Loading articles...
My takeaways from Chapter 1 of Designing Data-Intensive Applications by Martin Kleppmann. A practical breakdown of the three pillars every modern backend engineer should design around: reliability, scalability, and maintainability — with the trade-offs, metrics, and mental models that actually matter in production.
Complete step-by-step guide to getting started with the mcp-clients Python package using OpenAI. Learn how to set up Model Context Protocol client with OpenAI GPT models, understand MCP architecture, and build powerful AI applications with tool-calling capabilities in just a few minutes.
Complete step-by-step guide to getting started with the mcp-clients Python package. Learn how to set up Model Context Protocol clients with Gemini AI, understand MCP architecture, and build powerful AI applications with tool-calling capabilities in just a few minutes.
A simple, step-by-step guide to build, push, and deploy Docker images to Google Cloud Run using gcloud CLI and Cloud Build. This guide shows you how to take a Docker image you built locally and run it on Google Cloud Run. You will use the gcloud CLI, Cloud Build, and Artifact Registry. By the end, you’ll have a working containerized service on Cloud Run.
Complete step-by-step guide to installing and configuring Google Cloud CLI (gcloud SDK) on Ubuntu/Linux systems. Learn installation method, authentication setup, project configuration, essential commands, troubleshooting tips, and security best practices for managing Google Cloud Platform resources from your terminal.