Best High Availability Cluster Solutions for IBM Cloud
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Compare the Top High Availability Cluster Solutions that integrate with IBM Cloud as of October 2025
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This a list of High Availability Cluster solutions that integrate with IBM Cloud. Use the filters on the left to add additional filters for products that have integrations with IBM Cloud. View the products that work with IBM Cloud in the table below.
What are High Availability Cluster Solutions for IBM Cloud?
High availability cluster solutions are systems designed to ensure continuous operation of applications and services by minimizing downtime through redundancy and failover mechanisms. These solutions link multiple servers or nodes to work together, so if one node fails, others automatically take over without service interruption. They provide monitoring, load balancing, and automatic recovery features to maintain system reliability and performance. High availability clusters are critical for mission-critical applications requiring near-zero downtime, such as databases, web services, and financial systems. By reducing single points of failure, they help organizations meet stringent uptime and disaster recovery requirements. Compare and read user reviews of the best High Availability Cluster solutions for IBM Cloud currently available using the table below. This list is updated regularly.
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Rocket iCluster
Rocket Software
Rocket iCluster high availability/disaster recovery (HA/DR) solutions ensure uninterrupted operation for your IBM i applications, providing continuous access by monitoring, identifying, and self-correcting replication problems. iCluster’s multiple-cluster administration console monitors events in real-time on the classic green screen and the modern web UI. Rocket iCluster reduces downtime related to unexpected IBM i system interruptions with real-time, fault-tolerant, object-level replication. In the event of an outage, you can bring a “warm” mirror of a clustered IBM i system into service within minutes. iCluster disaster recovery software ensures a high-availability environment by giving business applications concurrent access to both master and replicated data. This setup allows you to offload critical business tasks such as running reports and queries as well as ETL, EDI, and web tasks from your secondary system without affecting primary system performance. -
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IBM Spectrum LSF Suites is a workload management platform and job scheduler for distributed high-performance computing (HPC). Terraform-based automation to provision and configure resources for an IBM Spectrum LSF-based cluster on IBM Cloud is available. Increase user productivity and hardware use while reducing system management costs with our integrated solution for mission-critical HPC environments. The heterogeneous, highly scalable, and available architecture provides support for traditional high-performance computing and high-throughput workloads. It also works for big data, cognitive, GPU machine learning, and containerized workloads. With dynamic HPC cloud support, IBM Spectrum LSF Suites enables organizations to intelligently use cloud resources based on workload demand, with support for all major cloud providers. Take advantage of advanced workload management, with policy-driven scheduling, including GPU scheduling and dynamic hybrid cloud, to add capacity on demand.
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Red Hat Advanced Cluster Management for Kubernetes controls clusters and applications from a single console, with built-in security policies. Extend the value of Red Hat OpenShift by deploying apps, managing multiple clusters, and enforcing policies across multiple clusters at scale. Red Hat’s solution ensures compliance, monitors usage and maintains consistency. Red Hat Advanced Cluster Management for Kubernetes is included with Red Hat OpenShift Platform Plus, a complete set of powerful, optimized tools to secure, protect, and manage your apps. Run your operations from anywhere that Red Hat OpenShift runs, and manage any Kubernetes cluster in your fleet. Speed up application development pipelines with self-service provisioning. Deploy legacy and cloud-native applications quickly across distributed clusters. Free up IT departments with self-service cluster deployment that automatically delivers applications.
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