List of the Top 5 AIOps Tools for Red Hat OpenShift in 2025

Reviews and comparisons of the top AIOps tools with a Red Hat OpenShift integration


Below is a list of AIOps tools that integrates with Red Hat OpenShift. Use the filters above to refine your search for AIOps tools that is compatible with Red Hat OpenShift. The list below displays AIOps tools products that have a native integration with Red Hat OpenShift.
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    New Relic Reviews & Ratings

    New Relic

    New Relic

    Empowering engineers with real-time insights for innovation.
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    Company Website
    Transform your organization with New Relic's AIOps offerings, featuring a sophisticated Incident Management system that delivers a holistic approach to swiftly identify, address, and resolve incidents. Tailored for large-scale enterprises, our integrated data platform consolidates telemetry information from your software ecosystem, providing robust full-stack analysis tools that facilitate rapid issue identification and root cause analysis. With capabilities such as real-time monitoring, automated notifications, and customizable workflows, New Relic empowers teams to optimize their incident response strategies, reduce downtime, and ensure consistent service reliability. Enhance resolution efficiency, foster team collaboration, and elevate customer satisfaction through New Relic's AIOps-enhanced Incident Management features.
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    StormForge Reviews & Ratings

    StormForge

    StormForge

    Maximize efficiency, reduce costs, and boost performance effortlessly.
    StormForge delivers immediate advantages to organizations by optimizing Kubernetes workloads, resulting in cost reductions of 40-60% and enhancements in overall performance and reliability throughout the infrastructure. The Optimize Live solution, designed specifically for vertical rightsizing, operates autonomously and can be finely adjusted while integrating smoothly with the Horizontal Pod Autoscaler (HPA) at a large scale. Optimize Live effectively manages both over-provisioned and under-provisioned workloads by leveraging advanced machine learning algorithms to analyze usage data and recommend the most suitable resource requests and limits. These recommendations can be implemented automatically on a customizable schedule, which takes into account fluctuations in traffic and shifts in application resource needs, guaranteeing that workloads are consistently optimized and alleviating developers from the burdensome task of infrastructure sizing. Consequently, this allows teams to focus more on innovation rather than maintenance, ultimately enhancing productivity and operational efficiency.
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    Sedai Reviews & Ratings

    Sedai

    Sedai

    Automated resource management for seamless, efficient cloud operations.
    Sedai adeptly locates resources, assesses traffic trends, and understands metric performance, enabling continuous management of production environments without the need for manual thresholds or human involvement. Its Discovery engine adopts an agentless methodology to automatically recognize all components within your production settings while efficiently prioritizing monitoring data. Furthermore, all your cloud accounts are consolidated onto a single platform, allowing for a comprehensive view of your cloud resources in one centralized location. You can seamlessly integrate your APM tools, and Sedai will discern and highlight the most critical metrics for you. With the use of machine learning, it automatically establishes thresholds, providing insight into all modifications occurring within your environment. Users are empowered to monitor updates and alterations and dictate how the platform manages resources, while Sedai's Decision engine employs machine learning to analyze vast amounts of data, ultimately streamlining complexities and enhancing operational clarity. This innovative approach not only improves resource management but also fosters a more efficient response to changes in production environments.
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    IBM Cloud Pak for Watson AIOps Reviews & Ratings

    IBM Cloud Pak for Watson AIOps

    IBM

    Transform IT operations with proactive, intelligent AIOps solutions.
    Begin your AIOps adventure and transform your IT operations with IBM Cloud Pak for Watson AIOps. This cutting-edge platform seamlessly incorporates advanced, explainable AI into the ITOps toolchain, empowering you to thoroughly assess, diagnose, and resolve incidents impacting vital workloads. For those accustomed to IBM Netcool Operations Insight or previous IBM IT management solutions, transitioning to IBM Cloud Pak for Watson AIOps marks an evolution in your current capabilities. It consolidates data from various critical sources to identify hidden anomalies, forecast potential problems, and accelerate resolutions. By addressing risks proactively and automating runbooks, workflows see a remarkable enhancement in efficiency. AIOps tools enable real-time correlation of both structured and unstructured data, allowing teams to maintain focus while obtaining valuable insights and recommendations that seamlessly integrate into current operations. Furthermore, the ability to establish policies at the microservice level facilitates effortless automation across diverse application components, significantly boosting overall operational efficiency. This holistic strategy guarantees that your IT operations are not merely reactive but also strategically anticipatory, paving the way for future advancements in your technological landscape. Embracing this innovative approach positions your organization to respond adeptly to the ever-evolving demands of the digital environment.
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    StackState Reviews & Ratings

    StackState

    StackState

    Transform your IT operations with real-time observability solutions.
    StackState’s observability platform, which is centered around topology and relationships, enhances the management of your ever-evolving IT landscape. By consolidating performance metrics from various monitoring solutions, it establishes a cohesive topology. This innovative platform provides the following benefits: 1. An 80% reduction in Mean Time to Repair (MTTR) by pinpointing the underlying issues and notifying the relevant teams with precise information. 2. A 65% decrease in outages through real-time integrated monitoring and improved strategic planning. 3. A threefold increase in the speed of software releases, allowing developers more time to focus on implementation. Discover the advantages for yourself by signing up for a free guided demo today: https://www.stackstate.com/schedule-a-demo, and take the first step toward transforming your IT operations.
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