Data Engineering Resources

Debugging a Spark Driver Out of Memory (OOM) Issue With Large JSON Data Processing

This article draws on real-world debugging experience and aims to provide insights into Spark's memory management challenges.

October 29, 2025

by Raju Ansari

· 2,297 Views · 2 Likes

HSTS Beyond the Basics: Securing AI Infrastructure and Modern Attack Vectors

HTTP Strict Transport Security (HSTS) is a web security policy mechanism that helps protect websites against protocol downgrade attacks and cookie hijacking.

October 29, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,102 Views · 4 Likes

Building Cloud Ecosystems With Autonomous AI Agents: The Future of Scalable Data Solutions

Autonomous AI agents transform cloud ecosystems by automating data workflows, enhancing scalability, governance, and real-time analytics for resilient operations.

October 28, 2025

by Aravind Nuthalapati

CORE

· 10,474 Views · 1 Like

Unlocking Scalable Data Lakes: Building With Apache Iceberg, AWS Glue, and S3

Apache Iceberg + AWS Glue + S3 bring ACID, schema evolution, and time travel to data lakes—fixing schema drift, small files, and cost sprawl at enterprise scale.

October 28, 2025

by Vivek Venkatesan

· 3,277 Views · 1 Like

Production-Ready Multi-Agent Systems: From Theory to Enterprise Deployment

Learn in this article why single AI agents fail and how multi-agent systems used by Uber, LinkedIn, and Klarna achieve 3x faster performance and 40% lower costs.

October 28, 2025

by Praveen Chinnusamy

· 24,130 Views · 2 Likes

Amazon Bedrock Guardrails for GenAI Applications

Guardrails let you create responsible AI policies for generative AI apps. Set limites on topics and content, filter to block or mask unwanted outputs, then apply, test, and version guardrails across models for safety and consistency.

October 28, 2025

by Prabhakar Mishra

· 2,464 Views

Data Migration in Software Modernization: Balancing Automation and Developers’ Expertise

Learn how to balance automation tools and developer logic to ensure clean transitions, reduce time to market, and build scalable software foundations.

October 28, 2025

by Sergey Laptick

· 1,030 Views

Understand and Optimize AWS Aurora Global Database

The default settings in AWS Aurora Global may not work for everyone. This article explains various settings and their implications in availability and consistency.

October 28, 2025

by Subhash Kovela

· 1,783 Views · 1 Like

Unpacking MCP Security: What You Need to Know

MCP supercharges AI agents by bridging LLMs and real-world tools, but may open the door to security gaps. A quick look at security challenges and how to resolve them.

October 28, 2025

by Rushil Shah

· 1,641 Views

Writing (Slightly) Cleaner Code With Collections and Optionals

See how utility methods provided by Kilo's Collections and Optionals classes can help you write more readable and maintainable Java code.

October 27, 2025

by Greg Brown

· 2,690 Views · 1 Like

Set Up Spring Data Elasticsearch With Basic Authentication

Guide to configure SSL communication with Elasticsearch via Spring Data Elasticsearch. Additionally, the communication is secured with BASIC authentication.

October 27, 2025

by Arnošt Havelka

CORE

· 2,068 Views

Using Schema Registry to Manage Real-Time Data Streams in AI Pipelines

Learn how schema registries ensure data consistency, integrity, and scalability in real-time AI pipelines using Apache Kafka and modern streaming tools.

October 27, 2025

by Gautam Goswami

CORE

· 2,371 Views · 3 Likes

Anthropic’s Model Context Protocol (MCP): A Developer’s Guide to Long-Context LLM Integration

Anthropic’s Model Context Protocol (MCP) standardizes how AI applications provide context to LLMs. Learn more about MCP and its practical uses.

October 27, 2025

by Naresh Dulam

· 5,398 Views · 4 Likes

Series (1/4): Toward a Shared Language Between Humans and Machines — Why Machines Still Struggle to Understand Us

The absence of lived experience and a "world model" in current algorithms creates a deep divide between human intention and algorithmic operation.

October 27, 2025

by Frederic Jacquet

CORE

· 1,999 Views · 2 Likes

Enterprise-Grade Document Intelligence: Cloud Big Data AI With YOLOv9 and Spark on AWS

Automate document analysis with YOLOv9, Apache Spark, and AWS. Boost speed, accuracy, and fraud detection across finance, healthcare, insurance, and more.

October 27, 2025

by Ram Ghadiyaram

CORE

· 2,482 Views · 4 Likes

Renaming Columns in PySpark: withColumnRenamed vs toDF

Learn why toDF() outperforms withColumnRenamed in PySpark. Compare their impact on Spark’s DAG, performance, and readability for large-scale pipelines.

October 27, 2025

by Sameer Shukla

CORE

· 1,536 Views · 1 Like

Kubernetes Debugging Recipe: Practical Steps to Diagnose Pods Like a Pro

Adopt step-by-step debugging with kubectl, ephemeral containers, and AI-powered RCA to find root causes faster. Add predictive autoscaling and anomaly detection.

October 24, 2025

by Chandrasekhar Rao Katru

· 4,679 Views · 8 Likes

From Distributed Monolith to Composable Architecture on AWS

Learn in this article how to fix distributed monoliths with Domain-Driven Composable Architecture and build independent, composable microservices on AWS.

October 24, 2025

by Elakkiya Daivam

· 8,442 Views · 1 Like

Strategic Domain-Driven Design: The Forgotten Foundation of Great Software

Most teams skip strategic DDD and focus only on code. Learn how domains, contexts, and patterns align software with business reality.

October 24, 2025

by Otavio Santana

CORE

· 3,031 Views · 3 Likes

Cloud Agnostic MLOps: How to Build and Deploy AI Models Across Azure, AWS, and Open Source

Avoid cloud lock-in when building AI. Learn how to use open-source MLOps tools like Airflow, Kubeflow, and MLflow to build, deploy, and monitor models anywhere.

October 24, 2025

by Raghava Dittakavi

CORE

· 3,336 Views · 1 Like

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