March 20, 2019 | Written by: Chris Rosen
Categorized: Compute Services | How-tos
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IBM Cloud Kubernetes Service and the Couchbase Autonomous Operator
I’m always excited to work with partners and bring choice to my users to run the workloads they need in IBM Cloud Kubernetes Service. I’ve recently worked with Anil Kumar, Director of Product Management at Couchbase Server, and he has published a great blog with a step-by-step guide to using the Couchbase Autonomous Operator on IBM Cloud Kubernetes Service.
Read the blog: “Getting Started with the Couchbase Autonomous Operator on IBM Cloud Kubernetes Service”
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What is the IBM Cloud Kubernetes Service?
IBM Cloud Kubernetes Service is a managed Kubernetes offering that delivers powerful management tools, an intuitive user experience, and built-in security and isolation to enable rapid delivery of applications, all while leveraging Cloud Services and 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. IBM is also adding capabilities to the Kubernetes Service, including the following:
- Simplified cluster management with HA masters and multizone clusters
- Container security and isolation choices
- The ability to design your own cluster
- The option to leverage other IBM Cloud services, such as Watson for your cognitive applications
- Completely native Kubernetes CLI and API
- Integrated operational tools or support to bring your own tools to ensure operational consistency with other deployments
For general questions, engage our team via Slack by registering here and join the discussion in the #general channel on our public IBM Cloud Kubernetes Service Slack.