What is IBM Cloud Kubernetes Service?
A managed Kubernetes offering to deliver powerful tools, an intuitive user experience and built-in security for rapid delivery of applications that you can bind to cloud services related to IBM Watson®, IoT, DevOps and data analytics. As a certified K8s provider, IBM Cloud Kubernetes Service provides intelligent scheduling, self-healing, horizontal scaling, service discovery and load balancing, automated rollouts and rollbacks, and secret and configuration management. The 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.
IBM Cloud Kubernetes Service features
Simplified cluster management
Provides an intuitive GUI experience for first-time users while supporting CLI and API options to integrate with your CI/CD tooling. Focus on business objectives, not managing open source projects. Fully managed K8s master nodes and user-controlled worker node management means you own the compute and IBM provides management capabilities.
Security and isolation is built in, not bolted on
Store Docker images in an encrypted and private registry, and include image signing with Docker Notary and image security enforcement, ensuring you control which images can be deployed. Integrated Vulnerability Advisor to introspect static Docker images and live containers for known vulnerabilities and configuration weaknesses. Worker-node isolation choices include bare metal.
Cloud and Watson services at your fingertips
Build rich customer experiences, with over 170 IBM and third-party services to enrich your apps including cognitive, weather data, persistent storage, analytics and access control to cluster resources, using identity and access management.
Learn how to build with Kubernetes + Watson
How customers use it
Deploy a scalable web application on Kubernetes
This tutorial walks you through how to scaffold a web application, run it locally in a container and then deploy it to an IBM Cloud Kubernetes cluster. In addition, you’ll learn how to bind a custom domain, monitor the health of the environment and scale.
Analyze logs and monitor the health of Kubernetes applications
This tutorial walks you through creating a cluster and configuring the Log Analysis and the Monitoring service. Then, you will deploy an application to the cluster, use Kibana to view and analyze logs, and use Grafana to view health and metrics.
Continuous deployment to Kubernetes
This tutorial walks you through setting up a continuous integration and delivery pipeline for containerized applications running in Kubernetes. This will cover the setup of source control, build, test and deploy stages, as well as adding integrations such as security scanners, notifications and analytics.
Create clusters
In this tutorial series, you can see how a fictional public relations firm uses Kubernetes capabilities to deploy a containerized app in the IBM Cloud. Leveraging IBM Watson Tone Analyzer, the PR firm analyzes its press releases and receives feedback.
