Data Engineering Resources

Availability to Accountability: Running AI Workloads Responsibly in the Cloud

In this article, learn the core challenges of running AI in the cloud — availability, reliability, observability, and responsibility — and how to overcome them.

August 7, 2025

by Sam Prakash Bheri

· 2,214 Views

What the AI Coding Experience Senior Software Engineers Want

Explore existing problems with AI-assisted coding. AI tools need to give developers more structure, more control, and more ways to test and trust what gets built.

August 7, 2025

by Bobur Umurzokov

· 2,306 Views · 8 Likes

Introduction to Data-Driven Testing With JUnit 5: A Guide to Efficient and Scalable Testing

Use JUnit 5’s @ParameterizedTest with @EnumSource and @MethodSource to run tests with multiple data inputs, improve test coverage, and efficiency for robust applications.

August 7, 2025

by Otavio Santana

CORE

· 3,470 Views · 6 Likes

Understanding Agentic AI: From Simple Chatbots to Autonomous Decision-Making Systems

The term "agentic AI" has become increasingly popular in tech circles, but what does it actually mean? Learn what makes agentic AI different from RAG.

August 7, 2025

by Swati Tyagi

· 2,288 Views · 2 Likes

Cloud Sprawl Is a Given; Cloud Complexity Doesn’t Have to Be

Cloud sprawl is inevitable — but complexity isn’t. IaC alone isn’t enough. Real control comes from visibility, automation, and enforcing every change through code.

August 6, 2025

by Aharon Twizer

· 2,410 Views · 1 Like

jBPM as AI Orchestration Platform

Zero "agentic AI". Zero "cloud native". Zero other hype. Just an approach to achieving an efficient AI-centric automation using 100% free open-source components.

August 6, 2025

by Sergey Lukyanchikov

· 2,078 Views · 3 Likes

Building Scalable, Resilient Workflows With State Machines on GCP

Learn how to build scalable, resilient backend workflows on Google Cloud using state machines, Workflows, Eventarc, and more with real-world use cases.

August 6, 2025

by Ravi Teja Thutari

CORE

· 4,739 Views · 2 Likes

Model Context Protocol (MCP): A Comprehensive Guide to Architecture, Uses, and Implementation

This article explores MCP’s architecture, technical features, real-world use cases, and how it improves on traditional AI function-calling methods.

August 6, 2025

by Nilesh Bhandarwar

· 8,726 Views · 4 Likes

Build Your Own Customized ChatGPT Using OpenAI

Learn to build a no-code AI bot to generate test cases from user stories using ChatGPT. Customize tone, behavior, and export structured test scripts easily.

August 6, 2025

by Gaurav Sharma

· 2,771 Views · 3 Likes

Integration Testing for Go Apps Using Testcontainers and Containerized Databases

Learn how to use Testcontainers with Go and the Cosmos DB emulator for fast, isolated integration testing — no complex test environments needed.

August 6, 2025

by Abhishek Gupta

CORE

· 2,745 Views · 2 Likes

Enriching AI With Real-Time Insights via MCP

Introductory article about MCP, a universal adapter that allows AI assistants to access and interact with external systems while maintaining a consistent interface.

August 6, 2025

by Horatiu Dan

CORE

· 1,540 Views · 6 Likes

AI/ML for Engineering Managers: Enhancing Productivity and Quality in Fintech

Learn practical strategies, real-world results, and key considerations for successful AI integration and improve on boosting your engineering metrics.

August 5, 2025

by Purushottam Raj

· 1,813 Views · 3 Likes

Why I Abandoned My 30-Year Open-Source Project

In this article, I share how to use Program Enhanced Text (PET), and why I abandoned Jamal, which is an enterprise-grade open-source PET tool.

August 5, 2025

by Peter Verhas

CORE

· 2,345 Views · 3 Likes

Learn to use AWS SNS (Amazon Simple Notification Service) messaging service to publish a message to an email address as a subscriber using Spring Boot.

August 5, 2025

by Milan Karajovic

· 3,282 Views · 4 Likes

Scalable Distributed Architectures in E-Commerce: Proven Case Studies

Learn how AWS, GCP, and Kubernetes designs achieve resilience, low latency, and massive scalability with real-world blueprints.

August 5, 2025

by Ravi Teja Thutari

CORE

· 4,318 Views · 3 Likes

Create Your Own Custom LLM: Essential Steps and Techniques

A step-by-step journey to create your custom LLM. Learn the science behind AI/ML language models — learning, refining, and alignment.

August 5, 2025

by Lavanya Gupta

· 3,428 Views · 4 Likes

LangGraph Orchestrator Agents: Streamlining AI Workflow Automation

Learn in this article how LangGraph’s Orchestrator-Worker agents enable dynamic task delegation using LLMs for smarter, scalable, and adaptive AI workflows.

August 5, 2025

by Himanshu P

· 3,455 Views · 3 Likes

Building a Simple AIOps Monitoring Dashboard With Prometheus and Grafana

Learn to build a simple AIOps dashboard using Prometheus, Grafana, and ML-based anomaly detection to monitor metrics, set alerts, and prevent failures.

August 5, 2025

by Balajee Asish Brahmandam

· 4,729 Views · 1 Like

Is Your Team AI-Ready? 5 Strategies to Upskill Your Engineers

To get your team AI-ready, focus on culture: solve real problems, share knowledge, experiment safely, mentor peers, and measure outcomes.

August 4, 2025

by Rupesh Dabbir

· 3,425 Views · 5 Likes

Fine-Tuning LLMs Locally Using MLX LM: A Comprehensive Guide

MLX enables local LLM fine-tuning on Mac with LoRA. Train 7B models using 16GB RAM, eliminating cloud costs while maintaining quality.

August 4, 2025

by Aditya Karnam Gururaj Rao

· 11,444 Views

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