Amazon Elastic Kubernetes Service (Amazon EKS)

Simplify starting, running, and scaling Kubernetes clusters

Amazon Elastic Kubernetes Service (Amazon EKS) is a managed Kubernetes service on Amazon Web Services (AWS). Kubernetes is an open-source system for automating the deployment, scaling, and management of containerized applications. Amazon EKS is certified Kubernetes-conformant, ensuring compatibility with existing applications that run on upstream Kubernetes. Amazon EKS seamlessly integrates with other AWS services, like Amazon CloudWatch, Auto Scaling Groups, and IAM for comprehensive monitoring, elastic scaling, and load balancing of your containerized deployments.

Amazon EKS Benefits

Key Benefits of Amazon EKS

Amazon EKS helps you automate security, scale efficiently, and reduce costs with efficient resource provisioning.

Networking and Security

EKS simplifies security for Kubernetes clusters with advanced features and integrations, like IAM RBAC, EKS Pod Security Group, AWS Cloud Map and App Mesh

Compliance

Complies with multiple compliance programs, such as SOC, PCI, ISO, FedRAMP-Moderate, IRAP, C5, K-ISMS, ENS High, OSPAR, HITRUST CSF, and HIPAA

Load Balancing

Supports Elastic Load Balancing, including Application Load Balancer (ALB) and Network Load Balancer (NLB) as ingress controllers for Kubernetes clusters

Serverless Compute

Supports AWS Fargate enabling serverless compute. No need to provision and manage servers, pay only what you use, and be secure with application isolation

Advanced Workload Support

Get optimized Amazon Machine Image (AMI) with NVIDIA drivers for GPU-enabled EC2 instances; suitable for advanced workloads, like ML, DL, HPC, and video transcoding

Open-Source Compatibility

Fully compatible with Kubernetes community tools and supports add-ons like CoreDNS to create a cluster DNS service, Kubernetes Dashboard UI, and kubectl CLI tool

Enhance Your Infrastructure Capabilities with Amazon EKS Today

EKS APPLICATION AREAS

Amazon EKS Use Cases

Hybrid Deployments

Run applications consistently across on-premises and cloud environments, ensuring seamless operations

Machine Learning

Utilize GPU-enabled instances for ML and DL workloads, boosting performance and scalability

Microservices

Efficiently manage and scale microservices architecture, improving application resilience

Batch Processing

Handle large-scale batch processing workloads with ease and efficiency.

CI/CD Pipelines

Streamline your continuous integration and continuous deployment processes

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