Create Custom Prometheus Metrics
This example shows how to create custom Prometheus® metrics on a MATLAB®
Production Server™ instance and retrieve them using the metrics service. To create custom
metrics, use the prodserver.metrics.setGauge
and prodserver.metrics.incrementCounter
functions in the deployed MATLAB function. After you execute the deployed function, query the Metrics Service (MATLAB Production Server) to retrieve the
custom metrics.
The example assumes that there is an on-premises server running at http://localhost:9910
managed using the command line.
Write MATLAB Code to Create Custom Metrics
Write a MATLAB function that calls the proprodserver.metrics.setGauge
and prodserver.metrics.incrementCounter
functions to create Prometheus metrics of type gauge and counter, respectively. proprodserver.metrics.setGauge
and prodserver.metrics.incrementCounter
do not return any output.
The following test_metrics
function only creates example metrics. In practice, the MATLAB programmer, in consultation with the server administrator, creates metrics related to the deployed application that help instrument the deployed MATLAB code.
function rc = test_metrics() tic prodserver.metrics.incrementCounter("test_function_execution_count",1) toc prodserver.metrics.setGauge("test_timer_seconds",toc) rc = 0; end
Deploy MATLAB Function to Server
Package the function test_metrics.m
into a deployable archive called test_metrics
and deploy it to the server.
For details on creating and starting a server, see Create Server Instance Using Command Line (MATLAB Production Server) and Start Server Instance Using Command Line (MATLAB Production Server).
For details on creating a deployable archive and deploying it to the server, see Create Deployable Archive for MATLAB Production Server (MATLAB Production Server) and Deploy Archive to MATLAB Production Server (MATLAB Production Server).
Enable Metrics on Server
Enable the metrics service on the server by editing the server configuration file, main_config
. In main_config
, uncomment the --enable-metrics
property. Restart the server for the changes to take effect.
Execute Deployed Function
Using the language of your choice, write a client application to execute the deployed function. This example uses a cURL command on a Windows® terminal to send requests to the server. For more information on constructing requests, see JSON Representation of MATLAB Data Types (MATLAB Production Server).
The following command executes the function test_metrics
deployed to a server running at http://localhost:9910
. Executing the function increments the test_function_execution_count
metric by 1 and sets the test_timer_seconds
metric to a varying number.
curl -v -H Content-Type:application/json -d '{"nargout":0,"rhs":[]}' http://localhost:9910/test_metrics/test_metrics
Query Metrics Service to Retrieve Custom Metrics
Custom metrics are registered on the server after a client calls the deployed MATLAB function. To retrieve the metrics, use the GET Metrics (MATLAB Production Server) API by accessing the following URL in a web browser. In practice, a Prometheus server scrapes the metrics HTTP/HTTPS endpoint.
http://localhost:9910/api/metrics
test_function_execution_count
and test_timer_seconds
custom metrics, along with the name of the deployable archive, test_metrics
, that generates the metrics.# TYPE matlabprodserver_up_time_seconds counter matlabprodserver_up_time_seconds 16705.3 # TYPE matlabprodserver_queue_time_seconds gauge matlabprodserver_queue_time_seconds 0 # TYPE matlabprodserver_cpu_time_seconds counter matlabprodserver_cpu_time_seconds 29.1406 # TYPE matlabprodserver_memory_working_set_bytes gauge matlabprodserver_memory_working_set_bytes 5.17153e+08 # TYPE matlabprodserver_requests_accepted_total counter matlabprodserver_requests_accepted_total 7 # TYPE matlabprodserver_requests_in_queue gauge matlabprodserver_requests_in_queue 0 # TYPE matlabprodserver_requests_processing gauge matlabprodserver_requests_processing 0 # TYPE matlabprodserver_requests_succeeded_total counter matlabprodserver_requests_succeeded_total 7 # TYPE matlabprodserver_requests_failed_total counter matlabprodserver_requests_failed_total 0 # TYPE matlabprodserver_requests_canceled_total counter matlabprodserver_requests_canceled_total 0 # TYPE test_function_execution_count counter test_function_execution_count{archive="test_metrics_2"} 1 # TYPE test_timer_seconds gauge test_timer_seconds{archive="test_metrics_2"} 0.0194095
Since the metric type of test_function_execution_count
is a counter, its value increases by 1 every time you execute the deployed function and query the metrics service. Since the metric type of test_timer_seconds
is a gauge, its value can increase or decrease every time you execute the deployed function and query the metrics service.
See Also
prodserver.metrics.setGauge
| prodserver.metrics.incrementCounter
Related Topics
- RESTful API for MATLAB Function Execution (MATLAB Production Server)
- Metrics Service (MATLAB Production Server)
- GET Metrics (MATLAB Production Server)