AI-driven development is outpacing security teams. This piece examines where AI-powered security actually help, where they fail, and how teams can use them responsibly.
Retrieval-Augmented Generation (RAG) is transforming enterprise AI by bridging the gap between general-purpose language models and organization-specific knowledge.
The blog introduces you to the four pillars of observability, AWS and Azure cloud-native services, and ROI to help in architects and engineer's quest for system clarity.
AI Agents perceive, reason, plan, and act autonomously using LLMs. This article breaks down the core components that power every agent and shows you how to build one.
Feature flags and safe rollouts with Azure App Configuration for large SPA teams, hands-on setup, core principles, TypeScript code for backend and frontend.
Build long-running workflows by separating orchestration from execution, persisting state, and using events or callbacks to pause and resume without holding compute.
A practical example of a database schema migration tool written in pure NodeJS. We determine the requirements, design, and implement all components, including tests.
Microservices solve scalability problems but introduce troubleshooting nightmares. Here is a practical architectural pattern to unify logs, metrics, and traces.
Teams rushing to build MCP servers are discovering that enthusiasm doesn’t translate into usefulness. This article unpacks why and how to make your MCP server valuable.
Kafka isn’t one-size-fits-all. Choose between self-managed, serverless, or BYOC deployments. New RPO=0 options now enable zero data loss for real-time applications.
This project demonstrates a production-ready approach to deploying a containerized Quarkus API on AWS EKS/Fargate, leveraging Infrastructure as Code through the AWS CDK.