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@faun shared a link, 7 months, 2 weeks ago
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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.. read more  

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@faun shared a link, 7 months, 2 weeks ago
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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... read more  

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@faun shared a link, 7 months, 2 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, 2 weeks ago
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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.. read more  

v1.34: Introducing CPU Manager Static Policy Option for Uncore Cache Alignment
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@faun shared a link, 7 months, 2 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, 2 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, 2 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, 2 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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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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@anjali shared a link, 7 months, 3 weeks ago
Customer Marketing Manager, Last9

Kubernetes Monitoring Metrics That Improve Cluster Reliability

Understand Kubernetes monitoring metrics that help detect issues early, improve reliability, and keep your cluster performing at its best.

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Apigee is an enterprise-grade API management platform that helps organizations build, manage, and secure APIs at scale. It provides a centralized control plane for exposing backend services as APIs while enforcing security, traffic management, and governance policies.

Apigee supports the complete API lifecycle, including design, versioning, deployment, monitoring, and monetization. It acts as an API gateway, handling concerns such as authentication, authorization, rate limiting, quotas, caching, request transformation, and threat protection without requiring changes to backend services.

The platform offers deep analytics and observability, allowing teams to track API usage, latency, error rates, and consumer behavior. These insights help improve API reliability, performance, and product decisions. Apigee also includes developer portal capabilities, enabling organizations to onboard external and internal developers, publish API documentation, and manage API keys.

Apigee integrates natively with Google Cloud services and supports hybrid and multi-cloud deployments, allowing APIs to run on-premises, in Google Cloud, or across other cloud providers. It supports modern architectures including microservices, Kubernetes-based backends, and service meshes, and is commonly used in regulated industries that require strong security and compliance controls.