Looking to learn more about Kubernetes?
- Fully managed
at scale - Secure
clusters - Advanced
services - Intelligent
provisioning - Self-healing
containers - Logging and
monitoring
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 clusters
Highly secure environment for production workloads with built-in container-level security, including isolation policies, CIS-hardened infrastructure, and broad industry compliance (including PCI, HIPPA-ready, SOC1, SOC2, etc.).
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, as well as 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 to monitor and troubleshoot, define alerts, and design custom dashboards. Cluster level, 30-day retention, natural language processing, and fully centralized.
Key features of the IBM Cloud Kubernetes Service
Fully managed at
scale
Enterprise-proven managed Kubernetes service running over 14,000 production clusters – maintains a daily service volume of 250 billion on-demand forecast requests at The Weather Company, at .99999 percent. Enjoy continuous availability with HA Master-enabled, multi-zone clusters, across six regions and 35 data centers.
Secure
clusters
Highly secure environment for production workloads with built-in container-level security, including isolation policies, CIS-hardened infrastructure, and broad industry compliance (including PCI, HIPPA-ready, SOC1, SOC2, etc.).
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, as well as 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 to monitor and troubleshoot, define alerts, and design custom dashboards. Cluster level, 30-day retention, natural language processing, and fully centralized.
Flexible pricing
Variable pricing and auto-scaling to ensure you’re only charged for what you need
Flexible pricing
Variable pricing and auto-scaling to ensure
you’re only charged for what you need
Want to know about the 40+ services on our free tier plan?
See free services
- Create Kubernetes
clusters - Deploy a scalable
web application - Analyze logs and
monitor app health - Continuous
deployment
How to get started now
Create Kubernetes
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.
Deploy a scalable
web application
Learn how to scaffold a web application, run it locally in a container, and then deploy it to an IBM Cloud Kubernetes cluster. You’ll also learn to bind a custom domain, monitor the health of the environment, and scale.
Analyze logs and
monitor app health
This tutorial walks you through creating a cluster and configuring the Log Analysis and Monitoring services. 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
Learn how to set up a continuous integration and delivery pipeline for containerized apps running in Kubernetes. This covers the setup of source control, build, test and deploy stages, and adding integrations like security scanners and analytics.
How to get started now
Create Kubernetes
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.
Deploy a scalable
web application
Highly secure environment for production workloads with built-in container-level security, including isolation policies, CIS-hardened infrastructure, and broad industry compliance (including PCI, HIPPA-ready, SOC1, SOC2, etc.).
Analyze logs and
monitor app health
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.
Continuous
deployment
Containers are automatically scheduled and placed onto available compute hosts based on the requirements that you define, as well as the availability in each cluster.
Kubernetes certified
IBM’s commitment to developers and open-source projects – along with its early leadership role in the Cloud Native Computing Foundation (CNCF) – have made it an open-source pioneer from the beginning. IBM is building AI businesses can trust.
Case study
Case study
The Weather Company
When site traffic spikes during extreme weather events, it’s critical that scaling plans be in place to meet demands. That’s where migrating to IBM Cloud comes in.
100M
extreme weather pageviews
25B
daily on-demand forecasts
30M
normal pageviews
Expand your technical knowledge
Transform your understanding of container services and application development with these valuable learning tools
Expand your technical knowledge
Expand your technical knowledge
Transform your understanding of container services and application development with these valuable learning tools
Expand your technical knowledge
Get more out of IBM Cloud Kubernetes Service
Explore the vast product ecosystem to see which of hundreds of IBM Cloud products and services integrate with Kubernetes
Get more out of IBM Cloud Kubernetes Service
Istio
Connect, manage, and secure microservices at scale.
Log Analysis
with LogDNA
Easily aggregate and search application and server logs within a single platform.
Sysdig
Fully managed monitoring for administrators, devops teams, and developers.