Alternatives to IBM Tivoli System Automation

Compare IBM Tivoli System Automation alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to IBM Tivoli System Automation in 2026. Compare features, ratings, user reviews, pricing, and more from IBM Tivoli System Automation competitors and alternatives in order to make an informed decision for your business.

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    IBM Tivoli Monitoring
    IBM Tivoli Monitoring products monitor the performance and availability of distributed operating systems and applications. These products are based on a set of common service components, referred to collectively as Tivoli Management Services. Tivoli Management Services components provide security, data transfer and storage, notification mechanisms, user interface presentation, and communication services in an agent-server-client architecture (Figure 1). These services are shared by a number of other products, including IBM Tivoli XE mainframe monitoring products and IBM Tivoli Composite Application Manager products, as well as other IBM Tivoli Monitoring products such as Tivoli Monitoring for Applications, Tivoli Monitoring for Cluster Managers, Tivoli Monitoring for Databases, Tivoli Monitoring for Energy Management, Tivoli Monitoring for Messaging and Collaboration, Tivoli Monitoring for Messaging and Collaboration, and Tivoli Monitoring for Virtual Environments.
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    BMC Compuware Topaz Connect
    BMC Compuware Topaz Connect bridges the IT systems that manage mainframe applications with the modern tooling used to manage non-mainframe applications, eliminating siloes that can disrupt innovation. By connecting the mainframe to disparate platforms in the enterprise, companies can track processes for mainframe applications in the same manner as they do for other hardware and software platforms. Eliminates siloes created by lack of integrated tooling, enabling faster delivery of business value. Maximizes enterprise IT automation by reducing disparate manual processes. Leverages existing IT service management (ITSM) investments. Includes the mainframe in DevOps processes. Enhances process efficiencies. Enables mainframe-inexperienced programmers to manage mainframe code. Connect BMC Compuware ISPW and ITSM solutions such as BMC Helix and Tivoli. Communicate specifics of an ITSM code change to BMC Compuware ISPW.
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    Axibase Enterprise Reporter (AER)
    Axibase Enterprise Reporter (AER) is a unified IT reporting solution for performance monitoring and capacity planning based on linked data and self-service concepts. The linked data architecture implemented in AER allows it to deliver reporting capabilities on top of underlying monitoring systems simultaneously, without copying the data. AER is pre-integrated with IBM Tivoli, Microsoft System Center Operations Manager, HP Openview and Performance Manager, BMC ProactiveNet, VMWare vCenter, Oracle Enterprise Manager, SAP HANA, NetApp OnCommand, WhatsUp, Dynatrace, Entuity and other solutions. In addition, AER provides the universal adapter for integration with any monitoring system or a custom data source that supports JDBC connectivity. Leveraging AER as a single point of access to IT infrastructure metrics, systems administrators and application support teams are able to execute and automate performance monitoring and capacity planning tasks with minimal effort.
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    DxEnterprise
    DxEnterprise is multi-platform Smart Availability software built on patented technology for Windows Server, Linux and Docker. It can be used to manage a variety of workloads at the instance level—as well as Docker containers. DxEnterprise (DxE) is particularly optimized for native or containerized Microsoft SQL Server deployments on any platform. It is also adept at management of Oracle on Windows. In addition to Windows file shares and services, DxE supports any Docker container on Windows or Linux, including Oracle, MySQL, PostgreSQL, MariaDB, MongoDB, and other relational database management systems. It also supports cloud-native SQL Server availability groups (AGs) in containers, including support for Kubernetes clusters, across mixed environments and any type of infrastructure. DxE integrates seamlessly with Azure shared disks, enabling optimal high availability for clustered SQL Server instances in the cloud.
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    iSecurity SIEM / DAM Support
    iSecurity helps companies protect valuable information assets against insider threats, unauthorized external access and malicious, or inadvertent, changes to field-level data in business-critical applications by sending real-time alerts to specific recipients. Real-time Syslog alerts sent from all iSecurity modules are fully integrated with leading SIEM/DAM products such as IBM’s Tivoli, McAfee, RSA enVision, Q1Labs, GFI Solutions and have been tested with products such as ArcSight, HPOpenView, CA UniCenter and others. iSecurity supports Imperva SecureSphere DAM. Integration with SIEM products for forensic analysis of security-related events is an increasingly important requirement at companies worldwide; indeed, Raz-Lee’s iSecurity suite has supported Syslog-to-SIEM for numerous years. Proven integration with all SIEM products. Field-mode support for the 2 major standards – LEEF (IBM QRadar) and CEF (ArcSight). These standards are supported in many other SIEM products as well.
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    AWS ParallelCluster
    AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple instance types and job submission queues. Users can interact with ParallelCluster through a graphical user interface, command-line interface, or API, enabling flexible cluster configuration and management. The tool integrates with job schedulers like AWS Batch and Slurm, facilitating seamless migration of existing HPC workloads to the cloud with minimal modifications. AWS ParallelCluster is available at no additional charge; users only pay for the AWS resources consumed by their applications. With AWS ParallelCluster, you can use a simple text file to model, provision, and dynamically scale the resources needed for your applications in an automated and secure manner.
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    Apache Helix

    Apache Helix

    Apache Software Foundation

    Apache Helix is a generic cluster management framework used for the automatic management of partitioned, replicated and distributed resources hosted on a cluster of nodes. Helix automates reassignment of resources in the face of node failure and recovery, cluster expansion, and reconfiguration. To understand Helix, you first need to understand cluster management. A distributed system typically runs on multiple nodes for the following reasons: scalability, fault tolerance, load balancing. Each node performs one or more of the primary functions of the cluster, such as storing and serving data, producing and consuming data streams, and so on. Once configured for your system, Helix acts as the global brain for the system. It is designed to make decisions that cannot be made in isolation. While it is possible to integrate these functions into the distributed system, it complicates the code.
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    Slurm
    Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), is a free, open-source job scheduler and cluster management system for Linux and Unix-like kernels. It's designed to manage compute jobs on high performance computing (HPC) clusters and high throughput computing (HTC) environments, and is used by many of the world's supercomputers and computer clusters.
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    IBM PowerHA SystemMirror
    IBM PowerHA SystemMirror provides a comprehensive high availability (HA) solution that ensures near-continuous application uptime with advanced failure detection, failover, and recovery features. It offers a simplified, integrated configuration that addresses storage and HA needs while allowing users to manage their clusters through a single pane of glass. Available for IBM AIX and IBM i operating systems, PowerHA supports multisite disaster recovery configurations and automation to reduce administrative effort. It incorporates IBM SAN storage systems like DS8000 and Flash Systems into HA clusters for robust data protection. Licensed per processor core with maintenance included for the first year, PowerHA delivers economic value for on-premises deployments. The technology helps enterprises eliminate planned and unplanned outages while monitoring system health proactively.
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    Rocks

    Rocks

    Rocks

    Rocks is an open source Linux cluster distribution that enables end users to easily build computational clusters, grid endpoints, and visualization tiled-display walls. Since May 2000, the Rocks group has been addressing the difficulties of deploying manageable clusters with the goal of making clusters easy to deploy, manage, upgrade, and scale. The latest update, Rocks 7.0, codenamed Manzanita, is a 64-bit-only release based upon CentOS 7.4, with all updates applied as of December 1, 2017. Rocks include many tools, such as Message Passing Interface (MPI), which are integral components that make a group of computers into a cluster. Installations can be customized with additional software packages at install time by using special user-supplied CDs. The Spectre/Meltdown security vulnerabilities affect (nearly) all hardware and are addressed by OS updates.
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    SafeKit

    SafeKit

    Eviden

    Evidian SafeKit is a high-availability software solution designed to ensure the redundancy of critical applications on Windows and Linux platforms. It provides an all-in-one approach by integrating load balancing, synchronous real-time file replication, automatic application failover, and automated failback after a server failure, all within a single software product. This eliminates the need for additional hardware components such as network load balancers or shared disks, as well as the necessity for enterprise editions of operating systems and databases. SafeKit's software clustering facilitates the creation of mirror clusters with real-time data replication and failover, farm clusters with load balancing and failover, and advanced architectures like farm+mirror clusters and active-active clusters. Its shared-nothing architecture simplifies deployment, even in remote sites, by avoiding the complexities associated with shared disk clusters.
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    OpenSVC

    OpenSVC

    OpenSVC

    OpenSVC is an open source software solution designed to enhance IT productivity by providing tools for service mobility, clustering, container orchestration, configuration management, and comprehensive infrastructure auditing. The platform comprises two main components. The agent functions as a supervisor, clusterware, container orchestrator, and configuration manager, facilitating the deployment, management, and scaling of services across diverse environments, including on-premises, virtual machines, and cloud instances. It supports various operating systems such as Unix, Linux, BSD, macOS, and Windows, and offers features like cluster DNS, backend networks, ingress gateways, and scalers. The collector aggregates data reported by agents and fetches information from the site's infrastructure, including networks, SANs, storage arrays, backup servers, and asset managers. It serves as a reliable, flexible, and secure data store.
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    K8Studio

    K8Studio

    K8Studio

    Welcome to K8 Studio, your ultimate cross-platform client IDE for effortless Kubernetes cluster management. Seamlessly deploy to popular platforms such as EKS, GKE, AKS, or your dedicated bare metal setup. Experience the power of connecting to your cluster with an intuitive interface, providing a visual representation of nodes, pods, services, and more. Gain instant access to logs, detailed element descriptions, and a bash terminal, all with a simple click. Elevate your Kubernetes experience with K8Studio's user-friendly features. The grid view allows for a comprehensive tabular display of all Kubernetes objects. The left bar enables the selection of specific object types, and this view is entirely interactive and updated in real time. Users can seamlessly search and filter objects by namespace, and rearrange columns. Organizes workloads, services, ingresses, and volumes by namespace and instance. Visualize object connections for a rapid pod count and status check.
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    Spectro Cloud Palette
    Spectro Cloud’s Palette is a comprehensive Kubernetes management platform designed to simplify and unify the deployment, operation, and scaling of Kubernetes clusters across diverse environments—from edge to cloud to data center. It provides full-stack, declarative orchestration, enabling users to blueprint cluster configurations with consistency and flexibility. The platform supports multi-cluster, multi-distro Kubernetes environments, delivering lifecycle management, granular access controls, cost visibility, and optimization. Palette integrates seamlessly with cloud providers like AWS, Azure, Google Cloud, and popular Kubernetes services such as EKS, OpenShift, and Rancher. With robust security features including FIPS and FedRAMP compliance, Palette addresses needs of government and regulated industries. It offers flexible deployment options—self-hosted, SaaS, or airgapped—ensuring organizations can choose the best fit for their infrastructure and security requirements.
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    Appvia Wayfinder
    Appvia Wayfinder is a trusted infrastructure operations platform designed to increase developer velocity. It enables platform teams to operate at scale by providing self-service guardrails for standardisation. Supporting integration with AWS, Azure, and more, Wayfinder offers self-service provisioning of environments and cloud resources using a catalogue of manageable Terraform modules. Its built-in principles of isolation and least privilege ensure secure default configurations, while granting fine-grained control to platform teams over underlying CRDs. It offers centralized control and visibility over clusters, apps, and cloud resources across various clouds. Additionally, Wayfinder's cloud automation capability supports safe deployments and upgrades through the use of ephemeral clusters and namespaces. Choose Appvia Wayfinder for streamlined, secure, and efficient infrastructure management.
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    Starting Price: $0.035 US per vcpu per hour
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    Tungsten Clustering
    Tungsten Clustering is the only complete, fully-integrated, fully-tested MySQL HA, DR and geo-clustering solution running on-premises and in the cloud combined with industry-best and fastest, 24/7 support for business-critical MySQL, MariaDB, & Percona Server applications. It allows enterprises running business-critical MySQL database applications to cost-effectively achieve continuous global operations with commercial-grade high availability (HA), geographically redundant disaster recovery (DR) and geographically distributed multi-master. Tungsten Clustering includes four core components for data replication, data connectivity, cluster management and cluster monitoring. Together, they handle all of the messaging and control of your Tungsten MySQL clusters in a seamlessly-orchestrated fashion.
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    Azure CycleCloud
    Create, manage, operate, and optimize HPC and big compute clusters of any scale. Deploy full clusters and other resources, including scheduler, compute VMs, storage, networking, and cache. Customize and optimize clusters through advanced policy and governance features, including cost controls, Active Directory integration, monitoring, and reporting. Use your current job scheduler and applications without modification. Give admins full control over which users can run jobs, as well as where and at what cost. Take advantage of built-in autoscaling and battle-tested reference architectures for a wide range of HPC workloads and industries. CycleCloud supports any job scheduler or software stack—from proprietary in-house to open-source, third-party, and commercial applications. Your resource demands evolve over time, and your cluster should, too. With scheduler-aware autoscaling, you can fit your resources to your workload.
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    Google Cloud Dataproc
    Dataproc makes open source data and analytics processing fast, easy, and more secure in the cloud. Build custom OSS clusters on custom machines faster. Whether you need extra memory for Presto or GPUs for Apache Spark machine learning, Dataproc can help accelerate your data and analytics processing by spinning up a purpose-built cluster in 90 seconds. Easy and affordable cluster management. With autoscaling, idle cluster deletion, per-second pricing, and more, Dataproc can help reduce the total cost of ownership of OSS so you can focus your time and resources elsewhere. Security built in by default. Encryption by default helps ensure no piece of data is unprotected. With JobsAPI and Component Gateway, you can define permissions for Cloud IAM clusters, without having to set up networking or gateway nodes.
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    SUSE Rancher Prime
    SUSE Rancher Prime addresses the needs of DevOps teams deploying applications with Kubernetes and IT operations delivering enterprise-critical services. SUSE Rancher Prime supports any CNCF-certified Kubernetes distribution. For on-premises workloads, we offer the RKE. We support all the public cloud distributions, including EKS, AKS, and GKE. At the edge, we offer K3s. SUSE Rancher Prime provides simple, consistent cluster operations, including provisioning, version management, visibility and diagnostics, monitoring and alerting, and centralized audit. SUSE Rancher Prime lets you automate processes and applies a consistent set of user access and security policies for all your clusters, no matter where they’re running. SUSE Rancher Prime provides a rich catalogue of services for building, deploying, and scaling containerized applications, including app packaging, CI/CD, logging, monitoring, and service mesh.
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    NVIDIA Base Command Manager
    NVIDIA Base Command Manager offers fast deployment and end-to-end management for heterogeneous AI and high-performance computing clusters at the edge, in the data center, and in multi- and hybrid-cloud environments. It automates the provisioning and administration of clusters ranging in size from a couple of nodes to hundreds of thousands, supports NVIDIA GPU-accelerated and other systems, and enables orchestration with Kubernetes. The platform integrates with Kubernetes for workload orchestration and offers tools for infrastructure monitoring, workload management, and resource allocation. Base Command Manager is optimized for accelerated computing environments, making it suitable for diverse HPC and AI workloads. It is available with NVIDIA DGX systems and as part of the NVIDIA AI Enterprise software suite. High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications.
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    Red Hat Advanced Cluster Management
    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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    HPE Performance Cluster Manager

    HPE Performance Cluster Manager

    Hewlett Packard Enterprise

    HPE Performance Cluster Manager (HPCM) delivers an integrated system management solution for Linux®-based high performance computing (HPC) clusters. HPE Performance Cluster Manager provides complete provisioning, management, and monitoring for clusters scaling up to Exascale sized supercomputers. The software enables fast system setup from bare-metal, comprehensive hardware monitoring and management, image management, software updates, power management, and cluster health management. Additionally, it makes scaling HPC clusters easier and efficient while providing integration with a plethora of 3rd party tools for running and managing workloads. HPE Performance Cluster Manager reduces the time and resources spent administering HPC systems - lowering total cost of ownership, increasing productivity and providing a better return on hardware investments.
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    Azure Red Hat OpenShift
    Azure Red Hat OpenShift provides highly available, fully managed OpenShift clusters on demand, monitored and operated jointly by Microsoft and Red Hat. Kubernetes is at the core of Red Hat OpenShift. OpenShift brings added-value features to complement Kubernetes, making it a turnkey container platform as a service (PaaS) with a significantly improved developer and operator experience. Highly available, fully managed public and private clusters, automated operations, and over-the-air platform upgrades. Take advantage of the enhanced user interface for application topology and builds in the web console to build, deploy, configure, and visualize containerized applications and cluster resources more easily.
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    Corosync Cluster Engine
    The Corosync Cluster Engine is a group communication system with additional features for implementing high availability within applications. The project provides four C application programming interface features. Closed process group communication model with extended virtual synchrony guarantees for creating replicated state machines; a simple availability manager that restarts the application process when it has failed; a configuration and statistics in-memory database that provides the ability to set, retrieve, and receive change notifications of information; and a quorum system that notifies applications when a quorum is achieved or lost. Our project is used as a high-availability framework by projects such as Pacemaker and Asterisk. We are always looking for developers or users interested in clustering or participating in our project.
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    Tencent Cloud Load Balancer
    One CLB cluster consists of 4 physical servers, offering an availability of up to 99.95%. In the extreme case where only one CLB instance is available, it can still support over 30 million concurrent connections. The cluster system will quickly remove faulty instances and keep healthy instances to ensure that the backend server continues to operate properly. The CLB cluster scales the service capabilities of the application system elastically according to the business load, and automatically creates and releases CVM instances through the dynamic scaling group of Auto Scaling. These features, in conjunction with a dynamic monitoring system and a billing system that is accurate to the second, eliminate the need to manually intervene or estimate resource requirements, helping you efficiently allocate computing resources and prevent resource waste.
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    Qlustar

    Qlustar

    Qlustar

    The ultimate full-stack solution for setting up, managing, and scaling clusters with ease, control, and performance. Qlustar empowers your HPC, AI, and storage environments with unmatched simplicity and robust capabilities. From bare-metal installation with the Qlustar installer to seamless cluster operations, Qlustar covers it all. Set up and manage your clusters with unmatched simplicity and efficiency. Designed to grow with your needs, handling even the most complex workloads effortlessly. Optimized for speed, reliability, and resource efficiency in demanding environments. Upgrade your OS or manage security patches without the need for reinstallations. Regular and reliable updates keep your clusters safe from vulnerabilities. Qlustar optimizes your computing power, delivering peak efficiency for high-performance computing environments. Our solution offers robust workload management, built-in high availability, and an intuitive interface for streamlined operations.
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    TrinityX

    TrinityX

    Cluster Vision

    TrinityX is an open source cluster management system developed by ClusterVision, designed to provide 24/7 oversight for High-Performance Computing (HPC) and Artificial Intelligence (AI) environments. It offers a dependable, SLA-compliant support system, allowing users to focus entirely on their research while managing complex technologies such as Linux, SLURM, CUDA, InfiniBand, Lustre, and Open OnDemand. TrinityX streamlines cluster deployment through an intuitive interface, guiding users step-by-step to configure clusters for diverse uses like container orchestration, traditional HPC, and InfiniBand/RDMA architectures. Leveraging the BitTorrent protocol, enables rapid deployment of AI/HPC nodes, accommodating setups in minutes. The platform provides a comprehensive dashboard offering real-time insights into cluster metrics, resource utilization, and workload distribution, facilitating the identification of bottlenecks and optimization of resource allocation.
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    Windows Server Failover Clustering
    Failover Clustering in Windows Server (and Azure Local) enables a group of independent servers to work together to improve availability and scalability for clustered roles (formerly known as clustered applications and services). These nodes are interconnected via hardware and software, and if one node fails, another assumes its roles through an automated failover process. Clustered roles are actively monitored and, if they stop functioning, are restarted or migrated to maintain service continuity. The feature also supports Cluster Shared Volumes (CSVs), which provide a unified, distributed namespace and consistent shared storage access across nodes, reducing service disruptions. Typical uses include high‑availability file shares, SQL Server instances, and Hyper‑V virtual machines. Failover Clustering is supported on Windows Server 2016, 2019, 2022, and 2025, and in Azure Local environments.
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    Pipeshift

    Pipeshift

    Pipeshift

    Pipeshift is a modular orchestration platform designed to facilitate the building, deployment, and scaling of open source AI components, including embeddings, vector databases, large language models, vision models, and audio models, across any cloud environment or on-premises infrastructure. The platform offers end-to-end orchestration, ensuring seamless integration and management of AI workloads, and is 100% cloud-agnostic, providing flexibility in deployment. With enterprise-grade security, Pipeshift addresses the needs of DevOps and MLOps teams aiming to establish production pipelines in-house, moving beyond experimental API providers that may lack privacy considerations. Key features include an enterprise MLOps console for managing various AI workloads such as fine-tuning, distillation, and deployment; multi-cloud orchestration with built-in auto-scalers, load balancers, and schedulers for AI models; and Kubernetes cluster management.
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    ClusterVisor

    ClusterVisor

    Advanced Clustering

    ClusterVisor is an HPC cluster management system that provides comprehensive tools for deploying, provisioning, managing, monitoring, and maintaining high-performance computing clusters throughout their lifecycle. It offers flexible installation options, including deployment via an appliance, which decouples cluster management from the head node, enhancing system resilience. The platform includes LogVisor AI, an integrated log file analysis tool that utilizes AI to classify logs by severity, enabling the creation of actionable alerts. ClusterVisor facilitates node configuration and management with a suite of tools, supports user and group account management, and features customizable dashboards for visualizing cluster-wide information and comparing multiple nodes or devices. It provides disaster recovery capabilities by storing system images for node reinstallation, offers an intuitive web-based rack diagramming tool, and enables comprehensive statistics and monitoring.
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    Warewulf

    Warewulf

    Warewulf

    Warewulf is a cluster management and provisioning system that has pioneered stateless node management for over two decades. It enables the provisioning of containers directly onto bare metal hardware at massive scales, ranging from tens to tens of thousands of compute systems while maintaining simplicity and flexibility. The platform is extensible, allowing users to modify default functionalities and node images to suit various clustering use cases. Warewulf supports stateless provisioning with SELinux, per-node asset key-based provisioning, and access controls, ensuring secure deployments. Its minimal system requirements and ease of optimization, customization, and integration make it accessible to diverse industries. Supported by OpenHPC and contributors worldwide, Warewulf stands as a successful HPC cluster platform utilized across various sectors. Minimal system requirements, easy to get started, and simple to optimize, customize, and integrate.
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    K3s

    K3s

    K3s

    K3s is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Both ARM64 and ARMv7 are supported with binaries and multiarch images available for both. K3s works great from something as small as a Raspberry Pi to an AWS a1.4xlarge 32GiB server. Lightweight storage backend based on sqlite3 as the default storage mechanism. etcd3, MySQL, Postgres also still available. Secure by default with reasonable defaults for lightweight environments. Simple but powerful “batteries-included” features have been added, such as: a local storage provider, a service load balancer, a Helm controller, and the Traefik ingress controller. Operation of all Kubernetes control plane components is encapsulated in a single binary and process. This allows K3s to automate and manage complex cluster operations like distributing certificates.
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    Oracle Container Engine for Kubernetes
    Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.
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    Loft

    Loft

    Loft Labs

    Most Kubernetes platforms let you spin up and manage Kubernetes clusters. Loft doesn't. Loft is an advanced control plane that runs on top of your existing Kubernetes clusters to add multi-tenancy and self-service capabilities to these clusters to get the full value out of Kubernetes beyond cluster management. Loft provides a powerful UI and CLI but under the hood, it is 100% Kubernetes, so you can control everything via kubectl and the Kubernetes API, which guarantees great integration with existing cloud-native tooling. Building open-source software is part of our DNA. Loft Labs is CNCF and Linux Foundation member. Loft allows companies to empower their employees to spin up low-cost, low-overhead Kubernetes environments for a variety of use cases.
    Starting Price: $25 per user per month
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    Bright Cluster Manager
    NVIDIA Bright Cluster Manager offers fast deployment and end-to-end management for heterogeneous high-performance computing (HPC) and AI server clusters at the edge, in the data center, and in multi/hybrid-cloud environments. It automates provisioning and administration for clusters ranging in size from a couple of nodes to hundreds of thousands, supports CPU-based and NVIDIA GPU-accelerated systems, and enables orchestration with Kubernetes. Heterogeneous high-performance Linux clusters can be quickly built and managed with NVIDIA Bright Cluster Manager, supporting HPC, machine learning, and analytics applications that span from core to edge to cloud. NVIDIA Bright Cluster Manager is ideal for heterogeneous environments, supporting Arm® and x86-based CPU nodes, and is fully optimized for accelerated computing with NVIDIA GPUs and NVIDIA DGX™ systems.
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    MapReduce

    MapReduce

    Baidu AI Cloud

    You can perform on-demand deployment and automatic scaling of the cluster, and focus on the big data processing, analysis, and reporting only. Thanks to many years’ of massively distributed computing technology accumulation, Our operations team can undertake the cluster operations. It automatically scales up clusters to improve the computing ability in peak periods and scales down clusters to reduce the cost in the valley period. It provides the management console to facilitate cluster management, template customization, task submission, and alarm monitoring. By deploying together with the BCC, it focuses on its own business in a busy time and helps the BMR to compute the big data in free time, reducing the overall IT expenditure.
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    IBM Spectrum LSF Suites
    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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    CAPE

    CAPE

    Biqmind

    Multi-Cloud, Multi-Cluster Kubernetes App Deployment & Migration Made Simple. Unleash your K8s superpower with CAPE. Key Features. Disaster Recovery. Stateful application backup and restore for Disaster Recovery Data Mobility & Migration. Secure application & data management and migration across on-prem, private and public clouds. Multi-cluster Application Deployment. Stateful application deployment across multi-cluster & multi-cloud. Drag & Drop CI/CD Workflow Manager. Simplified UI for complex CI/CD pipeline configuration & deployment. CAPE for K8s Disaster Recovery Cluster Migration Cluster Upgrades Data Migration Data Protection Data Cloning App Deployment. CAPE™ radically simplifies advanced Kubernetes functionalities such as Disaster Recovery, Data Mobility & Migration, Multi-cluster Application Deployment, and CI/CD across on-prem, private and public clouds. Multi-Cluster Application Deployment. Control plane to federate clusters, manage application and services
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    AdroitLogic Integration Platform Server (IPS)
    Easily deploy any number of ESB instances on the Integration Platform with just a few mouse clicks. Monitor and debug individual instances as well as entire clusters via a single dashboard. ESB instances are spawned in lightweight Docker containers, which provides better resource utilization and responsiveness than virtual machines. The platform detects and re-spawns failed instances within a matter of seconds, using the powerful Kubernetes framework. Adjust computing power of the platform by adding or removing physical or virtual machines, with zero impact on existing components. Easily manage ESB clusters, projects, configurations and user permissions, monitor statistics and debug ESB instances via the IPS dashboard. Plug in project-specific dashboards and seamlessly manage and monitor the platform as well as individual projects via a single, unified dashboard.
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    OpenWGA

    OpenWGA

    Innovation Gate

    Showing just an RTF-Editor in a popup window is not how we understand WYSIWYG. Authors need exact control over paragraph length and line breaks, table widths and image sizes to create great-looking content. Just Tags and server-side Javascript - no java inside any template code. OpenWGA Developer Studio supports the software development process by delivering all necessary tools to create, develop, deploy and share OpenWGA web applications. A set of advanced technologies like its secure cluster architecture, JMX monitoring, SSO via SPNEGO, CMIS and the integrated REST-API makes OpenWGA Java CMS the optimal platform to run business critical enterprise applications. The OpenWGA CMS cluster management framework does not only support secure cluster communication and distributed task execution. It also comes with its own integrated session replication with optimized resource handling.
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    Tencent Cloud EKS
    EKS is community-driven and supports the latest Kubernetes version as well as native Kubernetes cluster management. It is ready-to-use in the form of a plugin to support Tencent Cloud products for storage, networking, load balancing, and more. EKS is built on Tencent Cloud's well-developed virtualization technology and network architecture, providing 99.95% service availability. Tencent Cloud ensures the virtual and network isolation of EKS clusters between users. You can configure network policies for specific products using security groups, network ACL, etc. The serverless framework of EKS ensures higher resource utilization and lower OPS costs. Flexible and efficient auto scaling ensures that EKS only consumes the amount of resources required by the current load. EKS provides solutions that meet different business needs and can be integrated with most Tencent Cloud services, such as CBS, CFS, COS, TencentDB products, VPC and more.
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    Apache Mesos

    Apache Mesos

    Apache Software Foundation

    Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes.
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    Proxmox VE

    Proxmox VE

    Proxmox Server Solutions

    Proxmox VE is a complete open-source platform for all-inclusive enterprise virtualization that tightly integrates KVM hypervisor and LXC containers, software-defined storage and networking functionality on a single platform, and easily manages high availability clusters and disaster recovery tools with the built-in web management interface.
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    Azure Kubernetes Fleet Manager
    Easily handle multicluster scenarios for Azure Kubernetes Service (AKS) clusters such as workload propagation, north-south load balancing (for traffic flowing into member clusters), and upgrade orchestration across multiple clusters. Fleet cluster enables centralized management of all your clusters at scale. The managed hub cluster takes care of the upgrades and Kubernetes cluster configuration for you. Kubernetes configuration propagation lets you use policies and overrides to disseminate objects across fleet member clusters. North-south load balancer orchestrates traffic flow across workloads deployed in multiple member clusters of the fleet. Group any combination of your Azure Kubernetes Service (AKS) clusters to simplify multi-cluster workflows like Kubernetes configuration propagation and multi-cluster networking. Fleet requires a hub Kubernetes cluster to store configurations for placement policy and multicluster networking.
    Starting Price: $0.10 per cluster per hour
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    Amazon EKS Anywhere
    Amazon EKS Anywhere is a new deployment option for Amazon EKS that enables you to easily create and operate Kubernetes clusters on-premises, including on your own virtual machines (VMs) and bare metal servers. EKS Anywhere provides an installable software package for creating and operating Kubernetes clusters on-premises and automation tooling for cluster lifecycle support. EKS Anywhere brings a consistent AWS management experience to your data center, building on the strengths of Amazon EKS Distro (the same Kubernetes that powers EKS on AWS.) EKS Anywhere saves you the complexity of buying or building your own management tooling to create EKS Distro clusters, configure the operating environment, update software, and handle backup and recovery. EKS Anywhere enables you to automate cluster management, reduce support costs, and eliminate the redundant effort of using multiple open source or 3rd party tools for operating Kubernetes clusters. EKS Anywhere is fully supported by AWS.
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    Kubegrade

    Kubegrade

    Kubegrade

    Kubegrade is a cloud-based Kubernetes management platform that simplifies and automates complex Kubernetes operations, making it easier for engineering and platform teams to upgrade, secure, monitor, troubleshoot, optimize, and scale clusters while keeping humans in control. It visualizes cluster state and dependencies, detects configuration drift and deprecated APIs, and uses AI-assisted insights to propose fixes as GitOps-ready pull requests that teams can review and approve, reducing manual toil and aligning cluster deployments with infrastructure as code. Kubegrade’s lifecycle automation covers secure upgrades, patching, cost attribution, rightsizing, centralized monitoring and logging, security enforcement, and troubleshooting with intelligent agents that predict issues and continuously analyze real-time telemetry, helping reduce downtime, mitigate risk, and improve reliability at scale.
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    Rancher

    Rancher

    Rancher Labs

    From datacenter to cloud to edge, Rancher lets you deliver Kubernetes-as-a-Service. Rancher is a complete software stack for teams adopting containers. It addresses the operational and security challenges of managing multiple Kubernetes clusters, while providing DevOps teams with integrated tools for running containerized workloads. From datacenter to cloud to edge, Rancher's open source software lets you run Kubernetes everywhere. Compare Rancher with other leading Kubernetes management platforms in how they deliver. You don’t need to figure Kubernetes out all on your own. Rancher is open source software, with an enormous community of users. Rancher Labs builds software that helps enterprises deliver Kubernetes-as-a-Service across any infrastructure. When running Kubernetes workloads in mission-critical environments, our community knows that they can turn to us for world-class support.
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    ManageEngine DDI Central
    ManageEngine DDI Central is designed to streamline network management for enterprises, offering a unified platform for DNS, DHCP, and IPAM. DDI Central as an overlay, discovers and integrates data across both on-premises as well as remote DNS-DHCP clusters. Enterprises gain holistic visibility and control of their network infrastructure, including remote branch offices. With smart automation features, real-time analytics, and advanced security protocols, DDI Central enhances operational efficiency, visibility, and network security, all from a single console. Features: Flexible internal and external DNS and DHCP cluster management Streamlined DNS server and zone management Automated DHCP scope management Targeted IP configurations with DHCP fingerprinting Secure dynamic DNS (DDNS) management DNS aging and scavenging DNS security management Domain traffic surveillance IP lease history insights IP-DNS correlations and IP-MAC identity mapping Built-in failover & auditing
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    OKD

    OKD

    OKD

    In short, OKD is a very opinionated deployment of Kubernetes. Kubernetes is a collection of software and design patterns to operate applications at scale. We add some features directly as modifications into Kubernetes, but mostly we augment the platform by "preinstalling" a large amount of pieces of software called Operators into the deployed cluster. These operators then provide all of our cluster components (over 100 of them) that make up the platform, such as OS upgrades, web consoles, monitoring, and image-building. OKD is intended to be run at all scales from cloud to metal to edge. The installer is fully automated on some platforms (such as AWS) or supports configuration into custom environments (such as metal or labs). OKD adopts developing best practices and technology. A great platform for technologists and students to learn, experiment, and contribute across the cloud ecosystem.
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    Edka

    Edka

    Edka

    Edka automates the creation of a production‑ready Platform as a Service (PaaS) on top of standard cloud virtual machines and Kubernetes. It reduces the manual effort required to run applications on Kubernetes by providing preconfigured open source add-ons that turn a Kubernetes cluster into a full-fledged PaaS. Edka simplifies Kubernetes operations by organizing them into layers: Layer 1: Cluster provisioning – A simple UI to provision a k3s-based cluster. You can create a cluster in one click using the default values. Layer 2: Add-ons - One-click deploy for metrics-server, cert-manager, and various operators; preconfigured for Hetzner, no extra setup required. Layer 3: Applications - Minimal config UIs for apps built on top of add-ons. Layer 4: Deployments - Edka updates deployments automatically (with semantic versioning rules), supports instant rollbacks, autoscaling, persistent volumes, secrets/env imports, and quick public exposure.