Build Production Grade AI Systems
When building traditional software, engineers write tests to make sure code works correctly. Every time you change a feature or update a package, automated tests run to catch bugs before they reach re
When you first start building applications, you usually think about buying or renting a server—a computer that sits somewhere in a data center, running 24/7, waiting for someone to use their app. But
You've built your application. Now, it's time to deploy it to Amazon Web Services (AWS). So, you open the AWS Console, click through a dozen complex menus, create an Amazon S3 bucket, wire up an AWS L
Your application is running on multiple servers. Traffic is growing. Everything looks good — until one day, your database becomes the slowest part of the system.
When you launch a new application, a single-server architecture is usually more than enough. Your users send requests, the server processes the backend logic, talks to the database, and returns a resp
Most engineers use the internet every day without thinking about what actually happens before a page loads. Understanding that process is one of the first building blocks of system design. Let's start
Most engineers discover Event-Driven Architecture (EDA) through tools first. They hear about Kafka, RabbitMQ, AWS SQS, or Google Cloud Pub/Sub, and immediately want to implement them. But when designi
Most system design discussions jump straight into complex architecture patterns—monoliths, microservices, event-driven systems, and distributed databases. But in real engineering, systems don’t begin
Traditional software is predictable. You type something in, and you get the exact same result out every single time. Your database works, your code runs, and everything behaves. But the moment you add
