Latest Articles

Why Standard Test Automation Misses the Failures That Matter in AI Agent Systems

Evaluation has real costs (inference spend, latency, storage) — budget for it explicitly, and treat every user-reported regression as a permanent new test case.

July 28, 2026

by Dimple Bajaj

· 2,965 Views · 4 Likes

From Idle Infrastructure to Elastic Capacity: Rethinking Kubernetes Scaling

As Kubernetes deployments expand across hybrid and multicloud environments, permanently provisioned infrastructure becomes an expensive default. Here's how scale-from-zero aligns capacity with actual demand instead of worst-case scenarios.

July 28, 2026

by DZone Staff

· 12,177 Views · 2 Likes

Microservices Architecture in Production: 7 Engineering Decisions That Determine Success or Failure

Microservices succeed when they're designed with clear service boundaries, reliable communication, independent data ownership, and strong operational practices.

July 28, 2026

by Mahipal Nehra

· 3,268 Views · 4 Likes

AI-Native Developers: Why Fast Authoring Is Creating Bad Debuggers

AI lets juniors write code instantly, but leaves them unable to debug. With coding now being easy, debugging is the ultimate human superpower.

July 28, 2026

by Rakshath Naik

· 2,041 Views · 1 Like

Building Reliable Data Pipelines for Enterprise Analytics Using PySpark

Build reliable PySpark pipelines with techniques for data validation, schema evolution, transformation design, partition management, and operational monitoring at scale.

July 28, 2026

by Harsh Patel

· 2,054 Views · 1 Like

Engineering Production Agentic Systems: Part 2: The Guardrails

Learn how production AI agents use tool contracts, authorization scopes, audit trails, and risk-based human approval to safely take autonomous actions.

July 28, 2026

by Ram Ravishankar

· 2,433 Views · 1 Like

How Does an LLM Request and Response Cycle Work? A Full Walkthrough

Learn how an LLM request and response cycle works, from the second you hit send to the moment the last word lands on your screen.

July 28, 2026

by NaveenKumar Namachivayam

CORE

· 2,927 Views · 3 Likes

More Tests, More Confidence? Test Suites Are Investment Portfolios

Learn how to manage test suites as investment portfolios by measuring evidence value, reducing maintenance costs, and pruning liabilities.

July 28, 2026

by Stelios Manioudakis

CORE

· 3,378 Views · 2 Likes

Why Developers Must Be Part of the Customer Validation Process

Build-measure-learn cycles bring customer feedback into agile development and help engineers validate features and guide product decisions.

July 27, 2026

by Susan Isaac

· 2,366 Views · 3 Likes

OpenTelemetry's OpAMP Potential Far Beyond Supporting Collectors

A look at the Open Agent Management Protocol (OpAMP) that has been created by the CNCF OpenTelemetry project and how it could deliver beyond OTel's needs.

July 27, 2026

by Phil Wilkins

· 2,413 Views · 1 Like

Why SQL Server Applications Break on PostgreSQL and How Compatibility Layers Fix It

SQL Server migrations break at the application layer. A compatibility layer like Babelfish keeps T-SQL running while the engine moves to PostgreSQL.

July 27, 2026

by Minesh Chande

· 3,351 Views · 2 Likes

Designing Secure REST APIs With Spring Boot

Learn how to secure Spring Boot REST APIs with JWT validation, method-level authorization, input validation, rate limiting, CORS, secure logging, and more.

July 27, 2026

by Srivenkata Gantikota

· 5,530 Views · 2 Likes

Designing a Page Object Model + TestNG Hybrid Framework: Patterns That Actually Scale

Basic Page Object Model doesn't scale. Here are the four real-world patterns needed to maintain a 2,400-test Selenium suite.

July 27, 2026

by Rajasekhar sunkara

· 12,183 Views · 1 Like

From DevOps to AIOps: How Agentic AI Tamed Our Multi-Substrate Chaos

Legacy VMware on-prem, reactive AWS, and a ticket queue that never emptied — we deployed agentic AI across both substrates and changed how the team operates entirely.

July 27, 2026

by Mayank Jain

· 1,976 Views · 2 Likes

Stop Fine-Tuning Everything: A Decision Framework for Model Adaptation

When to prompt, when to fine-tune, when to pre-train — a decision framework to get the most out of your data and the most bang for your buck.

July 27, 2026

by Supriya Vijay

· 2,875 Views · 1 Like

Building a Voice-Controlled Graph Assistant With Neo4j, LiveKit, and OpenAI

Build a voice assistant that lets you ask natural-language questions to a Neo4j graph database and hear the answers spoken back.

July 27, 2026

by Akmal Chaudhri

CORE

· 3,116 Views · 1 Like

Securing Model Context Protocol Servers: 4 Gates From Code to Production

Secure MCP servers against prompt injection, data leaks, and denial-of-wallet with four practical, OWASP-aligned gates from code to production. Runnable code.

July 24, 2026

by Viquar Khan

CORE

· 4,398 Views · 3 Likes

Engineering Production Agentic Systems: Part 1: The Pipeline

Learn how to engineer production-ready AI agent context with a five-stage pipeline for retrieval, enrichment, verification, compression, and prompt injection.

July 24, 2026

by Ram Ravishankar

· 3,171 Views · 1 Like

Building a Runtime Control Plane for Agentic AI: Lessons From Shipping Real Agents in Production

Practical patterns, code examples, and hard-earned lessons from implementing enforceable guardrails around autonomous agents in real enterprise environments.

July 24, 2026

by Geetha Sreenivasa Rao Repalle

· 3,822 Views · 3 Likes

Lift-and-Shift vs. Modernize: A Decision Framework for Enterprise Workloads

This five-question framework helps you decide for each workload whether to rehost, re-platform, or rebuild before you migrate.

July 24, 2026

by Srinivasarao Thumala

· 4,294 Views · 2 Likes

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