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Metric Value Django Average Response Time 287ms Node.js Average Response Time 193ms Django Memory Usage (1000 users) 1.8GB We tested Django 4.2 and Node.js 18.16 under identical conditions to measure their performance for reporting dashboard workloads. The test environment consisted of AWS EC2 m5.2xlarge instances (8 vCPUs, 32GB RAM) running Ubuntu 22.04. Both frameworks connected to th
We talk a lot about “data-driven decisions”, but that usually hides three separate layers: Data itself (events, transactions, logs, etc.). Database structure (schemas, constraints, relationships). Insights on top (from SQL, AI copilots, BI tools, notebooks). My current interest is in that middle layer: using real-world database structures as a playground to practice database insights: Understan
If you've ever built ETL pipelines pulling data from MongoDB into Delta Lake using Spark, you've probably hit this wall. The pipeline works fine — until it doesn't. A single document with an unexpected shape is enough to break the entire write, leave the table in an inconsistent state, and send your on-call engineer digging through Spark logs at 11pm. I built and maintained more than 10 of these j
GitHub has thousands of open-source apps with binary releases — but finding and downloading the right one is painful. Release pages are buried, and you're left squinting at filenames like app-1.2.3-linux-x86_64.tar.gz guessing which one is yours. So I built GHFrog — a browser-based app store on top of the GitHub API. No install, no account needed. Live: ghfrog.pages.dev · Source: github.com/iamovi
Generative AI is no longer just an emerging technology. It is becoming a core business capability across software development, customer support, analytics, content generation, automation, knowledge management, and enterprise productivity. For cloud professionals, developers, data teams, and solution architects, learning Generative AI on AWS is now a high-value career move. AWS provides a growing e
The Model Context Protocol has transformed how we connect AI to tools. But connecting agents to tools is only half the battle — connecting agents to each other is where the real challenge begins. I recently read @raviteja_nekkalapu_'s excellent article "I built an AI security Firewall and made it open source because production apps were leaking SSNs to OpenAI" and it resonated deeply with challeng
When stepping into the world of data engineering, Apache Airflow is likely one of the first tools you will encounter. It is the industry standard for programmatically authoring, scheduling, and monitoring workflows. Before building our first DAG, it's important to know what has changed in Airflow 3.1.0. Initially, Airflow users imported DAGs and tasks from airflow.models and airflow.decorators. I