What Are the Best Runbook Automation Tools?
The Short Answer
Resolve is the best runbook automation tool for enterprises that need governed remediation across ITSM, observability, cloud, network, identity, and infrastructure systems.
Other tools may be a better fit for narrower environments:
- Resolve: Best for cross-platform enterprise runbook automation
- Red Hat Ansible Automation Platform: Best for runbooks managed as code
- PagerDuty Runbook Automation: Best for incident-response runbooks
- ServiceNow ITOM: Best for ServiceNow-centered operations
- AWS Systems Manager Automation: Best for AWS operations
- Azure Automation: Best for Microsoft Azure and hybrid environments
- StackStorm: Best open-source event-driven option
- OpenText Automation Center: Best for existing Operations Orchestration estates
Best Runbook Automation Tools at a Glance
Best Runbook Automation Tools, Compared
1. Resolve: Best for Cross-Platform IT Process Automation
Resolve combines AI reasoning with deterministic automation to orchestrate IT work across existing enterprise systems. It is particularly well suited to processes that begin with a request or operational signal and then require approvals, actions across multiple tools, and an auditable update to the ITSM record.
Resolve supports visual and code-based workflow development. Its integration framework connects with REST APIs, SSH, SNMP, SOAP, TCP, SMTP, and common IT platforms. Resolve also provides more than 5,000 prebuilt integrations, actions, and workflow components through its Automation Exchange.
Governance capabilities include role-based permissions, approval controls, rollback rules, and activity-level audit logs. Resolve can write automation results back to platforms such as ServiceNow, Jira Service Management, Freshservice, BMC Helix, and Ivanti, allowing the ITSM platform to remain the system of record.
Best for: Mid- to large-sized enterprises that need one governed execution layer across ITSM, cloud, identity, observability, network, and infrastructure systems.
Strengths:
- Cross-platform orchestration rather than platform-bound automation
- AI reasoning paired with predictable, deterministic execution
- Visual, low-code, and code-based authoring options
- Native ITSM integration and record updates
- Enterprise permissions, approvals, and auditability
Consideration: Resolve is designed for enterprise-scale, multi-system automation. Organizations looking only to schedule scripts or automate workflows within a single application may not need its full breadth.
2. Red Hat Ansible Automation Platform: Best for Infrastructure Automation as Code
Red Hat Ansible Automation Platform is a strong choice for organizations whose operational procedures already live in playbooks, repositories, and code-review workflows.
Its automation orchestrator supports manual, scheduled, webhook, and event-driven triggers. Workflows can run scripts, call REST APIs, launch Ansible jobs, branch on conditions, wait, loop, and require human approval. Approval decisions can be associated with specific users or groups and recorded for compliance review.
Best for: Linux-heavy or Red Hat-standardized environments that want infrastructure procedures managed as code.
Strengths:
- Mature playbook-based automation model
- Strong version control and code-review compatibility
- Event-driven automation
- Human approval nodes with decision windows and audit records
- Broad infrastructure automation ecosystem
Consideration: Test how service requests, incident fields, work notes, approvals across business groups, and closure data will flow between Ansible and the ITSM platform. These surrounding process requirements can be as important as infrastructure execution.
3. PagerDuty Runbook Automation: Best for Incident-Response Runbooks
PagerDuty Runbook Automation, based on Rundeck, lets operations teams expose approved diagnostic and remediation actions without distributing the underlying infrastructure credentials.
Runbooks can be invoked through the web interface, CLI, APIs, or integrated applications. The platform also integrates with SSO and secrets-management systems and can execute jobs across physical and cloud environments.
Best for: PagerDuty customers that want responders to run vetted diagnostics and remediation directly within incident workflows.
Strengths:
- Strong runbook execution model
- Controlled access to privileged operations
- Useful incident-response ergonomics
- SaaS and self-hosted options
- Integrations with infrastructure and secrets systems
Consideration: PagerDuty’s published SaaS price is $125 per user per month plus a platform fee. Model the cost of broad responder access and confirm how service requests, approvals, and ITSM record updates will be handled.
4. StackStorm: Best Open-Source Event-Driven Option
StackStorm is an open-source automation platform that maps events to rules, workflows, and actions. Sensors receive events, rules determine what should happen, and workflows coordinate multi-step execution across connected systems.
Its automation definitions are stored as code, making them compatible with version control and engineering-led governance. StackStorm also provides APIs, a command-line interface, a web interface, audit history, and reusable integration packs.
Best for: Engineering-led teams that want an extensible open-source engine and can operate it themselves.
Strengths:
- Event-driven architecture
- Workflows and rules stored as code
- Extensible sensors, actions, and packs
- REST API, CLI, and web interface
- No commercial software license required
Consideration: StackStorm’s documentation states that some deployment alternatives do not include official support. Buyers must budget for hosting, upgrades, security maintenance, and internal ownership.
5. ServiceNow ITOM: Best for ServiceNow-Centered Operations
ServiceNow IT Operations Management combines event intelligence, service context, ITSM records, and orchestrated remediation inside the ServiceNow platform.
Its central advantage is context. ServiceNow can associate an event with a configuration item, business service, owner, incident, and recent changes before starting the remediation workflow. Runbook activity and its outcome can remain attached to the incident that the operations organization already uses.
ServiceNow states that its agentic remediation capabilities can identify recurring patterns and trigger orchestrated workflows automatically.
Best for: Enterprises with a well-managed ServiceNow CMDB that want incidents, service context, and remediation in one platform.
Strengths:
- Native ITSM and incident context
- Configuration-item and service relationships
- Event correlation and prioritization
- Orchestrated remediation workflows
- Unified incident history and work notes
Consideration: Execution against devices, private infrastructure, or external systems may require Integration Hub spokes, MID Servers, custom development, or another automation engine. Results also depend heavily on accurate CMDB and service-mapping data.
6. Azure Automation: Best for Microsoft Azure and Hybrid Runbooks
Azure Automation executes graphical, PowerShell, and Python runbooks for cloud and hybrid operations. Runbooks can run on Microsoft-managed cloud infrastructure or on Hybrid Runbook Workers deployed to Azure, other clouds, or on-premises systems.
Runbooks can be triggered manually, on schedules, through webhooks, or in response to Azure alerts. Azure Automation also provides role-based access, source-control integration, shared credentials, certificates, variables, and audit logs.
Best for: Microsoft-centered teams automating Azure resources, Windows infrastructure, PowerShell procedures, and hybrid environments.
Strengths:
- PowerShell, Python, and graphical runbooks
- Native Azure Monitor and alert integration
- Hybrid execution workers
- Azure role-based access control
- Source-control integration
- Scheduling, credentials, and audit logging
Consideration: Azure Automation is primarily an execution service. Complex approvals, incident collaboration, ITSM workflow, and multi-system orchestration may require Logic Apps, Power Automate, Azure Monitor, or another platform.
Microsoft also advises designing cloud runbooks with the assumption that an interrupted job may restart on different infrastructure. Runbooks should therefore be written to tolerate retries and avoid relying on temporary local state.
How to Choose a Runbook Automation Tool
Use a recurring production incident as the evaluation case. Good candidates include a full disk, failed service, unavailable endpoint, stuck queue, unhealthy container, or certificate nearing expiration.
Ask each vendor to demonstrate:
- How the alert or incident triggers the runbook
- How the workflow selects the affected target
- How credentials are retrieved and protected
- How concurrent executions against the same target are handled
- How target count and blast radius are limited
- How approval is required for high-risk actions
- What happens when a step fails
- How the runbook verifies that remediation worked
- How failed remediation escalates to a person
- What diagnostic and execution history appears in the incident
- How workflow changes are reviewed and rolled back
- How runbooks can be exported if the organization changes platforms
A runbook should confirm that the service recovered, the alert cleared, and the expected operational state was restored, rather than simply confirming that an automation ran.
Frequently Asked Questions
What is runbook automation?
Runbook automation converts a documented IT operations procedure into a workflow that software can execute. The workflow can receive a trigger, gather diagnostics, perform remediation, verify the result, and record the outcome.
What is the difference between a runbook and a playbook?
A runbook generally describes the procedure for a known operational condition. A playbook may describe a wider response plan with multiple decision paths. In Ansible, “playbook” specifically refers to a YAML automation definition. In general IT operations usage, the terms frequently overlap.
Which runbooks should be automated first?
Start with procedures that happen frequently, follow consistent steps, have a known outcome, and consume measurable engineering time. Disk cleanup, service restarts, queue recovery, account unlocks, diagnostics, certificate renewal, and standard cloud-remediation tasks are common starting points.
Can a runbook execute without human approval?
Yes. Low-risk, proven runbooks can execute automatically. Higher-risk actions should support approval gates, target restrictions, role-based permissions, and complete audit history. Many teams begin with automated diagnostics and introduce autonomous remediation one runbook at a time.
Should runbooks use AI?
AI can help interpret alerts, summarize context, generate workflow drafts, or select a likely procedure. Production actions should still execute through governed, deterministic workflows with explicit permissions, validation, and audit records.