Containers

Mike Stefaniak

Author: Mike Stefaniak

Mike Stefaniak is a Principal Product Manager at Amazon Web Services focusing on all things Kubernetes and delivering features that help customers accelerate their modernization journey on AWS.

AWS and Kubecost collaborate to deliver cost monitoring for EKS customers

AWS and Kubecost collaborate to deliver cost monitoring for EKS customers

This blog post was co-written by Linh Lam, Solution Architect, Kubecost Introduction Today, we are happy to announce cost monitoring for Amazon Elastic Kubernetes Service (Amazon EKS) in collaboration with Kubecost. As customers modernize their applications and deploy workloads using Amazon EKS, they gain efficiencies by consolidating the compute resources required to run their applications. However, […]

Introducing Amazon EFS CSI dynamic provisioning

As companies move more of their workloads to Kubernetes, they are increasingly deploying applications that need a way to share or persist data or state outside the container. Kubernetes addresses this need by exposing block and file storage systems to containerized workloads via the Container Storage Interface (CSI). Amazon Elastic Kubernetes Service (Amazon EKS) currently […]

Introducing security groups for pods

Security groups, acting as instance level network firewalls, are among the most important and commonly used building blocks in any AWS cloud deployment. It came as no surprise to us that integrating security groups with Kubernetes pods emerged as one of the most highly requested Amazon Elastic Kubernetes Service (Amazon EKS) features, as seen on […]

Fault tolerant distributed machine learning training with the TorchElastic Controller for Kubernetes

Introduction Kubernetes enables machine learning teams to run training jobs distributed across fleets of powerful GPU instances like Amazon EC2 P3, reducing training time from days to hours. However, distributed training comes with limitations compared to the more traditional microservice based applications typically associated with Kubernetes. Distributed training jobs are not fault tolerant, and a […]