Data Engineering Resources

Learn how to secure AI pipelines with trusted models, verified dependencies, ML-BOMs, and supply chain controls from development to deployment.

August 11, 2026

by Igboanugo David Ugochukwu

CORE

· 3,062 Views · 1 Like

Why Traditional Cloud Infrastructure Breaks AI Workloads in Production

Legacy cloud infrastructure can't keep pace with AI workloads. Let's deep dive into the key failure points and how to fix them in production.

August 11, 2026

by Mohit Shah

· 2,403 Views · 1 Like

The Agent in Your Pipeline Doesn't Have a Manager. That's the Problem.

AI agents are flooding development environments faster than governance can keep up. Learn why visibility, identity, and access controls matter now.

August 11, 2026

by Igboanugo David Ugochukwu

CORE

· 1,402 Views

Incident Management and the Rise of AI SRE Agents

A newer category, dedicated AI SRE agents, goes further: they actively query logs, metrics, and deploy history live during an incident.

August 11, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 1,889 Views · 2 Likes

We Empowered AI Agents With 'Hands,' Now We Require Kernel-Level Vision to Monitor Them

MCP tool use creates massive application-layer blind spots. Close the gap by monitoring agent behavior directly in the kernel space.

August 11, 2026

by Ammar Ekbote

· 1,888 Views · 1 Like

How We Built an LLM Pipeline That Survives Traffic Spikes

A traffic spike took down our LLM summarizer. Here is the severity-routing + token-governor design that keeps it alive. Plan in tokens, not requests.

August 10, 2026

by Dileep Mundakkapatta

· 1,595 Views · 1 Like

Building an AI-Powered Incident Triage Agent with .NET Aspire

A practical, code-driven tutorial on building an AI-powered incident triage agent using .NET 10 and .NET Aspire 9, and other modern tools.

August 10, 2026

by Muhammad Asif Nawaz

· 2,312 Views · 1 Like

Agentic AI in 2026: How Autonomous AI Agents Are Replacing Manual Dev Work

Autonomous AI agents are moving from demos to production in 2026. See how agentic AI, MCP, and multi-agent systems are changing dev workflows.

August 10, 2026

by Ghulam Ghous

· 1,316 Views · 1 Like

GraphQL Isn’t Dead Yet, AI Agents Revived It

GraphQL was good at a time, then it simmered off. Is GraphQL about to make a comeback because of AI? Will GraphQL be able to serve better for AI Agents?

August 10, 2026

by Akash Lomas

· 1,082 Views · 2 Likes

A Practical Pipeline for Identifying Sensitive Columns Before Test Data Masking

In this article, I will be introducing a pipeline designed to identify sensitive data columns before masking steps and improve the efficiency of the data masking process.

August 10, 2026

by Siyuan Feng

· 1,265 Views

Supply Chain Resilience Analysis With Apache Spark and Neo4j

We model a supply chain in Neo4j using Apache Spark to load data, NetworkX to identify critical nodes, and Cypher to find alternative routes after a disruption.

August 10, 2026

by Akmal Chaudhri

CORE

· 1,345 Views · 1 Like

Database Bottlenecks Nobody Talks About: Optimizing SQL Queries Beyond Indexing

Indexes aren't enough. Learn how stale statistics, lock contention, and smarter SQL optimization keep databases fast, scalable, and production-ready.

August 7, 2026

by Muhammad Awais Arshad

· 1,933 Views · 5 Likes

How We Cut PyFlink Pipeline p99 Latency from 3-5 Seconds to ~500ms

We eliminated per-record Python-side Protobuf parsing and JVM-to-Python crossings by letting Flink's native Protobuf format decode records directly into typed columns.

August 7, 2026

by Arjun Shah

· 1,980 Views · 1 Like

Orchestration Meets MCP: Building Governed Agentic Workflows With Quarkus Flow and AGENTS.md

By combining Quarkus Flow, LangChain4j, MCP tools, and AGENTS.md, developers can construct deterministic, tool-augmented, and enterprise-governed AI agent loops.

August 7, 2026

by Daniel Oh

CORE

· 2,229 Views

A Zero-Trust Implementation Framework for Cloud Migrations: Lessons From Enterprise Deployments

A zero-trust framework for cloud migrations, grounded in real enterprise deployment lessons. Perimeter security doesn't hold up once workloads move to the cloud.

August 7, 2026

by Srinivasarao Thumala

· 1,509 Views

How RAG Cuts Hallucinations in Generative AI Chatbots

RAG cuts chatbot hallucinations by grounding answers in retrieved source data, not model memory. Retrieval quality and evaluation matter more than model size.

August 6, 2026

by Paul Schloss

· 1,636 Views

VL-JEPA: End of LLMs? Or the End of How We Think About Them?

Learn how Meta's VL-JEPA challenges the assumptions behind LLMs by shifting AI from next-word prediction to semantic understanding and world modeling.

August 6, 2026

by Ram Ghadiyaram

CORE

· 1,842 Views · 1 Like

Building an AI Visibility Checker With Cloudflare Workers (Without a Backend)

I built six AI visibility tools without a traditional backend, using one Cloudflare Worker to solve CORS while all scoring logic runs client-side in the browser.

August 6, 2026

by Nena Jasar

· 2,937 Views · 2 Likes