Beginner-friendly AWS Cloud Project Ideas: 💡

As a Principal Backend Engineer with over 12 years of experience, I can tell you quite certainly that if you're still getting rejections in system design interviews after good efforts, I think your fundamentals are not strong... Dedicate 2-3 months to mastering these design fundamentals, then practice designing a few systems(and do plenty of mock interviews). Scaling & Architecture ↬ CDN ↬ Caching ↬ Sharding ↬ Queueing ↬ Replication ↬ Partitioning ↬ API Gateway ↬ Rate Limiting ↬ CAP Theorem ↬ Microservices ↬ Load Balancing ↬ Fault Tolerance ↬ Database Scaling ↬ Service Discovery ↬ Consistency Models ↬ Eventual Consistency ↬ Distributed Transactions ↬ Monolith vs Microservices ↬ Leader Election Databases & Storage ↬ Leader-Follower Replication ↬ WAL (Write Ahead Log) ↬ Asynchronous Processing ↬ Transaction Isolation ↬ Read/Write Patterns ↬ Consistent Hashing ↬ Redis/Memcached ↬ Backup & Restore ↬ Hot/Cold Storage ↬ Data Partitioning ↬ Object Storage ↬ SQL vs NoSQL ↬ Data Retention ↬ Data Modeling ↬ OLAP vs OLTP ↬ ACID & BASE ↬ Bloom Filters ↬ File Systems ↬ S3 Basics ↬ B Trees ↬ Indexing Communication & APIs ↬ JWT ↬ CORS ↬ OAuth ↬ Throttling ↬ Serialization ↬ API Security ↬ Long Polling ↬ WebSockets ↬ API Gateway ↬ Idempotency ↬ Service Mesh ↬ Retry Patterns ↬ REST vs gRPC ↬ API Versioning ↬ Circuit Breaker ↬ API Rate Limits ↬ Fan-out/Fan-in ↬ Protocol Buffers ↬ Message Queues ↬ Dead Letter Queue Reliability & Observability ↬ Metrics ↬ Alerting ↬ Failover ↬ Logging ↬ Rollbacks ↬ Monitoring ↬ Heartbeats ↬ Retry Logic ↬ Autoscaling ↬ SLO/SLI/SLA ↬ Load Testing ↬ Error Budgets ↬ Health Checks ↬ Circuit Breaker ↬ Incident Response ↬ Chaos Engineering ↬ Distributed Tracing ↬ Canary Deployments ↬ Graceful Degradation ↬ Blue-Green Deployment

When you realise that both employee and employer contributions to the PF will be deducted from your CTC.

Here’s the AI tech you should know in 2026: - AdaL - AI coding agent that easily switches between Opus, Gemini and Codex - OpenClaw - run AI agents that do stuff on your laptop - n8n - run AI workflows in the cloud - LangChain - AI agent building framework - Pinecone / Milvus, created by Zilliz - vector databases for RAG - Notebook LM - summarize and synthesize any complex document - AgentBricks - build AI agents easily on Databricks platform - AdalFlow - prompt optimization framework that is better than dspy - Claude Code - our loving lord and savior who will take us to the promised land - Nano Banana Pro - make the best images that bring you tears What else would you include?

𝗪𝗵𝗮𝘁 𝗜 𝗳𝗶𝘅𝗲𝗱 𝘁𝗵𝗮𝘁 𝘄𝗲𝗲𝗸: Implemented a "Lambda Circuit Breaker" pattern: - Max concurrency: 10 per function - DLQ on every async Lambda - SNS alert if DLQ receives >5 messages in 5 min - Auto-disable function if spend exceeds threshold

𝗪𝗵𝗮𝘁 𝗜 𝗳𝗶𝘅𝗲𝗱 𝘁𝗵𝗮𝘁 𝗱𝗮𝘆: 1. AWS Budgets with $10 threshold alerts (not $50) 2. Lambda concurrency limits on every single function 3. Dead Letter Queues mandatory on all async invocations 4. Cost anomaly detection enabled on every account

The incident: A client's Lambda function had a bug. It was calling itself recursively. 50,000 times per second. For 6 hours. By the time AWS's billing alert fired (at $50 threshold), we were already at $800. By the time I woke up and killed it, $4,200. The client paid it.

😅 Walmart's savage honesty: Data Engineer II - Replacement for Exiting

Why is it always a Thar ?

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c) Backend Logic: Cloudflare Workers or Next.js API Routes. Serverless. You don't pay for a server sitting idle. You only pay when code runs (and the first 100k requests are free).

a) Frontend & Hosting: Vercel or Netlify. Git push to deploy. Free SSL. Global CDN. Zero config. b) Database & Auth: Supabase or Firebase. You get a full Postgres DB (or NoSQL), Authentication, and Real-time subscriptions for free up to 50k active users.

HTTPS Status Codes for Every DevOps Engineer!

Buying a new home Of course not. But yes, adding one more floor to our house in my hometown. Turning it into a 2-floor home feels special in its own way. And honestly, the thought that makes me happiest is very simple, Diwali ki laddi jo upar wale floor se ground floor tak lagegi No fancy real-estate announcements. Just a quiet dream coming true, brick by brick, light by light. Sometimes, happiness really is this simple.

I’ve been living in my village for the past three years while working remotely. I built a separate house equipped with a proper hybrid solar system. My father owns farmland where we grow sugarcane, wheat, rice, and vegetables. Honestly, life here feels far better than in a metro city - cleaner air, peaceful surroundings, and a much healthier lifestyle.