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Use cases
Balanced
Ideal for general-purpose applications requiring a well-rounded mix of CPU, RAM, and storage resources.
Additional storage
Suited for workloads that need expanded persistent storage capacity, such as databases or large file systems.
GPU
Designed for machine learning, AI, or graphics-intensive workloads that leverage GPU acceleration for faster processing.
RAM intensive
Best for applications needing large memory footprints, like in-memory databases or caching layers.
Data intensive
Optimized for high-throughput data processing tasks, such as big data analytics and ETL pipelines.
Compute intensive
Focused on CPU-heavy workloads that require high computational power, like simulations or batch processing.
Filters
Worker nodes
Estimation
To get an accurate cost estimate, start by configuring a cluster
Go to the Create tab and configure your cluster. The order summary updates in real time to show your estimated cost, giving you the most accurate pricing based on your selections.
Committed use
Committed use for full IBM Cloud access
With IBM Cloud pay-as-you-go with committed use, save up to 17% based on your usage commitment, while accessing the entire IBM Cloud catalog.
Explore
Compliance
- EU Supported
- HIPAA Enabled
Summary
IBM Cloud Kubernetes Service creates a cluster of compute hosts and deploys highly available containers. A Kubernetes cluster lets you securely manage the resources that you need to quickly deploy, update and scale applications.
Features
Native Kubernetes Experience
Use the tools and APIs you already know for a single, consistent experience, even when working across different cloud infrastructures.
Leverage Watson
Easily integrate cognitive solutions with a variety of Watson APIs to extend the power of your applications.
Secure Clusters
IBM provides security features to protect your cluster infrastructure, isolate your compute resources, and ensure security compliance in your container deployments.
Self-healing Containers
Configure a custom Kubernetes cluster that auto-scales and recovers containers based on defined policies.
Logging and Monitoring
Use the built-in logging and metrics service to monitor the performance of both your clusters and containers.
Intelligent Scheduling
Kubernetes automatically deploys containers on compute hosts according to the available resources across the cluster.
Tutorials and Documentation
See the 'View Docs' link for IBM Cloud Container Service documentation and tutorials on items like creating clusters and deploying apps into clusters.