Data Engineering Resources

Is the Data Warehouse Dead? 3 Patterns From Enterprise Architecture That Answer This Question

No, but its role has fundamentally changed. Here is what I have seen work, after building data platforms at enterprise scale across multiple industries.

June 5, 2026

by Nabarun Bandyopadhyay

· 4,944 Views · 1 Like

Spring AI Advisors: Chat Memory, Token Tracking, and Message Logging

Part 3 of a step-by-step tutorial that decorates the implementation with Spring AI advisors to demonstrate how certain production concerns may be addressed.

June 5, 2026

by Horatiu Dan

CORE

· 3,653 Views · 4 Likes

Why Round-Robin Won't Save You: Load Balancing Challenges in Data Streaming Services With Heterogeneous Traffic

Throughput-based load balancing breaks down when streaming messages have heterogeneous processing costs — the fix is balancing on actual per-partition resource usage.

June 5, 2026

by Semyon Slepov

· 3,383 Views · 1 Like

Why Your Test Automation Is Always Behind the Code And the Architecture That Fixes It

Most QA teams are stuck in a manual scripting loop. Here's the requirement-driven architecture that eliminates the coverage gap permanently.

June 5, 2026

by Waqar Hashmi

· 3,593 Views

Good Data, Bad Metric: A Mutation Testing Pattern for Analytics Engineering

A mutation testing pattern for analytics metrics that checks if validation catches realistic business logic errors early.

June 4, 2026

by Prateek Arora

· 4,456 Views · 1 Like

Persistent Memory for AI Agents Using LangChain's Deep Agents

Most AI agents forget you when the session ends. deepagents fixes that — persistent per-user memory across sessions, no vector database.

June 4, 2026

by Ninaad Rao

· 4,044 Views · 4 Likes

A System Cannot Protect What It Does Not Understand

Inside the system, there is always a boundary between incoming data and stored state, and that boundary is not passive. It acts like a gatekeeper.

June 4, 2026

by Jan Nilsson

· 2,903 Views

Building a High-Throughput Distributed Sequence Generator Using the Hi-Lo Algorithm

Design scalable sequential ID generation in distributed systems using the Hi-Lo pattern with Cosmos DB to reduce contention, improve latency, and maintain ordering.

June 4, 2026

by Vikas Mittal

· 2,493 Views

The Hidden Cost of AI Tokens: Engineering Patterns for 10x Resource Efficiency

How we cut our AI API bill from $127K to $13.8K monthly — not by switching providers, but by treating tokens as a first-class architectural concern.

June 4, 2026

by Dinesh Elumalai

CORE

· 2,463 Views · 1 Like

Beyond Manual Annotation: Engineering Self-Correcting Pseudo-Labeling Pipelines

This article details a resilient pseudo-labeling architecture. It combines Redis ingestion, Matryoshka embeddings, XGBoost to neutralize self-training confirmation bias.

June 4, 2026

by Harshith Narasimhan Srivatsa

· 2,380 Views

Testing AI-Infused Apps: A Dual-Layer Framework for AI Quality Assurance

Reliable AI delivery isn't either/or—it's both/and. Test conventionally for functionality. Evaluate probabilistically for quality. Deploy with dual-discipline confidence.

June 4, 2026

by Stelios Manioudakis

CORE

· 4,426 Views · 2 Likes

Real-Time AI Inference at Scale Using Cloud Run, GPUs, and Vertex AI

Build scalable threat intel pipelines with Python, STIX/TAXII APIs, and Elasticsearch. Normalize data, preserve context, and enable fast, reliable detection.

June 4, 2026

by khadarvali shaik

· 2,420 Views

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 2

Build a Slack bot using AWS Bedrock and MCP to answer GitHub questions. Learn setup, architecture, and how to extend it with new tools and data sources.

June 4, 2026

by Sangharsh Agarwal

· 2,958 Views

Compliance Automated Standard Solution (COMPASS), Part 11: Compliance as Code, the OSCAL MCP Server Way

How AI-native tooling is finally closing the loop between compliance personas and OSCAL artifacts with an MCP-standardized, AI-agent-ready interface.

June 4, 2026

by Yuji Watanabe

· 2,948 Views · 1 Like

Building Threat Intelligence Pipelines Using Python, APIs, and Elasticsearch

STIX/TAXII in, ECS normalized, provenance preserved deterministic IDs, correct bulk writes, ingest pipelines keep threat indicator data reliable and queryable under load.

June 3, 2026

by Krishnaveni Musku

· 3,358 Views

How to Save Money Using Custom LLMs for Specific Tasks

MCP transforms AI from "chatbot" to "capable agent" by managing the messy details of tool integration and execution. With local models.

June 3, 2026

by Max Tcvetkov

· 2,281 Views · 4 Likes

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 1

Building a Slack bot with traditional APIs led to 400 lines of code. Using MCP and AWS Bedrock reduced complexity, enabling scalable, tool-driven automation.

June 3, 2026

by Sangharsh Agarwal

· 3,326 Views · 2 Likes

Building AI-Powered Java Applications With Jakarta EE and LangChain4j

Integrate AI into Java apps with Jakarta EE, CDI, MicroProfile Config, and LangChain4j. Build AI services from simple prompts to type-safe domain-driven interactions.

June 3, 2026

by Otavio Santana

CORE

· 4,589 Views · 2 Likes