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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.

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

ExternalAI
NVIDIA Technical Blog

Optimizing a Neural Reconstruction Pipeline Using NVIDIA Nsight Developer Tools

NVIDIA Omniverse NuRec is a neural reconstruction pipeline for building high-fidelity 3D representations of real-world environments from multisensor data such... NVIDIA Omniverse NuRec is a neural reconstruction pipeline for building high-fidelity 3D representations of real-world environments from multisensor data such as cameras and lidar. It is used to reconstruct dynamic scenes captured by autonomous vehicle (AV) and robotics platforms into simulation-ready digital environments that can be re

NVIDIA Technical BlogRead original
ExternalCybersecurity
Microsoft Security Blog

​​What’s new in Microsoft Security: June 2026

This month’s updates help security and IT teams strengthen identity and multicloud foundations, protect data wherever it lives, and secure the developer workflows powering AI innovation. The post ​​What’s new in Microsoft Security: June 2026 appeared first on Microsoft Security Blog.

In the Loop
Microsoft Security BlogRead original
ExternalCloud
Google Cloud Blog

Bringing speed and strong cost performance to the market with Gemini Omni Flash and Nano Banana 2 Lite

Great creative happens when your tools move at the speed of your ideas. To help you create rich, reliable experiences while reducing regeneration time and costs, we’re adding two new models to Gemini Enterprise Agent Platform.  First, we’re announcing the general availability of Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image). This model is the fastest and most cost-efficient image generation and editing model within the Nano Banana model family. Whether you're rapid-firing ideas, A/B testing a

AI & Machine Learning
Google Cloud BlogRead original
ExternalCloud
Google Cloud Blog

Modernizing financial services with deployment freedom and transformational AI with AlloyDB Omni

The financial services industry (FSI) operates under a unique set of non-negotiable requirements: the need for strict regulatory compliance, sub-millisecond transactional speeds, and security that verges on impenetrable. Historically, organizations have met these standards by relying on brittle, proprietary database systems, leaving them with massive technical debt, operational overhead, and vendor lock-in. At the same time, financial services companies are facing a series of daunting challenges

Financial ServicesDatabases
Google Cloud BlogRead original
ExternalCloud
Google Cloud Blog

How Schrödinger sped up molecular discovery by 4x with Alphaevolve

Computational chemistry researchers have traditionally faced a frustrating trade-off when simulating molecular interactions: use fast classical force fields that sacrifice precision or rely on accurate quantum-mechanical methods that run too slowly on large jobs.  Machine-learned force fields (MLFFs) close that gap by training neural networks on high-fidelity quantum data. When it comes to modern drug discovery and materials design, though, there’s demand for even faster processing speeds to han

CustomersHealthcare & Life SciencesAI & Machine Learning
Google Cloud BlogRead original
ExternalCloud
Google Cloud Blog

Build agents even faster with Gemini Enterprise Agent Platform’s fully-managed, remote MCP server

A couple of months ago, we announced that over 50 Google-managed MCP servers are available.  Today, we’ll dive into how to use the Gemini Enterprise Agent Platform remote MCP server to securely connect your external AI agents to the resources inside your Google Cloud environment. Connect your IDE to Google Cloud Think of the Agent Platform MCP server as a bridge between your favorite external development tools and your Google Cloud architecture. If you are building an agent in Antigravity CLI or

Developers & PractitionersAI & Machine Learning
Google Cloud BlogRead original
ExternalFrontend Development
Vercel Blog

Run any Dockerfile on Vercel

You have a server in a container. Maybe it's a Go service, a Rails app, a Spring Boot API, or a web server behind nginx. It speaks HTTP. It listens on a port. It just needs somewhere to run. Add a file to your project, and Vercel builds, stores, deploys, and autoscales the image on , so you pay only for the CPU your code uses. No daemon to run locally, registry to set up, or cluster to babysit.Dockerfile.vercelFluid compute Here is a small HTTP server in Go, listening on :$PORT Add a file that

Vercel BlogRead original
ExternalCloud
Google Cloud Blog

Anomaly detection using dynamic thresholds and two-year-long alerts in Cloud Monitoring

Choosing the threshold of an alert policy can be a headache. You have to analyze historical data, aggregate it into semantically meaningful time series, and choose a threshold that matters. If the workload grows, your previously set static threshold might become too low, and your alert might fire too frequently. New workloads might require setting new thresholds, and setting separate thresholds for separate workloads requires creating separate policies, resulting in the annoyance of managing a f

DevOps & SREManagement Tools
Google Cloud BlogRead original

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