Gain visibility into the performance, availability, and health of your applications and infrastructure.
Get started now with: dashboards, the Ops Agent for VMs, and Managed Service for Prometheus
Built on the same backend used by Google that holds over 65 quadrillion points on disk
Learn how Cloud Monitoring helps customers implement SRE principles to improve their businesses
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For Google Cloud and other environments
Cloud Monitoring offers automatic out-of-the-box metric collection dashboards for Google Cloud services. It also supports monitoring of hybrid and multicloud environments.
Identify trends, prevent issues
Metrics, events, and metadata are displayed with rich query language that helps identify issues and uncover patterns. Service-level objectives measure user experience and improve collaboration with developers.
Reduce monitoring overhead
One integrated service for metrics, uptime monitoring, dashboards, and alerts reduces time spent navigating between systems. Observability in context makes metrics available within Google Cloud resource pages.
Automatically infer or custom define service-level objectives (SLOs) for applications and get alerted when SLO violations occur. Check out our step-by-step guide to learn how to set SLOs, following SRE best practices.
Managed metrics collection for Kubernetes and virtual machines
Google Cloud’s operations suite offers Managed Service for Prometheus for use with Kubernetes, which features self-deployed and managed collection options to simplify metrics collection, storage, and querying. For VMs, you can use the Ops Agent, which combines logging and metrics collection into a single agent that can be deployed at scale using popular configuration and management tools.
Google Cloud integration
Discover and monitor all Google Cloud resources and services, with no additional instrumentation, integrated right into the Google Cloud console.
Customers are using Cloud Monitoring to improve their operations
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Install the Ops Agent live in the Console
In this tutorial you will work directly in the Google Cloud Console to create a Compute Engine instance (VM), install the Ops Agent, and test that it is working.
Monitoring a Compute Engine instance
Learn how to monitor a Compute Engine virtual machine (VM) instance with Cloud Monitoring.
Set up managed collection for Managed Service for Prometheus
Learn how to set up the managed collector, which is best suited for applications you are building new on GKE or refactoring.
Introduction to the Cloud Monitoring API
This page describes some of the features of the Cloud Monitoring API v3.
Monitoring your API usage
Learn how to track overall consumption and monitor the performance of your APIs.
Concepts in service monitoring
Get familiar with service-level indicators (SLIs) and service-level objectives (SLOs).
Creating a service-level indicator
Create service-level objectives (SLOs) for custom and automatically detected services. Identify metrics you want to use in your service-level indicators (SLIs).
|SLO monitoring||Automatically infer or custom define service-level objectives (SLOs) for applications and get alerted when SLO violations occur.|
|Custom metrics||Instrument your application to monitor application and business-level metrics via Cloud Monitoring.|
|Google Cloud Console integration||Discover and monitor all Google Cloud resources and services, with no additional configuration, integrated right into the Google Cloud console.|
|Managed Service for Prometheus||Monitor and alert on your workloads, using Prometheus, without having to manually manage and operate Prometheus at scale.|
|Ops Agent||Deploy the Ops Agent on your Google Cloud VMs to collect detailed metrics and logs from your applications and system. Try the in-console, step-by-step tutorial to experience installing the agent on a live VM.|
|Logging integration||Drill down from dashboards and charts to logs. Create, visualize, and alert on metrics based on log data.|
|Dashboards||Get visibility into your cloud resources and services with no configuration. Define custom dashboards and take advantage of Google’s powerful data visualization tools.|
|Multiple project and group/cluster support||Create metrics scopes to monitor single or multiple projects together, and create resource groups to define relationships based on resource names, tags, security groups, projects, regions, accounts, and other criteria. Use those relationships to create targeted dashboards and topology-aware alerting policies.|
|Alerting||Configure alerting policies to notify you when events occur or particular system or custom metrics violate rules that you define. Use multiple conditions to define complex alerting rules. Receive notifications via email, SMS, Slack, PagerDuty, and more.|
|Uptime monitoring||Monitor the availability of your internet-accessible URLs, VMs, APIs, and load balancers from probes around the globe with uptime checks. Create alerts to be notified proactively if there is an outage.|
Cloud Monitoring includes all Google Cloud metrics and all
product features for no additional cost. Free allotment and
prices for chargeable metrics are listed below. Learn more
pricing details guide.
Cloud Monitoring includes all Google Cloud metrics and all product features for no additional cost. Free allotment and prices for chargeable metrics are listed below. Learn more in the pricing details guide.
|Feature||Price1||Free allotment per month||Effective date|
$0.2580/MiB: 150–100,000 MiB
$0.1510/MiB: 100,000–250,000 MiB
$0.0610/MiB: >250,000 MiB
All Google Cloud metrics2
First 150 MiB per billing account for chargeable metrics
|July 1, 2018|
|Metrics from Google Cloud Managed Service for Prometheus||
$0.15/million samples†: first 0-50 billion samples #
$0.12/million samples: 50-250 billion samples
$0.09/million samples: 250-500 billion samples
$0.06/million samples: >500 billion samples
|Not applicable||May 16, 2022|
|Monitoring API calls||$0.01/1,000 API calls (Write API calls are free)||First 1 million API calls included per billing account||July 1, 2018|
1 For pricing purposes, all units such as MB and GB represent binary measures. For example, 1 MB is 220 bytes. 1 GB is 230 bytes. These binary units are also known as mebibyte(MiB) and gibibyte(GiB).
2 There is no charge for Google Cloud metrics or Anthos metrics that are measured at up to 1 data point per minute, the current highest resolution. In the future, metrics measured at higher resolutions might incur a charge.
† Google Cloud Managed Service for Prometheus uses Cloud Monitoring storage for externally created metric data and uses the Monitoring API to retrieve that data. Managed Service for Prometheus meters based on samples ingested instead of bytes to align with Prometheus' conventions. For more information about sample-based metering, see Pricing for controllability and predictability. For computational examples, see Pricing examples based on samples ingested.
# Samples are counted per billing account.