What is IBM Cloud Kubernetes Service?

IBM Cloud™ Kubernetes Service is a managed container service for the rapid delivery of applications that can bind to advanced services like IBM Watson® and blockchain. 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.

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Key features of the IBM Cloud Kubernetes Service

Fully managed at scale

IBM Cloud — including IBM Watson® and IBM Blockchain Platform — runs on Kubernetes, enabling massive scale and workload diversity. Enjoy continuous availability with high-availability master-enabled, multi-zone clusters across 6 regions and 35 data centers.

Secure Kubernetes clusters

This highly secure environment for production workloads has built-in container-level security, including isolation policies, CIS-hardened infrastructure and broad industry compliance (including PCI, HIPPA-ready, SOC1, SOC2 and more).

Advanced services

Extend your app’s capabilities by integrating with advanced IBM services, such as AI, Watson and Blockchain, through an automated, standardized and secure architecture. This includes customer-managed Kubernetes secrets through IBM Cloud™ Key Protect.

Intelligent provisioning

Containers are automatically scheduled and placed onto available compute hosts, based on the requirements that you define and the availability in each cluster.

Self-healing containers

Configure a custom Kubernetes cluster that auto-scales and recovers containers, based on defined policies. Create health checks for critical components, such as containerd, kubelet, kube-proxy and calico, so that auto-recovery can trigger corrective action.

Logging and monitoring

Get operational visibility into Kubernetes-based applications, services and platforms. Advanced features help you monitor and troubleshoot, define alerts and design custom dashboards. Enjoy cluster-level, 30-day retention and natural-language processing with this fully centralized service.

Learn how to build with Kubernetes, Istio and Watson

How clients 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.

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Deploy a web app on Kubernetes architecture diagram

Analyze logs and monitor the health of Kubernetes application

This tutorial shows how the IBM Log Analysis with LogDNA service can be used to configure and access logs of a Kubernetes application that is deployed on IBM Cloud™. Here are the steps:

1. Deploy a Python application to a cluster provisioned on IBM Cloud Kubernetes Service.
2. Configure a LogDNA agent, generate different levels of application logs and access worker logs, pod logs or network logs.
3. Search, filter and visualize those logs through Log Analysis with LogDNA Web UI.
4. Set up the IBM Cloud Monitoring with Sysdig service and configure Sysdig agent to monitor the performance and health of your application and your IBM Cloud Kubernetes Service cluster.

Get started

Architecture diagram for analyzing logs and monitoring the health of Kubernetes applications

Continuous deployment to Kubernetes

This tutorial walks you through the process of setting up a continuous integration and delivery pipeline for containerized applications running on the IBM Cloud Kubernetes Service. Learn how to set up source control, then build, test and deploy the code to different deployment stages. Next, learn to add integrations to other services, like Slack notifications.

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workflow diagram of continuous deployment to Kubernetes

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 Watson™ Tone Analyzer, the PR firm analyzes its press releases and receives feedback.

Stand it up

Roadmap image for using Kubernetes to deploy a containerized app

Clients using IBM Cloud Kubernetes Service

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Think research

Empowering clinicians to provide fast and effective evidence-based care

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Eurobits Technologies

Transforming the financial landscape with robust, security-rich services on IBM Cloud

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The Weather Company

Migrating the world’s top weather web property to a highly secure, scalable global architecture in the IBM Cloud

DevOps toolchains

Combine IBM Cloud services with open source and third-party tools.

Expand your technical knowledge

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Understand the role of containers in cloud computing and how they figure into technologies like Docker, Kubernetes, Istio, VMs and Knative.

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Kubernetes: A complete guide

Everything you need to know about Kubernetes — a container orchestration tool that deploys, scales and manages containerized applications.

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Knative: A complete guide

In this guide, learn about Knative and how it can help complement your Kubernetes system.

Get started in minutes

Manage highly available apps inside Docker containers and IBM Cloud Kubernetes Service clusters on the IBM Cloud.