302 lines
13 KiB
TypeScript
302 lines
13 KiB
TypeScript
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'use client'
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import Link from 'next/link'
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import { ArrowLeft, Clock, Zap, BookOpen } from 'lucide-react'
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import { motion } from 'framer-motion'
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const sections = [
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{
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chapter: 'Chapter 1',
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title: 'AWS Step Functions: The Foundation',
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period: '2022–2024',
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icon: '🏗️',
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highlights: [
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'Owned Distributed-Map end-to-end: design → production across 57+ regions',
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'Sub-100ms P99 latency, 20x burst handling',
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'Learned deployment alignment: frontend spec updates must sync with service deployments',
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'Built Checkpoint recovery: customers resume mid-workflow without re-runs',
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'Solved distributed edge cases: race conditions, concurrent updates, dedup',
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'Oncall mastery: CloudWatch dashboards, runbooks, production debugging'
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],
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keyLearning: 'Backward compatibility is invisible until it breaks silently. A missed spec change cascades across regions.'
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},
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{
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chapter: 'Chapter 2',
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title: 'RBC: Infrastructure as Code & Observability',
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period: 'Nov 2024 – May 2025',
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icon: '⚡',
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highlights: [
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'Problem: Unstable deployments with 500+ resource state files, API rate-limits, race conditions',
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'Solution: JFrog Artifactory backend + workspace prefixes, plan artifacts, -parallelism=5 throttle',
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'Result: Zero state corruption, zero pipeline blockage',
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'Problem: Configuration drift invisible for weeks, massive unreadable diffs',
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'Solution: Nightly terraform plan -refresh-only -detailed-exitcode → Slack webhook',
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'Result: Drift visibility from 3 weeks → <24 hours'
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],
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keyLearning: 'Terraform wins for things that barely change. For K8s resources that churn (pods, configmaps), you need a different tool—GitOps.'
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},
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{
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chapter: 'Chapter 3',
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title: 'Homelab: Building AWS from Scratch',
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period: 'May 2025 – Present',
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icon: '🚀',
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highlights: [
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'Question: How does LLM serving work at scale? Build it at home.',
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'4 bare-metal machines: 1 GPU node, 1 Dell PowerEdge, 2 mini-desktops',
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'Discovery: Powerline adapters killed etcd consensus. Ran ethernet to garage.',
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'Wildcard DNS via Cloudflare, HTTPS for all subdomains (cert-manager + Let\'s Encrypt)',
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'GitOps split: Terraform for Talos machine config, ArgoCD for K8s resources',
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'99.2% uptime with Talos Linux, Cilium CNI, Longhorn, PostgreSQL HA, Prometheus+Grafana+Loki'
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],
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keyLearning: 'Design infrastructure so AI can modify it easily. GitOps + immutable OS = no surprises.'
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},
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{
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chapter: 'Chapter 4',
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title: 'Poimen: AI Meets Workflows',
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period: 'Building',
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icon: '🤖',
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highlights: [
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'Insight: AI is powerful because of context, tool-calling, and memory.',
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'poimen-memory: Graph-RAG with wiki-link indexing, pgvector + OpenSearch hybrid search',
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'poimen-workflows: Natural language → executable Temporal workflows via reasoning model',
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'Activity Knowledge Base informs LLM about timeouts, retries, dependencies',
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'Generic state machine: JSON workflow spec + JSONPath parameter chaining',
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'60% latency reduction for LLM serving (vLLM INT4 quantization, custom Go gateway)'
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],
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keyLearning: 'Skill factory: each Temporal activity is independently refined. General-purpose workflow orchestration emerges.'
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}
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]
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const technologies = {
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'Infrastructure': ['Talos Linux', 'Kubernetes', 'Cilium CNI', 'Terraform', 'kustomize'],
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'Data': ['PostgreSQL + HA', 'pgvector', 'Kafka/Redpanda', 'MinIO', 'Longhorn'],
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'GitOps': ['ArgoCD', 'Forgejo', 'Docker-in-Docker'],
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'Identity': ['Authentik OIDC', 'RBAC', 'SOPS encrypted secrets', 'cert-manager'],
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'Observability': ['Prometheus', 'Grafana', 'Loki', 'Tempo', 'OpenTelemetry'],
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'AI/ML': ['vLLM', 'Ollama', 'TEI', 'KServe', 'Temporal', 'Qwen3-32B'],
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}
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const keyInsights = [
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{
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title: 'Deployment Alignment',
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description: 'When frontend consumes the latest API, you need backward-compat checks. A missed spec change breaks customers silently across all regions.',
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},
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{
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title: 'Infrastructure as Code Split',
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description: 'Terraform for things that rarely change (machine config). GitOps for things that churn (pods, configmaps). Different tools, different philosophies.',
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},
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{
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title: 'Network is Critical',
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description: 'Powerline adapters killed etcd consensus at 200ms latency. Ethernet cable to garage solved it. Hardware matters.',
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},
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{
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title: 'AI-Friendly Infra',
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description: 'Design systems so AI can modify them. Declarative configs + clear abstractions = easier for models to reason about.',
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},
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{
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title: 'Observability First',
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description: 'Drift detection <24hr. Prometheus + Grafana dashboards before you have problems. Not post-mortem tools.',
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},
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]
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export default function HomelabArticle() {
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return (
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<main className="min-h-screen bg-white dark:bg-gray-950">
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{/* Hero */}
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<section className="bg-gradient-to-br from-blue-50 to-purple-50 dark:from-gray-900 dark:to-gray-900 border-b border-gray-200 dark:border-gray-800">
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<div className="max-w-3xl mx-auto px-6 py-16">
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<Link
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href="/homelab"
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className="inline-flex items-center gap-2 text-blue-600 dark:text-blue-400 hover:underline mb-8"
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>
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<ArrowLeft size={16} />
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Back to Homelab
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</Link>
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<motion.div
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initial={{ opacity: 0, y: 20 }}
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animate={{ opacity: 1, y: 0 }}
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transition={{ duration: 0.6 }}
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>
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<h1 className="text-5xl font-bold text-gray-900 dark:text-white mb-4 leading-tight">
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Building AWS at Home:<br />A 3-Year Journey
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</h1>
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<p className="text-xl text-gray-600 dark:text-gray-400 mb-6">
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From Step Functions to LLM inference—how distributed systems knowledge compounds.
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</p>
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<div className="flex items-center gap-4 text-sm text-gray-600 dark:text-gray-400">
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<div className="flex items-center gap-1">
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<Clock size={16} />
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<span>12 min read</span>
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</div>
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<span>•</span>
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<span>May 2025</span>
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</div>
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</motion.div>
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</div>
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</section>
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{/* Main Content */}
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<article className="max-w-3xl mx-auto px-6 py-20">
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{/* Intro */}
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<motion.section
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initial={{ opacity: 0 }}
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whileInView={{ opacity: 1 }}
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viewport={{ once: true }}
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className="mb-16 prose prose-lg dark:prose-invert max-w-none"
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>
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<p className="text-lg text-gray-700 dark:text-gray-300 leading-relaxed mb-4">
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There's a difference between knowing how systems work in theory and building them in production. I've spent the last 3 years learning this difference the hard way—first at AWS, then at RBC, and now at home.
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</p>
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<p className="text-lg text-gray-700 dark:text-gray-300 leading-relaxed">
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This is the story of how I learned distributed systems by owning every layer: from workflow orchestration to hardware networking, from GitOps to AI agents.
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</p>
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</motion.section>
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{/* Chapters */}
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<div className="space-y-24">
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{sections.map((section, idx) => (
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<motion.section
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key={section.chapter}
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initial={{ opacity: 0, y: 40 }}
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whileInView={{ opacity: 1, y: 0 }}
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viewport={{ once: true }}
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transition={{ delay: idx * 0.1 }}
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className="border-l-4 border-blue-500 pl-8"
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>
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<div className="flex items-baseline gap-3 mb-4">
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<span className="text-4xl">{section.icon}</span>
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<div>
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<div className="text-sm font-semibold text-blue-600 dark:text-blue-400 uppercase tracking-wide">
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{section.chapter}
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</div>
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<h2 className="text-3xl font-bold text-gray-900 dark:text-white">
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{section.title}
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</h2>
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</div>
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</div>
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<div className="text-sm text-gray-600 dark:text-gray-400 mb-6 font-medium">
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{section.period}
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</div>
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{/* Highlights */}
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<ul className="space-y-3 mb-8">
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{section.highlights.map((highlight, i) => (
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<li key={i} className="flex gap-3 text-gray-700 dark:text-gray-300">
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<span className="text-blue-500 font-bold mt-0.5 flex-shrink-0">•</span>
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<span>{highlight}</span>
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</li>
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))}
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</ul>
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{/* Key Learning */}
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<div className="bg-blue-50 dark:bg-blue-900/30 border-l-4 border-blue-500 p-4 rounded-r">
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<div className="font-semibold text-blue-900 dark:text-blue-200 mb-1">Key Learning</div>
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<p className="text-blue-800 dark:text-blue-100 text-sm">
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{section.keyLearning}
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</p>
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</div>
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</motion.section>
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))}
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</div>
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{/* Key Insights */}
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<motion.section
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initial={{ opacity: 0, y: 40 }}
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whileInView={{ opacity: 1, y: 0 }}
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viewport={{ once: true }}
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className="mt-24 pt-16 border-t border-gray-200 dark:border-gray-800"
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>
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<div className="flex items-center gap-2 mb-8">
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<Zap size={24} className="text-yellow-500" />
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<h3 className="text-2xl font-bold text-gray-900 dark:text-white">
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Core Insights
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</h3>
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</div>
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<div className="grid grid-cols-1 md:grid-cols-2 gap-6">
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{keyInsights.map((insight, idx) => (
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<motion.div
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key={idx}
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initial={{ opacity: 0, y: 20 }}
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whileInView={{ opacity: 1, y: 0 }}
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viewport={{ once: true }}
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transition={{ delay: idx * 0.05 }}
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className="bg-gray-50 dark:bg-gray-900 rounded-lg p-6 border border-gray-200 dark:border-gray-800"
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>
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<h4 className="font-bold text-gray-900 dark:text-white mb-2">
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{insight.title}
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</h4>
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<p className="text-sm text-gray-600 dark:text-gray-400">
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{insight.description}
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</p>
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</motion.div>
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))}
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</div>
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</motion.section>
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{/* Tech Stack */}
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<motion.section
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initial={{ opacity: 0, y: 40 }}
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whileInView={{ opacity: 1, y: 0 }}
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viewport={{ once: true }}
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className="mt-24 pt-16 border-t border-gray-200 dark:border-gray-800"
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>
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<div className="flex items-center gap-2 mb-8">
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<BookOpen size={24} className="text-purple-500" />
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<h3 className="text-2xl font-bold text-gray-900 dark:text-white">
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Technologies Mastered
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</h3>
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</div>
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<div className="grid grid-cols-1 md:grid-cols-2 gap-8">
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{Object.entries(technologies).map(([category, techs]) => (
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<motion.div key={category}
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initial={{ opacity: 0 }}
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whileInView={{ opacity: 1 }}
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viewport={{ once: true }}
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>
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<h4 className="font-bold text-gray-900 dark:text-white mb-3">
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{category}
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</h4>
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<div className="flex flex-wrap gap-2">
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{techs.map((tech) => (
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<span
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key={tech}
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className="text-xs px-3 py-1.5 rounded-full bg-gradient-to-r from-blue-100 to-purple-100 dark:from-blue-900 dark:to-purple-900 text-gray-800 dark:text-gray-200 font-medium"
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>
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{tech}
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</span>
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))}
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</div>
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</motion.div>
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))}
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</div>
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</motion.section>
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{/* CTA */}
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<motion.section
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initial={{ opacity: 0, y: 40 }}
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whileInView={{ opacity: 1, y: 0 }}
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viewport={{ once: true }}
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className="mt-24 pt-16 border-t border-gray-200 dark:border-gray-800 text-center"
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>
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<h3 className="text-2xl font-bold text-gray-900 dark:text-white mb-4">
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Want the full details?
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</h3>
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<p className="text-gray-600 dark:text-gray-400 mb-6">
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Ask Poimen any technical question about the architecture, deployment strategies, or lessons learned.
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</p>
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<Link
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href="/#project-homelab"
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className="inline-block bg-blue-600 hover:bg-blue-700 text-white px-8 py-3 rounded-lg font-semibold transition"
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>
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Ask Poimen →
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</Link>
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</motion.section>
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</article>
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</main>
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)
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}
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