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Using Workspaces
Control Cloud Monitoring billing and monitor multiple GCP and AWS projects together.
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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.
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Installing the Monitoring agent on a single VM
Collect metrics from software running on your VM instances.
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Using uptime checks
Configure uptime checks to monitor your system's availability around the world.
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Using alerting policies
Create alerting policies and notification channels.
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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.
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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.
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Reading metric data
Use the Cloud Monitoring API to retrieve time-series data.
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Browsing metric and resource types
Use the Cloud Monitoring API to retrieve information about metric and monitored-resource types.
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Using custom metrics
Create your own custom metrics to use with Cloud Monitoring. Read and browse both custom and built-in metrics.
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Using resource groups
Define and monitor groups of resources, such as VM instances, databases and load balancers.
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Using Metrics Explorer
Use Metrics Explorer to retrieve and chart time-series data.
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Using settings
Configure your settings for Cloud Monitoring.
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Using Monitoring Query Language (MQL)
Use MQL, a text-based query language, to incrementally build and debug complex queries for time-series data.
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Service monitoring
Identify service-level indicators (SLIs) and set up service-level objectives (SLOs) to monitor the performance of your services.
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