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Leading Indian EdTech Firm Reduces Cost by 35% with Cloud FinOps
ABOUT THE CUSTOMER

The client is a leading clinical research organization primarily focused on clinical trials and getting new treatments to patients faster and securely.

THE CHALLENGE |

Our client was incurring repeated and substantial costs related to their non-production environments, particularly related to EKS workloads. They wanted to optimize overall spent to achieve a minimum of 30% cost reduction. It was vital though that any cost optimization measures did not compromise the functionality or high availability of the workloads.

THE SOLUTION |

The cost optimization strategy implemented by CloudifyOps included

  • Rightsizing of resources with focus on EKS Worker Nodes. This involved evaluation and optimization of resources to match workload needs accurately
  • Finalizing reservation plans for Worker Nodes. We leveraged Reserved Instances and Spot Instances to optimize costs for worker nodes
  • Implementing of Karpenter, a Kubernetes-based auto scaling solution, and AWS node termination handler to optimize cluster scaling and leverage Spot Instances
BENEFITS DELIVERED |
  • 30%-50% cost savings from Reserved Instances compared to on-demand pricing
  • Increase in the average CPU and memory utilization across EKS worker nodes by 60-80%
  • 10% Potential cost reduction from rightsizing resources
  • Additional cost savings delivered by utilizing Spot Instances
  • 70%-90% estimated cost savings compared to on-demand pricing
  • Checking and deleting of all unused load balancers and network components
TECHNOLOGY STACK |

AWS DevOps, EC2, Observability platform, S3, EKS

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