Our service is designed to build and manage enterprise-level, Generative-AI ready platforms on EKS, optimized for both performance and cost. We handle infrastructure using EKS and microservices, reducing the complexity of developing and deploying scalable enterprise platforms. Our environments are tailored to meet specific needs, ensuring security and compliance from the start.

Clusters are managed using Terraform/Infrastructure as Code (IaC), with configurations stored in an S3 bucket and your version control repository. This approach standardizes the infrastructure, making it easier to manage and upgrade. The upgrade process involves automated checks and resolutions for Kubernetes API deprecations, step-by-step control plane upgrades, and addon updates to ensure smooth transitions with minimal disruptions.

We deploy clusters using Terraform within your infrastructure for efficient setup. Access to clusters is managed through short-lived SSO tokens using IAM Identity Center or by setting up IAM accounts as needed. To reduce latency and increase throughput, we configure multiple node groups and optimize network costs with single AZ configurations.

Our approach to managing a large number of clusters (500+) involves extensive standardization through IaC, with upgrades handled incrementally to minimize issues. We import all cluster resources into Terraform, providing boolean flags for customization based on specific requirements. For monitoring and reporting, we generate detailed Excel reports and integrate with observability tools like Datadog and Splunk. We adhere to AWS IAM standards for roles and responsibilities, ensuring transparent access and shared management of Kubernetes environments.