Data Engineering Resources

AI-Powered Triathlon Coaching: Building a Modern Training Assistant With Claude and Garmin

Learn how to use MCP technology in conjunction with a Claude desktop application to create your own personal coach with access to your live metrics.

September 25, 2025

by Pier-Jean MALANDRINO

CORE

· 6,814 Views · 1 Like

AWS Glue Crawlers: Common Pitfalls, Schema Challenges, and Best Practices

Learn key challenges and best practices for using AWS Glue crawlers, from handling CSV schema issues to schema evolution, partitions, and ETL jobs.

September 25, 2025

by Saradha Nagarajan

· 4,111 Views

Is Anyone There? Listening to Your Users Through Conversational AI Observability

Your AI chatbot is failing in ways traditional analytics can't see. This leaves you, the Product Manager, guessing what to fix based on vague user complaints.

September 25, 2025

by Harikrishnan Ramadass

· 1,835 Views

Lessons Learned From Building Production-Scale Data Conversion Pipelines

Converting large-scale enterprise data between systems is less about perfection than about making the right tradeoffs and engineering for scale and flexibility.

September 25, 2025

by Charles Wong

· 1,452 Views

The New API Economy With LLMs

The rise of powerful LLMs is creating a new API economy where natural language replaces structured code as the primary interface.

September 24, 2025

by Rachit Jain

· 3,820 Views · 2 Likes

Key Principles of API-First Development for SaaS

In this article, I’d like to share my experience and best practices for API-first development in SaaS, highlighting five key aspects you should consider.

September 24, 2025

by Mykhailo Kopyl

· 2,997 Views · 1 Like

Using TanStack Query for Scalable React Applications

With built-in caching, retries, and background refetching, TanStack Query takes the pain out of CRUD operations in large-scale React applications.

September 24, 2025

by Poornakumar Rasiraju

· 3,530 Views

Resilient Data Pipelines in GCP: Handling Failures and Latency in Distributed Systems

Learn resilience strategies for Google Cloud data pipelines. Balance latency, reliability, and recovery with Pub/Sub, Dataflow, BigQuery, and SRE practices.

September 24, 2025

by Balakrishna Aitha

· 2,040 Views · 2 Likes

Shipping Responsible AI Without Slowing Down

Add robustness, monitoring, alignment, and systemic safety into the normal delivery pipeline using plain-language objectives and policy-as-code SLOs.

September 24, 2025

by Sarvenaz Ranjbar

· 1,942 Views · 4 Likes

LLMs at the Edge: Decentralized Power and Control

Deploying LLMs at the edge decentralizes intelligence, enhances privacy, reduces latency, increases autonomy, and empowers local control.

September 23, 2025

by Bhanuprakash Madupati

· 23,074 Views · 4 Likes

Running AI/ML on Kubernetes: From Prototype to Production — Use MLflow, KServe, and vLLM on Kubernetes to Ship Models With Confidence

Run scalable, reliable AI/ML inference on Kubernetes with MLflow, KServe, and AutoML, and explore deployment, orchestration, and performance at scale.

September 23, 2025

by Boris Zaikin

CORE

· 8,075 Views · 3 Likes

AI Readiness: Why Cloud Infrastructure Will Decide Who Wins the Next Wave

Most cloud teams aren’t AI ready: Only 51% of infra is automated, and there are major governance gaps and rising costs. Infra maturity (not GPUs) will decide who thrives.

September 23, 2025

by Aharon Twizer

· 2,855 Views · 1 Like

Why the Principle of Least Privilege Is Critical for Non-Human Identities

Overprivileged non-human identities expose enterprises to massive risk. Enforcing least privilege with automation and visibility is critical for security.

September 23, 2025

by Dwayne McDaniel

· 1,863 Views · 3 Likes

AI Infrastructure for Agents and LLMs: Options, Tools, and Optimization

This article explores the diverse infrastructure options and tools that are available for deploying and optimizing AI agents and large language models (LLMs).

September 22, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 4,998 Views · 7 Likes

Isolation Level for MongoDB Multi-Document Transactions (Strong Consistency)

MongoDB’s multi-document transactions are ACID-compliant with Snapshot Isolation to prevent anomalies. MongoDB guarantees DBMS-like consistency.

September 22, 2025

by Franck Pachot

· 3,723 Views · 3 Likes

How to Build Secure Knowledge Base Integrations for AI Agents

Learn how to build secure AI knowledge base integrations that protect data, enforce permissions, and power trusted enterprise agents.

September 22, 2025

by Gil Feig

· 3,472 Views · 2 Likes

Integrating AI Into Test Automation Frameworks With the ChatGPT API

Learn how integrating AI can generate realistic data for an automation framework, detect log anomalies, and enhance the reliability of CI/CD runs.

September 22, 2025

by Serhii Romanov

· 4,335 Views · 7 Likes

Spring REST API Client Flavors: From RestTemplate to RestClient

Client-server synchronous communication via REST, focusing on the client while presenting two distinct implementations with RestTemplate and RestClient.

September 22, 2025

by Horatiu Dan

CORE

· 3,611 Views · 5 Likes

Stop Reactive Network Troubleshooting: Monitor These 5 Metrics to Prevent Downtime

The difference between reactive and proactive monitoring comes down to tracking the right network metrics and catching issues before they impact users.

September 22, 2025

by Sascha Neumeier

· 3,053 Views · 2 Likes

Azure IOT Cloud-to-Device Communication Methods

Learning and choosing the correct cloud-to-device communication method to send a message to the device using the Azure IoT Hub to build an effective IoT system.

September 22, 2025

by Anup Rao

· 3,020 Views

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