Latest Articles

Managing Changing Hardware/Peripherals in a Robust Point of Sale System

This analysis discusses my thoughts on implementing a secure, scalable architecture to manage changing peripherals through programming to interface.

January 8, 2026

by Vaibhav Rastogi

· 1,587 Views

Handling Logging After Migrating UiPath to Automation Cloud

Learn about logging challenges after migrating UiPath Orchestrator to Automation Cloud and robot-level log ingestion as a scalable observability approach.

January 7, 2026

by RAVINDRA REDDY MADIREDDY

· 2,545 Views · 2 Likes

AWS Bedrock vs Azure OpenAI vs Gemini API: A Practical Comparison

Bedrock = multi-model flexibility, Azure OpenAI = Microsoft-centric enterprise, Gemini = long-context and multimodal with free tier.

January 7, 2026

by Jubin Abhishek Soni

CORE

· 4,753 Views · 1 Like

Implementing Idempotency in Distributed Spring Boot Applications Using MySQL

Implementing idempotency in distributed Spring Boot applications using MySQL row-level locking and transactions to handle concurrent requests safely.

January 7, 2026

by Balakumaran Sugumar

· 5,183 Views · 7 Likes

How to Send .NET Crash Dumps to Slack From an ECS Fargate Task

Get .NET crash dumps from AWS ECS Fargate automatically: leverage Amazon EFS, Amazon S3, AWS DataSync, and AWS Lambda to make debugging easier for your dev team.

January 7, 2026

by Alexander Sharov

· 1,828 Views · 2 Likes

Automated Deployment Using a CI/CD Pipeline (Mule 4 | CloudHub 2.0)

This tutorial demonstrates automated deployment using a CI/CD pipeline with Mule 4. It shows how code pushed to a Git repository triggers deployment automatically.

January 7, 2026

by ARINDAM GOSWAMI

· 2,687 Views · 1 Like

The Hidden Security Risks in ETL/ELT Pipelines for LLM-Enabled Organizations

As LLMs enter data pipelines, ETL/ELT becomes part of the AI security boundary, where untrusted inputs can introduce upstream risks.

January 7, 2026

by Vivek Venkatesan

· 3,445 Views · 2 Likes

Why Small Language Models Are Transforming AI Adoption for Everyone

Small language models (SLMs) enable faster, efficient, and on-device AI, reducing costs while making advanced AI accessible to more users and businesses.

January 7, 2026

by Sanjaykumar Ghinaiya

· 2,253 Views · 1 Like

RPA Validation in Life Sciences: 5 Pitfalls and How to Avoid Them

RPA in life sciences isn’t just about reducing costs or manual effort. It is about building bots that are up to regulations and scale globally.

January 7, 2026

by Venkatesh Kanneganti

· 1,293 Views · 1 Like

Orchestrating Retail-Scale Data on Google Cloud

In this post, learn how to build scalable, reliable retail data pipelines with Google Cloud: Pub/Sub, Dataflow, BigQuery, and Cloud Composer in action.

January 7, 2026

by Balakrishna Aitha

· 1,170 Views

Solving the Cold Start Problem in Edge AI: A Guide to Data-Saving Learning

Update edge AI models efficiently using Mix Up and contribution sampling to overcome domain shift with minimal data, ensuring continuous evolution without forgetting.

January 6, 2026

by Dippu Kumar Singh

· 3,599 Views

Developer Tools That Actually Matter in 2026

The developer tools making real differences today are the ones solving the actual problems we face as developers every day.

January 6, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 8,292 Views · 2 Likes

Metadata, Not Data Volume, Is the Real Bottleneck in Modern Data Lakes

In Apache Iceberg data lakes, growing snapshots and manifests often make metadata resolution — not data scanning — the primary performance bottleneck.

January 6, 2026

by Vivek Venkatesan

· 3,338 Views

Why Data Engineers Need to Think Like Product Managers

Data engineers who think like product managers build more valuable, trusted, and user-centric data systems; they focus on outcomes, ownership, and UX, not just pipelines.

January 6, 2026

by harshraj bhoite

· 2,284 Views

BYOLM with Spring AI & MCP: Secure, Swappable AI Everywhere

Spring AI and MCP empower BYOLM by enabling swappable language models with privacy, control, and extensibility. Learn more about this approach below.

January 6, 2026

by Soham Sengupta

· 1,558 Views

Understanding Parquet Scans: How Readers Skip Work and Stay Fast

Parquet accelerates scans by skipping data through metadata driven pushdowns. This article explains how the main mechanisms work in practice.

January 6, 2026

by Hitarth Trivedi

· 2,475 Views · 1 Like

6 Software Development and DevOps Trends Shaping 2026

In 2026, software teams scale delivery safely and efficiently using AI agents, semantic layers, platform engineering, supply-chain security, observability, and FinOps.

January 6, 2026

by Boris Zaikin

CORE

· 27,837 Views · 6 Likes

A Practical Guide to Semantic Caching With Redis LangCache

Learn how to use Redis LangCache to semantically cache LLM prompts and responses, reducing inference costs and improving performance.

January 6, 2026

by Subhashini Raman

· 2,904 Views · 2 Likes

Effectively Managing AI Agents for Testing

Agentic AI can transform testing—but only if it’s controlled. Start small, add guardrails, integrate tools, and scale autonomy once reliability and cost are proven.

January 6, 2026

by John Vester

CORE

· 4,457 Views · 1 Like

Unlocking Hidden Value in Dirty Data: A Practical NLP Pattern for Legacy Records

Legacy systems are full of free-text fields where valuable business data goes to die. NLP pipelines turn messy maintenance logs into structured, actionable insights.

January 5, 2026

by Dippu Kumar Singh

· 1,333 Views · 5 Likes

Latest Articles - DZone