The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
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Updated
Aug 14, 2024 - Go
The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
一站式云原生实时流数据平台,通过0侵入、插件化构建企业级Kafka服务,极大降低操作、存储和管理实时流数据门槛
No need to know Kubernetes' cloud native application management platform | 不用懂 Kubernetes 的云原生应用管理平台
Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration
Kilo is a multi-cloud network overlay built on WireGuard and designed for Kubernetes (k8s + wg = kg)
Enable dynamic and seamless Kubernetes multi-cluster topologies
Kamaji is the Hosted Control Plane Manager for Kubernetes.
The Encyclopedia of Kubernetes clusters
Admiral provides automatic configuration generation, syncing and service discovery for multicluster Istio service mesh
Secure Edge Networking Solution Based On Kubernetes
Intelligence for Kubernetes. World's most promising Kubernetes Visualization Tool for Developer and Platform Engineering teams.
DHorse是一个轻量级、简单易用的云应用管理平台,具有多云和多环境管理、应用管理和部署、服务治理等功能,使用该平台不需要了解容器和k8s的概念。
Microsoft Azure Guide. Learn all about Microsoft Azure Tools, Services, and Certifications.
Holistic job manager on Kubernetes
Ferry is a Kubernetes multi-cluster communication component that eliminates communication differences between clusters as if they were in a single cluster, regardless of the network environment those clusters are in.
mck8s: Orchestration platform for multi-cluster k8s environments
This is the Azure Kubernetes Service (AKS) baseline for multi-region reference implementation as produced by the Microsoft Azure Architecture Center.
Lightweight service mesh for Kubernetes East-West and North-South traffic management, uses ebpf for layer4 and pipy proxy for layer7 traffic management, support multi cluster network.
FSM(Flomesh Service Mesh ) is Kubernetes North-South traffic manager, provides Ingress controllers, Gateway API, Load Balancer, and cross-cluster service registration and service discovery. FSM uses Pipy(https://github.com/flomesh-io/pipy) as data plane and suitable for cloud, edge and IoT.
Add a description, image, and links to the multi-cluster topic page so that developers can more easily learn about it.
To associate your repository with the multi-cluster topic, visit your repo's landing page and select "manage topics."