Data Engineering Resources

Orchestrating Microservices with Dapr: A Unified Approach

Explore how Dapr simplifies microservices orchestration, enabling scalable and secure microservices without infrastructure complexity.

May 20, 2025

by Vigneshwaran Manivelmurugan

· 3,041 Views

Next-Gen IoT Performance Depends on Advanced Power Management ICs

Energy-efficient chips are essential for future connected devices, ensuring durability and extended operation in diverse settings.

May 20, 2025

by Emily Newton

· 3,006 Views

Kullback–Leibler Divergence: Theory, Applications, and Implications

Kullback–Leibler divergence (KL divergence) is a statistical measure that quantifies how one probability distribution differs from a second reference distribution.

Updated May 20, 2025

by Shailendra Prajapati

· 1,895 Views

Manual Sharding in PostgreSQL: A Step-by-Step Implementation Guide

Implement manual PostgreSQL sharding with simple SQL routing functions and measure performance gains through benchmarking.

May 20, 2025

by Aditya Karnam Gururaj Rao

· 3,134 Views · 3 Likes

Building Reliable LLM-Powered Microservices With Kubernetes on AWS

This article explores how to design, build, and deploy reliable, scalable LLM-powered microservices using Kubernetes on AWS, covering best practices for infrastructure.

May 20, 2025

by Rajarshi Tarafdar

· 4,676 Views · 2 Likes

Building an AI/ML Data Lake With Apache Iceberg

Learn how Apache Iceberg powers AI/ML data lakes with time travel and schema flexibility, shown via a full Python-based feature store implementation.

May 20, 2025

by Anant Kumar

· 2,276 Views · 1 Like

Tired of Spring Overhead? Try Dropwizard for Your Next Java Microservice

You'll learn how to set up your first Dropwizard project, create a RESTful API, and run it with an embedded Jetty server — all using minimal boilerplate.

May 20, 2025

by Mohit Menghnani

CORE

· 5,724 Views · 5 Likes

Secrets Sprawl and AI: Why Your Non-Human Identities Need Attention Before You Deploy That LLM

Your RAG implementation can expose secrets in some unexpected ways. Secure your LLM deployments and scrub knowledge bases to prevent your secrets from leaking.

May 20, 2025

by Dwayne McDaniel

· 2,930 Views · 1 Like

How Kubernetes Cluster Sizing Affects Performance and Cost Efficiency in Cloud Deployments

Learn how Kubernetes cluster sizing impacts performance and cost efficiency. Learn best practices for optimal resource management and cloud deployment success.

May 20, 2025

by Hitesh Jodhavat

· 4,823 Views · 1 Like

Cloud Security and Privacy: Best Practices to Mitigate the Risks

Ransomware attacks, outages, and human errors all threaten your data. What cloud security and privacy measures should you take to address them?

May 20, 2025

by Milosz Jesis

· 2,802 Views · 2 Likes

Operational Principles, Architecture, Benefits, and Limitations of Artificial Intelligence Large Language Models

Large Language Models (LLMs) are advanced AI systems that generate human-like text by learning from extensive datasets and employing deep learning neural networks.

May 19, 2025

by Venkata Suresh Babu Chilluri

· 2,225 Views · 1 Like

How to Ensure Cross-Time Zone Data Integrity and Consistency in Global Data Pipelines

Managing data across time zones requires using UTC for consistency, applying correct time zone conversions, and handling DST transitions carefully.

May 19, 2025

by Srinivas M

· 2,900 Views · 1 Like

Navigating the LLM Landscape: A Comparative Analysis of Leading Large Language Models

Here is an in-depth analysis comparing top LLMs, including OpenAI and its exciting contenders like LangChain, Anthropic, Cohere, Google, and more.

Updated May 19, 2025

by Jorge Torres

· 3,528 Views · 2 Likes

Metrics at a Glance for Production Clusters

Cut through the complexity and spotlight the essential metrics you need on your radar to quickly detect and address issues in production Kubernetes clusters.

May 19, 2025

by Ruturaj Kadikar

· 3,589 Views · 2 Likes

AI-Driven Test Automation Techniques for Multimodal Systems

Learn how AI-powered test automation improves reliability and efficiency in multimodal AI systems by addressing complex testing challenges effectively.

May 19, 2025

by Gaurav Sharma

· 2,060 Views · 4 Likes

The Smart Way to Talk to Your Database: Why Hybrid API + NL2SQL Wins

Discover why the future of database interaction — it's a smart hybrid of solid backend architecture and AI-powered NL2SQL assistance.

May 19, 2025

by Dmitry Narizhnykh

CORE

· 6,825 Views · 3 Likes

Integrating Model Context Protocol (MCP) With Microsoft Copilot Studio AI Agents

Model Context Protocol (MCP) integrates seamlessly with Copilot Studio, enabling AI agents to access real-time data and interoperate.

May 19, 2025

by Aravind Nuthalapati

CORE

· 22,593 Views · 1 Like

Endpoint Security Controls: Designing a Secure Endpoint Architecture, Part 2

This outlines a layered approach to endpoint security, covering Zero Trust, Secure by Default, device approval, hardening, patching, malware protection, and encryption.

May 16, 2025

by Akanksha Pathak

CORE

· 4,299 Views · 1 Like

Unit Testing Large Codebases: Principles, Practices, and C++ Examples

This guide shares best practices for writing scalable unit tests in large C++ codebases, covering dependency injection, Google Test, and Google Mock.

May 16, 2025

by Smarth Behl

· 3,368 Views · 2 Likes

The Full-Stack Developer's Blind Spot: Why Data Cleansing Shouldn't Be an Afterthought

Full-stack developers often focus on clean code but neglect clean data, leading to performance issues, security vulnerabilities, and frustrated users.

May 16, 2025

by Farah Kim

· 3,303 Views · 2 Likes

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