Scale your apps with a Kubernetes-based container service

IBM Cloud Container Service is a managed Kubernetes offering that delivers powerful tools, an intuitive user experience and built-in security for rapid delivery of applications that you can bind to cloud services related to Watson, IoT, DevOps and Data Analytics.

As a certified K8s provider, IBM Cloud Container Service provides intelligent scheduling, self-healing, horizontal scaling, service discovery and load balancing, automated rollouts and rollbacks, and secret and configuration management. This Kubernetes service also has advanced capabilities around simplified cluster management, container security and isolation policies, the ability to design your own cluster, and integrated operational tools for consistency in deployment.

Kubernetes logo

Use these step-by-step tutorials

Deploy a scalable web app on Kubernetes from scratch

Turn-Key Kubernetes with data visualization and analytics

Secure container images for continuous deployment to Kubernetes

Build that chatbot

With Kubernetes as your compute foundation, you can enable users to have natural conversations with your app by training Watson Assistant on key topic areas.

  • Build Twitter, Slack and other social platform bots to automatically interact with your followers.
  • Allow users to control your mobile app using natural language.
  • Enable your app to understand intent from a user’s words.
  • Create a chatbot to field most frequently asked questions.
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Stand it up with a USD 200 credit

Featured services

Watson Assistant

Use a natural language interface to automate interactions with your users.

Kubernetes Service

Build cloud-native apps or modernize existing apps.

Cloud Functions

Develop lightweight code that scales and executes on demand.

Watson IoT Platform

Communicate with and consume data from connected devices and gateways.

Watson Natural Language Understanding

Analyze text to extract metadata from content such as concepts, entities and more.

Watson Visual Recognition

Quickly and accurately tag, classify and train visual content using machine learning.

Get started today to claim your USD 200 credit