requires Enterprise tierPagerDuty Process Automation (formerly Rundeck) requires Java, a relational database, and node/agent configuration before running a single job. The Enterprise tier adds version control—meaning basic GitOps requires an upgrade.
YAML workflows read like documentation. The AI Copilot writes them for you. Every workflow goes through Git and CI/CD—no hidden state in a UI. Approvals, retries, PagerDuty alert triggers, and ITSM integration are first-class YAML constructs.
PagerDuty Process Automation job definitions live in the UI by default. Multi-step flows require chaining jobs or writing inline scripts. Complex conditional logic is awkward, data passing between steps is limited, and version control requires the Enterprise tier.
One platform for alert-triggered workflows, multi-step remediation, human approval gates, and ITSM ticket closure. Works on-prem, in Kubernetes, and in air-gapped environments.
PagerDuty Process Automation provides a self-service runbook catalog with SSH-based execution and RBAC. Excellent for click-to-run ops tasks—but limited when incident workflows need conditional logic, event-driven triggers, or data pipelines between steps.
| | | |
|---|---|---|
| Primary use case | Full incident lifecycle orchestration (detect, diagnose, remediate, close) | Self-service runbook catalog and job automation |
| Workflow definition | Declarative YAML (code-first, Git-native) | UI-based job templates (Git requires Enterprise tier) |
| Event-driven triggers | PagerDuty alerts, webhooks, Kafka, schedules, file detection, flow triggers | Webhooks and schedules (limited queue-based triggers) |
| Multi-step orchestration | Conditions, loops, parallelism, data passing, sub-flows | Job chaining (limited conditionals and data passing) |
| Approval gates | Inline Pause tasks with dynamic forms and resume logic | Manual job inputs (basic, no dynamic forms) |
| IaC integration | Native Terraform, Ansible, PowerShell, Python, Pulumi | Ansible as standalone job step (no native Terraform/IaC) |
| Observability | Full execution logs, artifact storage, Gantt view, clear error messages | Basic job output logs (limited structured observability) |
| Air-gapped deployment | Fully supported (on-prem, Kubernetes) | Partial (Runbook Automation Cloud requires connectivity) |
| Version control | Native (Git, CI/CD, Terraform provider) | Enterprise tier only |
| Multi-tenancy | Native namespace isolation with per-namespace RBAC | Project-based RBAC (no namespace isolation) |
| Licensing model | Flat instance + worker-based pricing | Per-host pricing—costs compound as infrastructure scales |
We replaced Rundeck after it dropped jobs in HA mode and gave us no visibility. Kestra handles our entire incident automation pipeline—from PagerDuty alert to ITSM closure—with full audit trails and approval gates.
Kestra triggers on PagerDuty alerts, Kafka events, webhooks, and file detection. Automated diagnosis, conditional remediation, human approval gates, and ITSM ticket closure all happen in a single declarative workflow—no handoffs between tools.
Every workflow is YAML you can commit, review in a pull request, and deploy through CI/CD. When Mercy Health's team needed to update their incident response playbook, it was a PR—not a UI change on a live production system.
Deploy Kestra on Kubernetes, Docker, or bare metal. Run remote workers close to targets in hybrid and OT environments. Air-gap deployments supported for regulated industries—the Austrian Ministry of Defense runs Kestra fully disconnected from the internet.
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 replaces runbook tools with end-to-end incident automation—from alert to resolution.