惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

T
Tenable Blog
S
SegmentFault 最新的问题
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
博客园 - 聂微东
罗磊的独立博客
MongoDB | Blog
MongoDB | Blog
美团技术团队
Recorded Future
Recorded Future
Microsoft Security Blog
Microsoft Security Blog
博客园 - 叶小钗
P
Proofpoint News Feed
aimingoo的专栏
aimingoo的专栏
博客园_首页
宝玉的分享
宝玉的分享
C
Check Point Blog
爱范儿
爱范儿
MyScale Blog
MyScale Blog
Microsoft Azure Blog
Microsoft Azure Blog
The Register - Security
The Register - Security
U
Unit 42
T
Tailwind CSS Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
D
Docker
博客园 - Franky
博客园 - 【当耐特】
腾讯CDC
N
Netflix TechBlog - Medium
Jina AI
Jina AI
博客园 - 司徒正美
Last Week in AI
Last Week in AI
PCI Perspectives
PCI Perspectives
GbyAI
GbyAI
Security Archives - TechRepublic
Security Archives - TechRepublic
J
Java Code Geeks
Cloudbric
Cloudbric
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
Y
Y Combinator Blog
F
Full Disclosure
TaoSecurity Blog
TaoSecurity Blog
N
News and Events Feed by Topic
L
LINUX DO - 最新话题
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
小众软件
小众软件
O
OpenAI News
H
Hackread – Cybersecurity News, Data Breaches, AI and More
S
Security Affairs
Recent Announcements
Recent Announcements
Attack and Defense Labs
Attack and Defense Labs
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
S
Secure Thoughts

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 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 Comfort and Competition - Know When to Switch Gears 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
The Day I Accidentally Deleted Production
Arpit Bhayani · 2025-11-24 · via Arpit Bhayani

Back in 2015-16, I once accidentally deleted the “entire production” at Practo.

Slight exaggeration, but here’s what happened…

There was one EC2 server running the whole stack for one of the acquired companies. On a Sunday afternoon, while cleaning up unused servers from an AWS account, I deleted this EC2 by mistake, and there was no data backup.

The moment I realized (~4 hours later) what I had done, my heart dropped. Panic. Fear. A voice in my head saying: Maybe nobody will notice. Maybe just stay quiet.

I stayed quiet while the team tried to figure out who deleted the instance. When my manager discovered it was me, instead of getting angry, he spoke with me as usual and treated it like a normal mistake.

Thankfully, the data was not highly sensitive or mission critical, but it still should not have happened. Of course, after the incident, we added the necessary guardrails to ensure we do not find ourselves in a similar situation again.

That day, I learned something important: mistakes are inevitable, and the best way to handle them is to face them.

One bad moment should not and would not define your career. A single accident does not erase all your hard work. What matters is what you do next.

People remember:

  • Honesty
  • Accountability
  • How quickly you learn and recover

And I was trying to put mine under the carpet and hide it.

Hiding almost always makes things worse. It creates doubt and damages trust. Speaking up shows integrity. It shows others they can rely on you.

You are not the first person to make a massive mistake, and you will not be the last. We all have our stories. The key is to own it, fix what you can, and take one small lesson forward.

Fun fact: if you never touch production, you will never break production. But you will also never grow, never lead, and never build anything important.

If you want to build, you have to be willing to accept the times you break.