ContentPosts from @iamsumesh..
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@faun shared a link, 4 months, 1 week ago
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The reality of GitOps application recreation

52%of teams believe they're ace at cloning apps from Git. High-performers?70%of them share in this delusion. Yet, lurking infrastructure wrinkles often deflate their grand plans. GitOps, that wild ride, inspires confidence. It dips, then soars. But just when enthusiasts think they're cruising, they .. read more  

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@faun shared a link, 4 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  

Implementing High-Performance LLM Serving on GKE: An Inference Gateway Walkthrough
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@faun shared a link, 4 months, 1 week ago
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AI is making developers faster, but at a cost

AI adoption edges code quality up by 3.4% and speeds up reviews by 3.1%, but beware—a 7.2% nosedive in delivery stability rears ugly security holes.Mask AI’s risky behavior with afortress-like infrastructure, a central vault for secrets,and a transparency upgrade to reclaim stability and nail compli.. read more  

AI is making developers faster, but at a cost
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@faun shared a link, 4 months, 1 week ago
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Server-Driven UI: Agile Interfaces Without App Releases

Server-driven UI (SDUI) shifts UI control to the server, allowing for instant, dynamic updates without app releases. JSON payloads define components, improving agility but requiring client-side rendering adjustments. Complex UI changes may still need app updates due to missing client-side components.. read more  

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@faun shared a link, 4 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  

Unlocking High-Performance AI/ML in Kubernetes with DRANet and RDMA
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@faun shared a link, 4 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  

Critical NVIDIA Container Toolkit Flaw Allows Privilege Escalation on AI Cloud Services
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@faun shared a link, 4 months, 1 week ago
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Upcoming changes to the Bitnami catalog

Bitnamiclears out the virtual cobwebs by tucking its oldDebian-based imagesinto a digital time capsule, also known as theLegacy repository. It throws a friendly nudge to devs: get with the times and swap to the "latest" images. In production-ville, serious users should hitch a ride on theBitnami Sec.. read more  

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@faun shared a link, 4 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, 4 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  

Building scalable secrets management in hybrid cloud environments
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@faun shared a link, 4 months, 1 week ago
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Kubernetes Scaling Strategies

Horizontal Pod Autoscaler(HPA) cranks up pods based on CPU, memory, or custom quirks. A dream for stateless adventures, but you'll need a metrics server.Vertical Pod Autoscaler(VPA) fine-tunes CPU and memory for pods. Works like a charm for jobs where scaling out is sketchy, though it demands restar.. read more  

Kubernetes Scaling Strategies