Open Source Linux Clustering Software
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Clustering Software for Linux
View 1451 business solutionsBrowse free open source Clustering software and projects for Linux below. Use the toggles on the left to filter open source Clustering software by OS, license, language, programming language, and project status.
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Find Hidden Risks in Windows Task SchedulerWindows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
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S.M.A.R.T. Monitoring Tools
Disk Inspection and Monitoring
smartmontools contains utility programs (smartctl, smartd) to control/monitor storage systems using the Self-Monitoring, Analysis and Reporting Technology System (S.M.A.R.T.) built into most modern ATA and SCSI disks. It is derived from smartsuite. -
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Tools for the Linux Kernel's network block device, allowing you to use remote block devices over a TCP/IP network. Note that we have moved to github: https://github.com/NetworkBlockDevice/nbd
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Kubernetes Dashboard
General-purpose web UI for Kubernetes clusters
Kubernetes Dashboard is a general purpose, web-based UI for Kubernetes clusters. It allows users to manage applications running in the cluster and troubleshoot them, as well as manage the cluster itself. To access Dashboard from your local workstation you must create a secure channel to your Kubernetes cluster. Kubeconfig Authentication method does not support external identity providers or certificate-based authentication. Metrics-Server has to be running in the cluster for the metrics and graphs to be available. Make sure that you know what you are doing before proceeding. Granting admin privileges to Dashboard's Service Account might be a security risk. In most cases after provisioning cluster using kops, kubeadm or any other popular tool, the ClusterRole cluster-admin already exists in the cluster. We can use it and create only ClusterRoleBinding for our ServiceAccount. If it does not exist then you need to create this role first and grant required privileges manually. -
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DRBL provides diskless or systemless environment. It uses distributed hardware resources and makes it possible for clients to fully access local hardware. It also includes Clonezilla, a partition and disk cloning utility similar to Ghost.
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RELIANOID
Network Load Balancer and Application Security
RELIANOID is an open core (Debian GNU/Linux based) Application Delivery Controller (ADC) with advanced load balancing features such as Network Load Balancer, Application Load Balancer with SSL offloading, Advance Network Configuration including Virtual Interfaces, VLANs, Bonding with link aggregation, IPv4/IPv6, advanced routing, stateless cluster, web GUI, JSON API and much more! Enterprise Edition Load Balancer is available with extra features such as global service load balancing (gslb), application security including web application firewall (WAF), blacklists, Realtime Blackhole Lists (DNSBL), DDoS protection, stateful clustering, SNMP monitoring, email and SNMP notifications, RBAC, VPN support, and the best Support directly from an expert Team. -
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minikube
Sets up a local Kubernetes cluster to run it
minikube quickly sets up a local Kubernetes cluster on macOS, Linux, and Windows. We proudly focus on helping application developers and new Kubernetes users. It supports the latest Kubernetes release (+6 previous minor versions). It iscross-platform (Linux, macOS, Windows), and allows the deployment of its functions as a VM, a container, or on bare-metal. Provides multiple container runtimes (CRI-O, containerd, docker), Docker API endpoint for blazing fast image pushes, and advanced features such as LoadBalancer, filesystem mounts, and FeatureGates. Contains addons for easily installed Kubernetes applications. -
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collectl
This is now also available here github.com/sharkcz/collectl.git
Collectl is a light-weight performance monitoring tool capable of reporting interactively as well as logging to disk. It reports statistics on cpu, disk, infiniband, lustre, memory, network, nfs, process, quadrics, slabs and more in easy to read format. -
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K9s
Kubernetes CLI To Manage Your Clusters In Style!
K9s is a terminal based UI to interact with your Kubernetes clusters. The aim of this project is to make it easier to navigate, observe and manage your deployed applications in the wild. K9s continually watches Kubernetes for changes and offers subsequent commands to interact with your observed resources. Provides standard cluster management commands such as logs, scaling, port-forwards, restarts. Define your own command shortcuts for quick navigation via command aliases and hotkeys. Plugin support to extend K9s to create your very own cluster commands. Powerful filtering mode to allow user to drill down and view workload related resources. Supports for viewing RBAC rules such as cluster/roles and their associated bindings. Reverse lookup to asserts what a user/group or ServiceAccount can do on your clusters. You can benchmark your HTTP services/pods directly from K9s to see how your application fare and adjust your resources request/limit accordingly. -
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kubenav
kubenav is the navigator for your Kubernetes clusters
kubenav is a mobile, desktop and web app to manage Kubernetes clusters. The app provides an overview of all resources in a Kubernetes clusters, including current status information for workloads. The details view for resources provides additional information. It is possible to view logs and events or to get a shell into a container. You can also edit and delete resources or scale your workloads within the app. The app is developed using Ionic Framework and Capacitor. The frontend part of the app is implemented using TypeScript and React functional components. The backend part uses Go mobile for communication with the Kubernetes API server and Cloud Providers. So it is possible to achieve nearly 100% code sharing between the mobile and desktop implementation of kubenav. Create a port-forwarding connection to one of your Pods and open the served page in your browser. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Kalavai
Turn everyday devices into your own AI cluster
Kalavai is a self-hosted platform that turns everyday devices into your very own AI cluster. Do you have an old desktop or a gaming laptop gathering dust? Aggregate resources from multiple machines and say goodbye to CUDA out-of-memory errors. Deploy your favorite open-source LLM, fine-tune it with your own data, or simply run your distributed work, zero-DevOps. Simple. Private. Yours. -
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PelicanHPC is an iso-hybrid (CD or USB) image that let's you set up a high performance computing cluster in a few minutes. A Pelican cluster allows you to do parallel computing using MPI. You can run Pelican on a single multiple core machine to use all cores to solve a problem, or you can network multiple computers together to make a cluster. The frontend node (either a real computer or a virtual machine) boots from the image. The compute nodes boot by PXE, using the frontend node as the server. All of the nodes of the cluster get their filesystems from the same image, so it is guaranteed that all nodes run the the same software. Packages can be added to all nodes using apt-get, thanks to aufs. The bootable image is created by running a single script, which takes advantage of the Debian Live infrastructure.
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Ganglia
Scalable, distributed monitoring system for high-performance computing
Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. Supports clusters up to 2000 nodes in size. -
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Crane
Crane is a FinOps Platform for Cloud Resource Analytics and Economics
Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easily but also to ensure the quality of applications. -
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Kubespray
Deploy a Production Ready Kubernetes Cluster
Can be deployed on AWS, GCE, Azure, OpenStack, vSphere, Equinix Metal (bare metal), Oracle Cloud Infrastructure (Experimental), or Baremetal. Highly available cluster. Composable (Choice of the network plugin for instance). Supports most popular Linux distributions. Continuous integration tests. The list of available docker versions is 18.09, 19.03, and 20.10. The recommended docker version is 20.10. The kubelet might break on docker's non-standard version numbering (it no longer uses semantic versioning). To ensure auto-updates don't break your cluster look into e.g. yum version lock plugin or apt pin). The target servers must have access to the Internet in order to pull docker images. Otherwise, additional configuration is required. The target servers are configured to allow IPv4 forwarding. If using IPv6 for pods and services, the target servers are configured to allow IPv6 forwarding. -
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kind
Kubernetes IN Docker - local clusters for testing Kubernetes
kind is a tool for running local Kubernetes clusters using Docker container “nodes”. kind was primarily designed for testing Kubernetes itself, but may be used for local development or CI. -
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
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CMAK
A tool for managing Apache Kafka clusters
CMAK (previously known as Kafka Manager) is a tool for managing Apache Kafka clusters. Easy inspection of cluster state (topics, consumers, offsets, brokers, replica distribution, partition distribution). Generate partition assignments with option to select brokers to use. Run reassignment of partition (based on generated assignments). Create a topic with optional topic configs (0.8.1.1 has different configs than 0.8.2+). Delete topic (only supported on 0.8.2+ and remember set delete.topic.enable=true in broker config). Topic list now indicates topics marked for deletion (only supported on 0.8.2+). Batch generate partition assignments for multiple topics with option to select brokers to use. Optionally enable JMX polling for broker level and topic level metrics. Optionally filter out consumers that do not have ids/ owners/ & offsets/ directories in zookeeper. -
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ClusterSSH (cssh)
Cluster SSH - Cluster Admin Via SSH
ClusterSSH is a tool to manage simultaneous interactive sessions across multiple SSH-accessible hosts. It opens one master terminal and many child terminal windows (or tabs), sending the same keystrokes to all clients while allowing isolated input per host. This is useful when orchestrating repetitive tasks—such as rolling updates or diagnosing distributed systems—without copying and pasting into each window. The interface supports splitting windows, delayed input modes, and host groupings to make clusters more manageable. It also includes features like per-host prompt prefixing or context awareness to avoid confusion in mixed environments. Because the architecture is simple and terminal-based, it works across diverse systems with minimal dependencies and remains popular among sysadmins wanting bulk control with tactile feedback. -
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Faiss
Library for efficient similarity search and clustering dense vectors
Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It assumes that the instances are represented as vectors and are identified by an integer, and that the vectors can be compared with L2 (Euclidean) distances or dot products. Vectors that are similar to a query vector are those that have the lowest L2 distance or the highest dot product with the query vector. It also supports cosine similarity, since this is a dot product on normalized vectors. -
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Genv
GPU environment management and cluster orchestration
Genv is an open-source environment and cluster management system for GPUs. Genv lets you easily control, configure, monitor and enforce the GPU resources that you are using in a GPU machine or cluster. It is intended to ease up the process of GPU allocation for data scientists without code changes. -
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A distributed, peer-to-peer, server-less communication & messaging solution for JAVA (JMS), C++ and .NET applications, integrates with JBoss, WebLogic & WebSphere. Offers guaranteed delivery, security and transactions. Supports TCP, SSL & HTTP protocols.
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The aoetools are programs for users of the ATA over Ethernet (AoE) network storage protocol, a simple protocol for using storage over an ethernet LAN. The vblade program (storage target) exports a block device using AoE.
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Generic SCSI target subsystem for Linux SCST allows creation of sophisticated storage devices. It includes generic SCSI target core with SCSI target drivers and backend handlers. There are target drivers for iSCSI, Fibre Channel, SRP, SAS, FCoE, etc.
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Linux Cluster Management Console (LCMC) is a GUI that helps to configure Pacemaker, DRBD and KVM clusters.
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Based on the source code of Sun Grid Engine, we are continuing the open source development effort here on sourceforge.
