Amazon EKS
Amazon Elastic Kubernetes Service (Amazon EKS) is a managed Kubernetes service that makes it easy to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane or nodes. Amazon EKS runs upstream Kubernetes and is certified Kubernetes conformant, so you can use existing tools and plugins from partners and the Kubernetes community.
Capabilities
Amazon EKS Kubernetes Cluster Management
Unified capability for managing EKS clusters, node groups, Fargate profiles, and add-ons for platform engineers.
Run with NaftikoFeatures
AWS manages the Kubernetes control plane across multiple Availability Zones with automatic upgrades.
Automates cluster infrastructure management for compute, storage, and networking with machine learning optimization.
Connect on-premises and edge infrastructure to EKS clusters for unified management.
Run Kubernetes pods on serverless compute without managing EC2 node groups.
Automate provisioning and lifecycle management of EC2 nodes for Kubernetes clusters.
Deploy and manage Kubernetes clusters on customer-managed infrastructure including on-premises.
Manage operational software add-ons like VPC CNI, CoreDNS, and kube-proxy through EKS.
Use Cases
Scale production-grade AI deployments with GPU nodes for distributed training and inference.
Deploy and manage containerized microservices with Kubernetes-native service discovery and scaling.
Standardized Kubernetes environments combining open source with AWS managed services.
Unified Kubernetes management across AWS cloud and on-premises infrastructure.
Scalable batch processing and streaming data workloads using Spark, Flink, or Ray.
Integrations
Pull container images from ECR for Kubernetes workloads with native IAM authentication.
Manage Application and Network Load Balancers for Kubernetes Ingress resources.
Mount EFS file systems as Kubernetes persistent volumes for stateful applications.
Grant Kubernetes pods fine-grained IAM permissions using OIDC-based service account annotations.
Collect and analyze metrics, logs, and traces from EKS clusters and workloads.