If you’ve ever looked at a high-level design diagram for Netflix, WhatsApp, Uber, Amazon, or any other internet-scale product, you’ve probably had the same reaction most engineers have in the beginning: everything looks wildly different.
In this hands-on AWS project, we’ll build an event-driven automation workflow using Auto Scaling Groups, Lambda, EventBridge, AWS Systems Manager (SSM) and HAProxy to automatically update backend servers whenever your infrastructure scales.
Last month she wired her company’s AI assistant into Slack. It took four days, custom auth, a webhook handler, a brittle little adapter to translate Slack’s API into something the model could call. It worked. Everyone clapped.
“Programs must be written for people to read, and only incidentally for machines to execute.”
A RAG-based internal chatbot for her company’s HR team. Employees could ask it anything: leave policies, payroll cycles, appraisal timelines, onboarding checklists.
Many DevOps engineers eventually reach a point where they decide to learn a programming language beyond shell scripting.
A Graph is a data structure used to represent relationships between objects. Unlike trees, graphs do not follow a strict parent-child hierarchy.
There is a deeply ingrained reflex in enterprise software development, particularly in the Java world: the moment you write a service class, you also write an interface for it. It feels almost automatic.
Three weeks of work. A fully functional AI chatbot, integrated into his company’s internal portal, built on top of GPT-4, with a clean UI and a snappy response time. His manager was impressed just from the screenshots.
If you have been coding for a while, you have probably heard of design patterns. Maybe you learned about the Gang of Four book