The management node is deployed and maintained by JD Cloud. The deployment scope covers multiple areas, supporting multiple available zones in the same area to deploy the cluster, and the management node adopts a highly available node redundancy mechanism. The JCS for Kubernetes version is fully verified by JD Cloud and is safe and reliable.
The type and initial number of work nodes are selected by the users according to the needs of the service. Based on the Availability Group to achieve fault domain isolation, the latest Skylake platform Virtual Machines is adopted, which supports general-purpose, computationally-optimized and memory-optimized types.
Providing CNI network plug-in based on JD Cloud SDN network, it can easily adapt to the network demands of different scale production environment; integrating CSI storage plug-in and Cloud Disk Service to provide secure and reliable persistent storage for stateful services; integrating JD Cloud Load Balancer service to provide secure, reliable network access.
Compatible with all applications running on standard Kubernetes environment and it could easily migrated to the JD Cloud JCS for Kubernetes.
You can operate through the Console Dashboard to deploy the four common used resources, Deployment, Pod, Service, and ConfigMap in JCS for Kubernetes, so as to simplify the user deployment processes
By virtue of JCS for Kubernetes, create the development and testing deployment flow under the unit of container, which simplifies the environment setup steps, improves the resource utilization and the development and testing deployment speed, and lowers the migration costs. Container can be quickly created and deleted, realizing fast iteration, and saving a lot of development, testing and deployment time.
Container is a "natural"carrier of micro-service-oriented architecture. By virtue of JCS for Kubernetes, the lightweight class and unified deployment feature of the container brings a brand-new thought for unified management, dispatching and deployment of various micro services, and remarkably reduces the dependency between service and version, allowing the same micro service to maintain good consistency in different environment.
By virtue of the capacity of container (namely quick start, quick deployment and mass concurrency), JCS for Kubernetes can perfectly meet the burst business demands of the applications under large variation and needing quick start of hundreds of or even thousands of machines.
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