Agentic AI Infrastructure — Kubernetes
Long-running agents, secure tool execution, and multi-agent systems have different infrastructure needs than request/response services. Real-time support for building and operating them on Kubernetes — with honest advice on when a managed runtime is the better call.
Agents are not stateless web requests. They run for minutes or hours, hold session state and memory, execute arbitrary tools and code, call MCP servers, and occasionally loop or escape their boundaries. Running them well on Kubernetes needs deliberate infrastructure.
This hub covers the real infrastructure questions of agentic AI on Kubernetes: how to run long-running and asynchronous agents (Jobs, Deployments, queues, event-driven workers), how to isolate agent sessions and sandbox tool/code execution, how to persist state and memory and support suspend/resume and snapshotting, how to connect agents to tools via MCP securely, how to scale multi-agent systems and scale them to zero when idle, and how to observe and cost-control them. We also give unbiased guidance on the build-vs-buy decision — when a managed agent runtime (AWS Bedrock AgentCore, Microsoft Foundry Agent Service, GKE Agent Sandbox) is the right choice, and when Kubernetes-hosted agent infrastructure genuinely pays off. No forced Kubernetes bias.
What We Offer
From daily job support to emergency production fixes, proxy interview guidance, and interview coaching — we have the expert for your specific need.
Live expert help during your working hours — running LLM inference (vLLM, KServe, Dynamo), agent runtimes and sandboxes, GPU scheduling, autoscaling, RAG pipelines, and daily platform deliverables on your real cluster so you always hit your deadlines.
On-call firefighting for live incidents — GPU Pods stuck Pending, CUDA/OOMKilled crashes, vLLM out-of-memory, high TTFT, model-loading failures, autoscaling that will not scale, agent loops, MCP authorization errors, and RAG/vector-DB latency — with an engineer on the call.
Kubernetes AI proxy interview assistance, profile positioning, and candidate marketing for Platform Engineer, AI Infrastructure Engineer, GPU Infrastructure Engineer, MLOps/LLMOps, and SRE roles — real-time interview guidance, recruiter readiness, and profile visibility.
Real Situations
These are the real-world situations our experts resolve every day — for job support and interview assistance.
Global Reach
Real-time Kubernetes AI infrastructure support for engineers across USA, Canada, UK, Ireland, Germany, Netherlands, Switzerland, Australia, New Zealand, Singapore, UAE, and worldwide.
Available across US, Canada, UK, European, Australian, and Asia-Pacific business hours — and 24/7 for production incidents.
Join 1000+ developers who resolved their job challenges and cleared interviews with real-time expert support.
Expert Help Available
Need real-time IT job support or interview help? Our experts are available 24/7 — USA, Canada, UK, Europe & worldwide.
FAQ
Everything you need to know before getting started with job support or interview assistance.
Ask on WhatsAppGet Started Today
Real developers. Real solutions. Job support and proxy interview assistance available 24/7 across USA, Canada, UK, Europe, Australia, Germany, Singapore, and New Zealand.
Proxy Tech Support provides interview preparation, technical guidance, and job support services. All services are advisory and educational in nature.