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

ExternalDatabase
AWS Database Blog

SQL Server to Aurora PostgreSQL conversion with AI agents for AWS DMS

Learn how to use AI agents with AWS DMS Schema Conversion to orchestrate SQL Server to Amazon Aurora PostgreSQL schema conversion through natural language. See how the conversion engine processes T-SQL, how the agent drives the workflow, and how to interpret and resolve CRITICAL action items using decision frameworks for common incompatibilities.

Advanced (300)Amazon AuroraAWS Database Migration Service
AWS Database BlogRead original
ExternalMobile Development
Apple Developer News

Upcoming changes to Rosetta support for Intel-based macOS apps

In 2020, we introduced Apple silicon for Mac computers, providing Rosetta as a translation layer during the transition period. As announced at WWDC last year, we’re now concluding this transition. What this means for developers who have macOS apps: macOS 26.4 or later: Users may receive a system notification when launching apps that rely on Rosetta, alerting them to update to an Apple silicon native version. macOS 27: Final release to support Rosetta — Intel-only apps will no longer run on Mac

Apple Developer NewsRead original
ExternalSoftware Engineering
DZone

Stop Hardcoding Database Checks: Building a Metadata-Driven Data Quality Framework

In high-volume data platforms, hardcoding validation logic into individual processing pipelines creates significant operational drag. As an enterprise data asset footprint grows, maintaining manual checks for hundreds of tables inevitably leads to mounting technical debt, silent schema drift, and a fragmented audit trail. To achieve data governance at scale, data architects must decouple validation rules from the execution engine. By utilizing a centralized metadata repository to dynamically gen

DZoneRead original
ExternalAI
NVIDIA Technical Blog

How to Size GPUs for AI Inference and TCO Without Overspending

The surge in AI adoption is transforming everything from chatbots to content generation. Still, a common pain point remains: How can organizations confidently... The surge in AI adoption is transforming everything from chatbots to content generation. Still, a common pain point remains: How can organizations confidently size GPU resources for inference workloads and optimize Total Cost of Ownership (TCO)? With a dizzying mix of latency targets, model choices, quirky traffic patterns, and budget c

NVIDIA Technical BlogRead original

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