Updates and recent posts about Vertex AI..

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@faun shared a link, 5 months, 1 week ago

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Implementing High-Performance LLM Serving on GKE: An Inference Gateway Walkthrough

GKE Inference Gatewayflips LLM serving on its head. It’s all about that GPU-aware smart routing. By juggling the KV Cache in real time, it amps up throughput and slices latency like a hot knife through butter... read more

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@faun shared a link, 5 months, 1 week ago

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Stop Wasting Time: The Only Guide You’ll Ever Need to Setup/Fix SSH on EC2

GitHub's giving passwords the boot for HTTPS logins. Say hello topublic-key SSHor a Personal Access Token. So, load up those SSH keys—or hit the road... read more

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@faun shared a link, 5 months, 1 week ago

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Unlocking High-Performance AI/ML in Kubernetes with DRANet and RDMA

DraNetslaps networking woes straight out the door. It natively handles RDMA in Kubernetes, so you can toss those convoluted scripts. Now in beta and weighing only 50MB, it offers deployments that are lean, speedy, and unyieldingly secure... read more

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@faun shared a link, 5 months, 1 week ago

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Critical NVIDIA Container Toolkit Flaw Allows Privilege Escalation on AI Cloud Services

A critical container escape vulnerability (CVE-2025-23266) in NVIDIA Container Toolkit poses a severe threat to managed AI cloud services, earning a CVSS score of 9.0 out of 10.0. This flaw allows37%of cloud environments to potentially be accessed by attackers using a three-line exploit, enabling co.. read more

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@faun shared a link, 5 months, 1 week ago

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Setting up Prometheus Stack on Kubernetes

Devtronis Kubernetes monitoring on overdrive. It ropes inPrometheusandGrafana, automates the pesky setup, and shoots real-time insights straight into a slick UI. Effort? Minimal. Results? Maximal... read more

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@faun shared a link, 5 months, 1 week ago

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OpenShift LACP bonding performance expectations

Red Hat OpenShift and NIC bonding for high availability is getting popular in data centers. Consider layer2/layer2+3 configurations for balanced traffic distribution across bonded links. Layer3+4 hashing offers highest throughput but may lead to out-of-order packets due to 802.3ad non-compliance. It.. read more

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@faun shared a link, 5 months, 1 week ago

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Kubernetes Observability with OpenTelemetry | A Complete Setup Guide

OpenTelemetrydelivers a full observability package for Kubernetes—traces, metrics, logs—all without handcuffs to a single vendor. Deployyour own OTEL Collectorson Minikube usingHelm charts. Dive into node and pod-level metrics and grab those can't-miss Kubernetes cluster events... read more

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@faun shared a link, 5 months, 1 week ago

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The Evolution of Virtualization Platforms: The Rise of Managed Services and Local Providers’ Edge Against Hyperscalers

Cozystackwants local cloud providers to flex by deliveringKubernetes-based managed serviceswithout breaking a sweat. Who needs hyperscalers anyway? Built on open-source goodness, it ditches vendor lock-in, giving these providers the freedom to roll out next-gen infrastructures in style... read more

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@faun shared a link, 5 months, 1 week ago

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Building scalable secrets management in hybrid cloud environments

GitGuardian's 2024 reportsounds the alarm:23 million secrets slipped through leaks in 2023. A whopping 70% hung around for months. Talk about a security nightmare! EnterHashiCorp VaultandAkeyless. These tools mastered the multi-cloud juggling act and automated secrets management. Result? A satisfyin.. read more

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@faun shared a link, 5 months, 1 week ago

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Rethinking Node Drains: A Webhook Based Approach to Graceful Pod Removal

Eviction Reschedule Hooksticks its nose in Kubernetes eviction requests, letting operator-managed stateful apps wriggle their way through node drains without breaking a sweat. 🎯.. read more

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.

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