Query and aggregate Railway service CPU, memory, network, and disk metrics.
npx skills add https://github.com/0xHoneyJar/loa-constructs --skill metrics-0xhoneyjar
Please help me install this Agent Skill. Skill: metrics Source: https://github.com/0xHoneyJar/loa-constructs/tree/main/.agents/skills/metrics Command: npx skills add https://github.com/0xHoneyJar/loa-constructs --skill metrics-0xhoneyjar
This skill helps operators quickly observe resource usage for Railway services, enabling proactive performance management and cost awareness.
Ask Railway to fetch CPU, memory, network, and disk usage for a specific service over a defined time range.
High-intent search queries and answers about installing and using this skill.
Monitor Railway service resource usage by querying and aggregating CPU, memory, network, and disk metrics. You can fetch measurements like CPU_USAGE and MEMORY_USAGE_GB across deployments and regions, grouping results by deployment or service.
Yes, you can group resource usage metrics by deployment or service. The query accepts optional serviceId and grouping parameters, allowing you to aggregate CPU, memory, network, and disk data across specific Railway deployments or services.
To query Railway network and disk metrics, you need an environmentId and a startDate. You also require jq installed as a dependency, and can optionally provide a serviceId to target specific services.
Diagnose a memory leak by running time-bounded queries for MEMORY_USAGE_GB and correlating memory usage trends with deployment timestamps. Analyzing customizable time ranges helps spot anomalies and identify abnormal resource consumption patterns.
You need jq to parse and aggregate the JSON output returned when querying Railway service resource usage. It processes the raw metrics data for CPU, memory, network, and disk measurements into structured results for performance diagnosis.
Spot performance anomalies in Railway deployments by running time-bounded queries that aggregate CPU, memory, network, and disk metrics. Fetching resource usage data over customizable time ranges helps identify trends and correlate anomalies with deployment events.
habrahgithubQuery Railway service CPU, memory, disk, and network metrics by environment and time range.
jscraikAnalyze system processes and resource usage to diagnose performance bottlenecks.
mhalderIdentifies CPU, memory, disk, and network bottlenecks on slow servers.
midsphere-aiStream Exo agent output with event-rich telemetry for live dashboards.
