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Oracle Cloud Infrastructure Monitoring provides your enterprise with fine grained metrics and notifications to monitor your entire stack. Out of the box performance and health metrics are provided for your Oracle Cloud Infrastructure resources. Additionally, alarms can be created on these metrics using industry standard statistics, trigger operators, and time intervals. Alarms alert you in real time to important changes across your cloud infrastructure and services via the Notifications service. You can also emit, visualize, and create alarms on your own custom metrics to monitor all of your metrics in one place. Monitoring offers a best-in-class metric engine, allowing you to perform powerful aggregation and slice-and-dice queries across multiple metric streams and dimensions in real time.
Using Monitoring, you are able to understand the health and performance of your cloud infrastructure and services. Monitoring gives you the insight needed to optimize resource utilization, and respond to anomalies in real time.
Monitoring metrics are available in the console as time series charts. You can query metrics with the SDK, CLI and API. The getting started section for Resource Monitoring in the Service Essentials documentation provides an overview on retrieving metrics and viewing charts.
The Console provides three Monitoring metrics views:
Monitoring alarms can be created and viewed in the console as well as the via the SDK, CLI and API. Detailed instructions on how to configure and use alarms is available In the Monitoring alarms documentation. Monitoring uses Notifications to send the alerts to the destinations you specify.
In the console, the Monitoring Alarm Status page provides a summary of your alarms that are currently firing.
The supported services that have resources or components that can emit metrics are listed in the Monitoring supported services section of the Oracle Cloud Infrastructure online documentation. Each service provides key metrics specific to the type of resource. Details on the metrics provided, a definition of the metric, and dimensions available are noted in the documentation. The list of supported services will continue to expand over time.
Metrics are generated out of the box for Oracle Cloud Infrastructure services. There are some prerequisites related to IAM policies required to view metrics. For a list of the services that provide metrics, consult the list of supported services. Compute instances require an OracleCloudAgent to enable Monitoring. The OracleCloudAgent is provided by default for new instances. For existing instances, you can install the OracleCloudAgent. Details on the OracleCloudAgent and how to confirm if it is already installed are available in the Compute Monitoring documentation.
You can publish your own custom metrics to Monitoring using the API. Custom metrics can be charted in console, and retrieved using the API. The Monitoring console and API also support configuring alarms based on your custom metrics.
The Metrics Explorer page in the console allows you view your custom metrics alongside those provided by resources.
The Monitoring limits are available in the Monitoring section of the Monitoring limits.
Refer to Oracle Cloud Infrastructure Documentation for more information on how to get started with and use Monitoring.
Monitoring usage is billed according to Oracle Cloud Infrastructure Monitoring pricing. Billing is based on two dimensions:
YA metric data point is defined as one value (with its timestamp) in a metric stream ingested into the Monitoring API. Example: 2018-05-10T22:19:00Z, 10.4
An analyzed metric data point is a data point per minute per metric stream on a Monitoring metric retrieval query. Thus, several metric data points within a minute interval are digested and counted as one analyzed metric data point. Note that each minute interval with zero metric data points will count as one analyzed metric data point. For a given query the GET/Query operation computation cost is linearly proportional to the length of time and number of metric streams.
A metric stream is an individual set of aggregated data for a metric. A stream can be either specific to a single resource or aggregated across all resources in the compartment.