KubeCon + CloudNativeCon + Open Source Summit + AI_dev China 2024

The Distributed cloud offers better resilience by providing redundancy, scalability and flexibility, especially for cloud native applications. However the complexity of multi-cluster workload and traffic management in hybrid or multi-cloud environment brings huge challenges in practice, such as the number of overall multi-cluster workload instances serve for customer request decreased when some unhealthy ones isolated in case of failures. In this speech, Chaomeng introduces a production practice of Karmada and Istio work together to promote resilience of multi-cluster application. How Karmada and Istio policies configured in a centralized control plane controls both replica and traffic distribution across cluster automatically. In case of failures, how Istio’s failover acts to remove unhealthy endpoints from global load balancing pool, and how Karmada rebuild the according number of instance in other healthy clusters, ensure multi-cluster instances always meet the capacity design.

分布式云通过提供冗余、可伸缩性和灵活性，特别是对于云原生应用程序，提供了更好的弹性。然而，在混合或多云环境中的多集群工作负载和流量管理的复杂性在实践中带来了巨大挑战，例如当一些不健康的实例在故障情况下被隔离时，为客户请求提供服务的整体多集群工作负载实例数量减少。 在这次演讲中，Chaomeng介绍了Karmada和Istio共同推动多集群应用程序弹性的生产实践。Karmada和Istio策略如何在集中控制平面中配置，自动控制跨集群的副本和流量分发。在发生故障时，Istio的故障转移如何从全局负载均衡池中移除不健康的端点，以及Karmada如何在其他健康集群中重新构建相应数量的实例，确保多集群实例始终满足容量设计。