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

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The Hacker News

SAP Patches CVSS 9.9 NetWeaver ABAP Flaw That Could Expose or Modify Data

SAP has rolled out updates to address multiple vulnerabilities as part of its July 2026 security updates, including a critical flaw in SAP NetWeaver Application Server ABAP. The vulnerability in question is CVE-2026-44747 (CVSS score: 9.9), an out-of-bounds write flaw that allows an authenticated attacker to leverage logical errors in memory management to cause a memory corruption that could

The Hacker NewsRead original
ExternalSoftware Engineering
DZone

GraphRAG in Practice Using Spring AI, Neo4j, and Goodreads Data

Large language models (LLMs) are impressive — until they are not. If you ask one about your internal data, your product catalog, or your users' reviews, it will either hallucinate an answer or admit it does not know. The solution most teams reach for is retrieval-augmented generation (RAG). This retrieves relevant data first, injects it into the prompt as context, and lets the model answer from that context rather than from memory.  GraphRAG takes this a step further. Instead of retrieving only

DZoneRead original
ExternalCloud
Google Cloud Blog

Google named a Leader in the 2026 IDC MarketScape for Worldwide Foundation Model Software

For years, we’ve built with a clear priority: putting the practical needs of the enterprise first. Long before generative AI dominated the headlines, we were focused on building the global infrastructure, security frameworks, and data platforms that power the world's largest organizations. We’ve always believed that technology is only as good as its reliability, security, and predictability in production. By anchoring our frontier research to this enterprise foundation, we can deliver models bui

AI & Machine Learning
Google Cloud BlogRead original
ExternalDevOps
Kubernetes Blog

Building a Custom Metrics Exporter for Kubernetes

Kubernetes ships with built-in awareness of CPU and memory, but most real-world scaling decisions depend on signals that live entirely outside that narrow window: how many messages are waiting in a queue, how long the last batch job took, how many active WebSocket connections a pod is holding. When the built-in metrics are not enough, a metrics exporter bridges that gap. This post walks through writing one from scratch, packaging it as a container, and wiring it into a cluster so that Prometheus

Kubernetes BlogRead original

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