Open Source Linux Clustering Software
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Clustering Software for Linux
View 1405 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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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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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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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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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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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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vcluster
Create fully functional virtual Kubernetes clusters
Create fully functional virtual Kubernetes clusters with vcluster. Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces. vcluster itself is a certified Kubernetes distribution and is 100% Kubernetes API conform. Everything that works in a regular Kubernetes cluster works in cluster. Pods are scheduled in the underlying host cluster, so they get no performance hit at all while running. Split up large multi-tenant clusters into smaller vcluster to reduce complexity and increase scalability. Since most vcluster api requests and objects will not reach the host cluster at all, vcluster can greatly decrease pressure on the underlying Kubernetes cluster. Create via vcluster CLI, helm, kubectl, Argo or any of your favorite tools (it is basically just a StatefulSet). -
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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m23
Your linux deployment tool!
m23 is a free software distribution system (license: GPL), that installs (via network, starting with partitioning and formatting) and administrates (updates, adds / removes software, adds / removes scripts) clients with Debian, (X/K)Ubuntu and LinuxMint. It is used for deployment of Linux clients in schools, institutions and enterprises. The m23 server is controlled via a web interface. A new m23 client can be installed easily in only three steps. Group functions and mass installation tools make managing a vast number of clients comfortable. The integration of existing clients (with .deb-based distributions) into the system is possible, too. Client backup and server backup are included to avoid data loss. With the integrated virtualisation software, m23 can create and manage virtual m23 clients, that run on real m23 clients or the m23 server. Scripts and software packages (for installation on clients) can be created directly from the m23 web interface. -
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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. -
MongoDB Atlas | Run databases anywhereMongoDB Atlas allows you to build and run modern applications across 125+ cloud regions, spanning AWS, Azure, and Google Cloud. Its multi-cloud clusters enable seamless data distribution and automated failover between cloud providers, ensuring high availability and flexibility without added complexity.
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GPU, a Global Processing Unit
A framework for distributed computing
An extensible framework for distributed computing on P2P grids. We support peaceful free and open research and build an internet supercomputer. We render movies, solve Eternity puzzles, predict climate and improve a ~30 GHz cluster of clients. -
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RocksCuster Local Installation Server
Rockscluster Linux VirtualBox Install Server
Rocks Cluster Linux Install Server is a ova virtualbox image witch contain all of the rolls available on Rocksclusters website for easy installation. Like Local install mirror to reduce installation time and saves you bandwidth. The project is a ubuntu virtual machine with DHCP enable that is contain all the rolls. You only need to download "kernel-7.0-0.x86_64.disk1.iso" whitch is a bootable iso to start your frontend node. The "kernel-7.0-0.x86_64.disk1.iso" is available as iso on the virtual machine. For more information please read the readme.md.txt file. If you want to download updates until June 2024 and ELS updates please follow the link https://rocksclusters-7-update-rolles.sourceforge.io. -
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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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Mesos Cluster
Scripts to configure a Mesos cluster using Mesos and Mesosphere
Scripts to configure a Mesos cluster using Mesos and Mesosphere services. Mesos master running the Marathon and Chronos frameworks. Mesos agent with Docker containerizer. Mesos DNS for core service discovery. Marathon load balancer using HAProxy for SSL and proxying to internal applications. To try it out locally use the Vagrant configuration. To use the scripts to build a custom Mesos cluster first install the roles in your project and configure Ansible to load roles from the roles directory provided by this project. Install the chronos-sync ruby script distributed as part of Chronos. Once installed the script can be used for keeping version controlled Chronos job definitions up-to-date with a Chronos instance. Install DCOS CLI and configure for use "inside the cluster" with configured master nodes. The configuration relies on Mesos DNS to provide the Mesos master and Marathon endpoints. -
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GGI stands for "General Graphics Interface", and it is a project that aims to develop a reliable, stable and fast graphics system that works everywhere. We want to allow any program using GGI to run on any platform requiring at most a recompile.
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The aim of the project is to develop an open source iSCSI target with professional features, works well in enterprise environment under real workload, and is scalable and versatile enough to meet the challenge of future storage needs and developements.
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Atomatrix is a multithreaded execution system of atomic matrices with a dynamic compiler and a network eviron. It is the next generation object-orientated environment. XML, MUD-OO CLI, GnucDNA support, windows and many subprojects are built-in.
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ActiveGrid is an Enterprise Web 2.0 solution that allows the composition of code-free applications that comply with corporate IT standards. Technologies include Python, Java, XForm, Xpath, WSDL, CSS, XML Schema (XSD), XACML, and BPEL.
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ctl is an extensible application control script. It is a generic script written on ksh to control every kind of application. Control means to start, stop or monitor. The tool is currently used on Solaris environment but it's ready for Linux use as well.
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Cbench is intended as a relatively straightforward toolbox of tests, benchmarks, applications, utilities, and framework to hold them together with the goal to facilitate scalable testing, benchmarking, and analysis of a Linux parallel compute cluster.
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Cluster Orchestrator
orchestrator / cluster deployment tool
The Orchestrator server is responsible for distribution and launch of simple apply/rollback shell scripts in a particular order across multiple servers . If for any reason deployment is failing at a particular stage the process will stop and you can rollback any changes done until then. In case you want to deploy your code or just call your preferred DSC client to apply the configuration locally the Orchestrator can be a handy tool. The operation can be started manually or scheduled, depending on your needs. In terms of audit and trace capabilities, the system is collecting all console output of your shell scripts from all servers and saves the logs centrally for review. -
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JCGrid is an easy-to-use tools for real-world grid-computing. It requires only to install Java Runtime and you can easy split your cpu-intensive task among several Workstations/PC/Mac/etc. It includes support for POVRay and MandelGrid as usage examples.
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ODIE
Open Design and Integration Environment
The Open Design and Integration Environment is a toolbox of C and TCL code designed to introduce people to programming in a friendly way. It is also designed to be robust enough to novices to develop useful applications. -
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A collection of performance analysis software that can assist with a variety of techniques useful for application software optimization and benchmarking. The current release provides support for analysis with hardware performance counters on Linux.
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coNCePTuaL
DSL for writing communication benchmarks
coNCePTuaL is a toolset for rapidly generating portable, readable, and reproducible network-performance tests. coNCePTuaL can perform the equivalent of many pages of C code with just a few mouse clicks or lines of code in a domain-specific language. -
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distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.
