Kubernetes

Technical terms
About 1 min read

An open-source orchestration platform that automates the deployment, scaling, and management of containerized applications.

Also known as
KubernetesK8sKubenetes

Detailed explanation

Kubernetes (K8s) is an open-source container orchestration platform developed by Google and managed by the CNCF. It automates the deployment, scaling, recovery, and load balancing of applications containerized with technologies like Docker. Its core features include autoscaling, which automatically scales instances up or down based on traffic, rolling updates for zero-downtime deployment, and self-healing to automatically revive failed containers. It is widely used for serving large-scale AI models, operating microservices, and deploying across multi-cloud environments. Managed services such as AWS EKS, Google GKE, and Azure AKS can reduce the operational burden.

Why it matters in tool selection

To stably serve AI models to multiple users, scaling based on traffic fluctuations and disaster recovery are necessary. Using tools that support Kubernetes-based deployment allows you to automatically adjust resources according to demand and perform zero-downtime updates. However, because operational complexity is high, it is recommended to also check for managed service support.

Key checkpoints for tool selection

  • Does it support GPU resource scheduling and autoscaling?
  • Are zero-downtime rolling deployments and automatic recovery possible?
  • Is it compatible with managed Kubernetes (EKS, GKE, AKS)?
  • Is our team's operational capability sufficient relative to the operational complexity?

Real-world use cases

If the usage of an image generation API spikes during the day, Kubernetes automatically scales up the GPU pods to match the request volume and scales them down during idle early morning hours. This prevents response delays and cuts costs without having to keep large servers running at all times.

Related terms

DockerMicroserviceCloudDevOps