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@varbear shared a link, 4 weeks ago
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Discussion of the Benefits and Drawbacks of the Git Pre-Commit Hook

Pre-commit hooks catch secrets and fix formatting before bad stuff hits your repo. But if they’re clunky or slow, devs bail. Tools likePre-Commit,Husky, anddevenvare trying to fix that.devenvstands out—hooks are baked right into your Nix env, no extra glue scripts... read more  

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@kaptain shared a link, 4 weeks ago
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Debugging container image creation with a Dockerfile

Docker just made debugging Dockerfiles inVS Codefeel like real development. With the latest Docker extension and Docker Desktop update, you can now set breakpoints, step through builds with F10/F11, poke at variables, and mess with the container’s file system mid-build... read more  

Debugging container image creation with a Dockerfile
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@kaptain shared a link, 4 weeks ago
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Kubernetes Gateway API in action

The Kubernetes Gateway API leveled up - unifying North-South, East-West, and egress traffic with standard CRDs likeGRPCRoute,HTTPRoute, andReferenceGrant. In a Linkerd world, that means clean, declarative canary releases, granular egress control to outside APIs (say, Mistral AI), and clearer lines b.. read more  

Kubernetes Gateway API in action
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@kaptain shared a link, 4 weeks ago
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Bootstrapping Rancher’s RKE2 Kubernetes Cluster on a Podman VM with Cilium CNI and MetalLB LoadBalancer

Running RKE2 with Cilium and MetalLB in a lightweight Podman VM on macOS enables experimentation with Kubernetes. Unique network challenges require SSH port forwarding for service exposure... read more  

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@kaptain shared a link, 4 weeks ago
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How to manage EKS Pod Identities at scale using Argo CD and AWS ACK

AWS shows how to wire upArgo CDwithAWS Controllers for Kubernetes (ACK)to automateEKS Pod Identityfor IAM roles - GitOps-style. The catch? The Pod Identity API has a lag. So they bolt on apre-deployment validation jobto wait-and-confirm that the IAM role's actually bound before app pods come online... read more  

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@kaptain shared a link, 4 weeks ago
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Replaying massive data in a non-production environment using Pekko Streams and Kubernetes Pekko Cluster

DoubleVerify built a traffic replay tool that actually scales. It runs onPekko StreamsandPekko Cluster, pumping real production-like traffic into non-prod setups. Throttlenails the RPS with precision for functional tests.Distributed datasyncs stressful loads across cluster nodes without breaking a s.. read more  

Replaying massive data in a non-production environment using Pekko Streams and Kubernetes Pekko Cluster
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@kaptain shared a link, 4 weeks ago
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Exposing Kubernetes Services Without Cloud LoadBalancers: A Practical Guide

Bare-metal Kubernetes just got a cloud-style glow-up. By wiring upMetalLBin layer2 mode with theNGINX ingress controller, the setup exposesLoadBalancer-typeservices—no cloud provider in sight. MetalLB dishes out static, LAN-routable IPs. NGINX funnels external traffic to internalClusterIPservices th.. read more  

Exposing Kubernetes Services Without Cloud LoadBalancers: A Practical Guide
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@kaptain shared a link, 4 weeks ago
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Spotlight on Policy Working Group

The Kubernetes Policy Working Group got busy turning good intentions into real specs. They rolled out thePolicy Reports API, dropped best-practice docs worth reading, and helped steerValidatingAdmissionPolicyandMutatingAdmissionPolicytoward GA. Their work pulled inSIG Auth,SIG Security, and anyone e.. read more  

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@kaptain shared a link, 4 weeks ago
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7 Common Kubernetes Pitfalls (and How I Learned to Avoid Them)

Seven ways folks trip over Kubernetes - each more avoidable than the last. Top offenses: skippingresource requests/limits, forgettinghealth probes, trustingephemeral logsthat vanish when you need them. Reusing configs across dev and prod? Still a bad idea. Pushing off observability until it’s on fir.. read more  

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@kala shared a link, 4 weeks ago
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I regret building this $3000 Pi AI cluster

A 10-node Raspberry Pi 5 cluster built with16GB CM5 Lite modulestopped out at325 Gflops- then got lapped by an $8K x86 Framework PC cluster running4x faster. On the bright side? The Pi setup edged out in energy efficiency when pushed to thermal limits. It came with160 GB total RAM, but that didn’t h.. read more  

I regret building this $3000 Pi AI cluster
The "Nano Banana Pro" is an AI image generation and editing model. It is built on the Gemini 3.0 Pro reasoning engine. It is designed to create visuals from ideas. Nano Banana Pro plans scenes before rendering. This ensures high-quality results. It can generate text in multiple languages directly within the image.

The model offers advanced creative controls. Users can specify camera angles, lighting conditions, and depth of field. It has editing features, like "multi-image fusion". Up to 14 reference images can be combined. This maintains consistent branding, character identity, and style. Its "search grounding" capability uses real-time information from Google Search. This produces accurate infographics or diagrams.

The visuals are available in up to 4K resolution. They are suitable for social media posts to print materials. They are generated in seconds. Nano Banana Pro is available across the Google Gemini interface, Google Cloud for enterprise clients, and integrated into popular creative software like Adobe Photoshop.