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@faun shared a link, 7 months, 4 weeks ago
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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... read more  

Container Logs in Kubernetes: How to View and Collect Them
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@faun shared a link, 7 months, 4 weeks ago
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CNCF Elevates Metal3.io to Incubating Status for Bare-Metal Kubernetes

The CNCF just bumpedMetal3.ioup to incubating status. That’s a clear nod to rising demand forKubernetes-native bare-metal management. Metal3.io wires up physical servers as Kubernetes resources—no VMs in sight. It leans onIronicand theBare Metal Operatorto handle provisioning and lifecycle tasks lik.. read more  

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@faun shared a link, 7 months, 4 weeks ago
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v1.34: PSI Metrics for Graduates to Beta

Kubernetes v1.34 bumpsPressure Stall Information (PSI) metricsto Beta. Now kubelets expose kernel-level resource pressure—CPU, memory, and I/O—through the Summary API and Prometheus. Instead of just tracking how much a resource gets used, PSI shows how often workloads get throttled or blocked. That .. read more  

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@faun shared a link, 7 months, 4 weeks ago
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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.. read more  

Reduce Cloud Cross-Zone Data Transfer Costs with Kubernetes 1.33 trafficDistribution
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@faun shared a link, 7 months, 4 weeks ago
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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... read more  

Scaling Kubernetes the Right Way: In-Depth Comparison of HPA, VPA, CA, Karpenter, and KEDA
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@faun shared a link, 7 months, 4 weeks ago
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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.. read more  

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@faun shared a link, 8 months ago
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How Salesforce Delivers Reliable, Low-Latency AI Inference

Salesforce’s AI Metadata Service (AIMS) just got a serious speed boost. They rolled out a multi-layer cache—L1 on the client, L2 on the server—and cut inference latency from 400ms to under 1ms. That’s over 98% faster. But it’s not just about speed anymore. L2 keeps responses flowing even when the b.. read more  

How Salesforce Delivers Reliable, Low-Latency AI Inference
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@faun shared a link, 8 months ago
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We Needed Better Cloud Storage for Python so We Built Obstore

Obstoreis a new stateless object store that skips fsspec-style caching and keeps its API tight and predictable across S3, GCS, and Azure. Sync and async both work. Under the hood? Fast, zero-copy Rust–Python interop. And on small concurrent async GETs, it reportedly crushes S3FS with up to9x better .. read more  

We Needed Better Cloud Storage for Python so We Built Obstore
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@faun shared a link, 8 months ago
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Open Source is one person

New data from ecosyste.ms drops a hard truth:almost 60% of 11.8M open source projects are solo acts. Even among NPM packages topping 1M monthly downloads, about half still rest on one pair of hands. The world runs on open source. But the scaffolding seems shakier than anyone wants to admit—millions.. read more  

Open Source is one person
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@faun shared a link, 8 months ago
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From Python to Go: Why We Rewrote Our Ingest Pipeline at Telemetry Harbor

Telemetry Harbor tossed out Python FastAPI and rebuilt its ingest pipeline inGo. The payoff?10x faster, no more CPU freakouts, and strongerdata integritythanks to strict typing. PostgreSQL is now the slowest link in the chain—not the app—which is the kind of bottleneck you actuallywant. Means the s.. read more  

From Python to Go: Why We Rewrote Our Ingest Pipeline at Telemetry Harbor