Join us

ContentUpdates and recent posts about k3d..
Link
@kaptain shared a link, 2 months ago
FAUN.dev()

v1.35: New level of efficiency with in-place Pod restart

Kubernetes 1.35, as you may know, introducedin-place Pod restarts(alpha). It's a real reset: all containers, init and sidecars included - without killing the Pod or kicking off a reschedule. Think restart without the cloud drama. Big win for workloads with heavy inter-container dependencies or massi.. read more  

Link
@kaptain shared a link, 2 months ago
FAUN.dev()

1.35: Enhanced Debugging with Versioned z-pages APIs

Kubernetes 1.35 makes a quiet-but-crucial upgrade: z-pages debugging endpoints now returnstructured, machine-readable JSON. That means tools- not just tired humans - can parse control plane state directly. The responses areversioned, backward-compatible, and tucked behind feature flags for now... read more  

Link
@kala shared a link, 2 months ago
FAUN.dev()

The 2026 Data Engineering Roadmap: Building Data Systems for the Agentic AI Era

Data engineering’s getting flipped.AI agentsandLLMsaren’t just tagging along anymore - they’re the main users now. That means engineers need to buildcontext-aware, machine-readable data systemsthat don’t just store info but actually make sense of it. Think:vector databases,knowledge graphs,semantic .. read more  

The 2026 Data Engineering Roadmap: Building Data Systems for the Agentic AI Era
Link
@kala shared a link, 2 months ago
FAUN.dev()

Streamlining Security Investigations with Agents

Slack broke down how it's threading AI into its product without torching user trust.Slack AIleans hard ontenant-specific data isolationandzero data retention- no leftover crumbs from LLM interactions. Instead of piping user data through someone else’s APIs, Slack runs LLMs onits own infrawhere it ca.. read more  

Streamlining Security Investigations with Agents
Link
@kala shared a link, 2 months ago
FAUN.dev()

2025: The year in LLMs

2025 was the year LLMs stopped just answering questions and started building things.Reasoning modelslike OpenAI’s o-series and Claude Code took over tool-driven workflows. Asynchronous coding agentsbroke out. These models didn’t just write code - they ran it, debugged it, then did it again. That loo.. read more  

2025: The year in LLMs
Link
@kala shared a link, 2 months ago
FAUN.dev()

Meet the ‘Mad Max’-Loving CEO Challenging Nvidia With a Renegade Chip

June Paik spurned a takeover offer from Meta Platforms last year. Now his South Korean company, FuriosaAI, has an AI chip entering mass production... read more  

Link
@kala shared a link, 2 months ago
FAUN.dev()

The Architects of AI Are TIME's 2025 Person of the Year

The Architects of AI drove the economy, shaped geopolitics, and changed the way we interact with the world... read more  

The Architects of AI Are TIME's 2025 Person of the Year
Link
@kala shared a link, 2 months ago
FAUN.dev()

My LLM coding workflow going into 2026

Anthropic saysClaude Code writes about 90% of its own code now. Why? Because devs are getting smart with AI. They're slicing problems into tight, testable chunks and running structured workflows that keep LLMs on a short leash. It's not just prompts anymore. Think context packaging, multi-agent setu.. read more  

My LLM coding workflow going into 2026
Link
@devopslinks shared a link, 2 months ago
FAUN.dev()

Race Condition in DynamoDB DNS System: Analyzing the AWS US-EAST-1 Outage

A long AWS smackdown in US-EAST-1 traced back to a ticking time bomb inDynamoDB’s automated DNS system. The flaw torpedoed EC2 networking, hobbled Lambda and Fargate, and dragged down theNetwork Load Balancer. Endpoints ghosted. Configs stalled. Everything snowballed. AWS says they’ll upgrade EC2 th.. read more  

Race Condition in DynamoDB DNS System: Analyzing the AWS US-EAST-1 Outage
Link
@devopslinks shared a link, 2 months ago
FAUN.dev()

You don’t need NAT gateway to deploy Lambda into VPC

AWS just made a big dent in NAT gateway bills. You can now runLambda in VPCs with IPv6 and an egress-only Internet gateway- no more always-on NAT draining your wallet. Keep the private subnets locked down. Still get outbound Internet access. IPv6 handles the traffic, slicing out the NAT middleman... read more  

You don’t need NAT gateway to deploy Lambda into VPC
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.