Monitor types and attributes
An application class is a logical grouping of individual applications, while an application group is a logical grouping of application instances. Similar attributes are added to application classes and similar application classes are grouped under monitor types. On this page, we provide you information about the monitor types present in the knowledge module (KM). You can use this information to proactively resolve the issues before they occur.
The following application classes are available in PATROL for Oracle Cloud Monitoring:
- Top-level containers and configuration
- Object Storage
- File Systems
- Mount Targets
- Compute Instances
- Kubernetes
- Block Volumes
- Load-Balancers
- OpenSearch
- Streaming
- Exadata Cloud Service (ExaCS)
- MySQL HeatWave
Service Name | Monitor Types | Description |
|---|---|---|
Top-level containers and configuration | Used to set up and configure the PATROL for Oracle Cloud Monitoring product. | |
Object Storage | The Object Storage service metrics help you measure the amount of storage you're using. You can also use these metrics to monitor the count of objects in the bucket and the size of the bucket. | |
File Systems
| File Storage service metrics help you measure operations and throughput related to file systems and mount targets. | |
| Mount Targets | Measures operations and throughput related to mount targets. The available metrics help you determine how much data is flowing through its associated mount target, and if operations are producing unexpected errors. | |
| Compute Instances | The compute instance metrics help you measure activity level and throughput of compute instances. | |
Kubernetes |
| You can monitor the health, capacity, and performance of Kubernetes clusters. Container Engine for Kubernetes metrics help you monitor Kubernetes clusters, along with node pools and individual worker nodes. You can use metrics data to diagnose and troubleshoot cluster and node pool issues. |
| Block Volumes | You can monitor the performance and replication status for your Block Volume. Help you measure volume operations and throughput related to compute instances. | |
Load Balancers | You can monitor the health, capacity, and performance of your load balancers. The Load Balancing metrics help you measure the number and type of connections, and quantity of data managed by your load balancer. | |
The parameters help you analyze the HTTP responses returned by the servers in your backend set. | ||
Network Load Balancer parameters help you monitor the number and type of connections, and quantity of traffic processed by your network load balancer. | ||
The Network Load Balancer Backend Set parameters help you to measure healthy and unhealthy backend sets. | ||
OpenSearch | You can monitor the OpenSearch Cluster state, latency, and cluster storage. | |
Streams | You can monitor the health and performance of your streams. Helps you to watch produce/consume latency for a real-time application. You can monitor the state of the Stream Pools. | |
Exadata Cloud Service (ExaCS) | Monitor the health and performance of Exadata Cloud Service by collecting the data for the given monitor types. | |
| MySQL HeatWave | You can monitor performance, resource usage, and query execution across MySQL databases and HeatWave clusters using the MySQL HeatWave service. It helps optimize analytics, detect bottlenecks, and improve workload efficiency. |