Open Source Windows Clustering Software - Page 13

kiosk is a multi-tenancy extension For Kubernetes. Secure cluster sharing & self-service namespace provisioning. Accounts & account users to separate tenants in a shared Kubernetes cluster. Self-service namespace provisioning for account users. Account limits to ensure quality of service and fairness when sharing a cluster. Namespace templates for secure tenant isolation and self-service namespace initialization. Multi-cluster tenant management for sharing a pool of clusters. Kubernetes is designed as a single-tenant platform, which makes it hard for cluster admins to host multiple tenants in a single Kubernetes cluster. However, sharing a cluster has many advantages, e.g. more efficient resource utilization, less admin/configuration effort or easier sharing of cluster-internal resources among different tenants.

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.

A Kubernetes multi-node cluster for developers of Kubernetes and projects that extend Kubernetes. Based on kubeadm and DIND (Docker in Docker). Supports both local workflows and workflows utilizing powerful remote machines/cloud instances for building Kubernetes, starting test clusters and running e2e tests. If you're an application developer, you may be better off with Minikube because it's more mature and less dependent on the local environment, but if you're feeling adventurous you may give kubeadm-dind-cluster a try, too. In particular, you can run kubeadm-dind-cluster in CI environment such as Travis without having issues with nested virtualization.

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.

Monitor & detect crashes in your Kubernetes(K8s) cluster instantly. kwatch helps you monitor all changes in your Kubernetes(K8s) cluster, detects crashes in your running apps in realtime, and publishes notifications to your favorite channels (Slack, Discord, etc.) instantly. You can deploy kwatch easily on your cluster with one command.

libcluster provides automatic cluster formation and node discovery for Erlang/Elixir applications, removing the manual steps typically required to connect distributed nodes. It ships with multiple pluggable strategies—such as DNS polling, Kubernetes integration, EC2 metadata/tag discovery, UDP gossip, and EPMD helpers—so you can adapt clustering to your runtime environment. The library supervises a topology process that continually discovers peers and joins or prunes nodes as they become available or disappear. Its design embraces OTP principles: strategies implement a behavior, can be composed, and run under supervision for resilience. libcluster also emits events on nodeup/nodedown, allowing applications to react (for example, rebalance work or update registries) when membership changes. Because it relies on the BEAM’s native distribution, it integrates cleanly with Phoenix PubSub, Horde, Oban, or any other distributed Elixir tooling.

Multicast file synchronization software

metahelper is a utility which makes creating and maintaining upgradeable, removable, and verifiable configuration "metapackages" easy. A metapackage works with files owned by other packages to customize and configure them specifically for your environmen

A very lightweight Python program that executes commands on multiple Linux hosts in a user-designated number of threads via SSH. Intended for management for a large number of Linux/Unix nodes

Strength in numbers. Existing products we're involved in include port to Linux of Tony Forbes' MFAC for brute-force factorization of MM61 for relatively small factors, and further development and improvement of Tim Charron's ECMnet distributed computing f

omuscd is an User Space Cluster Daemon for use with the openMosix 2.6 kernel extension for single-system image clustering. The daemon provides process migration management and communication between networked computers to construct a cluster.

A data parallel scientific programming model. Compiles efficiently to different platforms like distributed memory (MPI), shared memory multi-processor (pthreads), Cell BE processor, Nvidia Cuda, SIMD vectorization (SSE, Altivec), and sequential C++ code.

A web-based monitor for PBS-based clusters (e.g. OpenPBS and Torque). It provides an overview of node usage, running jobs, and active users. It is built on the pbs-python libraries.

PyDSH is a remote administration tool, consisting of pydsh and pydcp. Pydsh allows you to run a command on multiple hosts in parallel over RSH, SSH or Telnet, OR manage your SSH public keys. The pydcp command allows copying files to/from multiple hosts.

This lets you used the PVM (parallel virtual machine) API from within Python.

This project aims to provide a reliable cloud computing system, able to work with cloud computing framework existing today. Developed and maintained by Alecsandru Patrascu, Computer Science, University Politehnica of Bucharest

vzhaipd is a set of Virtuozzo/OpenVZ mount/umount Container scripts that will make sure a HA IP is always present on one of two or more Containers.

sharq is a batch-queueing system that allows for multiple users to make effective use of a beowulf cluster. sharq allows for prioritization based on a user's funding, and also based on the size of the job. sharq is very light-weight and easy to learn.

A distributed evolution simulation. Features a separate client and server. The client uses OpenGL and OpenAL for visualation and auralization.

Tomcat clustering, providing failover clustering, load balancing clustering, tomcat clustering. Including apache and tomcat web server. Need to copy and run on server.

This project consists of a session manager plugin for Tomcat 5 clusters, designed to scale by using single "buddy" backups rather than full replication. It uses the jcluster API (http://jcluster.dev.java.net) as the communication mechanism.

UCAS or Universal Central Admin System.Client to Server API system for administrating Unix/Linux/BSD systems that allows a quick and effective method for keeping control of all your servers in one central system.

vMotion Detector is an application suite designed for Oracle OEM, Oracle Grid or Nagios that allows a Windows or Linux Guest VM detect when it has its Session ID modified due to an underlying DRS or HA clustered environment change.

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).