# Operate long-running AI agents with logging, permissions and rollbacks

> Run always-on agent systems with monitoring, least-privilege access, kill switches and safe rollouts

オブザーバビリティ、セキュリティ境界、およびライフサイクル管理を備えた長寿命エージェントワークロードを運用します。

- Page: https://ss33.ai/skills/affaan-m/enterprise-agent-ops-70376156139
- Publisher: affaan-m
- Category: [Software Development](https://ss33.ai/skills/category/software-development-t44z8z) › [DevOps & cloud](https://ss33.ai/skills/category/software-development-t44z8z/devops-and-cloud-unkt50)
- License: MIT
- Source: https://github.com/affaan-m/ecc/blob/76aaa77df6adc5b889e689007bf99b9a4f74af34/docs/ja-JP/skills/enterprise-agent-ops/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/affaan-m/enterprise-agent-ops-70376156139

# Enterprise Agent Ops

Use this skill for cloud-hosted or continuously running agent systems that need operational controls beyond single CLI sessions.

## Operational Domains

1. runtime lifecycle (start, pause, stop, restart)
2. observability (logs, metrics, traces)
3. safety controls (scopes, permissions, kill switches)
4. change management (rollout, rollback, audit)

## Baseline Controls

- immutable deployment artifacts
- least-privilege credentials
- environment-level secret injection
- hard timeout and retry budgets
- audit log for high-risk actions

## Metrics to Track

- success rate
- mean retries per task
- time to recovery
- cost per successful task
- failure class distribution

## Incident Pattern

When failure spikes:
1. freeze new rollout
2. capture representative traces
3. isolate failing route
4. patch with smallest safe change
5. run regression + security checks
6. resume gradually

## Deployment Integrations

This skill pairs with:
- PM2 workflows
- systemd services
- container orchestrators
- CI/CD gates