Darshan Jain (@i_darshanjain) 's Twitter Profile
Darshan Jain

@i_darshanjain

Sharing daily tech wisdom 💡I learned 5 minutes after crashing prod. ☁️ AWS Expert 🤖 AI enthusiast

ID: 477662235

linkhttps://github.com/ddjain calendar_today29-01-2012 12:36:03

703 Tweet

15 Followers

212 Following

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Observability in AI agents? KAgent integrates OpenTelemetry to trace every move of your AI agents. Debugging just got a whole lot clearer & smoother! Trace it, fix it, repeat. 🔍🚦 #KAgent #OpenTelemetry #Observability

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Power up your AI agents with the Kubernetes ecosystem! KAgent plays well with Istio for service mesh, Helm for deployment, and Argo for workflows. Seamless cooperation FTW! 🚀 #KAgent #Istio #Helm #Argo

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Walked past a Kubekon 2025 booth where the answer to every question was “we added an operator for that”. Sometimes the right operator is deleting a feature no one uses. #Kubekon2025 #K8sOperators #KeepItSimple

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Favorite Kubekon 2025 moment so far: a speaker openly showing their outage timeline and what they’d do differently. That level of honesty teaches more than any flawless architecture diagram. #Kubekon2025 #Postmortems #SRE

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Pro tip for Kubekon 2025: don’t just collect swag, collect stories. Ask people what broke in prod this year and what they changed because of it. That’s where the real gold is. #Kubekon2025 #Networking #ProdStories

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The AI-on-Kubernetes talks at Kubekon 2025 all share one theme: infra is the easy part now. Getting good data, evals, and guardrails around LLMs is the hard, human problem. #Kubekon2025 #LLM #MLOps

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Sharing AI infra? KServe’s fine-grained control & model routing keeps tenants separated and secure. Smooth sharing, no spillover 🛡️🔐. #KServe #MultiTenant #AccessControl

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Want AI agents that collaborate or run autonomously? KAgent provides a Kubernetes-native framework to build everything from teamwork bots to solo MVPs. AI innovation starts here! 🤝🤖 #KAgent #AIagents #AutonomousAI

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Managing AI agents just got simpler with KAgent’s native Kubernetes constructs. Deploy, monitor, and update your AI agents the K8s way—clean, efficient, and battle-tested. Lifecycle management made easy. #KAgent #Kubernetes #LifecyleManagement

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Manage AI traffic effortlessly with KServe + Envoy AI Gateway. Unified routing & observability means smoother user experiences and easier debugging 🔄🚦. #KServe #Envoy #AIgateway

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Welcome KAgent: a Kubernetes-native AI agent framework that flexibly supports multiple LLM providers. Build AI agents that fit perfectly within your K8s setup 🤖🌐. #KAgent #Kubernetes #AIagents

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Trace every step of your AI agents with KAgent's OpenTelemetry integration. Debug, monitor, and optimize with full visibility 🔍🚦. #KAgent #OpenTelemetry #Observability

Darshan Jain (@i_darshanjain) 's Twitter Profile Photo

KAgent plays nice with Istio, Helm & Argo, tapping into the powerhouse Kubernetes ecosystem for deployment, routing, and workflows. Power meets flexibility 🚀. #KAgent #Istio #Helm #Argo

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vLLM V1 dropped and it's not just a refresh. Full engine rearchitecture, optimized scheduling, and quantization becoming a default feature. This is how you scale inference without throwing money at more GPUs. #vLLM #MLOps #LLMInference

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The Q1 roadmap for vLLM is ambitious. N-gram speculative decoding on by default, hybrid memory allocator, AMD support. They're trying to make GPT-4o class inference possible on a single node 🔥 #vLLM #AIInfra #OpenSource

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Build AI agents that collaborate or act autonomously with KAgent’s Kubernetes-native framework. Your AI, your rules 🤝🤖. #KAgent #AutonomousAI #AIagents

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Spent an afternoon reading vLLM's 2024 wrapped blog. Their V1 engine redesign is exactly what production LLM serving needed. Modular, extensible, and they're actually documenting the core scheduler. Finally. #vLLM #LLMServing #CloudNative

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Simplify AI agent management with KAgent’s native Kubernetes constructs. Deploy, update, monitor—all streamlined the K8s way ⚙️📈. #KAgent #LifecycleManagement #Kubernetes

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Prefix caching in vLLM uses hash-based block matching to skip redundant prefills. If your system prompts are identical across requests you're leaving free latency on the table by not using it. #vLLM #LLMOptimization #TTFT

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Chunked prefill prevents long prompts from starving decode requests. Your interactive app users wont wait 10s because someone pasted a 50k token doc. This is the kind of detail that separates toy demos from production. #vLLM #Latency #MLInfra