Ujjawal Tyagi
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From Dev.to - security: Build vs Buy: Authentication for Indian D2C Apps
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From Dev.to - cicd: AWS Deployment Pipeline for Indian Startups: Our GitHub Actions + ECS Fargate Setup
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At Xenotix Labs (https://www.xenotixlabs.com), we've shipped 30+ production apps in 4 years across D2C, edtech, fintech, healthtech, SaaS, and marketplaces. Every single one followed the same playbook. Flutter for mobile (iOS + Android in one codebase) Next.js for web (SSR for SE
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Every Flutter team has the same broken ritual. The designer finishes a beautiful Figma file. The developer opens it, stares at a spacing value of "14.3px", sighs, and rebuilds the UI from scratch. Three weeks later, the product ships with colors and paddings that don't match the
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Most engineering blogs that talk about Kafka either quote the Netflix case study or walk you through the "hello world" producer-consumer example. Both are useless if you're actually trying to decide whether to adopt Kafka for a product that might hit a million users โ or stay at
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Insurance in India runs on surveys. When a claim comes inโa car accident, a flooded basement, a health emergencyโa surveyor physically visits the site, inspects the damage, documents it with photos and reports, and submits the assessment back to the insurer. The turnaround used t
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Every team I've talked to that adopted microservices in the last five years has the same arc: enthusiasm at month one, regret at month nine, sober refactoring at month eighteen. At Xenotix Labs we've shipped 30+ platforms on microservices, and we've made every one of these mistak
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Message queues are one of those architectural choices where the wrong pick haunts you for years. Pick Kafka when RabbitMQ would have done, and you've bought a 3-node cluster, ZooKeeper (or KRaft) operations, partition management, and consumer group coordination โ all to replace w
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Every Indian founder I've met in the last two years has the same WhatsApp problem. Customers DM them at all hours. Half the queries are the same five questions. The founder ends up being the company's unpaid, always-on customer support. At 50 customers a day it's manageable. At 5
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webdev, architecture, node, kafkaIndia consumes cricket like no other country on earth. When Kohli walks out to bat, millions of users hit refresh simultaneously. When a wicket falls, chat rooms explode. When an opinion-trading market opens on the next ball, orders pour in at rat