You can set alert thresholds that trigger when they're violated by any of your Java app's instances. Scoping the condition to instances of your app is helpful for detecting anomalies that occur only in a subset of your app's instances.
These sorts of anomalies are easy to miss for apps that aggregate metrics across a large number of instances. By looking at each instance, you can more quickly identify where potential problems are originating.
In this example, you set up a policy for a Java app with three instances. You want to open a violation when the condition's critical threshold for any instance's error rate is greater than .02% for at least five minutes.
During a five-minute time period the three instances have these error rates:
No. This instance remained below the target threshold the entire time.
Yes. The alert threshold exceeded the 0.02% threshold for this instance for at least five minutes.
No. The threshold value must be breached for at least five consecutive minutes to open a violation.
However, if you had set the threshold for at least once in five minutes, then the threshold value must be breached at least once during the five-minute period.
To create a policy that triggers notifications for violations by your app's individual instances:
- Follow the basic workflow process to set up a policy.
- When creating a condition (step 2), select APM.
- Select Application metric as the type of condition.
- To calculate alert threshold violations individually for each of the app's selected instances, select Scope to Java application instances.
- Select Next, select entities, then identify one or more apps for this condition.
- Optional: Change the time when New Relic Alerts will force-close the violation (default is 24 hours).
- Use By condition or By condition and signal incident preference.
- Continue the rest of the policy workflow process (step 3).
To open violations based on the average of all instances for your apps, select Scope to the application instead of Scope to Java application instances.
When setting the incident preference for policies containing instance-based conditions, we recommend that you select By condition instead of By condition and signal. Although apps are the selected entities for this condition, we evaluate each JVM as a separate entity.
If you set your Incident preference to By condition and signal, a separate incident will be opened for each JVM that breaches the critical threshold. When an app fails across multiple JVMs, this can lead to alert "fatigue" and frustration.
To create instance-based alert conditions with the New Relic REST API, include these items with your REST API call:
- Your API key.
- The numeric
entity_idfor the entity being monitored
condition_id(available from the API Explorer: Alerts Conditions > GET > List)
"instance"for a Java application instance or
"application"for a Java app)
Here is an example of the API request format and JSON response.
If you need additional help, get support at support.newrelic.com.