Open Source Go Clustering Software
Sort By:
Go Clustering Software
View 2021 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.
-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
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.
-
1
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. -
2
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. -
3
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. -
4
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. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
5
MinIO Operator
Simple Kubernetes Operator for MinIO clusters
MinIO is a Kubernetes-native high-performance object store with an S3-compatible API. The MinIO Kubernetes Operator supports deploying MinIO Tenants onto private and public cloud infrastructures ("Hybrid" Cloud). Each MinIO Tenant represents an independent MinIO Object Store within the Kubernetes cluster. The following diagram describes the architecture of a MinIO Tenant deployed into Kubernetes. The MinIO Console provides a graphical user interface (GUI) for interacting with MinIO Tenants. The MinIO Operator installs and configures the Console for each tenant by default. Administrators of MinIO Tenants can perform a variety of tasks through the Console, including user creation, policy configuration, and bucket replication. The Console also provides a high level view of Tenant health, usage, and healing status. -
6
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. -
7
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. -
8
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. -
9
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. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
10
Postgres Operator
Postgres operator creates and manages PostgreSQL clusters
The Postgres Operator delivers easy-to-run highly available PostgreSQL clusters on Kubernetes (K8s) powered by Patroni. It is configured only through Postgres manifests (CRDs) to ease integration into automated CI/CD pipelines with no access to Kubernetes API directly, promoting infrastructure as code vs manual operations. -
11
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. -
12
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. -
13
amazon-vpc-resource-controller-k8s
Controller for managing Trunk & Branch Network Interfaces on EKS
Controller for managing Trunk & Branch Network Interfaces on EKS Cluster using Security Group For Pod feature and IPv4 Addresses for Windows Node. Controller running on EKS Control Plane for managing Branch & Trunk Network Interface for Kubernetes Pod using the Security Group for Pod feature and IPv4 Address Management(IPAM) of Windows Nodes. The controller only manages the Trunk/Branch Network Interface for EKS Cluster using the Security Group for Pods feature. The Networking on the host is set up by the amazon-vpc-cni-k8s plugin. ENI Trunking is a private feature even though the APIs are publicly accessible using AWS SDK. Hence, attempting to run the controller on your worker node for enabling Security Group for Pod for managing Trunk and Branch Network Interface will result in failure of the API calls. -
14
kube-capacity
A simple CLI that provides an overview of the resource requests
This is a simple CLI that provides an overview of the resource requests, limits, and utilization in a Kubernetes cluster. It attempts to combine the best parts of the output from kubectl top and kubectl describe into an easy-to-use CLI focused on cluster resources. By default, kube-capacity will output a list of nodes with the total CPU and Memory resource requests and limits for all the pods running on them. For clusters with more than one node, the first line will also include cluster-wide totals. -
15
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. -
16
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). -
17
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. -
18
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. -
19
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. -
20
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. -
21
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. -
22
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. -
23
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. -
24
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. -
25
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.
