Amazon EKS customers
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KOHO
KOHO is a Canadian fintech company that focuses on providing accessible and user-friendly financial services. They aim to empower Canadians to take control of their finances by offering a seamless platform for managing their money and life. KOHO adopted Amazon EKS Auto Mode to build a secure, compliant, standardized, vendor-agnostic, Kubernetes platform to run their digital banking and finance applications.
Amazon EKS Auto Mode has significantly improved our operations at KOHO. By offloading more of the operational burden to AWS and utilizing EKS Auto Mode with Spot, we've achieved operational cost savings of 30% while building a Kubernetes platform that meets our stringent banking security and compliance requirements and enables multi-region resilience. We have significantly improved scaling times and enhanced our operational resiliency under load and traffic spikes. Using EKS Auto Mode, we have been able to achieve high-performance, high-availability, and low-cost hosting.
Dan Gienow - Staff Developer, Infrastructure, KOHO -
Eloelo
Eloelo is India's leading multilingual live social entertainment platform, combining live streaming, social gaming, and creator-hosted events in a viral gaming app. To handle the real-time data processing needs of their over 85 million, and growing, community members, Eloelo uses Amazon EKS Auto Mode with Apache Flink. This platform powers their live game leaderboards and delivers personalized content recommendations while efficiently managing large-scale streaming data to maintain smooth performance for users.
Amazon EKS Auto Mode has been a game-changer for our Flink-based real-time data processing platform. As our workloads became more dynamic, we needed a solution that would eliminate the operational overhead of managing node groups, handling cluster upgrades, and maintaining scaling policies. EKS Auto Mode automates compute provisioning and optimizes instance selection based on real-time demand, while significantly reducing the time our team spends on cluster maintenance tasks. This has led to a 30–40% reduction in infrastructure costs and shifted our focus from infrastructure management to innovation. EKS Auto Mode provides us the ability to leverage open source solutions while still abstracting away complexity. Our platform now automatically adjusts compute resources based on real-time demand, improving operational efficiency and system reliability without manual intervention.
Ishan Rajendra - Senior Data Engineer, Eloelo -
Jaguar Land Rover
Jaguar Land Rover migrated (JLR) to Amazon EKS to support its 4,000-developer software factory. Using Amazon EKS and Karpenter, JLR reduced application build time by 95%, from 24 hours to 75 minutes. The migration improved scalability while maintaining costs, enabling faster software updates to customers and projecting up to 90% cost savings for fault-tolerant workloads.
Using Amazon EKS, there’s virtually no amount of code we can’t run and no number of developers we can’t support.
Ronan O’Brien - DevOps Engineer, JLR -
Riot Games
Riot Games migrated its League of Legends and VALORANT infrastructure to Amazon EKS, achieving $10M annual savings and 90% faster setup times for its 180M monthly users. The company now manages 246 clusters, standardizes 80% of infrastructure centrally, and reduced developer workload by 40%. Using EKS with AWS Local Zones and Outposts, Riot maintains its 35ms latency requirement while cutting game infrastructure launch time from years to 1-2 months, enabling expansion into South Africa, Southeast Asia, and South America.
Migrating to Amazon EKS has unlocked automatic scaling for us, which has been a big cost savings.
David Press - Senior Principal Engineer, Riot Games -
CAFU
CAFU, a Dubai-based vehicle services startup, modernized its stack from a monolithic architecture to a microservices-based implementation on Amazon EKS as part of its CAFU 2.0 initiative. This has resulted in the company doubling its engineering productivity and achieving a 50% reduction in latency for key endpoints, enhancing customer experience with faster loading times. Additionally, CAFU also achieved a 30% reduction in infrastructure costs and reduced service delivery time by 30% while expanding globally, enabling its lean team to prioritize innovation over infrastructure management. This is one of the few publicly available case studies on AWS Containers in the MENAT region.
Using AWS, we can innovate, optimize, and continually improve our systems with confidence.
Huan Yang - Chief Technology Officer, CAFU -
Flawless
Flawless is a fast-growing startup developing AI-powered filmmaking tools that help creators craft cinematic stories with authenticity, flexibility, and efficiency. The company uses Amazon EKS Hybrid Nodes to efficiently manage their hybrid GPU infrastructure and optimize their machine learning workloads.
Amazon EKS Hybrid Nodes has transformed how we manage our infrastructure by allowing us to integrate non-AWS GPU resources with our existing AWS infrastructure. As a startup, we need to optimize costs while maintaining access to powerful GPU resources like H100s. Amazon EKS Hybrid Nodes enables us to leverage resources through other providers, while managing everything centrally through AWS. We’ve been able to gain at least 5x speed in training times and reduce our operating cost of running experiments. This is achieved by better optimizing the resources we have and ensuring compute is available when we need it, so scaling in and out doesn't increase cold start times for services spinning up. Amazon EKS Hybrid Nodes has significantly simplified our hybrid cloud operations and improved our GPU utilization, all while maintaining the robust management capabilities of Amazon EKS.
James Morgan - Principal Platform Engineer, Flawless -
Sony Interactive Entertainment
Sony Interactive Entertainment (SIE) is a global leader in gaming and digital entertainment, serving over 116 million monthly active users worldwide through its PlayStation platform. When SIE faced increased demand for their gaming infrastructure usage, needing to support multiple console generations simultaneously, they decided to unify their fragmented infrastructure landscape. SIE implemented a unified platform on Amazon EKS and drove down operational costs by 60%, accelerated deployment speeds by 5x, and slashed time to market by 93%. The team migrated over 400 microservices without any downtime and boosted onboarding efficiency by 81%, cutting training time from 16 hours to just 3 hours.
Sony Interactive Entertainment, with support from Amazon EKS, has efficiently managed compute resources and provided developers their preferred tools. This has removed common obstacles, accelerated kernel and node updates, and enhanced the overall developer experience.
Swathi Somanchi - Senior Director of Engineering, SIE -
JFrog
JFrog is a global software delivery platform serving thousands of enterprise customers worldwide through 60+ clusters across 10+ regions. Facing complexity challenges with self-managed EC2 instances, JFrog adopted Amazon EKS and AWS Graviton processors to power their Artifactory platform. By migrating to this solution, JFrog achieved a 60% reduction in carbon footprint, cut costs by 20%, and improved performance across their operations.
Amazon EKS definitely helps us because we are multi-region and we're across the globe, having the stability and reliability of EKS, it allows us to put more focus on our customers than we would have to necessarily if we had to maintain everything ourselves with the infrastructure.
Carlos Traitel - Senior DevOps Engineer, JFrog -
Omi
Omi is an AI-powered 3D image-rendering startup serving over 600 customers across 17 countries. Facing scaling challenges for its GPU-intensive workloads, Omi adopted Amazon EKS and Karpenter to efficiently manage containerized applications and dynamically scale resources. By migrating to this solution, Omi slashed infrastructure costs by 70%, reduced photo render times from 5 minutes to 1.5 minutes, and gained the ability to scale from a single GPU instance to over 250 within minutes. The company also decreased developer overhead by 60% and can now run over 1,500 machines concurrently in one cluster, enabling the creation of tailored content for various marketing channels while maintaining cost-efficiency.
It’s very important to us to always build up our infrastructure to get excellent performance without sacrificing costs too much. Using Karpenter with EKS, we saw huge improvements, including in deployment and tuning, in less than 2 months.
Paul Borensztein - Cofounder, Omi -
Miro
Miro, a collaborative online whiteboard platform, supporting 70 million users worldwide, faced scalability and performance challenges as its user base grew. To address this, they migrated from self managed clusters to Amazon EKS, enabling efficient management of containerized applications. This shift improved deployment speed to minutes from weeks, seamless scalability from 100 to 1000 nodes on demand, and application reliability while reducing operational overhead upto 70% and costs by 80%. Ultimately, EKS helped Miro enhance real-time collaboration for teams globally.
All the features that Amazon EKS provides, including the managed control plane, made it superior compared with managing our own Kubernetes clusters.
Ilia Medvetchii - Senior Engineering Manager, Miro -
Crossuite
Crossuite, a Belgian health-tech scale-up startup, serves over 10,000 health professionals and 13 million patients with its cloud-based practice-management app. By migrating from on-premises infrastructure to Amazon EKS, it enhanced scalability and performance, achieving 99.9% uptime and reducing node spin-up time by 86%, significantly boosting operational efficiency. This shift resulted in an 18% year-over-year increase in user adoption and a 22% increase YoY in revenue growth, along with a 30% reduction in costs, allowing developers to focus more on innovation.
On AWS, there’s no service disruption with new releases. That brings us closer to 100% availability.
Tomas Madliak - Cloud Technology Consultant, Crossuite -
H2O.ai
H2O.ai, a leader in democratizing generative and predictive artificial intelligence (AI), rapidly provisions AI platforms that help businesses make better decisions. Their software as a service (SaaS) platform, H2O AI Managed Cloud, built on AWS, enables businesses to build models and gain insights from their data quickly and easily. To support their expanding customer base and meet their generative and predictive AI needs, H2O AI needed a scalable and robust infrastructure capable of exponential growth with minimal operational overhead. They assessed various Kubernetes distributions and chose Amazon Elastic Kubernetes Service (Amazon EKS) for its seamless integration with their Amazon Web Services (AWS) based infrastructure, providing a unified and scalable environment that aligns with their operational goals.
Amazon EKS has enabled us to achieve a single-tenant architecture, crucial for providing highly secure environments to our customers. Managing a self-hosted Kubernetes solution would have introduced significant complexity and maintenance challenges, which Amazon EKS helped us avoid. With Amazon EKS, we've gained scalable infrastructure that supports growth without increasing operational complexity. Currently, we have over 300 AI models running on Amazon EKS within our SaaS platform and have seen a 20% increase in the month-over-month user growth rate, highlighting our expanding customer base. Amazon EKS allows us to deploy changes, including infrastructure updates and new features, to all customers within hours—ensuring no downtime.
Asaf Oren - Director, Cloud Development at H2O.ai -
Mobileye Global Inc.
Mobileye leads the mobility revolution with its autonomous-driving and driver-assist technologies, offering world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis.
Kubernetes is very complex software, and using Amazon EKS makes it simpler to install and work with Kubernetes than I had imagined possible.
Ofer Eliassaf - Senior Director, Road Experience Management at Mobileye Global Inc. -
Snap Inc.
Snap Inc. is a camera and social media company empowering people to express themselves, live in the moment, learn about the world, and have fun together.
Deep dive in Snap Inc. 2019 re:Invent presentation “Amazon EKS under the hood”
Deep dive in Snap Inc. 2018 re:Invent presentation “Mastering Kubernetes on AWS”Snap uses Kubernetes to solve the problems of managing a large set of services, and EKS is helping them to run over 2 million transactions per second. Through EKS and ECR, Snap has realized a 77% reduction in developer effort for launching new microservices.
Karl D’Adamo – Sr. Director of Engineering, Snap -
HSBC
HSBC is an investment bank and financial services holding company. One of the world’s largest banking and financial services organizations, serving more than 40 million customers through their global businesses: Wealth and Personal Banking, Commercial Banking, and Global Banking and Markets.
Deep dive in HSBC 2019 re:Invent presentation “Running high-security workloads on Amazon EKS”We explore solutions with the real-life example of how HSBC's cloud services team built a secure multi-tenant platform for the company's application teams to run mission-critical containerized applications on Amazon EKS.
Dean Delamont – Solution Architect, HSBC Global Cloud Services -
GoDaddy
GoDaddy is empowering everyday entrepreneurs by providing all of the help and tools to succeed online. With 19 million customers worldwide, GoDaddy is the place people come to name their idea, build a professional website, attract customers and manage their work.
Deep dive in GoDaddy 2019 re:Invent presentation “Oversubscription at scale. Running tons of containers with Kubernetes”
Deep dive in GoDaddy video “Introducing Amazon EKS”Kubernetes is a wonderful infrastructure enabler. AWS and Amazon EKS make life so much easier to fulfill our mission to delight our customers. EKS is a great fit for GoDaddy and it Kubernetes needs.
Damian Silbergleith Cunniff – Senior Software Engineer & Ed Abrams, Senior Director of Software, GoDaddy -
Bird
Bird is a micromobility company that operated shared electric scooters in over 100 cities in Europe, the Middle East, and North America with 10 million rides in its first year of operation.
Deep dive in Bird 2019 re:Invent presentation “Running Kubernetes clusters at scale: Bird”
EKS handles the headaches of managing the control plane and the VPC CNI driver, that comes out of the box, ready to go.
Connor Poole – Principal Engineer, Bird -
Delivery Hero
Delivery Hero is a leading online food ordering and delivery marketplace. The company operates delivery fleets in 39 countries, transporting more than 1 million food orders a day.
Deep dive in Delivery Hero case study “Delivery Hero Saves 70% Running Kubernetes on Amazon EC2 Spot Instances”
Deep dive in Delivery Hero AWS Summit Berlin presentation “Kubernetes on Spot Instances”Our experience running Amazon EKS on Amazon EC2 Spot Instances was eye-opening. It has become a big cost saver and freed our time and energy to focus on business growth instead. Delivery Hero Saves 70% Running Kubernetes on Amazon EC2 Spot Instances.
Vojtech Vondra - Senior Director of Engineering, Logistics, Delivery Hero