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Posts tagged with kubernetes..
This overview lists and describes Open Source tools for Kubernetes administrators interested in leveraging AI for their everyday needs. They include K8sGPT (a CNCF project), Kubernetes ChatGPT bot by Robusta, kube-copilot, and a few kubectl plugins (such as kubectl-ai and kubectl-gpt).Learn about th..
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As the complexity of a Kubernetes cluster grows, managing resources such as CPU and memory becomes more challenging. Efficient pod scheduling is critical to ensure optimal resource utilization and enable a stable and responsive environment for applications to run in. In this blog, we will delve into the intricacies of pod scheduling, including optimization of resource allocation and balancing workloads.
Partitioning is a way to divide GPU resources into smaller slices. This allows Pods to be scheduled only on the memory/compute resources they actually need, thus increasing GPU utilization and reducing infrastructure costs in Kubernetes clusters.
FAUN is glad to announce a partnership with ContainerDay Security.
Securing and managing secrets in Kubernetes is a crucial aspect of maintaining the security and integrity of your clusters and apps. Here's how to protect secrets in your Kubernetes clusters.
The more prominent and complex Kubernetes deployments become, the more important it is to define strict access controls and tighter security. In this blog, Kasun has explained how RBAC can be implemented in Kubernetes clusters to restrict user permissions to relevant resources only.
Kubernetes is a powerful and popular tool for managing containerized applications in the cloud. It allows you to deploy and scale your applications with ease, providing a consistent and reliable platform for running your workloads. However, as with any complex system, it’s important to follow best p..
kind and K3s are Kubernetes tools that leverage containers to provide flexible and lightweight Kubernetes distributions. This article highlights the features of both tools and the subtle differences between them.
Running databases on Kubernetes has moved from experimentation to standard practice, driven by platform maturity, cost pressures, and AI/ML demands. According to the 2025 Data on Kubernetes survey, organizations are now focused on operational excellence, with cost optimization, storage performance, and AI workloads shaping the next phase.
