Container Service of Kubernetes
CDS Container Service of Kubernetes: It is an enterprise container platform based on Kubernets and CNCF projects and technology. It integrates the computing, storage, networking, and other infrastructure resources of CDS, and provides a series of services including monitoring, alarming, logging, etcd backup, etc. Users can deploy their own applications through the web interface or yaml files. The third-party mirroring app are also supported. It supports auto scaling capabilities, simplifying the setup and operating of container clusters.
CCK feature
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Secure and reliable
CCK uses distributed service architecture, separating storage and computing, providing failure auto recovery ability with rapid data migration, and ensuring high availability and data security.
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User-friendly
CCK simplifies the management of large-scale clusters and ops of distributed applications with server clicks on web.
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Rapid deployment
Massive containers can start in seconds. CCK helps improve container deployment efficiency, and unify development, testing and production environment standards,and eventually improve business delivery efficiency.
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Flexible scalability
CCK monitors CPU, memory, and other container indicators to automatically scale the user applications. It can also add node to the cluster or remove nodes from the cluster automatically according to the resource usage.
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High Resource Utilization
Namespace-level isolation, a single node can run over hundreds over applications, greatly improving resource utilization.
Application scenario
Cluster elastic expansion Hybrid cloud
Cluster elastic expansion
The computing resource can be automatically adjusted according to the user’s business needs and preset strategic, so that the number of cloud servers or containers automatically increases with the increases of the business load, and decreases with the decreases of the business load, ensuring the smooth and healthy operation of the business.
  • Free and flexible -- support a variety of policy configuration. Container scale can be triggered in seconds when the capacity limit is reached.
  • High availability – automatically monitor container health, enable new containers to replace an unhealthy container to ensure that the business is healthy and available.
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Hybrid cloud
The container environment unawareness feature enables unified management and seamless migration of applications and data between on-cloud and off-cloud to achieve flexible use of resources and service disaster recovery.
  • Cost reduction -- Service systems can be deployed on-cloud and off-cloud, help save cost by taking advantage of the elastic resources provided by the public cloud.
  • Disaster recovery-- Automatically detects the running status of containers and enables new containers to replace unhealthy containers to ensure service health and availability.
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Function
  • Cluster management, flexible choice of geographical and network environment.
    The user can choose according to their own needs, different regional creation, and deletion of cluster.
  • Setups Kubernetes cluster by on-click, one-stop container lifecycle management.
    Including network, storage, logging, monitoring, scheduling.
  • Flexible elastic scaling strategy.
    It supports automatic and manual virtual machine and the container two-level elastic scaling; the users can freely combine strategies to deal with emergencies.
  • Compatible with cloud native Kubernetes and Docker.
    Support the latest version of the community, fully compatible with the native API and the command line.
  • Deep integration of CDS cloud products.
    Based on the Kubernetes extension interface, it integrated cloud products such as load balancing, object storage, cloud file storage, alarms.
Container service version comparison
CDS Kubernetes vs. self-managed Kubernetes
  • Using CCK
  • One-click cluster creation, 20 to 30 minutes
  • Automatic integration monitoring. Out of box services: alarm manager, ETCD backup, etc.
  • Supports file storage, block storage, and object storage
  • Elastic of nodes auto scaling
  • Provide Web consol; Provides a GUI consistent with other cloud products
  • Technical support from professional and technical personnel
  • User self-build
  • It takes at least one hour to create the simplest cluster
  • Self-funded research and development
  • Create a storage cluster,and adaptive Kubernetes storage type
  • Node Capacity scaling
  • Install kubectl by yourself; Installing dashboards by Yourself
  • Learn and explore on your own
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