Best Runbook Automation Platforms for Red Hat OpenShift

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Compare the Top Runbook Automation Platforms that integrate with Red Hat OpenShift as of July 2025

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This a list of Runbook Automation platforms that integrate with Red Hat OpenShift. Use the filters on the left to add additional filters for products that have integrations with Red Hat OpenShift. View the products that work with Red Hat OpenShift in the table below.

What are Runbook Automation Platforms for Red Hat OpenShift?

Runbook automation platforms are designed to automate repetitive and routine IT operations tasks, improving efficiency and reducing human error. These platforms allow businesses to create, manage, and execute workflows (runbooks) that automate system monitoring, incident response, software deployments, patch management, and other critical operations tasks. By integrating with various IT systems, cloud services, and monitoring tools, runbook automation platforms enable IT teams to respond to events and incidents in real-time, following predefined processes to maintain system uptime and compliance. Additionally, they often include features for error handling, logging, and alerting, ensuring that operations are performed smoothly and that issues are addressed proactively. These platforms help businesses achieve faster response times, improve operational consistency, and enhance scalability. Compare and read user reviews of the best Runbook Automation platforms for Red Hat OpenShift currently available using the table below. This list is updated regularly.

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    PagerDuty

    PagerDuty

    PagerDuty

    PagerDuty, Inc. (NYSE:PD) is a leader in digital operations management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. PagerDuty's ecosystem of over 350+ integrations, including Slack, Zoom, ServiceNow, AWS, Microsoft Teams, Salesforce, and more, enable teams to centralize their technology stack, get a holistic view of their operations, and optimize processes within their toolsets.
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    44 Ratings
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  • 2
    Shoreline

    Shoreline

    Shoreline.io

    Shoreline is the Cloud Reliability platform — the only platform that lets DevOps engineers build automations in an afternoon, and fix issues forever. Shoreline reduces on-call complexity by running across clouds, Kubernetes clusters, and VMs allowing operators to manage their entire fleet as if it were a single box. Debugging and repairing issues is easy with advanced tooling for your best SREs, automated runbooks for the broader team, and a platform that makes building automations 30X faster. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud.
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  • 3
    IBM Cloud Pak for Watson AIOps
    Discover how to start your AIOps journey and transform your IT operations with IBM Cloud Pak for Watson AIOps. IBM Cloud Pak® for Watson AIOps is an AIOps platform that deploys advanced, explainable AI across the ITOps toolchain so you can confidently assess, diagnose and resolve incidents across mission-critical workloads. If you’re looking for IBM Netcool® Operations Insight or any previous IBM IT management offerings, IBM Cloud Pak for Watson AIOps is the evolution of your current entitlement. Correlate across all relevant data sources. Detect hidden anomalies, anticipate issues and resolve faster. Proactively avoid risks and automate runbooks for more efficient workflows. Correlate a vast amount of unstructured and structured data in real-time with AIOps tools. Keep teams focused, surfacing insights and recommendations into existing workflows. Build policy at the microservice level and automate across application components.
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