Open Source Clustering Software
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Clustering Software
View 2052 business solutionsBrowse free open source Clustering software and projects 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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PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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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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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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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. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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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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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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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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kubectx
Faster way to switch between clusters and namespaces in kubectl
kubectx is a utility to manage and switch between kubectl contexts. kubectx supports Tab completion on bash/zsh/fish shells to help with long context names. You don't have to remember full context names anymore. kubens is a utility to switch between Kubernetes namespaces. kubens also supports Tab completion on bash/zsh/fish shells. There are several installation options. As kubectl plugins (macOS/Linux), macOS, Homebrew (recommended), MacPorts, Linux, Debian, Arch Linux, Homebrew, Manual installation. You can install and use Krew kubectl plugin manager to get kubectx and kubens. After installing, the tools will be available as kubectl ctx and kubectl ns. Since kubectx/kubens are written in Bash, you should be able to install them to any POSIX environment that has Bash installed. If you want kubectx and kubens commands to present you an interactive menu with fuzzy searching, you just need to install fzf in your PATH. -
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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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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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K8SGPT
Giving Kubernetes Superpowers to everyone
K8sGPT is a tool for scanning your Kubernetes clusters and diagnosing and triaging issues in simple English. It has SRE experience codified into its analyzers and helps to pull out the most relevant information to enrich it with AI. We have created analyzers that search your Kubernetes cluster for common problems and issues. These analyzers are based on SRE experience and are constantly being updated to keep up with the latest Kubernetes releases. Our ambition is to support multiple AI-powered backends. These serve as guides amid the noise of your cluster. They help you to focus on the most relevant information. -
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Kubernetes Goat
Kubernetes Goat is a "Vulnerable by Design" cluster environment
Learn to attack or find security issues, misconfigurations, and real-world hacks within containers, Kubernetes, and cloud-native environments. Enumerate, exploit, and gain access to the workloads right from your browser. Understand how attackers think, work, and exploit security issues, and apply these learnings to detect and defend them. Also, learn best practices, defenses, and tools to mitigate, and detect in the real world. Learn the hacks, defenses, and tools. So that you can think like an attacker, and secure your Kubernetes, cloud, and container workloads right from the design, code, and architecture itself to prevent them. Use Kubernetes Goat to showcase the effectiveness of the tools, product, and solution. Also, educate the customers and share your product or tool knowledge in an interactive hands-on way. -
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Zarf
DevSecOps for Air Gap & Limited-Connection Systems
Zarf eliminates the complexity of air gap software delivery for Kubernetes clusters and cloud-native workloads using a declarative packaging strategy to support DevSecOps in offline and semi-connected environments. -
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AWS App Mesh Controller For K8s
A controller to help manage App Mesh resources for Kubernetes cluster
AWS App Mesh Controller For K8s is a controller to help manage App Mesh resources for a Kubernetes cluster and injecting sidecars to Kubernetes Pods. The controller watches custom resources for changes and reflects those changes into the App Mesh API. The controller maintains the custom resources (CRDs): meshes, virtual nodes, virtual routers, virtual services, virtual gateways, and gateway routes. The custom resources map to App Mesh API objects. AppMesh controller supports monitoring the control plane with Prometheus and Grafana. AppMesh controller supports integration with multiple tracing solutions for data plane. AppMesh limits pod count per virtualNode. By default the limit is 10. When working against the App Mesh Preview environment, the preview SDK models are downloaded and used to generate the AWS SDK for Go dynamically. -
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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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Infra
Infra provides authentication and access management to servers
Infra provides authentication and access management to servers and Kubernetes clusters. Infra generates short-lived credentials based on identity, replacing the need for passwords and other shared secrets. Infra brings authentication and access control to servers, clusters, and databases. All credentials are created dynamically after verifying a user or machine's identity. No more shared access. Unique credentials are created for each device, user or application. Credentials generated by Infra can be configured to expire after a short period of time. Authenticate from headless server environments, desktops, and automation tools. Credentials can be revoked at any time, cutting access in the event where a device is compromised. -
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Kubez-ansible
To provide quick deployment tools for kubernetes cluster
To provide quick deployment tools for Kubernetes cluster and cloud-native applications. This session has been tested on Rocky 8.5, Debian 11, and Ubuntu 20.04+ which are supported by python3. -
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OpenPAI
Resource scheduling and cluster management for AI
OpenPAI has entered stable mode with no major feature release planned. In order to save maintenance efforts, we changed the repo to read-only mode. For collaboration, please contact repo admin directly. With the release of v1.0, OpenPAI is switching to a more robust, more powerful, and lightweight architecture. OpenPAI is also becoming more and more modular so that the platform can be easily customized and expanded to suit new needs. OpenPAI also provides many AI user-friendly features, making it easier for end users and administrators to complete daily AI tasks. -
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Wayne
Kubernetes multi-cluster management and publishing platform
Wayne is a universal, web-based Kubernetes multi-cluster management platform. It reduces service access costs by visualizing Kubernetes object template editing. With a complete permission management system and adapting to multi-tenant scenarios, it is a publishing platform suitable for enterprise-level clusters. Wayne has been serving 360 search on a large scale, carrying most of the online services, stably managing nearly a thousand applications, and tens of thousands of containers, running for more than two years, and withstood the test of production. -
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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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DataSophon
The next generation of cloud-native big data management expert
Aiming at quickly deploying, managing, monitoring and automating the operation and maintenance of Big Data service components and nodes, helping you quickly build stable, efficient Big Data cluster services. The Three-Body Problem, a Hugo Award-winning work of the world's highest science fiction literature, is known for its stunning "hard science fiction" style, and its author Liu Cixin is credited with "single-handedly raising Chinese science fiction to a world-class level". As a very important role in the Triad, the Sophon is a two-dimensional unfolding of the nine-dimensional proton, which is transformed into a supercomputer through circuit etching and then transferred back to the microscopic eleventh dimension to monitor every human movement and use quantum entanglement to achieve instantaneous communication to report to the Triad civilization four light years away. -
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Sonobuoy
Sonobuoy is a diagnostic tool to understand Kubernetes cluster
Sonobuoy is a diagnostic tool that makes it easier to understand the state of a Kubernetes cluster by running a set of plugins (including Kubernetes conformance tests) in an accessible and non-destructive manner. It is a customizable, extendable, and cluster-agnostic way to generate clear, informative reports about your cluster. -
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kube-state-metrics
Add-on agent to generate and expose cluster-level metrics
kube-state-metrics (KSM) is a simple service that listens to the Kubernetes API server and generates metrics about the state of the objects. (See examples in the Metrics section below.) It is not focused on the health of the individual Kubernetes components, but rather on the health of the various objects inside, such as deployments, nodes and pods. kube-state-metrics is about generating metrics from Kubernetes API objects without modification. This ensures that features provided by kube-state-metrics have the same grade of stability as the Kubernetes API objects themselves. In turn, this means that kube-state-metrics in certain situations may not show the exact same values as kubectl, as kubectl applies certain heuristics to display comprehensible messages. kube-state-metrics exposes raw data unmodified from the Kubernetes API, this way users have all the data they require and perform heuristics as they see fit. -
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Corosync Cluster Engine
The 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. A closed process group communication model with extended virtual synchrony guarantees for creation of 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. 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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Karpenter
Kubernetes Node Autoscaling: built for flexibility, and performance
Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. Karpenter automatically launches just the right compute resources to handle your cluster's applications. It is designed to let you take full advantage of the cloud with fast and simple compute provisioning for Kubernetes clusters. Karpenter responds quickly and automatically to changes in application load, scheduling, and resource requirements, placing new workloads on a variety of available compute resource capacities. Karpenter comes with a set of opinionated defaults in a single, declarative Provisioner resource which can easily be customized. No additional configuration is required! Karpenter observes the aggregate resource requests of unscheduled pods and makes decisions to launch and terminate nodes to minimize scheduling latencies and infrastructure costs. Karpenter is licensed under the permissive Apache License 2.0. -
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Kubermatic KubeOne
Kubermatic KubeOne automate cluster operations on all your cloud
Kubermatic KubeOne automates cluster operations on all your cloud, on-prem, edge, and IoT environments. KubeOne can install high-available (HA) master clusters as well single master clusters. KubeOne works on any infrastructure out of the box. All you need to do is to provision the infrastructure and let KubeOne know about it. KubeOne will take care of setting up a production-ready Highly Available cluster. KubeOne natively supports the most popular providers, including AWS, Azure, DigitalOcean, GCP, Hetzner Cloud, Nutanix, OpenStack, VMware Cloud Director, and VMware vSphere. The natively supported providers enjoy additional features such as integration with Terraform and Kubermatic machine-controller.
