| name | collecting-infrastructure-metrics |
| description | Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. Use when monitoring system performance or troubleshooting infrastructure issues. Trigger with phrases like "collect infrastructure metrics", "monitor server performance", or "track system resources". |
| version | 1.20.0 |
| allowed-tools | Read, Write, Edit, Grep, Glob, Bash(metrics:*), Bash(monitoring:*), Bash(system:*) |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["performance","database","monitoring"] |
| compatibility | Designed for Claude Code, also compatible with Codex and OpenClaw |
Infrastructure Metrics Collector
Collect and centralize infrastructure metrics across compute, storage, network, containers, load balancers, and databases using Prometheus, Datadog, or CloudWatch.
Overview
This skill automates the process of setting up infrastructure metrics collection. It identifies key performance indicators (KPIs) across various infrastructure layers, configures agents to collect these metrics, and assists in setting up central aggregation and visualization.
How It Works
- Identify Infrastructure Layers: Determines the infrastructure layers to monitor (compute, storage, network, containers, load balancers, databases).
- Configure Metrics Collection: Sets up agents (Prometheus, Datadog, CloudWatch) to collect metrics from the identified layers.
- Aggregate Metrics: Configures central aggregation of the collected metrics for analysis and visualization.
- Create Dashboards: Generates infrastructure dashboards for health monitoring, performance analysis, and capacity tracking.
When to Use This Skill
This skill activates when you need to:
- Monitor the performance of your infrastructure.
- Identify bottlenecks in your system.
- Set up dashboards for real-time monitoring.
Examples
Example 1: Setting up basic monitoring
User request: "Collect infrastructure metrics for my web server."
The skill will:
- Identify compute, storage, and network layers relevant to the web server.
- Configure Prometheus to collect CPU, memory, disk I/O, and network bandwidth metrics.
Example 2: Troubleshooting database performance
User request: "I'm seeing slow database queries. Can you help me monitor the database performance?"
The skill will:
- Identify the database layer and relevant metrics such as connection pool usage, replication lag, and cache hit rates.
- Configure Datadog to collect these metrics and create a dashboard to visualize performance trends.
Best Practices
- Agent Selection: Choose the appropriate agent (Prometheus, Datadog, CloudWatch) based on your existing infrastructure and monitoring tools.
- Metric Granularity: Balance the granularity of metrics collection with the storage and processing overhead. Collect only the essential metrics for your use case.
- Alerting: Configure alerts based on thresholds for key metrics to proactively identify and address performance issues.
