Data Engineering Resources

Edge + GenAI: The Architecture Behind Instant Digital Experiences

Discover how GenAI at the edge unlocks real time digital experiences with low latency intelligence, responsive architecture, and next level customer engagement.

March 31, 2026

by Jyothsna devi

· 1,226 Views · 1 Like

Shipping GenAI Into an Existing App: How to Integrate AI Features Without Rewriting Your Stack

Learn a repeatable pattern for safely adding GenAI to existing apps. Choose workflows, define contracts, handle latency, build fallbacks, and roll out with telemetry.

March 31, 2026

by Naga Santhosh Reddy Vootukuri

CORE

· 1,838 Views · 2 Likes

Building a Deterministic Event Correlation Engine in Go for High-Volume Alert Systems

Design a deterministic event correlation engine so the same alerts always produce the same incidents, no matter arrival order or runtime.

March 31, 2026

by Akshay Pratinav

· 1,257 Views · 1 Like

Getting Started with Gemini Agents: Build a Data-Connected RAG Agent using Vertex AI Agent Builder

Build a production-ready RAG agent using Gemini and Vertex AI Agent Builder to query your private data with high accuracy and speed.

March 31, 2026

by Jubin Soni, FBCS

CORE

· 1,296 Views

Queues Don't Absorb Load — They Delay Bankruptcy

Queues hide overload. Without back-pressure, limits, and scaling, lag just grows until failure. Bound queues, alert on lag, fail fast, and plan capacity.

March 30, 2026

by David Iyanu Jonathan

· 1,732 Views · 2 Likes

Scaling Kafka Consumers: Proxy vs. Client Library for High-Throughput Architectures

Scaling Apache Kafka consumption requires new patterns; proxy layers and client libraries offer practical solutions for high-throughput.

March 30, 2026

by Kai Wähner

CORE

· 1,474 Views · 3 Likes

A Practical Guide to Multi-Agent Swarms and Automated Evaluation for Content Analysis

This guide builds a Strands multi-agent content analysis system — powered by Ollama Llama 3.1 — with LLM-as-judge scoring for correctness and relevance.

March 30, 2026

by Anil Malakar

· 1,675 Views · 1 Like

The "Bus Factor" Risk in MongoDB, MariaDB, Redis, MySQL, PostgreSQL, and SQLite

Ever wonder what would happen to an open source database project in case its main developers “get hit by a bus?" That’s what the “bus factor” measures.

March 30, 2026

by Alejandro Duarte

CORE

· 3,246 Views · 2 Likes

A Developer’s Guide to Integrating Embedded Analytics

Embedded analytics implementations deliver in-context insights within everyday tools—while introducing integration, governance, and performance challenges for developers.

March 30, 2026

by Philip Piletic

CORE

· 2,041 Views

Removing the Experimental Bottleneck: Fast Parallel Data Loading for ML Research

Transformed 5-hour data loads into 1-2 minutes using Oracle's APPEND+PARALLEL+NOLOGGING, enabling researchers to go from 1-2 experiments/day to 2-3/hour.

March 30, 2026

by Sanjay Mishra

· 2,029 Views

AI Maturity Is the New Differentiator: Why Operationalization Matters More Than Model Capability

LLM advantage is fading. Enterprises must shift to operational maturity with governance, reliability, measurement, and modular architecture to scale AI in production.

March 30, 2026

by Frederic Jacquet

CORE

· 2,112 Views

Azure Cosmos DB Playground: Learn and Experiment With Queries in Your Browser

Interactive, browser-based Azure Cosmos DB playground to learn, prototype, and test SQL queries instantly — no setup, installation, or cloud costs required.

March 30, 2026

by Abhishek Gupta

CORE

· 1,079 Views

The Aggregate Reference Problem

How can one aggregate reference another aggregate’s data while preserving strict ownership boundaries? That is the aggregate reference problem.

March 30, 2026

by Jan Nilsson

· 1,099 Views

Scaling AI Workloads in Java Without Breaking Your APIs

Learn how to scale AI inference workloads in Java using async and event-driven patterns, maintaining stable APIs while improving performance and resilience.

March 27, 2026

by Ramya vani Rayala

· 4,049 Views · 3 Likes

Designing High-Concurrency Databricks Workloads Without Performance Degradation

Enable liquid clustering and auto-optimize by default. They handle layout, conflicts, and compaction automatically as workloads scale.

March 27, 2026

by Seshendranath Balla Venkata

· 4,079 Views · 3 Likes

Why Good Models Fail After Deployment

Learn how feedback loops, distribution shift, and metric misalignment break machine learning systems in production, and what you can do about it.

March 27, 2026

by Oleksandr Pyvovar

· 8,594 Views · 51 Likes

The Self-Healing Endpoint: Why Automation Alone No Longer Cuts It

Partial, script-based automation is hitting a ceiling — so organizations are moving toward autonomous endpoint management systems.

March 27, 2026

by Anton Lucanus

CORE

· 3,053 Views

Engineering High-Performance Real-Time Leaderboard

Replaced slow slice-based leaderboard with indexed skip list + hash IDs, cutting updates to <1ms and stabilizing CPU/memory under loads.

March 27, 2026

by Ivan Balashov

· 3,119 Views · 1 Like

Essential Techniques for Production Vector Search Systems, Part 5: Reranking

Proven techniques for production vector search, including when to use each one, how to combine them effectively, and trade-offs to understand before deployment.

March 27, 2026

by Pavan Vemuri

CORE

· 2,252 Views · 1 Like

Designing Stop Loss in Modern AI-Driven Automated Trading Systems

Stop losses are usually considered a no-brainer in automated trading setups. Any novice entering the space gets taught to use stop losses.

March 27, 2026

by Ruslan Malsagov

· 2,866 Views · 1 Like

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