Tag: Kubernetes

For many stateful containerized applications, such as those using Kubernetes orchestration, each stateful pod (the smallest deployable container object) may require dedicated persistent storage. A block storage solution is a good fit due to its high performance, low latency, and persistence attributes. If a compute instance has more compute resources to spare, you can only […]

Building and testing software is a resource-intensive operation that usually involves a fleet of very powerful servers waiting in the wings for build jobs. With the rise of cloud native continuous integration/continuous development (CI/CD) systems on Kubernetes (i.e., Tekton, Jenkins X), we’re seeing a shift from the large (and often over-provisioned) static fleet of build […]

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 […]

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 […]

From time to time the AWS Storage Blog will point you to storage related blog posts from other AWS blog channels that we think you will find interesting or helpful for your storage use cases. We wanted to share a post from the Open Source Blog that highlights a walk-through of using Amazon FSx for Lustre […]