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@faun shared a link, 1 month, 4 weeks ago

Which LLM writes the best analytical SQL?

Tinybird threw 19 top LLMs at a 200M-row GitHub dataset, testing how well they could turn plain English into solid SQL. Most models kept their syntax clean—but when it came to writing SQL that actually ran well and returned the right results, they lagged behind human pros. Messy schemas or tricky pr..

Which LLM writes the best analytical SQL?
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@faun shared a link, 1 month, 4 weeks ago

Being on the Same Page During an Incident: Not Actually Telepathy

Collaboration in incident response is crucial for effective resolution, starting with establishing a basic compact among responders. Grounding is a process that ensures alignment and common ground is maintained throughout an incident, encompassing initial common ground, public events so far, and the..

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@faun shared a link, 1 month, 4 weeks ago

Container Logs in Kubernetes: How to View and Collect Them

This guide shows how to wrangle container logs in Kubernetes—usingkubectl, shell tools, structured logging, and the Kubernetes Dashboard. It covers the basics and dives into how to scale up log collection and make observability less painful across clusters...

Container Logs in Kubernetes: How to View and Collect Them
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@faun shared a link, 1 month, 4 weeks ago

v1.34: DRA has graduated to GA

Kubernetes 1.34 turnsDynamic Resource Allocation (DRA)loose into General Availability—enabled by default. That cements native support for high-maintenance gear like GPUs, FPGAs, and any other quirky hardware your workloads need. The release also packs a fresh mix of alpha/beta features: tighter admi..

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@faun shared a link, 1 month, 4 weeks ago

Building a Scalable, Flexible, Cloud-Native GenAI Platform with Open Source Solutions

A fresh reference architecture built withEnvoy AI GatewayandKServebrings order to the GenAI chaos. One clean interface to route requests across internal and external LLMs—locked down with policies. It’s called aTwo-Tier Gateway Architecture. Think of it like a split-brain: external API traffic goes..

Building a Scalable, Flexible, Cloud-Native GenAI Platform with Open Source Solutions
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@faun shared a link, 1 month, 4 weeks ago

v1.34: Introducing CPU Manager Static Policy Option for Uncore Cache Alignment

Kubernetes 1.34 bumps theCPU Manager uncore-cache alignment policyto beta. It’s aimed at nodes withsplit uncore cache architectures. The policy groups all a container’s CPUs under the same uncore cache—cutting latency and easing contention for workloads that hate waiting. System shift:Kubernetes kee..

v1.34: Introducing CPU Manager Static Policy Option for Uncore Cache Alignment
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@faun shared a link, 1 month, 4 weeks ago

v1.34: Service Account Token Integration for Image Pulls Graduates to Beta

Kubernetes v1.34 bumpsServiceAccount token integration for Kubelet Credential Providersto beta. That means image pulls can now ditch long-lived secrets for workload-scoped tokens. Cleaner, safer, and more locked down per ServiceAccount...

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@faun shared a link, 1 month, 4 weeks ago

v1.34: Pod Replacement Policy for Jobs Goes GA

ThePod replacement policyin Kubernetes v1.34 just hit GA. Jobs can now hold off on spinning up new Pods until the old ones arefullygone. No more duplicates per index. No more blowing through quotas or stalling schedulers—big win for workloads like ML training. System shift:This rewires how Jobs hand..

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@faun shared a link, 1 month, 4 weeks ago

Reduce Cloud Cross-Zone Data Transfer Costs with Kubernetes 1.33 trafficDistribution

Kubernetes 1.33 drops a new traffic policy that addszone-local routing. With it, kube-proxy now prefers endpoints in the same availability zone. Translation: less cross-AZ chatter, fewer surprise charges. On AWS, that can chop the usual $0.02/GB cross-AZ fee by up to 85%—especially in EKS clusters j..

Reduce Cloud Cross-Zone Data Transfer Costs with Kubernetes 1.33 trafficDistribution
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Scaling Kubernetes the Right Way: In-Depth Comparison of HPA, VPA, CA, Karpenter, and KEDA

A hands-on breakdown of Kubernetes autoscalers—HPA,VPA,Cluster Autoscaler,Karpenter, andKEDA—maps how each scales pods, nodes, and events. The hot pairing lately?Karpenterfor fast node spin-up, teamed withCloudPilot AIto wrangle Spot instances across 800+ compute types without melting costs...

Scaling Kubernetes the Right Way: In-Depth Comparison of HPA, VPA, CA, Karpenter, and KEDA
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