Data Engineering Resources

From Prompt Loops to Systems: Hosting AI Agents in Production

AI agents fail in production because they rely on prompts instead of systems. Without proper hosting, memory, tool access, and controls, they become unreliable.

February 23, 2026

by Amit Chaudhary

· 1,087 Views

Azure AI Search at Scale: Building RAG Applications with Enhanced Vector Capacity

Azure AI Search now supports massive vector scale (tens of millions per index) with better performance and cost efficiency.

February 23, 2026

by Jubin Soni, FBCS

CORE

· 1,175 Views

From Command Lines to Intent Interfaces: Reframing Git Workflows Using Model Context Protocol

Model Context Protocol enables intent-driven GitHub workflows in the IDE, replacing command sequences with safe, structured natural language interactions.

February 20, 2026

by Aishwarya Murali

· 1,972 Views

The Missing Primitive in Data Platforms: Agent Contracts for Tool Calls

Define agent contracts per tool, including success criteria, SLOs, golden traces, allowed data, rollback triggers, canary releases, and retry limits.

February 20, 2026

by Anusha Kovi

CORE

· 1,260 Views · 1 Like

Amazon Q Developer for AI Infrastructure: Architecting Automated ML Pipelines

Master Amazon Q Developer for ML infrastructure. Automate SageMaker pipelines, optimize GPU resources, and accelerate AI development cycles.

February 20, 2026

by Jubin Soni, FBCS

CORE

· 1,840 Views · 1 Like

Architecting Zero-Trust Database Access in Kubernetes With Vault Dynamic Secrets

Replace static passwords with dynamic, ephemeral credentials using Vault and sidecar injection to automate database security in Kubernetes workloads.

February 20, 2026

by Niranjan Kumar Sharma

· 3,768 Views · 2 Likes

Why End-to-End Testing Fails in Microservice Architectures

End-to-end testing fails in microservices due to non-determinism, complex environments, slow feedback, and unclear ownership, making tests flaky and unreliable.

February 20, 2026

by Alok Kumar

· 2,600 Views

Queueing Theory for LLM Inference

Learn how to size GPU capacity, batching, and concurrency for strict latency SLOs in production-ready LLM inference with this analysis of queuing theory applications.

February 20, 2026

by Dhyey Mavani

· 1,987 Views

From Prompts to Platforms: Scaling Agentic AI (Part 2)

Agentic AI platforms scale by combining evaluation, resilience, governance, telemetry-driven iteration, low-touch onboarding, and resource management.

February 19, 2026

by VIVEK KATARYA

· 2,069 Views · 1 Like

AWS SageMaker HyperPod: Distributed Training for Foundation Models at Scale

Master distributed training at scale with AWS SageMaker HyperPod's resilient cluster management and high-performance interconnects.

February 19, 2026

by Jubin Soni, FBCS

CORE

· 1,522 Views

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

· 2,677 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 Soni, FBCS

CORE

· 2,048 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

· 2,819 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

· 2,933 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

· 1,403 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

· 2,222 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 Soni, FBCS

CORE

· 1,861 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

· 1,497 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

· 3,644 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

· 2,077 Views · 1 Like

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