Open Source Go Clustering Software
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Go Clustering Software
View 8492 business solutionsBrowse free open source Go Clustering Software and projects below. Use the toggles on the left to filter open source Go Clustering Software by OS, license, language, programming language, and project status.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use.Custom auth drains 25% of dev time and risks 62% more breaches, stalling enterprise deals. Frontegg platform delivers a simple login box, seamless authentication (SSO, MFA, passwordless), robust multi-tenancy, and a customizable Admin Portal. Integrate fast with the React SDK, meet compliance needs, and focus on innovation.
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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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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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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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Kubent
Easily check your clusters for use of deprecated APIs
Kubernetes 1.16 is slowly starting to roll out, not only across various managed Kubernetes offerings, and with that come to a lot of API deprecations. Kube No Trouble (Kubent) is a simple tool to check whether you're using any of these API versions in your cluster and therefore should upgrade your workloads first, before upgrading your Kubernetes cluster. This tool will be able to detect deprecated APIs depending on how you deploy your resources, as we need the original manifest to be stored somewhere. -
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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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Spegel
Stateless cluster local OCI registry mirror.
Spegel is a distributed container image registry mirror designed to speed up container image pulls in large-scale Kubernetes clusters. It locally mirrors container images to cluster nodes, reducing latency and bandwidth consumption during container deployments. Spegel integrates natively with containerd and CRI-O, ensuring seamless operation in container runtimes without changing workflows. It’s particularly useful for air-gapped, edge, or resource-constrained environments where access to remote registries is slow or restricted. -
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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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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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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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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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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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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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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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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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kOps
Production grade K8s installation, upgrades, and management
The easiest way to get a production grade Kubernetes cluster up and running. We like to think of it as kubectl for clusters. kops will not only help you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes cluster, but it will also provision the necessary cloud infrastructure. AWS (Amazon Web Services) is currently officially supported, with DigitalOcean, GCE, and OpenStack in beta support, and Azure and AliCloud in alpha. YAML Manifest Based API Configuration. Templating and dry-run modes for creating Manifests. You can choose from eight different CNI Networking providers out-of-the-box. Supports upgrading from kube-up. Capability to add containers, as hooks, and files to nodes via a cluster manifest. -
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kiosk
Multi-tenancy extension for Kubernetes
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. -
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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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AWS Cloud Map MCS Controller for K8s
K8s controller implementing Multi-Cluster Services API
The AWS Cloud Map Multi-cluster Service Discovery Controller for Kubernetes (K8s) implements the Kubernetes multi-cluster services API specification, which allows services to communicate across multiple clusters. The implementation relies on AWS Cloud Map for enabling cross-cluster service discovery. For multi-cluster service discovery and consumption, the controller should be installed on a minimum of 2 EKS clusters. Participating clusters should be provisioned into a single AWS account, within a single AWS region. Install the The CoreDNS multicluster plugin into each participating cluster. The multicluster plugin enables CoreDNS to lifecycle manage DNS records for ServiceImport objects. The controller must have sufficient IAM permissions to perform required Cloud Map operations. Grant IAM access rights AWSCloudMapFullAccess to the controller Service Account to enable the controller to manage Cloud Map resources. -
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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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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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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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KWOK
Kubernetes WithOut Kubelet - Simulates thousands of Nodes and Clusters
KWOK is a toolkit that enables setting up a cluster of thousands of Nodes in seconds. Under the scene, all Nodes are simulated to behave like real ones, so the overall approach employs a pretty low resource footprint that you can easily play around with on your laptop. -
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KubeView
Kubernetes cluster visualiser and graphical explorer
Kubernetes cluster visualizer and visual explorer. KubeView displays what is happening inside a Kubernetes cluster (or single namespace), it maps out the API objects and how they are interconnected. Data is fetched in real-time from the Kubernetes API. The status of some objects (Pods, ReplicaSets, Deployments) is color-coded red/green to represent their status and health. The app auto refreshes and dynamically updates the view as new data comes in or when it changes. -
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Kubeapps
A web-based UI for deploying and managing applications in Kubernetes
Kubeapps is an in-cluster web-based application that enables users with a one-time installation to deploy, manage, and upgrade applications on a Kubernetes cluster. Deploy and Manage your Favorite Kubernetes Packages. Browse and deploy packages from public and private registries. Perform day-two operations such as upgrades or rollbacks seamlessly. Create and manage different catalogs isolating them in different namespaces and clusters just using a single Kubeapps instance. Leverage RBAC and OAuth2/OIDC to authenticate and authorize users in Kubeapps. -
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Kubegres
Kubegres is a Kubernetes operator allowing to deploy clusters
Kubegres is a Kubernetes operator that allows to deployment one or many clusters of PostgreSQL pods with data replication and failover enabled out-of-the-box. It brings simplicity when using PostgreSQL considering how complex managing a stateful-set's life cycle and data replication could be with Kubernetes. Kubegres is fully integrated with Kubernetes' lifecycle as it runs as an operator written in Go. It is minimalist in terms of codebase compared to other open-source Postgres operators. It has the minimal and yet robust required features to manage a cluster of PostgreSql on Kubernetes. We aim keeping this project small and simple.
