If your Java services still rely on dual writes to a database and Kafka, you are one deployment away from inconsistent data and painful incident calls. In this guide, you will build a production-ready event-driven order service using Spring Boot…
Author: Ankur Sharma
Cloud in 2026: Build a Zero-Trust Internal API Platform with AWS PrivateLink, mTLS, and Policy-as-Code
Most teams treat "internal APIs" as trusted by default because they run inside a VPC. In 2026, that assumption is risky. Lateral movement after a single credential leak is still one of the fastest ways to escalate an incident. A…
Git/GitHub in 2026: Find the First Bad Commit Fast with git bisect run and Deterministic Regression Tests
When a production bug appears after weeks of rapid merges, most teams waste hours guessing which commit introduced it. The faster approach is not guessing. It is git bisect with an automated test command that can run locally or in…
Cybersecurity in 2026: Stop Token Replay in SPA + API with DPoP, Refresh Rotation, and Device Binding
Modern apps often use a browser SPA, a mobile app, and a backend API. The security weak spot is usually not login itself, but what happens after login: stolen access tokens, replayed refresh tokens, and long-lived sessions that are hard…
Data Science in 2026: Build a Real-Time Fraud Detection Feature Pipeline with Flink, Feast, and XGBoost
Fraud detection systems fail less often because of model quality and more often because of data quality, feature freshness, and serving inconsistency. A model can score 0.95 AUC in notebooks and still miss real attacks in production if online features…
AI/ML in 2026: Build a Production RAG Evaluation Pipeline with LLM-as-Judge, Tracing, and CI Quality Gates
RAG demos are easy, but production reliability is hard. In 2026, teams are shipping AI features weekly, and the bottleneck is no longer model access, it is confidence: can you prove your retriever is finding the right context, your answers…
