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@faun shared a link, 9 months, 1 week 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, 9 months, 1 week 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, 9 months, 1 week 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, 9 months, 1 week 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, 9 months, 1 week 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, 9 months, 1 week 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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@anjali shared a link, 9 months, 1 week 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.

kubernetes_metrics
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@laura_garcia shared a post, 9 months, 1 week ago
Software Developer, RELIANOID

🚀 Strengthening Europe’s Cybersecurity in Space

Just in case you missed it last month: The European Space Agency (ESA) has launched its brand-new Cybersecurity Operations Center (C-SOC) to safeguard satellites, mission control systems, and digital assets against growing cyber threats. 🌍 In today’s space-driven world, initiatives like this — suppo..

ESA_Cybersecurity Operations Center
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@laura_garcia shared a post, 9 months, 1 week ago
Software Developer, RELIANOID

🔐 Cybersecurity Fundamentals: Defensive, Offensive & Hybrid Approaches 🔐

Cybersecurity isn’t just about deploying tools — it’s about knowing how and when to use the right strategies. Defensive security focuses on prevention with technologies like firewalls, antivirus, access control, and system hardening to reduce exposure. Offensive security takes the attacker’s perspec..

Cibersecurity concepts diagram RELIANOID
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@anjali shared a link, 9 months, 1 week ago
Customer Marketing Manager, Last9

What is APM Tracing?

Understand APM tracing to see how a request moves through services, helping you spot delays, errors, and bottlenecks quickly.

apm tracing
GPT-5.3-Codex is OpenAI’s advanced agentic coding model, designed to go beyond writing code and operate as a general-purpose collaborator on a computer. It builds on GPT-5.2-Codex by combining stronger coding performance with improved reasoning and professional knowledge, while running about 25% faster. The model is optimized for long-running tasks that involve research, tool use, and complex execution, and it performs at the top of industry benchmarks such as SWE-Bench Pro and Terminal-Bench.

Unlike earlier Codex models that focused primarily on code generation and review, GPT-5.3-Codex can reason, plan, and act across the full software lifecycle. It supports activities such as debugging, deploying, monitoring, writing product requirement documents, creating tests, and analyzing metrics. It can also autonomously build and iterate on complex applications and better interpret underspecified prompts, producing more complete and production-ready results by default.

A defining feature of GPT-5.3-Codex is its interactive, agentic workflow. Users can steer the model while it is working, receive progress updates, and adjust direction without losing context, making it feel more like a teammate than a batch automation tool. The model was even used internally to help debug its own training and deployment processes. GPT-5.3-Codex is available through paid ChatGPT plans in the Codex app, CLI, IDE extension, and web, with API access planned for the future.