How-to

• Using Workspaces

  Control Cloud Monitoring billing and monitor multiple GCP and AWS projects together.

• Managing Monitoring agents on multiple VMs through an Agent Policy

  Managing Monitoring agents, along with other Google Cloud's operations suite agents, on multiple VM instances.

• Installing the Monitoring agent on a single VM

  Collect metrics from software running on your VM instances.

• Using uptime checks

  Configure uptime checks to monitor your system's availability around the world.

• Using alerting policies

  Create alerting policies and notification channels.

• Using dashboards and charts

  Create ad-hoc charts for any metric collected by your project with Metrics Explorer. For a persistent monitoring tool, create charts for a dashboard.

• Collecting metrics from on-premises and hybrid cloud

  Use Blue Medora's BindPlane to collect metrics from common application components, on-premise systems, and hybrid cloud systems and send them to Cloud Monitoring.

• Reading metric data

  Use the Cloud Monitoring API to retrieve time-series data.

• Browsing metric and resource types

  Use the Cloud Monitoring API to retrieve information about metric and monitored-resource types.

• Using custom metrics

  Create your own custom metrics to use with Cloud Monitoring. Read and browse both custom and built-in metrics.

• Using resource groups

  Define and monitor groups of resources, such as VM instances, databases and load balancers.

• Using Metrics Explorer

  Use Metrics Explorer to retrieve and chart time-series data.

• Using settings

  Configure your settings for Cloud Monitoring.

• Using Monitoring Query Language (MQL)

  Use MQL, a text-based query language, to incrementally build and debug complex queries for time-series data.

• Service monitoring

  Identify service-level indicators (SLIs) and set up service-level objectives (SLOs) to monitor the performance of your services.