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railway-metrics
// Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".
// Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".
[HINT] Download the complete skill directory including SKILL.md and all related files
| name | railway-metrics |
| description | Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow". |
| version | 1.0.0 |
| author | Railway |
| license | MIT |
| tags | ["Railway","Metrics","Monitoring","Performance","CPU","Memory","Resources","Analytics"] |
| dependencies | ["railway-cli"] |
| allowed-tools | Bash(railway:*) |
Query resource usage metrics for Railway services.
Get environmentId and serviceId from linked project:
railway status --json
Extract:
environment.id โ environmentIdservice.id โ serviceId (optional - omit to get all services)| Measurement | Description |
|---|---|
| CPU_USAGE | CPU usage (cores) |
| CPU_LIMIT | CPU limit (cores) |
| MEMORY_USAGE_GB | Memory usage in GB |
| MEMORY_LIMIT_GB | Memory limit in GB |
| NETWORK_RX_GB | Network received in GB |
| NETWORK_TX_GB | Network transmitted in GB |
| DISK_USAGE_GB | Disk usage in GB |
| EPHEMERAL_DISK_USAGE_GB | Ephemeral disk usage in GB |
| BACKUP_USAGE_GB | Backup usage in GB |
| Tag | Description |
|---|---|
| DEPLOYMENT_ID | Group by deployment |
| DEPLOYMENT_INSTANCE_ID | Group by instance |
| REGION | Group by region |
| SERVICE_ID | Group by service |
query metrics(
$environmentId: String!
$serviceId: String
$startDate: DateTime!
$endDate: DateTime
$sampleRateSeconds: Int
$averagingWindowSeconds: Int
$groupBy: [MetricTag!]
$measurements: [MetricMeasurement!]!
) {
metrics(
environmentId: $environmentId
serviceId: $serviceId
startDate: $startDate
endDate: $endDate
sampleRateSeconds: $sampleRateSeconds
averagingWindowSeconds: $averagingWindowSeconds
groupBy: $groupBy
measurements: $measurements
) {
measurement
tags {
deploymentInstanceId
deploymentId
serviceId
region
}
values {
ts
value
}
}
}
Use heredoc to avoid shell escaping issues:
bash <<'SCRIPT'
START_DATE=$(date -u -v-1H +"%Y-%m-%dT%H:%M:%SZ" 2>/dev/null || date -u -d "1 hour ago" +"%Y-%m-%dT%H:%M:%SZ")
ENV_ID="your-environment-id"
SERVICE_ID="your-service-id"
VARS=$(jq -n \
--arg env "$ENV_ID" \
--arg svc "$SERVICE_ID" \
--arg start "$START_DATE" \
'{environmentId: $env, serviceId: $svc, startDate: $start, measurements: ["CPU_USAGE", "MEMORY_USAGE_GB"]}')
${CLAUDE_PLUGIN_ROOT}/skills/lib/railway-api.sh \
'query metrics($environmentId: String!, $serviceId: String, $startDate: DateTime!, $measurements: [MetricMeasurement!]!) {
metrics(environmentId: $environmentId, serviceId: $serviceId, startDate: $startDate, measurements: $measurements) {
measurement
tags { deploymentId region serviceId }
values { ts value }
}
}' \
"$VARS"
SCRIPT
Omit serviceId and use groupBy to get metrics for all services:
bash <<'SCRIPT'
START_DATE=$(date -u -v-1H +"%Y-%m-%dT%H:%M:%SZ" 2>/dev/null || date -u -d "1 hour ago" +"%Y-%m-%dT%H:%M:%SZ")
ENV_ID="your-environment-id"
VARS=$(jq -n \
--arg env "$ENV_ID" \
--arg start "$START_DATE" \
'{environmentId: $env, startDate: $start, measurements: ["CPU_USAGE", "MEMORY_USAGE_GB"], groupBy: ["SERVICE_ID"]}')
${CLAUDE_PLUGIN_ROOT}/skills/lib/railway-api.sh \
'query metrics($environmentId: String!, $startDate: DateTime!, $measurements: [MetricMeasurement!]!, $groupBy: [MetricTag!]) {
metrics(environmentId: $environmentId, startDate: $startDate, measurements: $measurements, groupBy: $groupBy) {
measurement
tags { serviceId region }
values { ts value }
}
}' \
"$VARS"
SCRIPT
| Parameter | Description |
|---|---|
| startDate | Required. ISO 8601 format (e.g., 2024-01-01T00:00:00Z) |
| endDate | Optional. Defaults to now |
| sampleRateSeconds | Sample interval (e.g., 60 for 1-minute samples) |
| averagingWindowSeconds | Averaging window for smoothing |
Tip: For last hour, calculate startDate as now - 1 hour in ISO format.
{
"data": {
"metrics": [
{
"measurement": "CPU_USAGE",
"tags": { "deploymentId": "...", "serviceId": "...", "region": "us-west1" },
"values": [
{ "ts": "2024-01-01T00:00:00Z", "value": 0.25 },
{ "ts": "2024-01-01T00:01:00Z", "value": 0.30 }
]
}
]
}
}
ts - timestamp in ISO formatvalue - metric value (cores for CPU, GB for memory/disk/network)railway status --jsonServices without active deployments return empty metrics arrays. When processing with jq, handle nulls:
# Safe iteration - skip nulls
jq -r '.data.metrics[]? | select(.values != null and (.values | length) > 0) | ...'
# Check if metrics exist before processing
jq -e '.data.metrics | length > 0' response.json && echo "has metrics"
Service may be new or have no traffic. Check:
Verify IDs with railway status --json.
User needs access to the project to query metrics.