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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.

kubernetes
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.