An open source container orchestration platform for managing containerized workloads and services
Kubernetes is an open source container orchestration platform for managing containerized workloads and services. When you deploy to Kubernetes, you have a framework to run distributed systems resiliently in a production environment. You can manage the containers that run the applications and ensure that there is no downtime because Kubernetes addresses issues like scaling requirements, failover, and deployment patterns.
The Operator Framework is an open source toolkit to manage Kubernetes native applications, called Operators, in an effective, automated, and scalable way.
Learn about our approach to open source, including where we focus our contributions in projects and communities, how we push innovation upstream, and what you should consider when embracing open source in your enterprise.
Learn to deploy and configure Red Hat OpenShift Lightspeed with IBM watsonx Runtime to enable generative AI chat for Kubernetes operations, troubleshooting, and insights.
An article series that describes key challenges in AI infrastructure: optimizing resource usage (particularly GPUs), reducing costs, and enabling scalability. This series introduces NVIDIA Multi-Instance GPU (MIG) technology, which enables more efficient utilization of GPUs resources for AI and ML workloads in Red Hat OpenShift AI and Kubernetes.
Scale your event-driven applications more elegantly with KEDA, a lightweight, open source solution that automatically scales your containers on Kubernetes.
Node.js developers, do you ever wonder what you need to know about Kubernetes? In this article, I cover 7 basic tasks Node.js developers need to understand to create cloud-native applications.
Deploy IBM Order Management System, Order Service Containers, Elasticsearch, and Cassandra on Minikube using Kubernetes operator for scalable order management.
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