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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.

ExternalCybersecurity
BleepingComputer

XBOW tests Anthropic's Mythos Preview for offensive security

Anthropic's Mythos Preview was highly effective at finding vulnerability candidates, especially when analyzing source code. XBOW explores how the model performed across exploit discovery, reverse engineering, and live-site validation. [...]

Security
BleepingComputerRead original
ExternalAI
AWS Machine Learning Blog

Build an agentic incident triage assistant with Amazon Quick and New Relic

This post shows engineering teams how to apply that principle to one of the most time-sensitive workflows in engineering: incident triage. You will build a custom incident triage assistant agent using Amazon Quick that orchestrates a response with the New Relic Model Context Protocol (MCP) Server and Asana through native integrations. From a single prompt, the Amazon Quick agent investigates the incident, assembles a root cause analysis (RCA) brief with evidence links, and creates a tracked Asan

Amazon Quick SuiteCustomer Solutions
AWS Machine Learning BlogRead original
ExternalCloud
Google Cloud Blog

Report: GKE Inference Gateway delivers up to 92% faster AI responses

As generative AI moves from experimental pilots to massive production environments, the efficiency of your infrastructure  becomes the ultimate differentiator. One way to get the most out of it and minimize costly accelerator idle time is to leverage the Google Kubernetes Engine (GKE) Inference Gateway, which intelligently routes generative AI workloads based on real-time model server metrics. Instead of relying on traditional, naive round-robin load balancing — which frequently triggers expensi

NetworkingAI & Machine LearningAI infrastructure
Google Cloud BlogRead original
ExternalCloud
Google Cloud Blog

Storage Insights datasets: Enabling org-wide operational discovery with activity insights

As enterprise storage footprints scale to billions of objects, AI applications and agentic workloads are fundamentally shifting the role of storage from a passive repository to the foundation of the data platform. This is driven by a surge in unstructured model data and the billions of actions performed on those objects, including session logs and audit trails. To manage this and answer questions about cost, operations, and security, storage and platform admins need to go beyond knowing what dat

Storage & Data Transfer
Google Cloud BlogRead original
ExternalCloud
Google Cloud Blog

How to unlock true ROI in software development – a deep dive into the latest DORA research

How do you prove the business value of generative AI to your teams?  Technology and finance leaders need to show the clear business value of AI projects to secure ongoing funding. While measuring return on investment (ROI) is a key part of validating your technical strategy, long-term success ultimately depends on building the organizational systems and culture needed to make AI work. To help you evaluate the costs and business benefits of AI, we recently shared the DORA: ROI of AI-assisted soft

AI & Machine Learning
Google Cloud BlogRead original

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