The top six use cases for Kubernetes

Kubernetes, the most popular open-source container orchestration technology, is a milestone in cloud-native technologies

Kubernetes builds on containers, which are essential for modern microservices, cloud-native applications, and DevOps workflows

Kubernetes uses containers, pods, and nodes Multiple Linux containers can run in a pod for scaling and failure tolerance Kubernetes clusters abstract physical hardware infrastructure and run pods on nodes

Kubernetes’ declarative, API-driven architecture has freed DevOps and other teams from manual processes to work more independently and efficiently

Top public cloud providers like IBM, AWS, Azure, and Google support Kubernetes, an open-source technology Kubernetes may run on Linux or Windows-based bare metal servers and VMs in private cloud, hybrid cloud, and edge environments

Kubernetes uses horizontal pod autoscaling (HPA) to scale the number of pod replicas (self-healing clones) for a deployment to load balance CPU use and custom metrics

Kubernetes can automate health checks and resource planning in AI and ML predictive maintenance workflows Kubernetes can expand ML workloads to meet user needs, manage resources, and reduce expenses