Use Case

Learn more about the use case.

  • Collect Application Host Metrics from NewRelic to create metrics in OBM.

Requirements

Learn more about the integration and network requirements.

Integration Requirements


NewRelic Requirements

Operations Connector Requirements

Access Details

  • Instance URL

  • Instance URL

Authentication
  • API Key
  • N/A

Permissions

  • N/A
  • N/A

Environment

Network Requirements


Network Requirements
Communication
  • ZigiOps → NewRelic (80/443)
  • ZigiOps → Operations Connector (30005)

Setup

Learn more about how to set up and enable the integration template.

  1. Select the Integrated Systems and click the Save button to continue.

  2. Enable the integration from the slider button, located in the middle section of the screen.

Action Details

Learn more about the actions, available in this integration template.

Each operation consists of 2 tabs - Source and Field Map. The Source tab contains the trigger, the trigger conditions, and the expressions configuration and the Field Map tab contains the mapping configuration.


CPU

This operation polls the data from NewRelic. It is designed to collect NewRelic CPU Metrics and Create new metric Data in OBM. The CPU metrics data is collected from the NewRelic instance, then it is internally processed through the field mapping configuration, and finally, a request is sent to OBM to create a new metric data.

Source

From this tab, you could customize the polling interval, trigger conditions, and expressions or use the defaults. 

Field Map

From this tab you could customize the field, value, and conditional mappings, which suit your requirements. 

End User

This operation polls the data from NewRelic. It is designed to collect NewRelic End User Metrics and Create new metric Data in OBM. The End User metrics data is collected from the NewRelic instance, then it is internally processed through the field mapping configuration, and finally, a request is sent to OBM to create a new metric data.

Source

From this tab, you could customize the polling interval, trigger conditions, and expressions or use the defaults. 

Field Map

From this tab you could customize the field, value, and conditional mappings, which suit your requirements. 

Network

This operation polls the data from NewRelic. It is designed to collect NewRelic network Metrics and Create new metric Data in OBM. The network metrics data is collected from the NewRelic instance, then it is internally processed through the field mapping configuration, and finally, a request is sent to OBM to create a new metric data.

Source

From this tab, you could customize the polling interval, trigger conditions, and expressions or use the defaults. 

Field Map

From this tab you could customize the field, value, and conditional mappings, which suit your requirements. 

Transactions

This operation polls the data from NewRelic. It is designed to collect NewRelic Transactions Metrics and Create new metric Data in OBM. The Transactions metrics data is collected from the NewRelic instance, then it is internally processed through the field mapping configuration, and finally, a request is sent to OBM to create a new metric data.

Source

From this tab, you could customize the polling interval, trigger conditions, and expressions or use the defaults. 

Field Map

From this tab you could customize the field, value, and conditional mappings, which suit your requirements. 

Memory

This operation polls the data from NewRelic. It is designed to collect NewRelic Memory Metrics and Create new metric Data in OBM. The Memory metrics data is collected from the NewRelic instance, then it is internally processed through the field mapping configuration, and finally, a request is sent to OBM to create a new metric data.

Source

From this tab, you could customize the polling interval, trigger conditions, and expressions or use the defaults. 

Field Map

From this tab you could customize the field, value, and conditional mappings, which suit your requirements. 

GC

This operation polls the data from NewRelic. It is designed to collect NewRelic GC Metrics and Create new metric Data in OBM. The GC metrics data is collected from the NewRelic instance, then it is internally processed through the field mapping configuration, and finally, a request is sent to OBM to create a new metric data.

Source

From this tab, you could customize the polling interval, trigger conditions, and expressions or use the defaults. 

Field Map

From this tab you could customize the field, value, and conditional mappings, which suit your requirements. 

Apdex

This operation polls the data from NewRelic. It is designed to collect NewRelic Apdex Metrics and Create new metric Data in OBM. The Apdex metrics data is collected from the NewRelic instance, then it is internally processed through the field mapping configuration, and finally, a request is sent to OBM to create a new metric data.

Source

From this tab, you could customize the polling interval, trigger conditions, and expressions or use the defaults. 

Field Map

From this tab you could customize the field, value, and conditional mappings, which suit your requirements. 

Threads

This operation polls the data from NewRelic. It is designed to collect NewRelic Threads Metrics and Create new metric Data in OBM. The Threads metrics data is collected from the NewRelic instance, then it is internally processed through the field mapping configuration, and finally, a request is sent to OBM to create a new metric data.

Source

From this tab, you could customize the polling interval, trigger conditions, and expressions or use the defaults. 


Field Map

From this tab you could customize the field, value, and conditional mappings, which suit your requirements. 

Memory Pool

This operation polls the data from NewRelic. It is designed to collect NewRelic Memory Pool Metrics and Create new metric Data in OBM. The Memory Pool metrics data is collected from the NewRelic instance, then it is internally processed through the field mapping configuration, and finally, a request is sent to OBM to create a new metric data.

Source

From this tab, you could customize the polling interval, trigger conditions, and expressions or use the defaults. 

Field Map

From this tab you could customize the field, value, and conditional mappings, which suit your requirements. 

Recommendations

This section provides information about the recommended considerations, which should be taken into account, before starting the integration.

Correlation

It is recommended to keep the default correlation configuration unless you're familiar with the integration and the specifics of the integrated systems. You could contact our support team for assistance, prior to further changes to the correlation configuration.

Mapping

The predefined templates comply with the specifics of the integrated systems. It is recommended to confirm if your integrated systems have any required fields, which must be reported, so you could map them accordingly. Please note that if a required field is not mapped, the operation might fail. In this case, you could review the troubleshooting page for more information about the operation's execution history.