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@faun shared a link, 1 year, 2 months ago
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Cold-Starting LLMs on Kubernetes in Under 30 Seconds

RedesigningLLM cold start strategy sliced launch times from 10 minutes tounder 30 secondsby exploitingFUSEandobject storagefor on-demand GPU loading—a revelation for Kubernetes scaling... read more  

Cold-Starting LLMs on Kubernetes in Under 30 Seconds
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@faun shared a link, 1 year, 2 months ago
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The Next Evolution of DigitalOcean Kubernetes: Introducing Features that Unlock Superior Scalability for Growing Businesses

DigitalOceanjust cranked up the cluster game to a cool1,000nodes, injectedeBPF-based routingfor a performance boost, and rolled outManaged Ciliumto keep things rock steady. Scale orchestration? Now it's on rocket fuel... read more  

The Next Evolution of DigitalOcean Kubernetes: Introducing Features that Unlock Superior Scalability for Growing Businesses
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@faun shared a link, 1 year, 2 months ago
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Introducing kube-scheduler-simulator

kube-scheduler-simulatorlets you peek into the mind of Kubernetes’ scheduler. You can poke and prod at scheduling decisions without risking a real cluster meltdown. Add custom plugins like a pro, no sweat. Forget blindsiding surprises. The simulator mirrors production with eerie accuracy—sync resour.. read more  

Introducing kube-scheduler-simulator
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@faun shared a link, 1 year, 2 months ago
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CKA Prep: CKA Exam Overview and Preparation Strategy

CKA exam:Juggle up to 6 Kubernetes clusters like a pro. Command rolling updates, Ingress, and persistent storage with flair. Imperative commands? Your secret weapon to snatch victory... read more  

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Google Cloud unveils AI-focused updates to Kubernetes Engine

Meet theCluster Director for GKE. This beast masters GPU/TPU clusters seamlessly, herding them with Kubernetes APIs like a rodeo star. Meanwhile, theGKE Inference Gatewayramps up AI model performance. It's like magic but real: Serving costs tumble by up to30%. Tail latency? Chopped by up to60%... read more  

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Optimize Gemma 3 Inference: vLLM on GKE 🏎️💨

GKE Autopilot's GPUmeans business—AI inference tasks don’t stand a chance. Just two arguments and, bam, you’ve unleashed NVIDIA's beastly Gemma 3 27B model, which chugs a massive46.4GB VRAM. ⚡️ Meanwhile, vLLM squeezes the models with bf16 precision, though optimization requires wrestling with algor.. read more  

Optimize Gemma 3 Inference: vLLM on GKE 🏎️💨
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@faun shared a link, 1 year, 2 months ago
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Kubernetes 1.33 – What you need to know

Kubernetes 1.33 shakes things up with game-changing updates.LIST streaming encodingtrims down API Server memory like a chef with a sharp knife. Deliberate deletion orders lock down security tighter than a drum. And get this:in-place updatesfor Pod resources ditch those annoying restarts! Finally, us.. read more  

Kubernetes 1.33 – What you need to know
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@anjali shared a link, 1 year, 2 months ago
Customer Marketing Manager, Last9

Observability vs APM: What’s the Real Difference?

Observability goes beyond APM—it's not just about metrics, it's about understanding why things break, not just that they did.

o11Y VS APM
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@anjali shared a link, 1 year, 2 months ago
Customer Marketing Manager, Last9

Logging vs Monitoring: What’s the Real Difference?

Logging and monitoring work together, but they’re not the same. Here’s how they help you understand, fix, and improve your systems.

logging
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@anjali shared a link, 1 year, 2 months ago
Customer Marketing Manager, Last9

Debug Logging: A Comprehensive Guide for Developers

A clear guide to debug logging—what it is, how to use it well, and why it matters when you're trying to understand what your code is doing.

Debug Logging_ A Comprehensive Guide for Developers
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.