BeansHost blog

Field notes on running AI agents in production.

Practical guides on deploying, orchestrating, securing, monitoring and scaling AI agents, written by the team building the BeansHost control plane.

GovernanceOctober 13, 20263 min read

Governing AI Agents with Audit Logs, Roles and Production Approvals

Governance does not have to slow agent teams down. With clear roles, a log that cannot be rewritten and approvals only where risk is high, it becomes part of shipping.

SecurityOctober 6, 20263 min read

Designing API Keys for AI Agents: Scopes, Expiry and Hashing

Once other applications call your agents, API keys become your front door. Good key design limits damage from a leak and makes rotation routine. Here is how to get it right.

ScalingSeptember 29, 20263 min read

Scaling AI Agents: Concurrency, Rate Limits and Monthly Quotas

Scaling an agent is not only about adding instances. Concurrency, model provider limits and monthly quotas all shape how much traffic an agent can take. Here is how to plan for all three.

Cloud DeploymentSeptember 22, 20263 min read

Health-Gated Releases: Shipping AI Agent Updates Without Downtime

A release should only go live once the new version proves it can answer. Here is how to design health checks, promotion and rollback for AI agents.

MonitoringSeptember 15, 20263 min read

Monitoring AI Agents Without Storing Prompts

You do not need to read every prompt to know whether an agent is healthy. A small set of metadata signals tells you almost everything, without the privacy risk.

SecuritySeptember 1, 20263 min read

Securing AI Agents in Production: A Practical Checklist

Agents hold credentials, call external services and act on behalf of users. This checklist covers the controls that matter most once an agent leaves the prototype stage.

InfrastructureAugust 25, 20263 min read

Workers or Containers? Choosing Infrastructure for AI Agents

Should your agent run as a lightweight worker or a full container? The answer depends on language, dependencies and how long each run takes. Here is a practical way to decide.

OrchestrationAugust 11, 20264 min read

AI Agent Orchestration: Retries, Timeouts and Circuit Breakers That Actually Help

Agents fail in ways ordinary APIs do not: slow models, long tool calls and bursty traffic. These orchestration patterns keep failures small, visible and recoverable.

Cloud DeploymentJuly 28, 20264 min read

How to Deploy AI Agents to Your Own Cloud Account

Running agents in your own cloud account keeps the bill, the data path and the controls with you. This guide walks through the full path from GitHub repository to a live, callable agent.

AI AgentsJuly 14, 20265 min read

What Is an AI Agent Control Plane, and Why Production Teams Need One

Building an agent is the easy part. Running ten of them across clouds, teams and environments is where a control plane earns its place. Here is what one does and how to tell if you need it.