Category: Amazon Elastic Kubernetes Service

Nearmap captures high-resolution aerial imagery across populated areas of the United States, Canada, Australia, and New Zealand several times a year, at resolutions as fine as 1.5 inches. More than 10,000 customers globally use these images to assess insurance portfolios, size solar arrays, and track construction sites. Since 2007, Nearmap has completed more than 35,000 […]

​​​​Organizations are moving beyond single-model AI toward multi-agent architectures. In these systems, agents offload intermediate results to files rather than carrying everything in the prompt, because a large prompt inflates cost and degrades quality. A model’s context window is finite, so files become working memory that persists after a session ends. In multi-agent systems, a […]

Machine learning (ML) models used for inference on Kubernetes are often several gigabytes in size. When these models are embedded in container images, images become oversized and pod scheduling slows. More critically, inference pods are inherently stateful. Model weights, tokenizer files, compiled GPU kernels, and runtime caches must persist across pod restarts, node failures, and […]

Modern containerized applications running on Kubernetes enable organizations to deploy read-heavy workloads—such as machine learning inference, data analytics, and High Performance Computing (HPC)—at unprecedented scale. However, when multiple pods on the same node need to access identical datasets, a performance challenge emerges. Each pod typically fetches files from external storage independently over the network. This […]

As users progress in their cloud journey, they increasingly need robust storage options that integrate natively with containers to help them increase operational efficiency, improve performance, and reduce costs. Our users are finding that using Amazon Elastic Kubernetes Service (Amazon EKS) meets this demand by using the Container Storage Interface (CSI) driver. In this post, […]

PingCAP is a global company focused on developing distributed, high-performance, and auto scaling relational databases. Its flagship product, TiDB, is a popular open source databases, and TiDB Cloud, a fully managed Database-as-a-Service (DBaaS) based on TiDB, delivers horizontal scalability, strong consistency, and high availability for high-performance applications. Many PingCAP customers run highly latency-sensitive workloads such […]

In the cloud-native landscape, Amazon Elastic Block Store (Amazon EBS) volumes serve as the backbone for persistent storage in containerized applications. As organizations scale their Kubernetes workloads on Amazon Elastic Kubernetes Service (Amazon EKS), they increasingly rely on EBS volumes to provide high-performance, durable storage for stateful applications such as databases, message queues, and data […]

Retrieval-Augmented Generation (RAG) is a technique that optimizes large language model (LLM) outputs by referencing authoritative knowledge bases outside of the model’s training data before generating responses. This addresses common limitations of traditional LLMs, such as outdated knowledge, hallucinated facts, and misinterpreted terminology. Organizations can implement RAG to enhance their generative AI applications with current, […]

Organizations are increasingly adopting a multi-account Amazon Web Services (AWS) strategy to achieve enhanced security, governance, and operational efficiency at scale. Implementing separate accounts for production and non-production environments enables enterprises to group workloads based on business purpose, apply distinct security postures by environments, restrict access to sensitive data, and streamline cost management. You can […]

Amazon S3 is the best place to build data lakes because of its durability, availability, scalability, and security. In 2023, we introduced Mountpoint for Amazon S3, an open source file client that allows Linux-based applications to access S3 objects through a file API. Shortly after, we took this one step further with the Mountpoint for […]