August 20, 2018 | Written by: Nilesh Patel
Categorized: Compute Services
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IBM Cloud Kubernetes load balancer for multizone clusters
We recently announced support for multizone clusters in IBM Cloud Kubernetes Service to improve app availability. One of the key components of this feature is a zone load balancer. When you create a multizone cluster, we automatically provision a zone load balancer for you behind the scenes. If you’re using a multizone cluster today, you are using zone load balancer for free and will continue to do so until September 19, 2018.
Effective September 20, 2018, all the users using a multizone load balancer will be charged for the service. The price for the load balancer is $0.02 per instance-hour. It will be reflected in the UI and billing system on the same day.
What if I don’t want to get charged?
You can switch back to single-zone cluster by deleting all the nodes across all of the zones except the one you want to treat as a single-zone cluster.
What is IBM Cloud Kubernetes Service?
IBM Cloud Kubernetes Service is a managed Kubernetes offering to deliver powerful tools, an intuitive user experience, and built-in security and isolation to enable rapid delivery of applications all while leveraging Cloud Services, including cognitive capabilities from Watson. IBM Cloud Kubernetes Service provides native Kubernetes capabilities like intelligent scheduling, self-healing, horizontal scaling, service discovery and load balancing, automated rollouts and rollbacks, and secret and configuration management. Additionally, IBM is adding capabilities to the container service, including simplified cluster management, container security and isolation choices, the ability to design your own cluster, leverage of other IBM Cloud services like Watson for your cognitive applications, completely native Kubernetes CLI and API, and integrated operational tools or support to bring your own tools to ensure operational consistency with other deployments.
Join the conversation
If you have questions or concerns, engage our team via Slack. You can register here (https://bxcs-slack-invite.mybluemix.net) and join the discussion in the #questions channel on https://ibm-container-service.slack.com.