May 21, 2018 By jason-mcalpin 2 min read

Effective immediately, IBM Cloud Container Service is renamed to IBM Cloud Kubernetes Service.

Our new name highlights IBM’s strategic investment in Kubernetes within our managed container service, running on IBM Cloud. Also, Kubernetes in our updated name reflects that IBM is a founder of CNCF Conformance Testing.  

As one of the first fully managed and mature Kubernetes offerings in the cloud, IBM Cloud Kubernetes Service has been generally available since May 2017. You can learn more in our docs or landing page. In the meantime, you’ll still see some references to “IBM Cloud Container Service” in user interfaces, documentation, tutorials, patterns, and other collateral. We’ll be working to update those.

New name, same great capabilities

IBM Cloud Kubernetes Service delivers built-in security, isolation, an intuitive user experience, and automated toolchains  to enable rapid delivery of applications, all while leveraging IBM Cloud Services including AI capabilities from Watson. IBM Cloud Kubernetes Service provides native Kubernetes capabilities such as 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 IBM Cloud Kubernetes Service including simplified cluster management, ability to design your own cluster, completely native Kubernetes CLI and API, and integrated operational tools or support to bring your own tools to ensure operational consistency with other deployments. Finally you can run your clusters and apps in the specific geographies that are important to you.

Secure to the core

Security is a critical component of IBM Cloud Kubernetes Service. One aspect of security is our cluster isolation. Every Kubernetes cluster is single-tenant and dedicated by default, and we even provide multiple options for worker node compute – shared or dedicated virtual machines and bare metal:

  • The shared model is a standard cloud IaaS, providing a single-tenant virtual machine on multi-tenant hypervisor and hardware, still without any over commitment of those physical resources. 

  • The dedicated compute model is a single-tenant offering including VM, hypervisor, and hardware, providing additional isolation to your workloads.  

  • Announced in March 2018, bare metal worker nodes are available to provide greater isolation and performance for your containerized workloads. Bare metal worker nodes provide support for Trusted Compute, which can verify your worker nodes against tampering.

  • All worker nodes run in your IBM Cloud account ensuring you have full control over the compute, storage, and networks.  

Another aspect of security is handled by Vulnerability Advisor (VA). VA is integrated seamlessly into the IBM Cloud Kubernetes Service, providing not only static image vulnerability scanning but also policy scanning based on ISO 27k, live container scanning, and package security scanning for known malware. The IBM Cloud Container Registry provides image signing, encryption at-rest and in-flight, and image deployment enforcement allowing you to define what can be deployed in your IBM Cloud Kubernetes Service clusters.

For a closer look at the IBM Cloud Kubernetes Service, see our video: “Advantages of Managed Kubernetes”

Discuss with our team

If you have questions or comments, engage our team via Slack by registering here. Join the discussion in the #questions channel on

Learn more about Kubernetes and containers

More from Announcements

Success and recognition of IBM offerings in G2 Summer Reports  

2 min read - IBM offerings were featured in over 1,365 unique G2 reports, earning over 230 Leader badges across various categories.   This recognition is important to showcase our leading products and also to provide the unbiased validation our buyers seek. According to the 2024 G2 Software Buyer Behavior Report, “When researching software, buyers are most likely to trust information from people with similar roles and challenges, and they value transparency above other factors.”  With over 90 million visitors each year and hosting more than 2.6…

Manage the routing of your observability log and event data 

4 min read - Comprehensive environments include many sources of observable data to be aggregated and then analyzed for infrastructure and app performance management. Connecting and aggregating the data sources to observability tools need to be flexible. Some use cases might require all data to be aggregated into one common location while others have narrowed scope. Optimizing where observability data is processed enables businesses to maximize insights while managing to cost, compliance and data residency objectives.  As announced on 29 March 2024, IBM Cloud® released its next-gen observability…

Unify and share data across Netezza and for new generative AI applications

3 min read - In today's data and AI-driven world, organizations are generating vast amounts of data from various sources. The ability to extract value from AI initiatives relies heavily on the availability and quality of an enterprise's underlying data. In order to unlock the full potential of data for AI, organizations must be able to effectively navigate their complex IT landscapes across the hybrid cloud.   At this year’s IBM Think conference in Boston, we announced the new capabilities of IBM, an open…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters