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tomz
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gcp-monitoring

Establish observability for Google Cloud Platform workloads with monitoring, logging, tracing, and profiling.

Updated Apr 27, 2026
Search Tags:#logs#gcp#metrics#observability#tracing#alerts#cloud-monitoring
One-click install
npx skills add https://github.com/tomz/agent-skills --skill gcp-monitoring
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gcp-monitoring
Source: https://github.com/tomz/agent-skills/tree/main/gcp-monitoring
Command: npx skills add https://github.com/tomz/agent-skills --skill gcp-monitoring

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Establish comprehensive observability for Google Cloud Platform workloads.

Core Features & Use Cases

  • Cloud Monitoring metrics: system, agent, and custom metrics
  • Uptime checks and alerting policies to detect service health issues
  • MQL (Monitoring Query Language) for advanced metric analysis and dashboards
  • Cloud Logging queries and log-based metrics for centralized insights
  • Cloud Trace, Error Reporting, and Cloud Profiler integration for end-to-end tracing and performance analysis
  • Service Mesh Observability guidance (Istio/Anthos) and guardrails for noisy logs

Quick Start

Install the Ops Agent on a VM, configure a sample dashboard, and run a quick gcloud workflow to verify monitoring, logging, and tracing.

Frequently Asked Questions about gcp-monitoring

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up GCP monitoring and logging for Compute Engine and Cloud Run workloads?▼

GCP monitoring for Compute Engine and Cloud Run is established by installing the Ops Agent to collect system metrics and configuring centralized log queries. This creates dashboards and alerts to track service health across your workloads.

What is the best way to reduce alerting noise in Cloud Monitoring?▼

Reducing alerting noise in Cloud Monitoring requires applying built-in guardrails to your alerting policies. You can refine uptime checks and custom alert thresholds to prevent unnecessary notifications while maintaining service health visibility.

Can I use MQL for advanced metric analysis and dashboards in Cloud Monitoring?▼

Yes, MQL (Monitoring Query Language) supports advanced metric analysis in Cloud Monitoring. You can use MQL to query system, agent, and custom metrics to build targeted dashboards for your GCP workloads.

Does Cloud Trace work with Error Reporting and Cloud Profiler for end-to-end tracing?▼

Cloud Trace integrates with Error Reporting and Cloud Profiler to provide end-to-end tracing and performance analysis. This combination allows you to view traces, analyze application errors, and profile performance bottlenecks.

How do I create log-based metrics from Cloud Logging queries?▼

You create log-based metrics by running specific Cloud Logging queries against your centralized log data. These queries extract actionable insights which can then be visualized on dashboards or used to trigger alerting policies.

Is Service Mesh observability available for Istio and Anthos on GCP?▼

Yes, Service Mesh observability guidance is available for Istio and Anthos on GCP. It includes specific configurations for monitoring mesh traffic and applying guardrails to handle noisy logs generated by service mesh components.

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