API

Building high-performance REST APIs with Go has become a standard approach for powering systems at Google, Uber, Dropbox, and countless startups.

Clean Architecture has revolutionized how developers build scalable, maintainable applications by emphasizing separation of concerns and dependency management.

The Saga pattern provides an elegant solution by breaking distributed transactions into a series of local transactions with compensating actions.

Docker Model Runner is Docker’s official tool for running AI models locally, but enabling NVidia GPU acceleration in Docker Model Runner requires specific configuration.

Zero-knowledge architecture represents a paradigm shift in how we design privacy-preserving systems.

When data is the a valuable asset, securing it has never been more critical. From the moment information is created to the point it’s discarded, its journey is fraught with risks - whether stored, transferred, or actively used.

Choosing the right headless CMS can make or break your content management strategy. Let’s compare three open-source solutions that influence how devs build content - driven applications.

Command-line interface (CLI) applications are essential tools for developers, system administrators, and DevOps professionals. Two Go libraries have become the de facto standard for CLI development in Go: Cobra for command structure and Viper for configuration management.

Token optimization is the critical skill separating cost-effective LLM applications from budget-draining experiments.

AWS Kinesis has become a cornerstone for building modern event-driven microservices architectures, enabling real-time data processing at scale with minimal operational overhead.

The Backend for Frontend (BFF) pattern combined with GraphQL and Apollo Server creates a powerful architecture for modern web applications.

Elasticsearch is a powerful distributed search and analytics engine built on Apache Lucene. This comprehensive cheatsheet covers essential commands, best practices, and quick references for working with Elasticsearch clusters.

The Model Context Protocol (MCP) is revolutionizing how AI assistants interact with external data sources and tools. In this guide, we’ll explore how to build MCP servers in Python, with examples focused on web search and scraping capabilities.

Docker Model Runner (DMR) is Docker’s official solution for running AI models locally, introduced in April 2025. This cheatsheet provides a quick reference for all essential commands, configurations, and best practices.

Running large language models (LLMs) locally has become increasingly popular for privacy, cost control, and offline capabilities. The landscape shifted significantly in April 2025 when Docker introduced Docker Model Runner (DMR), its official solution for AI model deployment.

Here we have a Python Lambda example of SQS Message Processor + REST API with API Key Protection + Terraform script to deploy it for serverless execution.