From Provisioned to Ready: Tracking Application Health in My Kubernetes Platform

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In the previous posts, I built the first real platform flow: Application | v Platform Operator | +------ Deployment | +------ Service The platform could also handle updates. If I changed: spec: image: greeting-service:2.0.0 replicas: 3 port: containerPort: 9090 the existing Deployment and Service were reconciled to the new desired state. That worked well. But there was still one important problem. The platform could tell me: I created your Deployment.

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PlateMate — Dietary Safety & Allergen Intelligence Powered by TabPFN

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend I built PlateMate, a dietary safety intelligence platform designed for my close friend and roommate, Alex. Alex lives with two life-altering dietary restrictions: Strict Celiac Disease: Ingesting even 20 parts per million of gluten (a microscopic crumb from a shared toaster or frying oil) triggers an autoimmune attack that damages their small intestine. Peanut Anaphylaxis: Exposure to trace peanut proteins or cross-contact causes acute airway constriction requiring an emergency EpiPen. Dining out or ordering takeo

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Building InsightTrack with SerpApi for the SerpApi India Hackathon

A few weeks ago, I was looking at a page whose traffic had suddenly dropped. The analytics told me exactly what happened: Traffic was down. But then I had the question that analytics couldn't answer: Why? Did the page lose its Google ranking? My next step was usually pretty manual.

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How Much to Charge Clients for Travel Time

This article first appeared on Invoala. There isn't one universal number. The workable answer is that you charge travel time at your normal hourly rate whenever the trip is made specifically for one client and you can't do other paid work while you're in transit — and you use a reduced rate, commonly half, only for long stretches where you're just sitting in a seat. Your daily commute is not billable, and a trip you'd make anyway is not billable. Everything else comes down to a rate you choose in advance and write down before the job starts.

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I attack-tested my agent's seatbelt. Here's what survived.

A blocklist for destructive agent commands passed its own tests — then failed four bypasses I wrote myself. The fix isn't smarter parsing. Tested receipts inside. I wrote a seatbelt for my AI coding agent: a PreToolUse hook that inspects every Bash call before it runs and blocks the destructive ones. It passed its own test suite — five runs, five green.

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