A module for pulling snapshots of data from RESTful services into the AF Data stream
This module is designed to allow a simpler configuration for service consumption by enabling the build of plugins and configuration files for various RESTful services. The initial release of this module supports AWS Cloudwatch and AppDynamics, New Relic.
Properly configured, this script will run with the periodicity as set in the Administration panel (or you can utilize crontab), and will provide these metrics to StatsD widgets across the product.
Recommended install path:
Requires python module: requests
Requires python module: afstatsd
python AfPoller.py -hwill detail configuration flags
- AppDynamics Integration - http://support.appfirst.com/docs/partner-integrations/#appdynamics
- New Relic API v2 Integration - http://support.appfirst.com/new-relic-beta/
python AfPoller.py --plugin=appdynamics
-u <username> - Username as provided by AD (ie, user@user)
-H <controller address>
From the metric browser, using 'Copy Full Path':
-m <metric path> - from the metric browser (ie, "Business Transaction Performance|Business Transactions||/my.aspx/results|Calls per Minute)
-a <application> - Application to define on AppFirst's portal
You can use the wildcard character (*) to get multiple levels of Metrics from AppDynamics.
You can also use 'Copy REST URL' to collect metrics that way:
--url <REST URL>
Ensure the last parameter is &output=JSON for proper parsing
python AfPoller.py --plugin=cloudwatch
--metricname= - i.e., VolumeWriteBytes
--namespace= - i.e., AWS/Billing, AWS/EBS
--dimension= - i.e., VolumeId:vol-e259792bd
--application= - What name you want prepended in statsD
--region= - Where are these metrics on AWS (US-WEST, US-WEST-2)
--unit= - Bytes, USD, etc
Included is a check_cloudwatch.sh script which iterates through various metrics and provides the data to statsd. It is recommended to rename this script and employ it for each namespace you are collecting metrics from, and is provided as an alternative to adding the full path and commandline to the polled data script. It also outputs a nagios-plugin friendly OK so that the script call can be seen in the polled-data window of the workbench to verify the script was called.
python AfPoller.py --plugin=newrelic
New Relic Options
--newrelic-access-key-id <key> - API key provided by New Relic https://rpm.newrelic.com/accounts/*acc-id*/integrations?page=data_sharing
--newrelic-access-app-id <app_id> - application ID to get metrics from https://rpm.newrelic.com/api/explore/applications/list
-a <application> - Application name as you want it to appear in the StatsD bucket
-m - metric path for example "Agent/MetricsReported/count" or
Apdex%count, Apdex%score, Agent/MetricsReported/count%min_response_time
Using % allows you to specify single metrics instead of the entire response tree
Also it is possible to specify custom application name for each metric, for example: [CustomAppName]Apdex%count, Agent/MetricsReported/count%min_response_time
- where string between square brackets is a custom application name which will be appended in the StatsD bucket.
This feature is likely to change.
python AfPoller.py --config=/path/to/configuration/file
The INI style configuration file is designed for specifying metrics and parameters.
The goal is to provide one location for all metrics collected as well as periodicity
See AfPoller/config.cfg for examples
[common] # define wich plugin will be used plugin = pluginName # common application name wich will be pre appended in statsD application = AppName metricpath = metric path for REST service from wich you collecting the data [newrelic] #add parametrs here for newRelic [appdynamics] # add parametrs here for appdynamics [cloudwatch] # add parametrs here for cloudwatch
- Interval period per metric
- Daemon mode