Join us

ContentUpdates and recent posts about k3d..
Link
@kaptain shared a link, 1 month, 1 week ago
FAUN.dev()

How Airbnb Runs Distributed Databases on Kubernetes at Scale

Airbnb runs distributed databases across multiple Kubernetes clusters - each tied to its own AWS Availability Zone. That setup isolates failures down to individual pods and keeps the whole system highly available. They built a custom Kubernetes operator and leaned on EBS volumes with PVCs to smooth .. read more  

How Airbnb Runs Distributed Databases on Kubernetes at Scale
Link
@kaptain shared a link, 1 month, 1 week ago
FAUN.dev()

Azure Developer CLI: Azure Container Apps Dev-to-Prod Deployment with Layered Infrastructure

Azure Developer CLI v1.20.0 leveled up Container Apps. Build and push are now split from deploy, so you can finally "build once, deploy everywhere" and mean it. It adds layered infrastructure support, lets you share anAzure Container Registryacross environments, and handles resource dependency seque.. read more  

Azure Developer CLI: Azure Container Apps Dev-to-Prod Deployment with Layered Infrastructure
Link
@kaptain shared a link, 1 month, 1 week ago
FAUN.dev()

Zero-Trust Kubernetes: Enforcing Security & Multi-Tenancy with Custom Admission Webhooks

Tools likeOPA Gatekeeper,Kyverno, and custom webhooks slam the brakes on sketchy workloadsbeforethey ever spin up. These controllers aren’t just gatekeepers - they’re enforcers. They check pod configs, block unverified images, and apply live, scoped policies like tenant-awarenetwork isolationandreso.. read more  

Link
@kala shared a link, 1 month, 1 week ago
FAUN.dev()

You Should Write An Agent

Building LLM agents - essentially looping stateless models through tools - looks simple. Until it isn't. Peel back the layers, and you hit real architectural puzzles:context engineering, agent loops, sub-agent choreography, execution constraints... read more  

You Should Write An Agent
Link
@kala shared a link, 1 month, 1 week ago
FAUN.dev()

AI's Dial-Up Era

AI's reshaping jobs - but not evenly. Some industries will feel the squeeze faster than others. It all comes down to a race: productivity vs. demand. History's playbook? Think textiles, steel, autos. Automation boosted output. Jobs stuck around - as long as demand kept growing. Once markets topped o.. read more  

AI's Dial-Up Era
Link
@kala shared a link, 1 month, 1 week ago
FAUN.dev()

How I Use Every Claude Code Feature

Claude Code isn't just generating responses anymore - it's gearing up to run projects. The new direction turns it into a programmable, auditable agent runtime. Think custom hooks, restart logic, planning workflows, GitHub Actions, and subagent delegation tricks like the “Master-Clone” pattern. At th.. read more  

How I Use Every Claude Code Feature
Link
@kala shared a link, 1 month, 1 week ago
FAUN.dev()

AI Broke Interviews

AI has revolutionized technical interviews, blurring the line between genuine skill and cheating with perfect solutions and polished answers. In response, companies are shifting back to in-person interviews for real-time cognitive transparency, authenticity constraints, realistic collaboration signa.. read more  

Link
@devopslinks shared a link, 1 month, 1 week ago
FAUN.dev()

Why I Like Using Docker Compose in Production

A decade in, and this dev still rides with Docker Compose for production. Why? It just works. Clean deployments, solid uptime, same setup everywhere. No yak-shaving. It shines when you pair it with Git hooks for hands-off, zero-downtime deploys. No need to drag in Kubernetes unless you’re actually w.. read more  

Why I Like Using Docker Compose in Production
Link
@devopslinks shared a link, 1 month, 1 week ago
FAUN.dev()

Perfetto: Swiss Army Knife for Linux Client Tracing

Perfetto now pulls in mixed trace data -perfsamples, scheduler events, app-level instrumentation - and lines it all up on a single timeline. One view, no silos. It readstrace-cmd’s text format now, with smoother flame graphs, sharper bottom-up views, and SQL-powered filtering baked right into the UI.. read more  

Perfetto: Swiss Army Knife for Linux Client Tracing
Link
@devopslinks shared a link, 1 month, 1 week ago
FAUN.dev()

VMware Cloud Foundation – what’s actually going on?

Broadcom underwent significant changes post-VMware acquisition, with emphasis on subscription-based pricing and portfolio simplification. Prashant Shenoy claims VCF lowered prices by 50%, challenging industry norms about AI workloads on bare metal versus virtualized environments. Integration pointed.. 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.