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@faun shared a link, 3 months ago
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v1.34: DRA Consumable Capacity

Kubernetes 1.34 rolls in **consumable capacity** for Dynamic Resource Allocation (DRA). That means device plugins can now carve up resources—GPU memory, NIC bandwidth, etc.—into precise slices for Pods, ResourceClaims, and namespaces. The scheduler tracks it all, so nothing spills over... read more  

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@faun shared a link, 3 months ago
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v1.34: Recovery From Volume Expansion Failure (GA)

Kubernetes v1.34 bumps **automated recovery from botched PVC expansions** to GA. Users can now fix bad volume size requests—no admin, no drama. It cleans up unused quota, slows down retry spam, and surfaces progress with new PVC status fields... read more  

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@faun shared a link, 3 months ago
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Kubernetes Security: Best Practices to Protect Your Cluster

A new JetBrains IDE plugin throws Kubernetes security best practices straight into your deployment manifests—right where they belong. Think: checks for `runAsRoot`, privileged mode, `hostPath`, host ports, and sketchy sysctls. No hand-waving. It enforces stuff like: - Default `runAsNonRoot` - Drop .. read more  

Kubernetes Security: Best Practices to Protect Your Cluster
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@laura_garcia shared a post, 3 months, 1 week ago
Software Developer, RELIANOID

Secure Boot Advanced Targeting (SBAT): Scaling Boot Security 🔐

Discover how SBAT enhances Secure Boot by introducing a smarter way to handle vulnerabilities, reducing overhead, and ensuring your system's boot process stays secure. Learn how it works, how it addresses scalability, and why it's a game-changer for modern boot security across Linux and Windows envi..

KB-Secure Boot Advanced Targeting
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@laura_garcia shared a post, 3 months, 1 week ago
Software Developer, RELIANOID

Cyber Security & Cloud Expo Europe in Amsterdam

🔐 On 24–25 September 2025, RELIANOID will be at Cyber Security & Cloud Expo Europe in Amsterdam! Join us to explore how we enable secure, scalable, and Zero Trust–ready application delivery. 👉 https://www.relianoid.com/about-us/events/cyber-security-cloud-expo-2025/ #CyberSecurity#Cloud#ZeroTrust#De..

cybersecurity and cloud expo amsterdam event
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@laura_garcia shared a post, 3 months, 1 week ago
Software Developer, RELIANOID

Cyber Security & Cloud Expo Europe in Amsterdam

🔐 On 24–25 September 2025, RELIANOID will be at Cyber Security & Cloud Expo Europe in Amsterdam! Join us to explore how we enable secure, scalable, and Zero Trust–ready application delivery. 👉 https://www.relianoid.com/about-us/events/cyber-security-cloud-expo-2025/ #CyberSecurity#Cloud#ZeroTrust#De..

cybersecurity and cloud expo amsterdam event
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@laura_garcia shared a post, 3 months, 1 week ago
Software Developer, RELIANOID

🔐 Industrial networks face increasing complexity and evolving cyber threats.

To strengthen defenses, many organizations are moving beyond traditional segmentation and adopting microsegmentation — a strategy that creates independent, secure zones to better protect critical assets. We’ve prepared a clear diagram to illustrate how defense-in-depth and microsegmentation can be a..

Industrial Zero-Trust Micro-Segmentation
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@anjali shared a link, 3 months, 1 week ago
Customer Marketing Manager, Last9

What is Asynchronous Job Monitoring?

Know how asynchronous job monitoring tracks background tasks, ensuring they finish reliably, perform well, and stay visible at scale.

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@laura_garcia shared a post, 3 months, 1 week ago
Software Developer, RELIANOID

🚀 We’re heading to TechEx Europe 2025 in Amsterdam on 24–25 September!

Join us at Europe’s premier enterprise technology event to explore the future of AI, cybersecurity, IoT, cloud, and digital transformation—and discover how RELIANOID ensures secure, scalable, and high-performance application delivery for modern enterprises. #TechExEurope#DigitalTransformation#Enterp..

techex amsterdam event
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@anjali shared a link, 3 months, 1 week ago
Customer Marketing Manager, Last9

Kubernetes Service Discovery Explained with Practical Examples

Understand Kubernetes Service Discovery with clear examples of Services, Endpoints, DNS, Ingress, and headless setups in action.

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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.