Data Engineering Resources

An AI-Driven Architecture for Autonomous Network Operations (NetOps)

NetOps teams often face a skills gap when troubleshooting complex infrastructure. This article presents an automation pattern for an AI co-pilot for incident response.

February 9, 2026

by Dippu Kumar Singh

· 1,686 Views

Next-Level Persistence in Jakarta EE: How We Got Here and Why It Matters

From JPA to Jakarta Data and NoSQL, Jakarta EE embraces store-agnostic repositories and polyglot persistence in the enterprise Java model.

February 9, 2026

by Otavio Santana

CORE

· 1,592 Views · 2 Likes

Agile’s AI-Driven Paradigm Shift

Agile’s AI-driven paradigm shift is here. “Good enough Agile” provides an income or perspective. Will you adapt—or fall behind?

February 9, 2026

by Stefan Wolpers

CORE

· 5,312 Views · 3 Likes

Model Context Protocol Vs Agent2Agent: Practical Integration with Enterprise Data

MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.

February 9, 2026

by Ram Ghadiyaram

CORE

· 1,869 Views · 1 Like

Understanding AI Agent Types:Guide to 8 Modern AI Architectures

A guide to eight AI agent types with implementations, real-world use cases, and selection framework. Learn about LCM, HRM, LAM, SLM, VLM, LRM, MOE, and GPT architectures.

February 6, 2026

by Ram Ghadiyaram

CORE

· 3,479 Views · 1 Like

The Real Cost of DevOps Backup Scripts

Backup scripts are one way to protect data, but are they the most secure backup solution? Let’s explore the potential alternatives.

February 6, 2026

by Milosz Jesis

· 704 Views

The Self-Healing Directory: Architecting AI-Driven Security for Active Directory

Active Directory is the heartbeat of the enterprise, and a favorite target of attackers. Here is an architectural pattern for AI-driven anomaly detection and remediation.

February 6, 2026

by Dippu Kumar Singh

· 1,093 Views

Hybrid Vector Graph with AI Agents for Software Test Case Creation

This article shows how multi-agent, vector-graph systems automate test creation, cutting manual effort while increasing coverage.

February 6, 2026

by Mohanakrishnan Hariharan

· 1,163 Views

How to Achieve More Accurate Data Extraction From Invoices

Document extraction accuracy improves most when multiple independent sources with failure modes are combined, and values are selected based on weighted agreement.

February 6, 2026

by Viacheslav Maksimov

· 576 Views

Architecting Immutable Data Integrity with Amazon QLDB and Blockchain

Hashing detects tampering, but it doesn't prevent it. Here is an architectural pattern for securing business-critical files using Amazon QLDB and the Symbol Blockchain.

February 5, 2026

by Dippu Kumar Singh

· 1,076 Views

When Your Cloud Bill Becomes an Outage

A deep dive into cost-aware reliability engineering, exposing how autoscaling, retries, and serverless systems can cause financial outages.

February 5, 2026

by David Iyanu Jonathan

· 538 Views

Principles for Operating Large-Scale Global Production Systems with AI Innovation Across the Stack

AI speeds detection and remediation, protects error budgets, and boosts availability, linking reliability to user satisfaction at scale.

February 5, 2026

by Sayantan Ghosh

· 931 Views

Automating Behavioral Evaluations for LLMs: A Practical Guide to Bloom

Automating LLM behavioral testing with Anthropic's open-source tool Bloom: from setup to comparing models across different scenarios in production.

February 5, 2026

by Sushant Mehta

· 1,101 Views

From PDFs to Embeddings: Rebuilding Enterprise Knowledge for the LLM Era

Enterprise RAG pipelines hallucinate because knowledge is still trapped in PDFs and long pages. This tutorial shows engineers how to chunk, embed, and continuously refresh data so LLMs can reliably reason over it — plus the new observability metrics every 2025 team needs.

February 5, 2026

by AMIT KHAN

· 922 Views

AI RAG Architectures: Comprehensive Definitions and Real-World Examples

Learn the three production-proven Modern RAG architectures Basic, Agentic, and Multi-Agent RAG and how to choose the right one based on cost, complexity, and scale.

February 5, 2026

by Ram Ghadiyaram

CORE

· 2,810 Views · 1 Like

Context Engineering: The Missing Layer for Enterprise-Grade AI

Your RAG PoC shows potential; context engineering unlocks real performance by shaping data, policies, memory, and tone so you can scale your prototype.

February 4, 2026

by Mandar Parab

· 2,331 Views · 3 Likes

UX Research in the Age of AI: From Validation to Anticipation

In the age of AI, UX Research must evolve from validation to proactive problem framing. Researchers who study trust, inclusion, and intent shape AI that works for people.

February 4, 2026

by Priyanka Kuvalekar

· 538 Views