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Learn how to define and manage multiple Kubernetes clusters using contexts, extract certificates, configure contexts for production and test environments, and boost switching efficiency with the kubectx tool, complete with step‑by‑step commands and practical tips.
Over two years, our Application Center Platform evolved through four stages—initial KubeVela‑based delivery, added bottom‑up synchronization for legacy services, a standardized OAM‑aligned application model, and multi‑active governance with delivery rules—boosting hybrid‑cloud delivery efficiency by over 60% and enabling automated clustering, resource detection, and compliance.
This article explains the theory and practical usage of k8gb, a Kubernetes Global Balancer that provides DNS‑based load balancing, fault‑tolerant traffic routing, and seamless failover across multiple clusters to improve resilience, latency, and compliance in cloud‑native environments.
Wondershare Technology adopted Alibaba Cloud's ACK One GitOps platform to automate and unify the deployment of dozens of Kubernetes clusters across multiple regions, addressing manual deployment inefficiencies, traceability, rollback challenges, and multi‑tenant permission management while achieving a 50% increase in release efficiency.
This guide explains how to handle service‑level failures in Kubernetes by using Alibaba Cloud Service Mesh (ASM) to automatically detect faults, shift traffic based on geographic priority, and implement various multi‑cluster, multi‑region, and multi‑cloud topologies for high availability.
Version 1.0.0 of KubeAdmiral, ByteDance’s open‑source multi‑cluster orchestration engine, introduces native Kubernetes API compatibility, advanced scheduling policies, fault‑tolerant migration, global status aggregation, and extensive hybrid‑cloud support, enabling seamless management of over 210 k machines across public and private clouds.
This guide explains how to use Alibaba Cloud Service Mesh (ASM) to create isolated, on‑demand environments for cloud‑native microservices across multiple ACK clusters, leveraging traffic‑lane (permissive mode) and OpenTelemetry automatic instrumentation to achieve efficient development, testing, and progressive gray‑release workflows while reducing resource consumption.
This article explains the challenges of multi‑cluster deployments and presents three Alibaba Cloud solutions—PrivateLink, Cloud Enterprise Network (CEN), and ASM East‑West Gateway—detailing their mechanisms, trade‑offs, and typical scenarios such as isolation, distributed applications, disaster recovery, and multi‑environment testing.
This article explains how CloudLakehouse’s Multi‑Cluster elastic architecture enables high‑concurrency, low‑latency real‑time analytics on data lakes by addressing storage‑compute separation, dynamic caching, and automated scaling, providing a cost‑effective solution for customer‑facing data products.
This article explains the challenges of load balancing traffic across multiple Kubernetes clusters, reviews the shortcomings of commercial, public‑cloud, Karmada, and simple DNS approaches, and details how the open‑source k8gb project uses DNS and CoreDNS to provide an automated, cloud‑native GSLB solution with failover and multi‑cloud support.
Since August 2021, DeWu App has built a cloud‑native, multi‑cluster Kubernetes platform that uses an OAM‑style CloneSet model, Helm‑generated resources, Karmada‑based federation, custom scheduler plugins for reservation and node‑balance, offline mixing for Flink, a unified KubeAutoScaler, and a self‑built KubeAI stack, achieving significant cost cuts and improved stability while planning further middleware containerization and multi‑cloud expansion.
This article examines the motivations, benefits, and existing solutions for Kubernetes multi‑cluster management, then details Vivo's non‑federated and federated approaches, application‑centric continuous delivery, elastic scaling, unified scheduling, gray‑release strategies, and summarizes the current state and challenges.
The article explains why enterprises adopt multi‑cluster Kubernetes architectures, reviews community solutions such as Karmada, Clusternet and OCM, and details vivo’s hybrid strategy that combines a unified UI for independent clusters with Karmada‑based federation for resource distribution, elastic scaling, cross‑cluster scheduling, and gray‑release migration.
This article explores the limitations of a Prometheus‑based monitoring stack and demonstrates how adopting a Thanos‑based architecture improves metric retention, enables multi‑cluster querying, and reduces overall infrastructure costs while providing a scalable, cloud‑native solution.
Vivo’s engineering team shares their practical experience creating a Karmada‑Operator using the Operator SDK and Ansible, detailing background, deployment challenges, design choices, API and architecture, etcd management, member cluster handling, CI pipeline, and performance testing to enable robust multi‑cloud Kubernetes orchestration.
This article explains how to prepare Linkerd for production use by covering high‑availability deployment, Helm chart installation, Prometheus metric handling, external Prometheus integration, multi‑cluster communication, and additional operational best‑practices such as resource tuning and security considerations.
vivo created an Ansible‑based Karmada‑Operator that declaratively manages multi‑cluster deployments, etcd backup/restore, and control‑plane upgrades via custom CRDs and CI pipelines, addressing the limitations of existing tools and providing extensible, reliable, self‑healing orchestration for large‑scale Kubernetes environments.
This guide explains the purpose of Kubernetes Federation, its benefits for multi‑cluster management, step‑by‑step installation using Helm and kubefedctl, how to join and unjoin clusters, enable resource federation, and provides a cheat sheet of common commands for reliable cross‑cluster deployments.
Over the past fifteen years, instant‑messaging (IM) systems have progressed through three stages—from early high‑concurrency software, through mobile‑internet and cloud‑based solutions, to modern cloud‑native architectures—highlighting shifting development challenges, the emergence of SDK services, and the technical considerations of multi‑cluster, high‑scale deployments.
The article explains how Intuit manages hundreds of Kubernetes clusters using multi‑control‑plane architectures and Admiral to automate Istio service‑mesh configuration, illustrating the challenges of large‑scale microservice deployment and sharing a domestic bank’s experience with similar cloud‑native adoption.