Streamline & Get More Out of Your Data with EMR on EKS - Impetus

Streamline & Get More Out of Your Data with EMR on EKS

Impetus helps you make a seamless and risk-free transition to EMR on EKS, accelerating your path to cost savings, enhanced performance, and simplified management through automatic provisioning, scaling, and performance optimization tools on EKS

Why Kubernetes for Data?

With Amazon EMR on Amazon EKS, you can share compute and memory resources across all of your applications and use a single set of Kubernetes tools to centrally monitor and manage your infrastructure.

So, you do more with less.


Simplify management

You get the same EMR benefits for Apache Spark on EKS that you get on EC2 today. This includes fully managed versions of Apache Spark 2.4 and 3.0, automatic provisioning, scaling, performance optimized runtime, and tools like EMR Studio for authoring jobs and an Apache Spark UI for debugging.

Reduce costs

With EMR on EKS, your compute resources can be shared between your Apache Spark applications and your other Kubernetes applications. Resources are allocated and removed on demand to eliminate over-provisioning or under-utilization of these resources, enabling you to lower costs as you only pay for the resources you use

Optimize performance

By running analytics applications on EKS, you can reuse existing EC2 instances in your shared Kubernetes cluster and avoid the startup time of creating a new cluster of EC2 instances dedicated for analytics. You can also get 3x faster performance running performance-optimized Spark with EMR on EKS compared to standard Apache Spark on EKS.

Our expertise

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

Why Impetus?

  • Strong experience in creating petabyte-scale data platforms, both on-cloud and on-prem

  • Ability to build complex data engineering infrastructure on the cloud

  • Product engineering mindset

  • Laying the foundation of data-as-a-service and analytics-as-a-service

  • Operationalizing AI/ML models at a massive scale 

  • Expertise in cost-optimized architectures and solutions 

  • A dedicated center of excellence for AWS

  • Flexible business arrangements for customers through Impetus Data & AI labs and D2E program with AWS

Our accelerators for fast transition and operationalization

Automated transformation of data warehouses, ETL, Hadoop, BI, and analytics workloads to AWS with zero business disruption.​



  • 4x faster transformation than traditional methods​
  • 2x cheaper than manual migration
  • Preserves 100% of current investment and business logic​​

Speed up unified data platform creation, quickly fueling diverse business use cases and overseeing its entire lifecycle.​​



  • Rapid data lake creation in a few clicks​
  • Scalable implementation with minimal configuration​​
  • Unified interface for data access and policy management
  • Intelligent storage tiering for cost optimization

Mitigate risk with AI-powered DevOps for enhanced productivity, resilience, and maturity, with unified views and predictive issue tracking.​



  • Up to 75% faster release cycles​
  • Up to 30% quicker debugging
  • Up to 60% automated incident resolution and routing​
  • Enhanced security and DevOps posture (Shift Left)​

Optimize cloud spend with AI-driven anomaly detection, get single-pane visibility for cost efficiency and actionable recommendations.​



  • Up to 40% cost reduction​
  • Rapid insights within hours of receiving cost data​
  • 50% faster identification of cost bottlenecks​
  • AI-powered insights on consumption and performance​

The winning partnership with AWS

  • Advanced Tier Consulting Partner

  • MAP (Migration Acceleration Program) Approved Partner

  • LeapLogic, Data Platform Accelerator, and DevOps services listed on AWS Marketplace

  • D2E Certified

  • Competencies – Travel & Hospitality, Data and Analytics, Migration, DevOps, Amazon MSK, Amazon Redshift, Amazon EMR, AWS Lambda, AWS Glue

  • Domain Experience – BFSI, Telecom, Manufacturing, Retail, Education, Travel & Hospitality, Healthcare, Education

Modernize Data Workloads on Amazon EKS with Impetus