Updates and recent posts about k3d..

Posts
Description

Activity

@ishanupadhyay started using tool Grafana Loki , 2 days, 5 hours ago.

Activity

@ishanupadhyay started using tool Grafana , 2 days, 5 hours ago.

Activity

@ishanupadhyay started using tool GitHub Actions , 2 days, 5 hours ago.

Activity

@ishanupadhyay started using tool Flask , 2 days, 5 hours ago.

Activity

@ishanupadhyay started using tool FastMCP , 2 days, 5 hours ago.

Activity

@ishanupadhyay started using tool Docker , 2 days, 5 hours ago.

Activity

@ishanupadhyay started using tool Argo CD , 2 days, 5 hours ago.

Activity

@ishanupadhyay started using tool Amazon Web Services , 2 days, 5 hours ago.

News FAUN.dev() Team Trending

@kala shared an update, 2 days, 7 hours ago

FAUN.dev()

NanoClaw + Docker Sandboxes: Secure Agent Execution Without the Overhead

#Docker ... #Isolati... #MicroVM #docker #NanoCla...

NanoClaw integrates with Docker Sandboxes to enhance AI agent security through strong isolation and transparency. This collaboration focuses on enabling secure and autonomous operations for AI agents within enterprise environments.

Link

@varbear shared a link, 2 days, 8 hours ago

FAUN.dev()

The real cost of random I/O

Therandom_page_costwas introduced ~25 years ago, and its default value has remained at 4.0 since then. Recent experiments suggest that the actual cost of reading a random page may be significantly higher than the default value, especially on SSDs. Lowering therandom_page_costmay not always be the be.. read more

k3d is an open-source utility designed to simplify running Kubernetes locally by wrapping K3s (Rancher’s lightweight Kubernetes distribution) inside Docker containers. Instead of creating virtual machines, k3d uses Docker as the execution layer, allowing developers to spin up multi-node Kubernetes clusters in seconds using minimal system resources.

k3d is especially popular for local development, CI pipelines, demos, and testing Kubernetes-native applications. It supports advanced setups such as multi-node clusters, load balancers, custom container registries, port mappings, and volume mounts, while remaining easy to tear down and recreate.

Because it uses K3s, k3d inherits a simplified control plane, bundled components, and reduced memory footprint compared to full Kubernetes distributions. This makes it ideal for developers who want a realistic Kubernetes environment without the overhead of tools like Minikube or full VM-based clusters.

k3d integrates cleanly with common Kubernetes workflows and tools such as kubectl, Helm, Skaffold, and Argo CD. It is frequently used to validate manifests, test Helm charts, and simulate production-like environments locally before deploying to cloud or on-prem clusters.