Category: Amazon Elastic Kubernetes Service

Companies from different industries use data to help their Artificial Intelligence (AI) and Machine Learning (ML) systems make intelligent decisions. For ML systems to work well, it is crucial to make sure that the massive datasets used for training ML models are of the highest quality, minimizing noise that can contribute to less-than-optimal performance. Processing […]

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 […]

This blog covers performance metrics, optimizations, and configuration tuning specific to OSS Spark running on Amazon EKS. For customers using or considering Amazon EMR on EKS, refer to the service documentation to get started and this blog post for the latest performance benchmark. Performance is top of mind for customers running streaming, extract transform load […]

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 […]

Enterprises running critical applications in containers may require access to a persistent storage layer that extends beyond the lifetime of a container instance. A block storage solution such as Amazon Elastic Block Store (Amazon EBS) is a good fit due to its high performance, low latency, and persistence which ensures that data can be re-attached to […]

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 […]

Kubernetes is a scalable system that offers rapid and easy containerized application deployments for both stateless and long-running, stateful applications. Many Kubernetes applications require a storage system that integrates with the Kubernetes Container Storage Interface (CSI) to create file and block volumes, scale storage, take snapshots, and create clones. Amazon FSx for NetApp ONTAP supports […]

NRGene develops cutting-edge genomic analytics products that are reshaping agriculture worldwide. Among our customers are some of the biggest and most sophisticated companies in seed-development, food and beverages, paper, rubber, cannabis, and more. In the middle of 2020, NRGene joined a consortium of companies and academic institutions to build the best-in-class gene-editing prediction platform to […]

A large percentage of websites today rely on Content Management Systems (CMS) which provide content creators, who may have little to no experience in web development, with the ability to easily publish their content to a website for distribution to their end users. By far, the most popular CMS platform today is WordPress. More developers […]