Open Source Mac Clustering Software
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Clustering Software for Mac
View 1637 business solutionsBrowse free open source Clustering software and projects for Mac 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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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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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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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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EKS Distro Repository
Amazon EKS Distro (EKS-D) is a Kubernetes distribution
Amazon EKS Distro (EKS-D) is a Kubernetes distribution based on and used by Amazon Elastic Kubernetes Service (EKS) to create reliable and secure Kubernetes clusters. With EKS-D, you can rely on the same versions of Kubernetes and its dependencies deployed by Amazon EKS. This includes the latest upstream updates, as well as extended security patching support. EKS-D follows the same Kubernetes version release cycle as Amazon EKS, and we provide the bits here. EKS-D provides the same software that has enabled tens of thousands of Kubernetes clusters on Amazon EKS. EKS is a fully managed Kubernetes platform, while EKS-D is available to install and manage yourself. You can run EKS-D on-premises, in a cloud, or on your own systems. EKS-D provides a path to having essentially the same Amazon EKS Kubernetes distribution running wherever you need to run it. -
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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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Altinity Kubernetes Operator ClickHouse
Creates, configures and manages clusters running on Kubernetes
Altinity Kubernetes Operator for ClickHouse creates, configures and manages ClickHouse clusters running on Kubernetes. -
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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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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. -
No-Nonsense Code-to-Cloud Security for Devs | AikidoAikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
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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. -
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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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KubeKey
Install Kubernetes/K3s only, both Kubernetes/K3s and KubeSphere
KubeKey is an open-source lightweight tool for deploying Kubernetes clusters. It provides a flexible, rapid, and convenient way to install Kubernetes/K3s only, both Kubernetes/K3s and KubeSphere, and related cloud-native add-ons. It is also an efficient tool to scale and upgrade your cluster. In addition, KubeKey also supports a customized Air-Gap package, which is convenient for users to quickly deploy clusters in offline environments. -
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MicroK8s
Single-package Kubernetes for developers, IoT and edge
Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. As the publishers of MicroK8s, we deliver the world’s most efficient multi-cloud, multi-arch Kubernetes. Under the cell tower. On the racecar. On satellites or everyday appliances, MicroK8s delivers the full Kubernetes experience on IoT and micro clouds. Fully containerized deployment with compressed over-the-air updates for ultra-reliable operations. MicroK8s will apply security updates automatically by default, defer them if you want. Upgrade to a newer version of Kubernetes with a single command. It’s really that easy. -
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inlets-operator
Get public TCP LoadBalancers for local Kubernetes clusters
Get public TCP LoadBalancers for local Kubernetes clusters. When using a managed Kubernetes engine, you can expose a Service as a "LoadBalancer" and your cloud provider will provision a TCP cloud load balancer for you, and start routing traffic to the selected service inside your cluster. In other words, you get ingress to an otherwise internal service. The inlets-operator brings that same experience to your local Kubernetes cluster by provisioning a VM on the public cloud and running an inlets server process there. Within the cluster, it runs the inlets client as a Deployment, and once the two are connected, it updates the original service with the IP, just like a managed Kubernetes engine. -
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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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Cluster Template
A template for deploying a Kubernetes cluster with k3s or Talos
Welcome to my opinionated and extensible template for deploying a single Kubernetes cluster. The goal of this project is to make it easier for people interested in using Kubernetes to deploy a cluster at home on bare-metal or VMs. At a high level, this project makes use of makejinja to read in a configuration file which will render out pre-made templates that you can then use to customize your Kubernetes experience further. The features included will depend on the type of configuration you want to use. There are currently 2 different types of configurations available with this template. -
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Clusternet
[CNCF Sandbox Project] Managing your Kubernetes clusters
An open-source project that helps users manage multiple Kubernetes clusters as easily as ‘visiting the Internet’ (thus the name ‘Clusternet’). It is a general-purpose system for controlling Kubernetes clusters across different environments as if they were running locally. Manage multiple Kubernetes clusters (running on public cloud, private cloud, hybrid cloud, or at the edge) from a single management cluster. Deploy Helm Charts, all Kubernetes built-in resources (like Deployments) and CRDs to manage clusters with two-tier application configuration for cluster-specific values. -
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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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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. -
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Shell-operator
A tool for running event-driven scripts in Kubernetes
Shell-operator is a tool for running event-driven scripts in a Kubernetes cluster. This operator is not an operator for a particular software product such as Prometheus-operator or Kafka-operator. Shell-operator provides an integration layer between Kubernetes cluster events and shell scripts by treating scripts as hooks triggered by events. Think of it as an operator-sdk but for scripts. Shell-operator is used as a base for a more advanced addon-operator that supports Helm charts and value storages. -
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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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kwatch
Monitor & detect crashes in your Kubernetes(K8s) cluster instantly
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. -
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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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UPDATE: Chromium is no longer updated or maintained. The project is frozen. Chromium is a flexible framework for scalable real-time rendering on clusters of workstations, derived from the Stanford WireGL project code base.
