Data Engineering Resources

Tools for Building Deterministic LLM Systems

LLMs are never deterministic, but with sufficient testing, you can push LLM-driven workflows close to the reliability bar of traditional software.

February 19, 2026

by Cornelius Renken

· 2,378 Views

Mastering Serverless Data Pipelines: AWS Step Functions Best Practices for 2026

AWS Step Functions is central to modern serverless data engineering, yet many teams struggle to build pipelines that scale reliably in production.

February 19, 2026

by Jubin Abhishek Soni

CORE

· 1,931 Views

The Future of Agentic AI

Agentic AI replaces passive chatbots with goal-driven agents, while MCP standardizes tools to enable safe, scalable human-AI collaboration.

February 19, 2026

by John Vester

CORE

· 2,598 Views · 2 Likes

The Developer’s Guide to Local LLMs: Building, Running, and Scaling With Ollama

The article discusses local LLMs through practical examples and, in depth, examines their limitations and specific aspects of real-world use.

February 19, 2026

by Iurii Iurchenko

· 2,646 Views · 5 Likes

Embedding Store as a Platform on AWS: OpenSearch + Bedrock + S3 Needs SLAs, Governance, and Quotas

Vector search is not "just OpenSearch." It just needs to be run as a platform with SLAs, governance, and quotas to control drift, leaks, and out-of-control costs.

February 19, 2026

by Anusha Kovi

CORE

· 1,275 Views · 1 Like

Production-Ready Observability for Analytics Agents: An Open Telemetry Blueprint Across Retrieval, SQL, Redaction, and Tool Calls

Standardize analytics agent observability with OpenTelemetry spans for policy, retrieval, SQL, verification, redaction, tools, capturing proof without sensitive payloads

February 18, 2026

by Anusha Kovi

CORE

· 2,012 Views · 1 Like

Mastering the Gemini 3 API: Architecting Next-Gen Multimodal AI Applications

Explore Google Gemini 3 API’s architecture, native multimodality, and agentic workflows with a hands-on guide to building a production-ready multimodal AI.

February 18, 2026

by Jubin Abhishek Soni

CORE

· 1,728 Views · 1 Like

Functional Scaffolding for LLM Solutions

Break down LLM-agent workflows into mini-checkpoints with validation and oversight — so you don’t rely on opaque model internals alone.

February 18, 2026

by ganesh s

· 1,418 Views

Trust No Agent: How to Secure Autonomous Tools on Your Machine

Most developers run autonomous agents with zero isolation. This guide teaches you how to build defense in depth to contain the blast radius.

February 17, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 3,291 Views · 4 Likes

The Human-in-the-Loop AI: Reviving the Lost Art of Procedure Manuals

In the rush to automate everything, we forgot the most important API: the human operator. Here is an architectural pattern using Gen AI to fix broken documentation.

February 17, 2026

by Dippu Kumar Singh

· 1,966 Views · 1 Like

Beyond Ingestion: Teaching Your NiFi Flows to Think

Stop just moving data with NiFi — make it smarter. Here's how to embed an AI model right into your flow using a Java Custom Processor.

February 17, 2026

by Madhusudhan Dasari

· 1,652 Views · 1 Like

Design and Implementation of Cloud-Native Microservice Architectures for Scalable Insurance Analytics Platforms

How cloud-native microservices transform insurance analytics by enabling scalability, real-time processing, and seamless modernization of legacy platforms.

February 17, 2026

by Afroz Mohammed

· 1,711 Views

Leading Through the Chaos of Large-Scale Cloud Operations: 7 Best Practices

Following operational hygiene and best practices when handling large-scale incidents is critical to mitigating the impact faster and in a safe way.

February 17, 2026

by Venkat Maithreya Paritala

· 1,207 Views

The Citizen Developer Boom: How Generative AI Lowers the Barrier to Entry

Traditional "Citizen Development" initiatives often fail due to skill gaps and lack of support. Here's a pattern for democratizing development by using GenAI APIs.

February 17, 2026

by Dippu Kumar Singh

· 1,238 Views · 1 Like

From Prompts to Platforms: Scaling Agentic AI (Part 1)

Scaling agentic AI requires platform-level design: robust messaging, memory, model orchestration, prompts, agent meshes, and safety guardrails, not just better models.

February 17, 2026

by VIVEK KATARYA

· 1,579 Views

AI Transformation Anti-Patterns (And How to Diagnose Them)

AI initiatives fail for the same reasons Agile transformations did: The majority of failures result from people, culture, and processes, not technology.

February 17, 2026

by Stefan Wolpers

CORE

· 1,705 Views · 1 Like

Automatic Data Correlation: Why Modern Observability Tools Fail and Cost Engineers Time

Your observability stack is complete. So why does debugging still take hours, sifting through data across eight different tools?

February 16, 2026

by Thomas Johnson

CORE

· 1,327 Views · 1 Like

Breaking the Vendor Lock in Network Automation: A Pure Python Architecture

Server automation is largely solved, but networks remain manual due to multi-vendor complexity. Here’s a Python-based solution to automate network operations.

February 16, 2026

by Dippu Kumar Singh

· 1,359 Views

Stop Fine-Tuning for Everything: A Decision Tree for RAG vs Tuning vs Tools

Fine-tuning isn’t the first fix; use RAG for knowledge, tools for control, and fine-tune only after you know the real failure.

February 16, 2026

by Sai Teja Erukude

· 1,832 Views

Building a Self-Correcting GraphRAG Pipeline for Enterprise Observability

Self-correcting GraphRAG uses LangGraph agents to autonomously traverse knowledge graphs and search into a deterministic, multi-hop reasoning system.

February 16, 2026

by Vamshidhar Parupally

· 2,219 Views

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