Data Engineering Resources

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

· 3,856 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

· 3,156 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

· 3,992 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

· 2,188 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

· 3,266 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

· 4,623 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

· 3,025 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

· 3,017 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

· 2,529 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

· 2,124 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

· 2,378 Views

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

· 2,334 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

· 2,357 Views

Implementing Sharding in PostgreSQL: A Comprehensive Guide

PostgreSQL sharding distributes data by key across servers for horizontal scale. This guide shows how to shard a Sales table with practical SQL.

March 5, 2026

by arvind toorpu

CORE

· 4,223 Views · 2 Likes

42% of AI Projects Collapse in 2025 — The Battle-Tested Framework Wall Street Uses

Adopt the Three Lines of Defence (3LoD) framework: a banking-proven risk management system with three oversight layers. Result: 22% faster AI deployment + fewer failures.

March 5, 2026

by Nidhi Sharma

· 1,394 Views · 3 Likes

Consensus in Distributed Systems: Understanding the Raft Algorithm

Raft consensus simplifies reliability in distributed systems; essential for software engineers and architects making fault‑tolerant design decisions.

March 5, 2026

by Ammar Husain

CORE

· 1,854 Views · 1 Like

Why “End-to-End” AI Will Always Need Deterministic Guardrails

End-to-end AI is probabilistic and prone to hallucinating unsafe physical actions. True safety requires wrapping these models in deterministic guardrails.

March 5, 2026

by Nishant Bhanot

· 1,507 Views · 2 Likes

From Rational Agents to LLM Agents

Learn how AI agents act rationally with AIMA’s theory and AIA’s practical architecture, balancing autonomy, feedback, and reliable decision-making.

March 5, 2026

by Trần Ngọc Minh

· 948 Views · 1 Like

Clean Code in the Age of Copilot: Why Semantics Matter More Than Ever

Your codebase is essentially a prompt: messy abstractions and "God Classes" pollute the context window, causing AI models to hallucinate or generate bugs.

March 5, 2026

by Nikita Kothari

· 1,756 Views · 3 Likes

Why Front-End Performance Issues Are Commonly Back-End Issues

A significant portion of the front-end performance issues that arise are not due to the frontend at all but to the back-end APIs, dependencies, and infrastructure.

March 5, 2026

by Satyam Nikhra

· 2,229 Views · 1 Like

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