The missing open-source Kubernetes UI with a built-in MCP server for AI agents. See what's broken, why, and what changed. Issues, Topology, event timeline, Helm, GitOps, live service traffic, and cluster audits - all in one Go binary.
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The missing open-source Kubernetes UI with a built-in MCP server for AI agents. See what's broken, why, and what changed. Issues, Topology, event timeline, Helm, GitOps, live service traffic, and cluster audits - all in one Go binary.
Deploy a Production Ready Kubernetes Cluster
MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
Home for Cluster API, a subproject of sig-cluster-lifecycle
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
Activiti is a light-weight workflow and Business Process Management (BPM) Platform targeted at business people, developers and system admins. Its core is a super-fast and rock-solid BPMN 2 process engine for Java. It's open-source and distributed under the Apache license. Activiti runs in any Java application, on a server, on a cluster or in the cloud. It integrates perfectly with Spring, it is extremely lightweight and based on simple concepts.
Android Auto and CarPlay for GM EV AAOS head units with cluster/HUD support and EV range in Maps
A complete typescript implementation of the Matter protocol specification (https://buildwithmatter.com). Includes full support for controller, device, commissioning, secure communications, device types, and cluster definitions.
vCluster creates tenant clusters: fully isolated environments delivered as managed Kubernetes, or as the foundation for Slurm, Ray, Run:ai and inference clusters. Each gets its own API server, CRDs and RBAC, and runs on an existing cluster or standalone on bare metal. CNCF Certified Kubernetes.
Cat-approved, 100% renewable, GMO-Free HomeLab k8s cluster managed via Flux2 & Renovate
Automatic SRE Superpowers within your Kubernetes cluster
Operator pattern for managing multi-operator products
An operator that gets you an ArgoCD for cluster configuration out-of-the-box on OpenShift along with the UI for visualizing environments.
A ~45 MB MaaS platform: one cluster across public and private clouds, on any mix of accelerators.
Lightweight self-hosted web panel for Mihomo: listeners, users, subscriptions, SSL/ACME, Telegram, and multi-node cluster.
My home Kubernetes cluster managed with git-ops
Cluster API k3s
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
GitOps principles to define kubernetes cluster state via code
Scalable cluster administration Python framework — Manage node sets, node groups and execute commands on cluster nodes in parallel.
AWS ParallelCluster is an AWS supported Open Source cluster management tool to deploy and manage HPC clusters in the AWS cloud.
A cluster computing framework for processing large-scale geospatial data
An auto-scaling cluster of build agents running in your own AWS VPC
A connector for Spark that allows reading and writing to/from Redis cluster
Run in all nodes of your cluster before the cluster starts - lets you customize your cluster
Add-on agent to generate and expose cluster-level metrics.
Cluster capacity analysis
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, Gaudi NPU, Google TPU, GraphCore IPU and other NPUs.
Local development against a remote Kubernetes or OpenShift cluster
Cruise-control is the first of its kind to fully automate the dynamic workload rebalance and self-healing of a Kafka cluster. It provides great value to Kafka users by simplifying the operation of Kafka clusters.