Data Engineering Resources

Advanced Middleware Architecture For Secure, Auditable, and Reliable Data Exchange Across Systems

A secure, high-performance middleware using JWT, async messaging, and cryptographic auditing enables reliable, scalable, and fully traceable data exchange across systems.

April 23, 2026

by Abhijit Roy

· 2,728 Views

Gemini + Veo: A Deep Dive into Google’s High-Fidelity Video Generation Pipeline

A deep dive into Google's video generation stack, combining Gemini's reasoning with Veo's cinematic 1080p video production pipeline.

April 23, 2026

by Jubin Soni, FBCS

CORE

· 2,404 Views

Coding Agents Need a Feedback Loop; Cloud-Native Systems Make That Hard

The utility of coding agents compounds with the quality of their feedback loop. In cloud-native systems, closing that loop involves solving two problems.

April 23, 2026

by Arjun Iyer

· 2,490 Views

The LLM Selection War Story: Part 1 - Why Your Model Selection Process is Fundamentally Broken

Benchmark scores predicted our LLM would succeed. It failed spectacularly. Here's why 92% vs 89% means nothing and what metrics actually matter in production.

April 23, 2026

by Dinesh Elumalai

CORE

· 2,989 Views

The Bandwidth Tax Nobody Warned You About

Bandwidth — not compute — drives cloud costs. Optimize data movement, compression, and locality, or risk massive bills from hidden data transfer inefficiencies.

April 23, 2026

by David Iyanu Jonathan

· 1,995 Views

Agent Skills Explained for Developers

Agent skills are the hottest trend now, and this article explains what they are, why they matter, and how to build one with a detailed guide.

April 23, 2026

by Pavan Belagatti

CORE

· 2,504 Views · 1 Like

When AI Agents Get It Wrong: The Accountability Crisis in Multi-Agent Systems

Multi-agent AI systems need built-in accountability. With the right logging and observability setup, when agents fail, you can see what happened and why.

April 23, 2026

by Michael Bogan

CORE

· 1,915 Views

Boosting React.js Development Productivity With Google Code Assist

Google Code Assist boosts React.js productivity by generating context-aware code inside VS Code, helping developers move faster without sacrificing code quality.

April 23, 2026

by Rajgopal Devabhaktuni

· 2,143 Views · 1 Like

Revolutionizing Scaled Agile Frameworks with AI, MuleSoft, and AWS: An Insider’s Perspective

AI + MuleSoft + AWS enhance SAFe with automated insights, better integration, and smarter DevOps—guided by human judgment.

April 22, 2026

by Abhijit Roy

· 2,818 Views

Reconciling Privacy Preferences Across Two Datastores With Snowflake and Airflow

This article explains how to turn privacy preference mismatches into a real compliance control using clear matching rules, safe fixes, and full auditability.

April 22, 2026

by Meihui Chen

· 2,216 Views

Stop Adding Indexes: What's Actually Slowing Your SQL Server Queries When SSIS Loads Data

The default response to a slow query is "add an index." Sometimes that's correct. More often, the index isn't the problem.

April 22, 2026

by Abhilash Rao Mesala

· 2,395 Views

Clean Code: Structs, Methods, and Composition Over Inheritance, Part 2

After 6 years of Go, always use painter receivers with mutexes, prefer composition over inheritance, and stop writing Java-style getters for everything.

April 22, 2026

by Vladimir Yakovlev

· 2,301 Views · 1 Like

The Rollback Problem: Implementing Transactional Boundaries in Agentic Loops

Learn how to leverage the Saga pattern, sandboxes, and idempotent tooling to define transactional boundaries and prevent failure loops in AI agents.

April 22, 2026

by Sidhesh Badrinarayan

· 2,171 Views

What AI Systems Taught Us About the Limits of Chaos Engineering

AI-driven infrastructure is non-deterministic. Chaos testing ensures systems maintain intended behavior under stress, improving reliability and safety.

April 22, 2026

by Sayali Patil

· 8,839 Views · 6 Likes

Designing a “People You May Know” System With Graph Neural Networks

This article explains a practical design for a LinkedIn-style “People You May Know” system, focusing on real-world tradeoffs, graph embeddings, and low-latency serving.

April 22, 2026

by Deepu Komati

· 2,485 Views · 2 Likes

AWS Bedrock: The Future of Enterprise AI

Amazon Bedrock simplifies enterprise AI with multi-model access, built-in security, RAG, and scalable, no-infrastructure deployment.

April 21, 2026

by Subrahmanyam Katta

· 5,042 Views · 2 Likes

Demystifying Intelligent Integration: AI and ML in Hybrid Clouds

AI and ML are transforming hybrid clouds with edge intelligence, federated learning, and explainable, scalable integration.

April 21, 2026

by Abhijit Roy

· 3,446 Views

SPACE Framework in the AI Era: Why Developer Productivity Metrics Need a Rethink Right Now

AI coding tools boost commit metrics, but hide deeper issues. Learn how the SPACE framework reveals real developer productivity beyond traditional DevOps metrics.

April 21, 2026

by Sreejith Velappan

· 3,175 Views

The DevOps Security Paradox: Why Faster Delivery Often Creates More Risk

DevOps speeds delivery and risk. Without built-in security, vulnerabilities reach production fast — DevSecOps embeds automated security into the pipeline.

April 21, 2026

by Jaswinder Kumar

· 3,609 Views · 2 Likes

Building Cost-Aware Product Roadmaps Using Real-Time Data from Distributed Logistics Systems

Dynamic, cost-aware product roadmaps use real-time logistics data, predictive analytics, and alerts to optimize profitability and adapt quickly.

April 21, 2026

by Srikrishna Jayaram

· 2,076 Views

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