Latest Articles

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

· 2,713 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

· 4,124 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

· 8,630 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

· 3,080 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

· 3,155 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

· 2,291 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

· 3,036 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

· 2,236 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

· 1,883 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

· 2,058 Views

DNS Propagation Doesn't Have to Take 24 Hours

DNS propagation doesn’t have to take 24–48 hours. Learn how TTL settings control DNS caching and how to make updates in minutes, not days.

March 27, 2026

by Karl Hughes

· 2,933 Views · 2 Likes

Secure Managed File Transfer vs APIs in Cloud Services

APIs handle real‑time interactions; secure MFT handles large, compliant transfers. A hybrid approach delivers both speed and reliability.

March 27, 2026

by Anil Soni

· 3,178 Views · 1 Like

Understanding Dropped Updates in Feed Generation Systems in Modern Applications

In this article, understand what dropped updates in feed generation systems are, why they are important, and how to prevent them.

March 27, 2026

by Amit Sonar

· 1,883 Views

Taming the JVM Latency Monster

For heaps exceeding 50 GB, choose G1 for balanced stability, Shenandoah for <10ms concurrent compaction, or ZGC for terabyte-scale orchestration with <1ms pauses.

March 26, 2026

by Theo Ezell

· 4,384 Views · 5 Likes

Automating Maven Dependency Upgrades Using AI

Build an AI-driven Maven dependency upgrade pipeline that detects outdated libraries, applies safe updates, generates notes, and auto-creates tested PRs.

March 26, 2026

by Sravan Reddy Kathi

· 4,003 Views · 2 Likes

MinIO AIStor and Ampere® Computing Reference Architecture for High-Performance AI Inference

MinIO AIStor delivers high-performance, scalable object storage for AI workloads with Ampere CPUs, optimized for inference, analytics, and cloud-native environments.

March 26, 2026

by Tinh Nguyen

· 2,606 Views · 1 Like

Microsoft Responsible AI Principles Explained for Engineers

This is for engineers, architects, and ML practitioners who want to move beyond theory. It reframes Microsoft’s responsible AI principles as engineering responsibilities

March 26, 2026

by Indirakumar Rajendiran

· 2,695 Views · 1 Like

Isolation Boundaries in Multi-Tenant AI Systems: Architecture Is the Only Real Guardrail

In multi-tenant AI systems, true isolation needs structural boundaries across storage, vector namespaces, execution, and queue layers to survive retries and concurrency.

March 26, 2026

by Aditya Gupta

· 2,325 Views