Amazon EKS customers

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.

Kubernetes is very complex software, and using Amazon EKS makes it simpler to install and work with Kubernetes than I had imagined possible.

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.

Amazon EKS is vital in our mission to offer accessible and affordable healthcare across the globe. By using EKS and EC2 Spot Instances, we have a lightning fast micro-service architecture where 300+ containerized applications are built and deployed in a highly decoupled manner. We now have unprecedented high availability across the globe while reducing the average time to bring a change to the stack from four weeks to a matter of hours. Our offering is focused on affordability and the cost reduction of 40% across our critical clusters is a key part of delivering this vision. The availability of Fargate for EKS will shift the focus from running and operating complex orchestration platforms to operating a secure and scalable health system. This maximizes our engineering effort, both in terms of time and money.

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.

EKS frees our team from having to gain deep knowledge in areas that don’t directly contribute to the success of our customers, that doesn’t bring additional value to the customers that we served. It’s worthwhile for us to delegate that ownership to the EKS team. It allow us to focus on delivering this microservices architecture to our customers, to focus on solving the problems they want us to solve, and delegate the rest to the EKS folks.

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.

EKS handles the headaches of managing the control plane and the VPC CNI driver, that comes out of the box, ready to go.

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.

By using Amazon EKS, you can significantly reduce the operation time and improve the productivity of application development. We also think EKS has advantages in terms of security and disaster recovery, and we plan to move everything to EKS in the future.

Over four years, SuperAwesome changed significantly. We went from running a handful of EC2 Instances in one region to hundreds in different regions and AWS accounts – from a few hundred of HTTP requests per minute to tens of thousands per second, from a few million analytics events per day to more than a billion, and from two Kubernetes clusters to more than twenty. Growth brought complexity. To keep things simple and manageable, we switched to Amazon Elastic Kubernetes Service (Amazon EKS). This allowed us to keep benefits from all the features of Kubernetes without the hassle of managing the clusters ourselves.

The business challenge was to have a baby monitor that is always connected, alerts in real time, gives insights to our customers about their babies while maintaining cost efficiency. The technical challenge was to manage 10,000s of streaming cameras, 100,000s of streaming customers and run deep learning at scale, in real time. Why EKS?: We have managed control plane with full AWS support, rolling updates, conformant and compatible with Kubernetes.

We handled billions of requests, helping our clients to perform better Analytics on the data generated by their clients when they interact with the mobile app. According to several pieces of research, analytics is a source of competitive advantage, and our clients know that. The smartest decision was to move to EKS. The main advantage of migrating the cluster was not having to take care of the Kubernetes control plane anymore and not to think about the scalability and reliability of these components, since now that responsibility is delegated to AWS. We’re able to handle much more traffic and perform analytics as never before.

One of the reasons for the popularity of Mercari app is that it has many features that utilize technology, such as “AI exhibition,” which uses a smartphone camera to shoot an item and automatically input information by estimating the product name and category. Analyzing hundreds of millions of images stored in cloud storage Amazon S3 on a cluster of Amazon EKS, high analysis accuracy is achieved. By using Amazon EKS, a managed service, the Kubernetes does not have to be manage and operate, and it is pursuing enormous machine learning speedily.

Having managed and maintained our own Kubernetes Clusters ourselves in the past, we are impressed by the ease and reliability that EKS provides. EKS allows us to start new Kubernetes clusters within minutes instead of hours, this allows our engineers to spin up new clusters for testing new features and with this provide a better tested and performing platform to our customers. Scaling has also never been easier: with EKS we can scale our Kubernetes clusters within 60 seconds to any size and react to spikes in traffic from our customers in near real time. Connected to the fact that we can leverage Spot Instances and other cost saving measures of AWS makes these scaling events a worry free situation for everybody.