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Arpit Bhayani

Temporal Primer - Building Long-Running Systems What Matters in Production RAG Structure of Every LLM Chat How LLMs Really Work Your Monolith Is Already A Distributed System Databases Were Not Designed For This BM25 JOIN Algorithms Venting at Work Comes at a Reputation Cost Why Half Your Skills Expire Every Few Years Multi-Paxos - Consensus in Distributed Databases MySQL Replication Internals Bloom Filters When You Increase Kafka Partitions Product Quantization The Q, K, V Matrices The Day I Accidentally Deleted Production How LLM Inference Works What are Blocking Queues and Why We Need Them Heartbeats in Distributed Systems How Writes Work in Apache Cassandra Redis Replication Internals How to Handle Arrogant Colleagues at Work How Does a CDN Handle Content Replication You Can't Fix Everything on Day One When Emotions Spill Over at Work Why gRPC Uses HTTP2 Meetings With No Agenda Are a Waste of Time Career Longevity Beats Constant Job Hopping Stay Relevant at Higher Salary Levels
Shiny Obect Syndrome in Tech
Arpit Bhayani · 2024-12-10 · via Arpit Bhayani

With the tech moving and evolving so fast, every few years, evaluate the work you are doing vs what the world is doing. Do not let the gap widen.

Ask yourself if your current projects are building skills or knowledge that align with where the world is moving. Are you solving problems that matter, or are you stuck in areas becoming less relevant? Staying proactive in bridging these gaps will keep you relevant.

This does not mean you keep switching domains; yesterday you were doing web3, today you picked AI, and tomorrow you jump to Quantum Computing.

Never switch your domain due to hype; always make an informed decision considering your aspirations and more importantly, your abilities. Switch to something you can do well but only when the field is stable enough or you have a high appetite for risk.

Remember, in the long run, we all are optimizing for impact, financial reward, and longevity of our careers.