Table: newrelic_apm_application_instance - Query New Relic APM Application Instances using SQL

New Relic's Application Performance Monitoring (APM) is a software that provides real-time monitoring and detailed performance analytics of software applications. It helps in identifying performance issues, understanding dependencies, and improving software performance. An Application Instance in New Relic APM represents a single running instance of your application, providing in-depth performance metrics for that instance.

Table Usage Guide

The newrelic_apm_application_instance table provides insights into individual instances of applications monitored by New Relic APM. As a DevOps engineer or application developer, you can use this table to explore detailed metrics about each application instance, including throughput, response time, and error rate. Utilize it to identify performance bottlenecks, understand dependencies, and improve the overall performance of your applications.

Important Notes

You must specify the app_id in the where clause to query this table.

Examples

List all application instances monitored by apm for a specific application

Determine the performance and health status of a specific application by analyzing its response time, error rate, and other key metrics. This can aid in identifying any potential issues or bottlenecks that may be affecting the application's overall performance.

select
  id,
  application_name,
  host,
  port,
  language,
  health_status,
  response_time,
  throughput,
  error_rate,
  apdex_target,
  apdex_score,
  host_count,
  instance_count,
  concurrent_instance_count,
  end_user_response_time,
  end_user_throughput,
  end_user_apdex_target,
  end_user_apdex_score,
  end_user_apdex_threshold,
  app_id,
  app_host
from
  newrelic_apm_application_instance
where
  app_id = 45;

select
  id,
  application_name,
  host,
  port,
  language,
  health_status,
  response_time,
  throughput,
  error_rate,
  apdex_target,
  apdex_score,
  host_count,
  instance_count,
  concurrent_instance_count,
  end_user_response_time,
  end_user_throughput,
  end_user_apdex_target,
  end_user_apdex_score,
  end_user_apdex_threshold,
  app_id,
  app_host
from
  newrelic_apm_application_instance
where
  app_id = 45;

Obtain information on instances of all applications

Explore which applications have the most instances to understand resource allocation and usage patterns. This can help in optimizing resource distribution and identifying potential bottlenecks.

select
  i.application_name,
  sum(i.instance_count) as instances
from
  newrelic_apm_application_instance i,
  newrelic_apm_application a
where
  i.app_id = a.id
group by
  i.application_name;

select
  i.application_name,
  sum(i.instance_count) as instances
from
  newrelic_apm_application_instance i
  join newrelic_apm_application a on i.app_id = a.id
group by
  i.application_name;

Schema for newrelic_apm_application_instance

Name	Type	Operators	Description
_ctx	jsonb		Steampipe context in JSON form.
apdex_score	double precision		Current apdex score of the application instance (at last metric).
apdex_target	double precision		The apdex target of the application instance.
app_host	bigint		Unique identifier for the host on which this application instance is running
app_id	bigint	=	Unique identifier for the application
application_name	text		The name of the application for which this is an instance of.
concurrent_instance_count	bigint		Count of active concurrent instances (at last metric).
end_user_apdex_score	double precision		Current apdex score from end-user perspective of the application instance (at last metric)
end_user_apdex_target	double precision		The apdex target from end-user perspective of the application instance (at last metric)
end_user_response_time	double precision		Current response time from end-user perspective of the application instance (at last metric).
end_user_throughput	double precision		Current throughput from end-user perspective of the application instance (at last metric)
error_rate	double precision		Current error rate of the application instance (at last metric).
health_status	text		Current reported health status of the application instance.
host	text		Name/Identifier for the host on which the application instance is running.
host_count	bigint		Count of hosts the application instance is installed on.
id	bigint	=	Unique identifier of the application instance.
instance_count	bigint		Count of instances of the application instance installed.
language	text		Language of the application instance.
port	bigint		The port on which the application instance is configured.
profile_id	text	=, !=, ~~, ~~, !~~, !~~	Unique identifier of the current user.
response_time	double precision		Current response time of the application instance (at last metric).
sp_connection_name	text	=, !=, ~~, ~~, !~~, !~~	Steampipe connection name.
sp_ctx	jsonb		Steampipe context in JSON form.
throughput	double precision		Current throughput of the application instance (at last metric).

Export

This table is available as a standalone Exporter CLI. Steampipe exporters are stand-alone binaries that allow you to extract data using Steampipe plugins without a database.

You can download the tarball for your platform from the Releases page, but it is simplest to install them with the steampipe_export_installer.sh script:

/bin/sh -c "$(curl -fsSL https://steampipe.io/install/export.sh)" -- newrelic

You can pass the configuration to the command with the --config argument:

steampipe_export_newrelic --config '<your_config>' newrelic_apm_application_instance