Amazon Web Services has announced a significant breakthrough in container orchestration with Amazon Elastic Kubernetes Service (EKS) now supporting clusters with up to 100,000 nodes, a 10x increase from previous limits. This enhancement enables unprecedented scale for artificial intelligence and machine learning workloads, potentially supporting up to 1.6 million AWS Trainium chips or 800,000 NVIDIA GPUs in a single Kubernetes cluster.
For OpenYurt, Kubernetes at the edge means running workloads outside centralised data centres at locations like branch offices or IoT sites. This helps reduce latency, improve reliability when connectivity is limited, and enable tasks such as analytics, machine learning, and device management, all while maintaining consistency with upstream Kubernetes. As the CNCF notes in its Cloud Strategies and Edge Computing blog, deploying compute resources closer to the network edge can deliver high-speed connectivity, lower latency, and enhanced security.
The real value in multi-cloud operations lies in providing consistent operations across AWS, Azure, and Google Cloud Platform. "If I want to run something in Google and I want to run something in Amazon, if I have to learn new ways of doing things... it becomes more complex for the enterprise," he explained. Nutanix enables organizations to maintain the same operational model across all cloud environments, reducing training requirements and operational complexity.
A new platform named kubriX has been launched into the developer community, claiming to create a fully functional Internal Developer Platform (IDP) without extensive custom development. The platform, developed by contributors including developer advocate Artem Lajko, who has written an extensive post about it, integrates established tools such as Argo CD, Kargo, Backstage, and Keycloak into what its creators describe as a ready-to-use solution for teams seeking to implement a modern IDP.
Edge computing is evolving into a battleground where speed must be balanced with stringent security demands, exemplified by enterprises like Chick-fil-A leveraging Kubernetes for efficiency.
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One of the most frequent causes of failed deployments is an incorrect Kubernetes manifest. A typo in the YAML or a wrong API version can mean kubectl apply never succeeds or creates broken resources.
"We're addressing the number one complaint of Kubernetes, which is complexity," said Miska Kaipiainen, head of product for Lens at Mirantis. "Lens Prism puts the power of a site reliability engineer (SRE) inside every developer's IDE. It removes friction from day-to-day Kubernetes operations while maintaining enterprise-grade security and control."
Hierarchical Resource Quotas (HRQs) provide a robust framework for managing resource allocation in multi-tenant clusters, ensuring efficient resource usage and preventing contention.