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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 Why Distributed Systems Need Consensus Algorithms Like Raft Why Do Databases Deadlock and How Do They Resolve It Why and How Cache Locality Can Make Your Code Faster Why Eventual Consistency is Preferred in Distributed Systems Why does DNS use both UDP and TCP Should You Do a Master's My Honest Take Empathy Makes Great Engineers Unstoppable Good Mentors Build People, Not Just Skills Why You Should Always Have Back-Burner Projects Before You Push Back, Know What You're Standing On Be the One They Can Count On How Much Are People Willing to Bet on You How to Get Leadership to Say Yes to Your Project Don't Let Your Best Ideas Die in Silence Be the Person Everyone Wants to Work With The XY Problem and How to Avoid It The Startup Hiring Lie Nobody Talks About You Won't Be Promoted Unless You Ask It's Not Enough to be Right; Learn to be Heard No One Ships Great Software Alone You Don't Win by Proving Others Wrong Appreciate Generously; It Costs Nothing, But Builds Everything Your Soft Skills Aren't Soft at All Before you form an opinion, experience it Why You Need Both Curiosity and Action to Thrive A Daily Worklog Changed Everything How We Handle Mistakes Defines Us Own Your Mistakes Don't Wait. Step Up. Temporary Fixes Are Permanent Why Interviews Are Biased And What Sets You Apart Saying 'This isn't my problem' is actually the problem How to Write Effective OKRs Never Lose a Battle due to Miscommunication When In Doubt, Code It Out How to Follow Up Without Annoying People Lead Projects That Land, Execution Over Everything Abstract Thinking Will Define Your Next Decade We Engineers Suck at Task Estimation Shiny Obect Syndrome in Tech When to Change Jobs - The 3P Framework Paper Notes - On-demand Container Loading in AWS Lambda Paper Notes - SQL Has Problems. We Can Fix Them Pipe Syntax In SQL Paper Notes - NanoLog - A Nanosecond Scale Logging System Don't Wait, Learn - The Best Resource is Mythical Paper Notes - WTF - The Who to Follow Service at Twitter The Unexpected Benefit of Reading Random Engineering Articles Roadmaps Are Limiting Your Growth Stop Leaving Money on the Table - Negotiate Your Job Offer Never Bad-Mouth Your Past Employers Show You're a Culture Fit Quantify your resume, Know Your Numbers The Importance of Being Likeable in Interviews Questions to Ask Your Interviewer How to Build Trust Through Collaboration Do This, Once You Are Out of the Interview Cycle Stop Pitching Ideas, Start Pitching Projects Read Those Design Docs, Even the Ones That Seem Irrelevant The Best Engineering Lessons Happen During Outages Great Engineers Start Broad LLM Summaries are Ruining Your Learning Turn System Design Interviews into Discussions Title Inflation At Work, Find Your Own Projects 6 Simple Strategies to Cracking Any Tech Interview How to Remain Unblocked Solving the Knapsack Problem with Evolutionary Algorithms Generating Pseudorandom Numbers with LFSR Local vs Global Indexes in Partitioned Databases Partitioning Data - Range, Hash, and When to Use Them
Comfort and Competition - Know When to Switch Gears
Arpit Bhayani · 2024-10-02 · via Arpit Bhayani

Whether you are an IC or a leader, you will operate with one of two leadership styles - the one where comfort takes priority or where the key driving factor is competition.

Depending on your personality you will be naturally inclined towards one of the two, but doing it in excess is detrimental. Knowing how to strike the right balance is key to driving great outcomes.

The comfort-driven leadership benefits in research and exploration work where the output is uncertain. Given the ambiguity of the task, it is essential to create an environment where teams and peers feel secure, supported, and valued.

But, doing this in excess leads to complacency, and there have been many projects at big techs that keep getting delayed or are shipped with subpar quality because of this operating style.

That’s where the second style comes in which thrives on competition to drive excellence. It is all about pushing the teams to their limits by setting ambitious goals and fostering a sense of healthy rivalry (within or outside the team).

This approach can be incredibly effective in high-pressure situations, like taking the product from 0 to 1, during critical releases, or reacting to a competitor’s feature release. The adrenaline rush is what gets the team to put in twice the effort to ship in half the time.

This can yield impressive results in short bursts, but it is not sustainable in the long term. It gets things done quickly and can bring out the best in high-performing individuals. This almost always leads to burnout and attrition when the expected results and outcomes are not seen.

Introspect your leadership type and build an intuition to switch between these styles and maximize the outcome. Know which emotion to trigger, when, why, and how to achieve the desired outcome.

More importantly, know which team members respond to which motivators and tweak the style to bring out the best in each individual. But almost always, create a healthy environment where team members feel secure enough to take risks and experiment, but also motivated to push their limits and deliver excellence.

Leadership is not about extremes; it’s about leveraging the equilibrium.