Join us

ContentUpdates and recent posts about k3d..
Link
@kala shared a link, 1 month, 3 weeks ago
FAUN.dev()

Agentic AI and Security

Agentic LLM apps come with a glaring security flaw: they can't tell the difference between data and code. That blind spot opens the door to prompt injection and similar attacks. The fix? Treat them like they're radioactive. Run sensitive tasks in containers. Break up agent workflows so they never ju.. read more  

Agentic AI and Security
Link
@devopslinks shared a link, 1 month, 3 weeks ago
FAUN.dev()

More Than DNS: The 14 hour AWS us-east-1 outage

AWS’s us-east-1 faceplanted for 14 hours after arace conditioninDynamoDBkicked off a DNS meltdown, taking down 140 services. EC2 buckled under acongestive collapse, overwhelmed by a backup in DropletWorkflow Manager queues. Meanwhile, NLB health checks kept firing blanks - tricked by stale network s.. read more  

More Than DNS: The 14 hour AWS us-east-1 outage
Link
@devopslinks shared a link, 1 month, 3 weeks ago
FAUN.dev()

How We Saved $500,000 Per Year by Rolling Our Own “S3”

Nanit ditched S3’s PutObject-heavy ingest path and built a customRust-based in-memory landing zone (N3). It cut ~$500K/year in storage ops. N3 grabs short-lived video chunks straight into RAM and only spills to S3 when it has to. Ordering stays tight thanks toSQS FIFO, and fallback kicks in clean wh.. read more  

How We Saved $500,000 Per Year by Rolling Our Own “S3”
Link
@devopslinks shared a link, 1 month, 3 weeks ago
FAUN.dev()

You already have a git server

A plain-oldgit repo on an SSH-accessible servercan double as a lean deployment rig. Drop in somegit hooks- like apost-receive- and every push can kick off static site builds or publish code on the spot. No extra tools. Just Git doing Git things. Turns basic Git infra into a no-frills CI/CD pipeline... read more  

News FAUN.dev() Team
@kala shared an update, 1 month, 3 weeks ago
FAUN.dev()

AWS Unveils Project Rainier: Massive AI Cluster with Trainium2 Chips

Amazon Web Services

AWS has launched Project Rainier, a massive AI compute cluster with nearly half a million Trainium2 chips, in collaboration with Anthropic to advance AI infrastructure and model development.

AWS Unveils Project Rainier: Massive AI Cluster with Trainium2 Chips
News FAUN.dev() Team
@devopslinks shared an update, 1 month, 3 weeks ago
FAUN.dev()

Amazon Apologizes for Major AWS Outage in US-EAST-1 Region

Amazon EC2 Amazon ELB Amazon Web Services

Amazon apologized for a major AWS outage in the Northern Virginia region, caused by a race condition in the DynamoDB DNS management system, affecting services like DynamoDB, Network Load Balancer, and EC2.

Amazon Apologizes for Major AWS Outage in US-EAST-1 Region
News FAUN.dev() Team Trending
@varbear shared an update, 1 month, 3 weeks ago
FAUN.dev()

AI Takes Over GitHub: TypeScript Tops the Charts as 36 Million New Developers Join the Platform

Docker TypeScript vLLM GitHub Copilot Python

In 2025, GitHub saw a surge in growth with AI advancements, as TypeScript overtook Python and JavaScript in popularity, fueled by the release of GitHub Copilot Free and a global developer expansion.

AI Takes Over GitHub: TypeScript Tops the Charts as 36 Million New Developers Join the Revolution
 Activity
@kala added a new tool vLLM , 1 month, 3 weeks ago.
 Activity
@varbear added a new tool TypeScript , 1 month, 3 weeks ago.
News FAUN.dev() Team
@kaptain shared an update, 1 month, 3 weeks ago
FAUN.dev()

Grafana Tempo 2.9 Supercharges Distributed Tracing with LLM Integration

Grafana Tempo

Grafana Tempo 2.9 debuts with MCP server support and TraceQL metrics sampling, enhancing data analysis and query efficiency.

Grafana Tempo 2.9 Supercharges Distributed Tracing with LLM Integration
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.