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@kala shared a link, 1 month ago
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Building a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac

NVIDIA just droppedIsaac for Healthcare v0.4, and it’s a big one. Headliner: the newSO-ARM starter workflow- a full-stack sim2real pipeline built for surgical robotics. It covers the whole loop: spin up synthetic and real-world data capture, train withGR00t N1.5, and deploy straight to 6-DOF hardwar.. read more  

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@devopslinks shared a link, 1 month ago
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Visibility at Scale: How Detects Sensitive Data Exposure

Segment gutted its old permissions table—bloated, slow, tangled in logic - and replaced it with a lean, service-based setup. The new stack runs onPostgres,Redis, and a sharply tunedGo API, cutting query times from 1400ms to under 100ms. Clean, fast, and centralized... read more  

Visibility at Scale: How Detects Sensitive Data Exposure
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@devopslinks shared a link, 1 month ago
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Terraform vs. Pulumi vs. Crossplane: Choosing the right IaC Tool for your platform

Terraform, Pulumi, and Crossplane take very different routes to Infrastructure as Code.Terraformsticks to a declarative HCL model with a massive provider ecosystem.Pulumiflips the script—developers write infrastructure in real languages, so logic is testable and dynamic.Crossplane? It runs inside Ku.. read more  

Terraform vs. Pulumi vs. Crossplane: Choosing the right IaC Tool for your platform
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@devopslinks shared a link, 1 month ago
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How Google, Amazon, and CrowdStrike broke millions of systems

AWS. Google Cloud. Azure. CrowdStrike. All hit hard by dumb bugs with big blast radii - race conditions, nulls, misfired configs. Small cracks. Massive fallout. AWS's DNS automation knocked out its DynamoDB endpoint, dragging 113 services down with it. Google Cloud’s global APIs fell over from a str.. read more  

How Google, Amazon, and CrowdStrike broke millions of systems
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@devopslinks shared a link, 1 month ago
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Notes on switching to Helix from vim

Helix keeps things lean - and that's the point. It ships withLSP support, multi-cursor editing, and smart search baked in. No dotfile gymnastics required. That alone has peeled some loyalists off Vim and Neovim. Still rough around the edges. No persistent undo. No auto-reload. Markdown support's a b.. read more  

Notes on switching to Helix from vim
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@devopslinks shared a link, 1 month ago
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Creating VMs in separate ZFS filesystems

A dev split KVM/QEMU VMs out of a shared ZFS directory and into their own ZFS filesystems. Why? Snapshot rollbacks. Finer-grained storage control. Clean. The new setup rides a fresh ZFS pool tuned with a 64KBrecordsizefor QCOW2 images. That lines up virtual disk performance with the real IO under th.. read more  

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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

EU's Cybersecurity standards for IoT devices

🔒 The EU enforces strict cybersecurity standards for IoT devices: securing networks, protecting privacy, and preventing fraud. At RELIANOID, we share this open-source commitment to resilience — helping organizations build safer, more reliable digital ecosystems. #CyberSecurity#IoT#OpenSource#Digital..

Blog IoT Security RELIANOID
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@anjali shared a link, 1 month ago
Customer Marketing Manager, Last9

Top 9 Web Application Performance Monitoring Tools for 2025

Explore 2025’s top APM tools — from open-source stacks to enterprise platforms — and see how each helps you monitor smarter.

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@kaptain shared an update, 1 month ago
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CNCF Launches Certified Kubernetes AI Conformance Program at KubeCon

Kubernetes

The Cloud Native Computing Foundation launched the Certified Kubernetes AI Conformance Program to set standards for AI workloads on Kubernetes, ensuring reliability and consistency.

CNCF Launches Certified Kubernetes AI Conformance Program at KubeCon
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@kala shared an update, 1 month ago
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GPT-5.1 Launches With 'Instant' and 'Thinking' Models - Here's What's New

ChatGPT

OpenAI announces GPT-5.1, enhancing ChatGPT and OpenAI APIs with improved intelligence and conversational abilities, offering two models for better reasoning and personalization, initially for paid users.

GPT-5.1 Launches With 'Instant' and 'Thinking' Models - Here's What's New
Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.

Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.

Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.