Deploy: AI pulls code, builds Docker image, deploys to servers
Agent automates deploy workflow: listens to git push, builds Docker image (or uses pre-built), tests locally in container, deploys to production SSH, runs migrations, checks health. Integrates with GitHub Actions, Kubernetes, SSH servers. $19/mo.
Sound familiar?
What's eating your time
Deploy slow and manual: ssh to server, pull code, docker build, docker run, check it works, too many steps
No automation: each time someone does same thing manually, risk of human error (forget migration, wrong port)
Rollback hard: if deploy breaks — how to rollback? No quick way
Staging differs from prod: tests pass in staging, break in prod, no pre-deploy checks
What your AI agent can do
Works with your tools
Get started in a few steps
Git push and trigger
Developer pushes changes to main (or any watched branch). GitHub webhook → agent sees immediately, starts workflow.
Build Docker image
Agent: clone repo, docker build (using Dockerfile in repo), builds image, tags with commit hash (e.g. app:abc123def45), pushes to registry (Docker Hub or GHCR).
Local testing
Agent runs image locally: docker run -d --name test-app -p 3000:3000 app:abc123def45, checks: HTTP 200 on /health, logs without errors, container not crashed. If ok → continue.
Deploy to production
Agent SSH to prod server, pulls new image, runs: docker pull app:abc123def45, docker stop app-old, docker run -d --name app (new container), runs migrations (db migration script if needed).
Health check and notification
Agent monitors new container 60 seconds: HTTP 200, metrics, logs. If ok → posts to Slack 'Deploy successful (abc123, v1.2.3)'. If error → auto-rollback to old image + alert.
Frequently asked questions
Yes. Instead of SSH + docker run can kubectl apply -f deployment.yaml (with new image tag). Agent can auto-update manifest and apply. If Helm used → can helm upgrade.
Want OpenClaw — without the DevOps?
OpenKlo is managed hosting for the original OpenClaw. Same agent, live in 3 minutes.
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