ContentPosts from @vijaysuryakanth..
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Who does the unsexy but essential work for open source?

Oracle led the line-count race in the Linux 6.1 kernel release—beating out flashier open source names. Most of its work isn’t headline material. It’s deep-core stuff: memory management tweaks, block device updates, the quiet machinery real systems run on...

Who does the unsexy but essential work for open source?
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@faun shared a link, 1 day, 6 hours ago

Pinterest Uncovers Rare Search Failure During Migration to Kubernetes

Pinterest hit a weird one-in-a-million query mismatch during its search infra move to Kubernetes. The culprit? A slippery timing bug. To catch it, engineers pulled out every trick—live traffic replays, their own diff tools, hybrid rollouts layered on both the legacy and K8s stacks. Painful, but it ..

Pinterest Uncovers Rare Search Failure During Migration to Kubernetes
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@faun shared a link, 1 day, 6 hours ago

Terraform Validate Disagrees with Terraform Docs

Terraform’s CLI will throw errors on configs that match the docs—because your local provider schema might be stale or out of sync. Docs follow the latest release. Your machine might not. So even supported fields can break validation. Love that for us...

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@faun shared a link, 1 day, 6 hours ago

Scale AI/ML Workloads with Amazon EKS: Up to 100K Nodes

Amazon EKS just leveled up—clusters can now run withup to 100,000 nodeswith support ofKubernetes 1.30and up. That's not just big—it’s AI-and-ML-scale big. Cluster setup got a lot less manual, too. The AWS Console’s"auto mode"auto-builds your VPC and IAM configs.eksctlplugs right into the flow...

Scale AI/ML Workloads with Amazon EKS: Up to 100K Nodes
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@faun shared a link, 1 day, 6 hours ago

Building a RAG chat-based assistant on Amazon EKS Auto Mode and NVIDIA NIMs

AWS and NVIDIA just dropped a full-stack recipe for running Retrieval-Augmented Generation (RAG) onAmazon EKS Auto Mode—built on top ofNVIDIA NIM microservices. It's LLMs on Kubernetes, but without the hair-pulling. Inference? GPU-accelerated. Embeddings? Covered. Vector search? Handled byAmazon Op..

Building a RAG chat-based assistant on Amazon EKS Auto Mode and NVIDIA NIMs
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@faun shared a link, 1 day, 6 hours ago

Kubernetes 1.34 Debuts KYAML to Resolve YAML Challenges

Kubernetes 1.34 drops on August 27, 2025, and it’s bringingKYAML—a smarter, stricter take on YAML. No more surprise type coercion or “why is this indented wrong?” bugs. Think of it as YAML that behaves. kubectlgets a new trick too:-o kyaml. Use it to spit out manifests in KYAML format—easier to deb..

Kubernetes 1.34 Debuts KYAML to Resolve YAML Challenges
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@faun shared a link, 1 day, 6 hours ago

Estimate Your K8s Deployment Costs (Portainer Calculator)

A new TCO calculator breaks down what it really costs to run Kubernetes—DIY CNCF stacks, COSS platforms, and Portainer Business Edition. It crunches infra, labor, and software spend, then maps out staffing needs. It shows exactly where Portainer cuts Kubernetes bloat: itmaybe biased but it's worth t..

Estimate Your K8s Deployment Costs (Portainer Calculator)
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@faun shared a link, 1 day, 6 hours ago

How I Cut AWS Compute Costs by 70% with a Multi-Arch EKS Cluster and Karpenter

Swapping out Kubernetes Cluster Autoscaler forKarpentercut node launch times to under 20 seconds and dropped compute bills by 70%. The secret sauce? Smarter, faster spot instance scaling. Bonus perks: architecture-aware scheduling formulti-CPU (ARM64/x86)workloads—more performance, better utilizati..

How I Cut AWS Compute Costs by 70% with a Multi-Arch EKS Cluster and Karpenter
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@faun shared a link, 1 day, 6 hours ago

SUSE Adds Arm Support to HCI Platform for Running Monolithic Apps on Kubernetes

SUSE Virtualization 1.5 lands with64-bit Arm and Intelsupport,CSIstorage compatibility, and a tighter4-month release loopsynced with Kubernetes. Built on Harvester and KubeVirt, the update pushes harder on a clear trend: legacy VMs and cloud-native apps sharing the same Kubernetes real estate. Sys..

SUSE Adds Arm Support to HCI Platform for Running Monolithic Apps on Kubernetes
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AI is changing Kubernetes faster than most teams can keep up

AI workloads are taking over Kubernetes. Fastest-growing use case on the block. 90% of orgs expect that growth to keep climbing. 92% are betting on AI-driven ops tools to keep up. Edge Kubernetes? Up from 38% to 50% in a year. Real-time inference is pushing workloads closer to the source.System shif..

AI is changing Kubernetes faster than most teams can keep up