🚀 Lecture 03–06: React⚡️ #Thunder Deep-dived into React Hooks & performance: ⚛️ useState & useEffect 🔄 Data fetching & cleanup 🧠 React.memo & useMemo 🎯 useRef & DOM methods 🚀 React + Vite deployment Thanks @rohit_negi9 & @CoderArmy #ReactJS #100DaysOfCode #LearnInPublic

📚Lecture01–02: React #Thunder⚡ Started my React journey! 🚀 Explored Virtual DOM, ReactDOM, CDN, createRoot(), JSX, expressions, fragments, components, composition, Props, destructuring, default Props & Children Prop. #ReactJS #100DaysOfCode

⚡️ #Day30–#Day35 of #Thunder 📚 Continued my Backend journey with System Design 🚀 Deep-dived into CDN architecture edge servers, caching, cache hit/miss, TTL, invalidation, origin servers & request routing. Learning how CDNs reduce latency, origin load & improve scalability.

🚀 Backend day 29 ⚡ #Thunder Learned about Elasticsearch & Bloom Filters. Explored how Elasticsearch makes searching faster and how Bloom Filters help avoid unnecessary database lookups. 🔍💻 #100DaysOfCode #SystemDesign #Backend #Elasticsearch #BloomFilter

🚀 Lecture 28⚡ #Thunder Learned about Hot Partitions & Redis. Explored how uneven traffic creates bottlenecks and how Redis, caching, replicas, and bucketing can help improve performance and scale systems efficiently. 💻🚀 Thanks @rohit_negi9 #100DaysOfCode #SystemDesign

🚀 Lecture 27 ⚡ #Thunder Learned about Hot Partitions & CAP Theorem. Explored how uneven data distribution can cause bottlenecks and how distributed systems balance Consistency, Availability & Partition Tolerance. 💻🚀 #100DaysOfCode #SystemDesign #Backend #CAPTheorem

🚀 Backend Day 22–26 ⚡ #Thunder Continued my GPT Backend journey and explored LLM API integration, system & database scaling, DNS, and consistent hashing. Learning how real-world systems handle scale and growing traffic! Thanks @CoderArmy & @rohit_negi9 #SystemDesign