AWS Storage Blog
Tag: Amazon EKS
KKCompany saves 93% on data storage by migrating music streaming services to AWS
KKCompany Technologies (KKCompany) is an AI multimedia technology group based in Taipei, with offices across Asia. Its flagship music streaming platform, KKBOX, serves over 12 million users worldwide. As its user base and music catalog rapidly grew, KKCompany faced significant challenges with its on-premises storage infrastructure. These included costly hardware scaling, constrained rack space, and […]
How Uniphore achieved 30% cost savings by modernizing Windows servers on AWS
Uniphore is the first built-for-scale, AI-native company that infuses AI into every part of the enterprise experience. Uniphore’s enterprise-class multimodal AI and data platform unifies all elements of voice, video, text, and data by using generative AI, Knowledge AI, Emotion AI, and workflow automation together as trusted co-pilot. Uniphore was running one of their core […]
Modernizing on-premises applications using Amazon Elastic Kubernetes Service and Amazon Elastic File System
Modern applications are expected to be available every minute of every day. Achieving the highest levels of availability requires more than setting up redundant hardware, networking, power, and other infrastructure components. You need to architect from the ground up to ensure availability in the event of natural disasters and technology failures. On-premises, this involves setting […]
Machine Learning with Kubeflow on Amazon EKS with Amazon EFS
Training Machine Learning models involves multiple steps, it gets more complex and time consuming when the size of the data set for training is in the range of 100s of GBs. Data Scientists run through large number of experiments and research which includes testing and training large number of models. Kubeflow provides various ML capabilities […]
Persistent storage for Kubernetes
Stateful applications rely on data being persisted and retrieved to run properly. When running stateful applications using Kubernetes, state needs to be persisted regardless of container, pod, or node crashes or terminations. This requires persistent storage, that is, storage that lives beyond the lifetime of the container, pod, or node. In this blog, we cover […]
Using high-performance storage for machine learning workloads on Kubernetes
Organizations are modernizing their applications by adopting containers and microservices-based architectures. Many customers are deploying high-performance workloads on containers to power microservices architecture, and require access to low latency and high throughput shared storage from these containers. Because containers are transient in nature, these long-running applications require data to be stored in durable storage. Amazon FSx […]