EMR Expertise
We helped multiple Fortune 500 customers on their path to modernization with Amazon EMR, a compute service well known for its security, scalability, high availability, and auto-scaling capabilities, guaranteeing that resources adjust dynamically in response to workload requirements.
Our experts introduced tailored self-service functions for autonomous task execution, streamlining the process of provisioning clusters and monitoring jobs, all while maintaining relevant process governance and controlling costs.
We also delivered integration with SageMaker to enable users to choose approved configurations for running ML workloads on EMR.
In one of our customer engagements –
We launch 200+ EMR clusters every day to run a variety of workloads
We perform elastic, highly available, and scalable designs with cost controls and charge-back configurations
500K+ workloads on transient EMR clusters across the year, which processes & enriches ~5TB data each day
EKS Expertise
Impetus teams heavily utilize AWS EKS clusters for scalability, supporting a wide range of Machine Learning Models, and ETL pipelines designed for various use cases and customers. Our experts have employed AWS EKS to harness GPU nodes, providing enhanced computational capabilities for data scientists. The provisioning process is fully automated using Infrastructure as Code (IAC) tools like AWS CloudFormation (CFN), and deployments are managed through Continuous Integration/Continuous Deployment (CI/CD) pipelines. We integrate with tools like Rancher to effectively address the operational and security challenges of managing multiple Kubernetes clusters.
In one of our customer engagements –
Running 1000+ node EKS clusters hosting 20+ Machine Learning Models and ETL pipelines across multiple environments, including Production.
Leveraging GPU nodes for computing-intensive workloads gives an edge to data scientists. All the provisioning is done in an automated way using IAC and deployed using CI/CD pipelines.
Integrated tools like Helm, GitHub Actions, Argo CD, and Rancher to address the operational and security challenges of managing multiple Kubernetes clusters. Also, we leveraged Kubecost to monitor costs specific to the operation of any Kubernetes cluster
