- name
- infrastructure-ops
- description
- Use when you need to manage infrastructure across multiple servers interactively via wsh — deploying applications, configuring services, managing packages, performing rolling updates, and handling the prompts and judgment calls that declarative tools cannot. Examples: "deploy this application across 10 servers with health checks between each", "upgrade packages across the fleet and handle diverse prompts", "inspect and modify configuration across servers", "roll back a failed deployment".
> **IMPORTANT: EXECUTION CONTEXT**
> This skill describes *what to do* — domain patterns and decision-making.
> It does NOT describe *how* to call the API.
>
> 1. **If you have `wsh_*` tools** (check your toolkit for `wsh_send_input`,
> `wsh_get_screen`, etc.): use them directly. Operation names in this
> skill generally map to tool names (e.g., "send input" → `wsh_send_input`).
> When in doubt, list your available `wsh_*` tools.
> 2. **If you do NOT have `wsh_*` tools**: you are in HTTP/curl fallback mode.
> **DO NOT GUESS endpoints or CLI subcommands.**
> Load the full API reference first: search your workspace for
> `skills/core/` and read `SKILL.md`. It contains every endpoint
> with working curl examples and a bootstrap sequence.
> 3. **Quick bootstrap**: `curl -sf --unix-socket ${XDG_RUNTIME_DIR:-/tmp}/wsh/default.http.sock http://localhost/health`
> — if that fails: `wsh server -L agent-$$ --ephemeral &` and retry.
# wsh:infrastructure-ops -- Fleet Management
Ansible, Puppet, and Chef exist because you can't interactively
operate 50 machines at once. They solve this with declarative
configs and idempotent operations -- you describe the desired state,
the tool converges toward it. This works brilliantly for the 80%
of infrastructure work that's predictable and repeatable.
But 20% of real infrastructure work isn't predictable. Interactive
installers that ask questions nobody anticipated. Package upgrades
that present merge conflicts in config files. Services that fail
in ways that require investigation, not just a restart. Approval
prompts that need human judgment. Diagnostics that require poking
around, reading logs, trying things.
wsh changes the equation. An AI agent can sit at every terminal
simultaneously -- reading screens, handling prompts, making
decisions. This enables an imperative, interactive model for the
work that declarative tools can't handle. Not a replacement for
Ansible. A complement for the cases where Ansible isn't enough.
## When to Use This
**Use infrastructure-ops when:**
- Operations require interactive input -- installers, prompts,
approval dialogs, merge conflict resolution
- Each host may behave differently and needs per-host judgment
- You need to verify results interactively between steps
(read logs, check endpoints, inspect state)
- The operation is exploratory -- diagnosing an issue across
a fleet, where what you do on host N depends on what you
found on hosts 1 through N-1
- Rolling deployments need health verification with real
traffic before proceeding to the next batch
**Don't use infrastructure-ops when:**
- The operation is fully predictable and idempotent -- use
Ansible, Terraform, or your existing config management
- You're provisioning infrastructure from scratch -- use
Terraform or CloudFormation
- The operation is a single command with no interaction --
use `parallel-ssh` or `ansible -m shell`
- You don't need per-host decision-making -- fan out with
a simple script instead
## Prerequisites
You need a federated wsh cluster: a hub server with backends
registered for each target machine. Each backend is a wsh server
running on the target host.
list servers
# Expect: hub (local), plus one backend per target host
If backends aren't registered yet, add them:
add server at address http://10.0.1.10:8080
add server at address http://10.0.1.11:8080
add server at address http://10.0.1.12:8080
# Wait for all to become healthy
loop:
list servers
if all target servers are healthy: break
wait briefly
retry
See the **wsh:cluster-orchestration** skill for details on server
registration, health monitoring, and authentication.
You also need the patterns from **wsh:drive-process** (the
send/wait/read loop) and **wsh:multi-session** (parallel session
management, tagging, fan-out). This skill composes on top of both.
## Core Pattern: Same Operation Across N Hosts
The fundamental infrastructure pattern: run the same operation on
every host, but handle each host's response individually. This is
different from `parallel-ssh` because you react to what each host
does -- you don't just fire and forget.
### Sequential Fan-Out
The safe default. Operate on one host at a time, verify success
before moving to the next:
hosts = ["web-1", "web-2", "web-3", "web-4", "web-5"]
results = {}
for host in hosts:
create session "op-{host}" on server "{host}"
send to "op-{host}": sudo systemctl restart myapp\n
wait for idle on "op-{host}"
read screen from "op-{host}"
if password prompt detected:
send to "op-{host}": {sudo_password}\n
wait for idle on "op-{host}"
read screen from "op-{host}"
if success:
results[host] = "ok"
else:
results[host] = "failed"
# Decide: continue to next host, or stop?
kill session "op-{host}"
report results
Sequential is slower but safer. If the operation breaks the first
host, you haven't touched the other four.
### Parallel Fan-Out
When the operation is safe to run everywhere simultaneously --
read-only commands, status checks, log collection:
hosts = ["web-1", "web-2", "web-3", "web-4", "web-5"]
# Launch all at once
for host in hosts:
create session "check-{host}" on server "{host}", tagged: fleet-check
send to "check-{host}": systemctl status myapp\n
# Poll for completion
completed = {}
while not all hosts completed:
wait for idle on sessions tagged "fleet-check" (timeout 2000ms)
# Returns whichever session settled first
read screen from that session
record result
mark as completed
# Use last_session + last_generation to advance
# Clean up
for host in hosts:
kill session "check-{host}"
report results
### Handling Per-Host Prompt Diversity
The real reason this pattern exists. When you run `apt upgrade`
across 10 servers, each one may present different prompts:
- Server 1: no prompts, clean upgrade
- Server 2: "Configuration file changed, keep or replace? [Y/n]"
- Server 3: "Service nginx needs to be restarted. Restart now? [y/N]"
- Server 4: "Pending kernel upgrade. Reboot required."
- Server 5: dependency conflict requiring manual resolution
A declarative tool must handle all these cases upfront with
configuration flags. An agent reads each screen and responds
with judgment:
read screen from "upgrade-{host}"
if "keep or replace" in screen:
# Inspect the diff, decide based on whether we've
# customized this config
send: d\n # show diff first
wait, read
if config has local customizations:
send: N\n # keep ours
else:
send: Y\n # take the new version
if "restart now" in screen:
# Check if this is a load-balanced service that can restart
send: y\n
if "reboot required" in screen:
# Note for later -- don't reboot mid-upgrade-sweep
results[host].needs_reboot = true
This per-host judgment is the core value proposition. The agent
adapts to what each host actually presents.
## Rolling Deployments
Deploy to a fleet incrementally, verifying health between each
batch. If something goes wrong, stop before it affects the whole
fleet.
### The Rolling Deploy Pattern
hosts = ["web-1", "web-2", "web-3", "web-4", "web-5", "web-6"]
batch_size = 2
failed = []
for batch in chunk(hosts, batch_size):
# Deploy this batch in parallel
for host in batch:
create session "deploy-{host}" on server "{host}", tagged: deploy
send to "deploy-{host}": cd /opt/myapp && ./deploy.sh v2.1.0\n
# Wait for all in this batch to finish
for host in batch:
wait for idle on "deploy-{host}" (timeout 30000ms)
read screen from "deploy-{host}"
if deployment prompt detected:
handle prompt (see per-host prompt handling)
wait for idle on "deploy-{host}"
read screen from "deploy-{host}"
if deployment failed:
failed.append(host)
# Health check this batch before proceeding
for host in batch:
create session "health-{host}" on server "{host}", tagged: health
send to "health-{host}": curl -sf http://localhost:8080/health\n
wait for idle on "health-{host}"
read screen from "health-{host}"
if health check failed:
failed.append(host)
kill session "health-{host}"
# Clean up deploy sessions for this batch
for host in batch:
kill session "deploy-{host}"
# Gate: stop if this batch had failures
if failed is not empty:
report: "Stopping rolling deploy. Failed hosts: {failed}"
report: "Remaining hosts not deployed: {remaining}"
break
# Optional: wait for the new version to soak
wait 30 seconds
# Re-check health after soak period
for host in batch:
create session "soak-{host}" on server "{host}"
send to "soak-{host}": curl -sf http://localhost:8080/health\n
wait for idle, read screen
if unhealthy:
failed.append(host)
kill session "soak-{host}"
if failed is not empty:
report: "Soak check failed. Stopping."
break
if failed is empty:
report: "Rolling deploy complete. All hosts healthy."
### Choosing Batch Size
- **Batch of 1**: Safest. Every host is individually verified.
Slowest. Use for the first deploy of a risky change.
- **Batch of N/3**: Good balance. You always have 2/3 of the
fleet on the old version if something goes wrong.
- **Batch of N-1**: Deploy to all but one (the canary). If the
canary is still fine on the old version after you've deployed
everywhere else, you know the issue is with the new version.
### Canary Pattern
A special case of rolling deployment: deploy to one host first,
soak for longer, then proceed if healthy:
canary = hosts[0]
rest = hosts[1:]
# Deploy to canary
create session "deploy-canary" on server "{canary}"
send to "deploy-canary": ./deploy.sh v2.1.0\n
wait for idle, read screen, handle prompts
kill session "deploy-canary"
# Extended health check on canary
for i in range(5):
wait 60 seconds
create session "canary-check" on server "{canary}"
send to "canary-check": curl -sf http://localhost:8080/health && echo "HEALTHY" || echo "UNHEALTHY"\n
wait for idle, read screen
if "UNHEALTHY" in screen:
report: "Canary failed health check. Aborting."
initiate rollback on canary
stop
kill session "canary-check"
# Canary is healthy after 5 minutes. Deploy the rest.
proceed with rolling deploy on rest
## Configuration Management
Inspect current configuration, apply changes, and verify the
result -- interactively, with the ability to inspect and judge
at each step.
### Inspect-Modify-Verify
The fundamental configuration pattern:
for host in hosts:
create session "config-{host}" on server "{host}"
# 1. Inspect current state
send to "config-{host}": cat /etc/myapp/config.yaml\n
wait for idle, read screen
record current_config[host]
# 2. Decide whether to modify
if config needs updating:
# Back up first
send: cp /etc/myapp/config.yaml /etc/myapp/config.yaml.bak\n
wait for idle
# Apply the change (using sed, patch, or writing a new file)
send: sed -i 's/max_connections: 100/max_connections: 200/' /etc/myapp/config.yaml\n
wait for idle
# 3. Verify the change
send: cat /etc/myapp/config.yaml\n
wait for idle, read screen
if change is correct:
results[host] = "updated"
else:
# Restore backup
send: cp /etc/myapp/config.yaml.bak /etc/myapp/config.yaml\n
wait for idle
results[host] = "reverted -- change didn't apply correctly"
else:
results[host] = "no change needed"
kill session "config-{host}"
### Configuration Drift Detection
Compare configurations across the fleet to find hosts that
have drifted from the expected state:
expected_config = "..." # known-good configuration
drifted = []
for host in hosts:
create session "audit-{host}" on server "{host}", tagged: audit
send to "audit-{host}": cat /etc/myapp/config.yaml\n
for host in hosts:
wait for idle on "audit-{host}"
read screen from "audit-{host}"
if screen does not match expected_config:
drifted.append(host)
# Optionally: read scrollback for the full config if it's long
kill session "audit-{host}"
if drifted:
report: "Configuration drift detected on: {drifted}"
# Inspect each drifted host for details
### Interactive Configuration Tools
Some services have their own interactive configuration tools --
`mysql_secure_installation`, `dpkg-reconfigure`, `certbot`,
database migration wizards. These can't be driven by declarative
tools, but an agent can handle them:
create session "certbot-{host}" on server "{host}"
send to "certbot-{host}": sudo certbot --nginx\n
wait for idle, read screen
# Certbot asks a series of questions
if "Enter email address" in screen:
send: admin@example.com\n
wait for idle, read screen
if "Terms of Service" in screen:
send: A\n # Agree
wait for idle, read screen
if "Which names would you like to activate HTTPS for" in screen:
send: 1\n # Select the first domain
wait for idle, read screen
# Verify the certificate was issued
send: sudo certbot certificates\n
wait for idle, read screen
verify certificate is present and valid
kill session "certbot-{host}"
## Package Management at Scale
Package upgrades are one of the most common infrastructure tasks,
and one of the most prone to interactive surprises.
### The Upgrade Pattern
hosts = ["web-1", "web-2", "web-3", "db-1", "db-2"]
for host in hosts:
create session "upgrade-{host}" on server "{host}"
# Update package lists
send to "upgrade-{host}": sudo apt update\n
wait for idle on "upgrade-{host}" (timeout 30000ms)
read screen
if password prompt:
send: {sudo_password}\n
wait for idle, read screen
# Check what would be upgraded (dry run)
send: apt list --upgradable\n
wait for idle, read screen
record pending_upgrades[host]
# Review: show the operator what each host needs
report pending upgrades per host
# At this point, decide whether to proceed
# Execute upgrades
for host in hosts:
send to "upgrade-{host}": sudo apt upgrade -y\n
wait for idle (timeout 60000ms)
read screen
# Handle the prompts that -y doesn't suppress
loop until shell prompt returns:
if "Configuration file" in screen:
# Package wants to overwrite a config file
# Decide based on whether we maintain custom configs
send: N\n # keep current version
wait for idle, read screen
if "Daemons using outdated libraries" in screen:
send: \n # accept defaults
wait for idle, read screen
if "restart services" in screen:
send: y\n
wait for idle, read screen
if shell prompt detected:
break
wait for idle (timeout 5000ms)
read screen
# Verify
send: apt list --upgradable\n
wait for idle, read screen
if packages still pending:
results[host] = "partial upgrade"
else:
results[host] = "fully upgraded"
kill session "upgrade-{host}"
### Handling Package Manager Differences
Different hosts may use different package managers. Detect and
adapt:
send to "detect-{host}": which apt yum dnf apk 2>/dev/null\n
wait for idle, read screen
if "apt" in screen:
update_cmd = "sudo apt update && sudo apt upgrade -y"
elif "dnf" in screen:
update_cmd = "sudo dnf upgrade -y"
elif "yum" in screen:
update_cmd = "sudo yum update -y"
elif "apk" in screen:
update_cmd = "sudo apk update && sudo apk upgrade"
send to "upgrade-{host}": {update_cmd}\n
### Specific Package Installation
When you need to install a specific package with version pinning:
for host in hosts:
create session "install-{host}" on server "{host}", tagged: install
send to "install-{host}": sudo apt install nginx=1.24.0-1~jammy\n
wait for idle, read screen
if "Do you want to continue?" in screen:
send: Y\n
wait for idle, read screen
if "unable to locate package" in screen or "has no installation candidate" in screen:
results[host] = "package not available"
elif "is already the newest version" in screen:
results[host] = "already installed"
else:
# Verify installation
send: nginx -v\n
wait for idle, read screen
if "1.24.0" in screen:
results[host] = "installed"
else:
results[host] = "unexpected version"
kill session "install-{host}"
## Health Verification
Post-operation checks are what separate a careful deployment from
Auf GitHub ansehen