Topic
Agent Deployment & Hosting Infrastructure
13 posts on agent deployment & hosting infrastructure — part of ai agents & automation on the n4n AI blog.
Self-hosting LangGraph agents on your own servers
Step-by-step guide to self-hosting LangGraph agents on your own infrastructure, from dependency isolation to production-grade deployment and observability.
Running AI agents at the edge with Cloudflare Workers
Deploy autonomous AI agents on Cloudflare Workers with OpenAI-compatible APIs, edge state, and fallback routing for low-latency global inference.
Modal vs RunPod vs Fly.io for hosting AI agents
Compare Modal vs RunPod vs Fly.io agent hosting across cost, latency, ergonomics, and limits. Pick the right platform for your AI agent workload.
Health checks and retries for reliable agent uptime
A practical guide to health checks and retries AI agent uptime: design probes, implement backoff, and survive LLM provider outages in production.
Docker images for reproducible AI agent deployments
A practical guide to building Docker images for reproducible AI agent deployments, covering layering, secrets, model pinning, runtime config, and tests.
Cold starts and latency on serverless GPU platforms
Analysis of serverless GPU cold start latency agents face in production, with mitigation patterns, tradeoffs, and a decisive architecture takeaway.
Blue-green deployments for zero-downtime AI agents
A practical how-to for blue-green deployment AI agents with zero downtime: provision parallel stacks, shift traffic safely, verify, and roll back.
vLLM vs Ollama vs TGI for hosting open-source agents
Head-to-head comparison of vLLM vs Ollama vs TGI agent hosting for open-source agents: capabilities, cost, latency, ergonomics, ecosystem, limits.
Serverless AI agents with AWS Lambda and Bedrock
A practical step-by-step guide to build and deploy serverless AI agents with AWS Lambda and Bedrock using SAM, including agent loop code and verification.
Deploying AI agents on Kubernetes: a practical guide
Practical engineering steps for deploying AI agents on Kubernetes: packaging, scaling, secrets, model access, observability, and common failure modes.
Deploying agents behind an OpenAI-compatible gateway
Step-by-step guide to deploying agents behind an OpenAI-compatible API gateway for agents: routing, fallback, cache hints, and per-token metering.
CI/CD pipelines for shipping AI agents to production
A practical guide to building CI/CD for AI agent deployment: version agent configs, test against mocked and live models, containerize, and ship with canary.
Autoscaling GPU pools for high-traffic AI agents
A practical guide to designing autoscaling GPU pools for AI agents: capacity planning, metrics, orchestration, and pitfalls for high-traffic serving.
More topics in ai agents & automation
- Function Calling Fundamentals27
- Autonomous Coding Agents: Claude Code, Devin, Cursor15
- Model Context Protocol (MCP) Deep Dives15
- Multi-Agent Orchestration Patterns15
- Agentic RAG14
- AI Agent Cost & Latency Optimization14
- AI Agent Framework Comparison14
- AI Agent Security & Prompt Injection Defense14
- AI Agent Tool Use Design Patterns14
- AI Agents in Customer Support14
- LangGraph for Agent Workflows14
- LLM Workflow Automation: n8n, Zapier, Make14