Latest Articles

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

· 1,967 Views

Deploying Java applications on Arm64 with Kubernetes

Tuning Java on Kubernetes (Arm64): align CPU/memory limits with JVM, use container-aware settings, optimize placement, and leverage OS tuning for better performance.

March 30, 2026

by Dave Neary

· 1,985 Views · 1 Like

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

· 2,085 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

· 1,066 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

· 1,077 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

· 4,017 Views · 3 Likes

The Hidden Cost of Legacy Infrastructure in Asset-Heavy Game Development

Today’s software and game dev bottleneck is legacy pipelines. Modern VCS gives studios the edge to scale and thrive in a high-velocity, agent-driven era.

March 27, 2026

by Sasha Medvedovsky

· 2,636 Views

The Hidden Cost of Flaky Tests in Test Automation

Flaky tests erode developer trust, slow delivery, and waste engineering time. Learn why flakiness happens and how teams restore reliability in test automation.

March 27, 2026

by Sancharini Panda

· 2,666 Views

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

· 4,052 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

· 8,581 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

· 3,026 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

· 3,092 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

· 2,231 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

· 2,786 Views · 1 Like

Stop Leap-Second AI Drift in IoT Streams With PySpark

Leap seconds can corrupt timestamps and trigger AI drift in fintech IoT systems. Learn about drift types and how PySpark streaming fixes them in real time.

March 27, 2026

by Ram Ghadiyaram

CORE

· 2,188 Views · 1 Like

Engineering Capacity Plans for Load-Shedding in High-Demand Enterprise Apps

This article provides a practical approach to capacity planning and demonstrates load-shedding patterns for large-scale enterprise applications.

March 27, 2026

by Amit Kumar Padhy

· 1,832 Views

From Stream to Strategy: How TOON Enhances Real-Time Kafka Processing for AI

The TOON data format specifically targets the propagation of structured, validated, and semantically consistent data, thereby reducing ambiguity in real time.

March 27, 2026

by Gautam Goswami

CORE

· 2,021 Views