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Curated links from external sources — not 360Softy original articles.

ExternalSoftware Architecture
AWS Architecture Blog

Introducing the Snowflake and AWS Custom Lens for the AWS Well-Architected Framework

The Snowflake and AWS Custom Well-Architected Framework Lens brings together AWS Well-Architected best practices and Snowflake guidance into a single review experience, with integrated recommendations that reflect how the two services compose in production. In this post, we walk through each pillar, the three access points (AWS Management Console, Kiro, and Snowflake Cortex Code), and how to run your first review.

AnnouncementsAWS Well-Architected ToolFoundational (100)
AWS Architecture BlogRead original
External
The Hacker News

Unpatched Langflow Flaw CVE-2026-5027 Exploited for Unauthenticated RCE

A high-severity unpatched security flaw in Langflow, an open-source low-code platform to build artificial intelligence (AI) applications, has come under active exploitation in the wild, according to findings from VulnCheck. The vulnerability in question is CVE-2026-5027 (CVSS score: 8.8), a case of path traversal that could allow an attacker to write files to arbitrary locations. "The 'POST /

The Hacker NewsRead original
ExternalSoftware Engineering
DZone

Deployment Lessons You Only Learn the Hard Way

Over the last two decades, my code has been deployed in a live environment. I disrupted stress testing processes on Black Friday, rendered user authentication impossible at 2 am, and saw a system handling 40 million users break due to a minor modification in the configuration file.

DZoneRead original
ExternalAI
NVIDIA Technical Blog

Designing Production-Ready Battery Energy Storage Systems for AI Factories

AI factories are changing what data-center infrastructure must do. Unlike traditional data centers, AI factories are built to manufacture intelligence at scale.... AI factories are changing what data-center infrastructure must do. Unlike traditional data centers, AI factories are built to manufacture intelligence at scale. They run power-dense training and inference workloads, increasingly support agentic and reasoning models, and must deliver predictable performance even as compute demand shift

NVIDIA Technical BlogRead original

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