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.
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
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
How We Bring Value – Our Case Studies
Healthcare
Cloud Native Application
Logistics & Transportation
Cloud Native Application
eCommerce
Cloud Native Application
Finance
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