IBM Bluemix Container Service
Deploy and manage Kubernetes clusters with IBM Cloud Kubernetes Service
About IBM Bluemix Container Service
IBM Cloud Kubernetes Service provides a fully managed, certified Kubernetes platform for deploying secure, highly available clusters. Enjoy native Kubernetes tools, automated scaling, and enterprise-grade security. Integrate with IBM Watson for enhanced capabilities and optimize costs with exclusive savings on containerized workloads.
FAQ
Every cluster is provisioned with a Kubernetes master that IBM operates and manages, and worker nodes deployed into the client-owned infrastructure. Your worker nodes are single-tenant and dedicated to you, the client. Manage your worker nodes by using IBM-provided tools for operating system patch deployment, container runtime updates and new Kubernetes versions.
Yes, you can provision block storage for your cluster and use the storage by your application as a persistent data store. IBM Cloud Kubernetes Service provides predefined Kubernetes storage classes you can use to choose the block storage capacity and performance characteristics that meet your application requirements.
The IBM Cloud Kubernetes Service fully integrates with the IBM Cloud platform’s IP addressing, network routing, ACL, load balancing and firewall capabilities. When you deploy standard clusters, you can specify the virtual network for your worker nodes that provide network segmentation and isolation. Every cluster is set up with predefined network policies.
Every cluster is set up as a single-tenant cluster dedicated to you only. To secure the communication between the Kubernetes API server and your worker nodes, the IBM Cloud Kubernetes Service uses an OpenVPN tunnel and TLS certificates, and monitors the master network to detect and remediate malicious attacks. You control user access to cluster resources.
In the IBM Cloud Kubernetes Service, you can enable horizontal pod autoscaling to automatically increase or decrease your app pods in response to your workload needs.
Yes, with IBM Cloud Kubernetes Service, you are in control of your cluster and can implement your own custom Kubernetes scheduling and affinity logic for your Kubernetes deployments.
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