Data Engineering Resources

How to Build and Scale Generative AI Infrastructure

Managing generative AI at scale requires strategies to reduce costs and latency, improve observability, and build reliable infrastructure.

August 21, 2026

by Chidiebere Njoku

· 1,741 Views · 5 Likes

Reliability Without Control: Operating SRE Practices in Platform–SaaS and API-Dependent Systems

Modern SRE shifts focus from component health to user experience, relying on accurate signals and human response to sustain reliability despite reduced control.

August 20, 2026

by Oreoluwa Omoike

· 1,720 Views · 2 Likes

Stop Hand-Rolling Chat UIs: Streaming LLM Tokens Into React Native Without the Jank

In a React Native chat, the keyboard and a streaming, resizing list fight over the scroll position and cause jank. KeyboardChatScrollView fixes it.

August 20, 2026

by Tammo Ronke

· 2,587 Views

AWS Bedrock vs Vertex AI vs Azure Foundry: Stop Comparing Benchmarks, Start Asking This Instead

Compare AWS Bedrock, Google Vertex AI, and Azure AI Foundry to choose the right cloud for your AI workloads based on data, models, and governance.

August 20, 2026

by Balaji Venkatasubramaniyar

CORE

· 2,512 Views · 2 Likes

Prompt, Fine-Tune, or Compile: The Three Ways to Build Anything in AI

Learn when to use model APIs, fine-tuning, or declarative code for AI products, and how to manage these three tiers as your product evolves.

August 20, 2026

by Dhyey Mavani

· 1,674 Views · 1 Like

How AI Is Actually Changing SRE Tools, Part 2: ITOps, Chaos Engineering, and the Rest of the Job

Across every category, AI is good at surfacing options and drafts; the SRE still owns the judgment call with real consequences.

August 20, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,241 Views · 3 Likes

Securing AI Retrieval Pipelines and Adding Identity-Aware Access Controls to RAG Systems

A step-by-step tutorial for adding per-chunk permission enforcement, prompt injection defenses, and audit logging to RAG pipelines — without rebuilding your data.

August 19, 2026

by Shekar Munirathnam

· 3,057 Views · 2 Likes

Deploying an Enterprise LLM Chatbot on Databricks With RAG, MLflow, Vector Search, and Model Serving

Build and ship a production chatbot: author the RAG chain, log it with MLflow, register it to Unity Catalog, trace it, then deploy to Model Serving.

August 19, 2026

by Seshendranath Balla Venkata

· 1,739 Views · 1 Like

How Docker Is Becoming an AI Development Platform

Local AI dev chaos fixed by moving LLM, vector DB, and app into one Compose file, reproducible, but it's not a Kubernetes replacement.

August 19, 2026

by Pruthvi Raj Seknametla

· 32,029 Views · 5 Likes

Why Is the Agent Card Important?

Build AI agents with A2A and Agent Cards to enable seamless agent discovery, communication, and task collaboration across specialized agents.

August 19, 2026

by Ajay Singh

· 1,813 Views · 1 Like

A Developer's Guide to Chrome Extension Manifest V3 Declarative Net Request API

Learn to build Chrome Manifest V3 network filters, manage dynamic rulesets, and modify HTTP headers using the declarativeNetRequest API.

August 19, 2026

by Vishal Pathak

· 2,132 Views

Containerizing LLMs: Best Practices for Docker-Based AI Workloads

Bloated LLM Docker images and silent OOM kills taught me: separate weights from images, use runtime, not devel bases, and budget GPU/host memory separately.

August 19, 2026

by Pruthvi Raj Seknametla

· 29,435 Views · 4 Likes

Solving Session Persistence for Model Context Protocol Servers at Enterprise Scale

Learn why Model Context Protocol servers fail behind a load balancer with "session not found" errors, and a shared session store pattern that fixes it at scale.

August 19, 2026

by shravya boini

· 1,817 Views

Multi-Agent Software Engineering: Can AI Teams Build Production Systems?

Multi-agent AI reaches production readiness through orchestration, durable workflows, observability, and resilience rather than simply adding more models.

August 19, 2026

by Uthej Mopathi

CORE

· 2,630 Views · 3 Likes

Real-Time Supply Chain Event Streaming With Kafka and Neo4j

A Kafka producer publishes shipment events, a Python consumer writes them into Neo4j, and a live Plotly dashboard shows network health updating as events arrive.

August 18, 2026

by Akmal Chaudhri

CORE

· 2,158 Views

Java Enterprise Is Already Ready for the AI Era

Java Enterprise is ready for AI today. Jakarta EE integrates with AI providers and frameworks, while Jakarta Agentic AI and Jakarta EE 12 strengthen it.

August 18, 2026

by Otavio Santana

CORE

· 3,257 Views · 5 Likes

Building Data Pipelines: Here's What Palantir Foundry Did That Surprised Me.

A senior data engineer's honest first impressions after a Palantir Foundry bootcamp: Five things to know before evaluating the platform.

August 18, 2026

by Sashank siwakoti

· 1,806 Views · 1 Like

MCP vs A2A vs ACP: How AI Agents Talk to Each Other

Compare MCP, A2A, and ACP to understand how AI agents access tools, delegate work, manage tasks, and communicate securely in production systems.

August 18, 2026

by Yakaiah Bommishetti

· 2,563 Views · 2 Likes

Vector Database Indexing Explained: Why It Matters More Than the Embeddings Themselves

Exploring vector search indexing strategies to improve performance. If it feels slow, it's most likely the index, not the embeddings.

August 18, 2026

by Balaji Venkatasubramaniyar

CORE

· 1,672 Views · 1 Like

Member Spotlight: Pavan Belagatti

In the first article of this series, we caught up with Pavan to talk about his tech journey, what keeps him learning, and his passion for agentic AI and AI/ML.

August 18, 2026

by Dominique Roller

· 1,094 Views · 1 Like

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