Data Engineering Resources

Shifting Bottleneck: How AI Is Reshaping the Software Development Lifecycle

Continuous data-driven insights are critical for a successful and lasting AI adoption that goes beyond the initial hype phase.

March 10, 2026

by Ralf Huuck

· 4,017 Views · 2 Likes

Designing Production-Grade GenAI Data Pipelines on Snowflake: From Vector Ingestion to Observability

Learn to build production-ready GenAI pipelines on Snowflake with delta-aware ingestion, scalable retrieval, and observability for reliability and cost control.

March 10, 2026

by Abhijit Ubale

· 2,807 Views · 1 Like

Data Privacy Engineering for AI Models: What Developers Need to Build In

A technical discipline that embeds data privacy protection into AI architectures across data ingestion, training, and model serving.

March 10, 2026

by Sowjanya Karri

· 2,481 Views · 1 Like

AI Is Rewriting How Product Managers and Engineers Build Together

AI breaks the traditional handoff between product and engineering. Success will depend on how PMs and engineers share tradeoffs around cost, latency, and risk.

March 10, 2026

by Raman Aulakh

· 3,651 Views · 2 Likes

How We Rebuilt a Legacy HBase + Elasticsearch System Using Apache Iceberg, Spark, Trino, and Doris

We replaced HBase + Elasticsearch with an Iceberg lakehouse, cutting cost and complexity while supporting analytics and near-real-time access.

March 10, 2026

by Mikhail Povolotskii

· 4,182 Views · 1 Like

Optimizing Data Loader Jobs in SQL Server: Production Implementation Strategies

Accelerate SQL Server loads with bulk ops, partitioning, columnstore, minimal logging, smart batching, and tuned server settings, reducing production load times by 3–10x.

March 10, 2026

by arvind toorpu

CORE

· 3,762 Views

The AI Cost-Cutting Fallacy: Why "Doing More with Less" is Breaking Engineering Teams

Replacing engineers with AI creates technical debt. True success comes from investing in upskilling, not cutting headcount.

March 10, 2026

by Vitalii Oborskyi

· 1,961 Views

Augmenting Your Dev Org with Agentic Teams

Agentic AI teams boost dev orgs by taking routine tasks, freeing humans for big innovation. Use them as leverage to build more, faster, and better.

March 9, 2026

by Adam Mattis

· 3,964 Views · 1 Like

AI in Patient Portals: From Digital Access to Intelligent Healthcare Experiences

Traditional patient portals are functional but limited. AI enables personalization, proactive engagement, and operational efficiency.

March 9, 2026

by Muhammed Harris Kodavath

· 3,393 Views · 1 Like

Beyond Django and Flask: How FastAPI Became Python's Fastest-Growing Framework for Production APIs

How the async-first framework captured 40% of new Python developers in 2025 and why enterprise teams are making the switch in early 2026

March 9, 2026

by Dinesh Elumalai

CORE

· 5,834 Views

How to Use AWS IAM Identity Center for Scalable, Compliant Cloud Access Control

This article explains how AWS IAM Identity Center centralizes access control and helps teams manage secure, compliant access across AWS environments.

March 9, 2026

by Ankush Madaan

· 2,361 Views

Square, SumUp, Shopify: Data Streaming for Real-Time Point-of-Sale (POS)

POS systems are transforming into real-time, AI-driven platforms, fueled by mobile payments, Kafka, and Flink to empower every retail merchant.

March 9, 2026

by Kai Wähner

CORE

· 3,435 Views

Best Practices to Make Your Data AI-Ready

In this article, I share best practices for building a high-quality data management framework to support AI initiatives.

March 9, 2026

by Mykhailo Kopyl

· 4,864 Views · 1 Like

Software Testing in LLMs: The Shift Towards Autonomous Testing

Software testing is undergoing its biggest transformation in decades in the LLM era. Intelligent testing and self-verifying agents redefine testing across SDLC pipelines.

March 6, 2026

by Kathiresan Jayabalan

· 3,364 Views

Hands-On With Kubernetes 1.35

Tested K8s 1.35's four key features on Azure VM: zero-downtime pod resizing, gang scheduling, structured auth, and node capabilities. All scripts and configs on GitHub.

March 6, 2026

by Shamsher Khan

CORE

· 3,265 Views · 1 Like

Failure Handling in AI Pipelines: Designing Retries Without Creating Chaos

AI systems require disciplined retry strategies. By applying bounded backoff policies, teams can prevent retry storms and control cost amplification.

March 6, 2026

by Aditya Gupta

· 2,692 Views

Reducing Daily PM Overhead With a Chat-Based AI Agent

An experiment in reducing project management overhead by removing small but costly routines around Jira updates, status clarifications, and daily reporting.

March 6, 2026

by Evgeniy Tolstykh

· 2,491 Views

When Million Requests Arrive in a Minute: Why Reactive Auto Scaling Fails and the Predictive Fix

Learn how to handle flash crowds with predictive, schedule-aware autoscaling, readiness checks, and tier-based capacity to prevent downtime and lag.

March 6, 2026

by Shalini Sudarsan

· 2,574 Views · 1 Like

The A3 Handoff Canvas

The A3 Handoff Canvas helps teams use AI responsibly by defining task splits, inputs, outputs, validation, failure rules, and records for repeatable workflows.

March 6, 2026

by Stefan Wolpers

CORE

· 2,638 Views

Deterministic AI With OpenSymbolicAI

An agentic solution that follows the PlanAndExecute approach can leverage the power of LLMs while executing deterministic code to provide reliable results.

March 6, 2026

by Karthik Viswanathan

· 2,775 Views

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