Software Design and Architecture Resources

Observability for Agents and Workflows: Tracing Prompts, Tool Calls, and Business Outcomes End-to-End

Learn how to trace AI agents end to end, from prompts and tool calls to business outcomes, with observability practices for production workflows.

June 5, 2026

by Srinivas Chippagiri

CORE

· 5,648 Views · 2 Likes

Is the Data Warehouse Dead? 3 Patterns From Enterprise Architecture That Answer This Question

No, but its role has fundamentally changed. Here is what I have seen work, after building data platforms at enterprise scale across multiple industries.

June 5, 2026

by Nabarun Bandyopadhyay

· 5,284 Views · 1 Like

Spring AI Advisors: Chat Memory, Token Tracking, and Message Logging

Part 3 of a step-by-step tutorial that decorates the implementation with Spring AI advisors to demonstrate how certain production concerns may be addressed.

June 5, 2026

by Horatiu Dan

CORE

· 3,793 Views · 4 Likes

Why Round-Robin Won't Save You: Load Balancing Challenges in Data Streaming Services With Heterogeneous Traffic

Throughput-based load balancing breaks down when streaming messages have heterogeneous processing costs — the fix is balancing on actual per-partition resource usage.

June 5, 2026

by Semyon Slepov

· 3,463 Views · 1 Like

Why Your Test Automation Is Always Behind the Code And the Architecture That Fixes It

Most QA teams are stuck in a manual scripting loop. Here's the requirement-driven architecture that eliminates the coverage gap permanently.

June 5, 2026

by Waqar Hashmi

· 3,899 Views

Advanced Error Handling and Retry Patterns in Enterprise REST Integrations

Blind retries amplify outages fast. Classify failures first, jitter your backoff, and circuit-break early before cascading.

June 4, 2026

by Anil guntupalli

· 3,705 Views · 1 Like

Beyond Manual Annotation: Engineering Self-Correcting Pseudo-Labeling Pipelines

This article details a resilient pseudo-labeling architecture. It combines Redis ingestion, Matryoshka embeddings, XGBoost to neutralize self-training confirmation bias.

June 4, 2026

by Harshith Narasimhan Srivatsa

· 2,493 Views

Real-Time AI Inference at Scale Using Cloud Run, GPUs, and Vertex AI

Build scalable threat intel pipelines with Python, STIX/TAXII APIs, and Elasticsearch. Normalize data, preserve context, and enable fast, reliable detection.

June 4, 2026

by khadarvali shaik

· 2,504 Views

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 2

Build a Slack bot using AWS Bedrock and MCP to answer GitHub questions. Learn setup, architecture, and how to extend it with new tools and data sources.

June 4, 2026

by Sangharsh Agarwal

· 3,089 Views

Compliance Automated Standard Solution (COMPASS), Part 11: Compliance as Code, the OSCAL MCP Server Way

How AI-native tooling is finally closing the loop between compliance personas and OSCAL artifacts with an MCP-standardized, AI-agent-ready interface.

June 4, 2026

by Yuji Watanabe

· 3,146 Views · 1 Like

Building Threat Intelligence Pipelines Using Python, APIs, and Elasticsearch

STIX/TAXII in, ECS normalized, provenance preserved deterministic IDs, correct bulk writes, ingest pipelines keep threat indicator data reliable and queryable under load.

June 3, 2026

by Krishnaveni Musku

· 3,443 Views

Identity in Action

A practical guide to SSO migration covering risks, MFA, phased rollout, and governance to ensure secure identity transitions without disruption.

June 3, 2026

by Kapil Chakravarthy Sanubala

· 3,455 Views · 5 Likes

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 1

Building a Slack bot with traditional APIs led to 400 lines of code. Using MCP and AWS Bedrock reduced complexity, enabling scalable, tool-driven automation.

June 3, 2026

by Sangharsh Agarwal

· 3,457 Views · 2 Likes

Compliance Automated Standard Solution (COMPASS), Part 10: How OSCAL Mapping Paves the Way for Continuous Compliance Scalability

Mapping Model is the missing architectural layer that transforms multi-framework compliance from exponential complexity to a linear scale.

June 3, 2026

by Vikas Agarwal

· 2,778 Views

Securing the AI Host: Spring AI MCP Server Communication With API Keys

Part 2 of a step-by-step tutorial that integrates an AI assistant with two dedicated MCP servers and secures the communication.

June 3, 2026

by Horatiu Dan

CORE

· 2,859 Views · 3 Likes

MuleSoft MCP and A2A in Production: What 17 Recipes Reveal

MuleSoft MCP and A2A shipped in 2025. Zero practitioner guides exist beyond basic setup. 17 recipes reveal the implementation ladder teams are missing.

June 3, 2026

by Balachandra Shakar Bisetty

· 1,654 Views

Multi-Scale Feature Learning in CNN and U-Net Architectures

Multi-scale feature learning helps CNNs and U-Net models combine global context with fine details, improving accuracy in tasks like image segmentation.

June 3, 2026

by Akhil Madineni

CORE

· 2,041 Views · 2 Likes

The Missing `bandit` for AI Agents: How I Built a Static Analyzer for Prompt Injection

Static analysis for LLM agents that flags prompt-injection risks—like confused deputy flows and dynamic prompts—before runtime, improving security and auditability.

June 2, 2026

by Sanjay Krishnegowda

· 2,647 Views · 2 Likes