How to set up Digibee API metrics with Prometheus

Learn how to integrate API metrics.

Prometheus is a monitoring platform that provides comprehensive insight into the performance and health of various aspects of an organization’s IT infrastructure, applications, and services.

Requirements

• The feature must be enabled for your realm.

• Username, Password and API Key generated on the Digibee APIs menu.

• Connection between your Prometheus and the Digibee Integration Platform cluster.

Example of usage

Configuration

In your Prometheus job configuration file, add a job configuration as demonstrated below:

...
scrape_configs:
...
- job_name: digibee_platform_<ENVIRONMENT>
  scheme: https
  targets:
    - <DIGIBEE_SERVICES_API_URL>
  metrics_path: /metrics/openmetrics_raw?environment=<ENVIRONMENT>
  params:
    environment:
      - <ENVIRONMENT>
    apikey:
      - {DIGIBEE_SERVICES_API_APIKEY}
    metric:
      - <METRIC_NAME>

  basic_auth:
    username: <DIGIBEE_SERVICES_API_USERNAME>
    password: <DIGIBEE_SERVICES_API_PASSWORD>
  honor_timestamps: true
  scrape_interval: 5m
  scrape_timeout: 60s
  follow_redirects: true

Add your username using the format: <realm>-<username>, as shown in Digibee APIs.

Variables

#	Variable name	Description
1	HOST	HOST from the URL generated on the APIs credentials page after setting up a credential.eg: core.godigibee.io
2	REALM	Your realm’s name.
3	ENVIRONMENT	Environment to collect metrics from.
4	DIGIBEE_SERVICES_API_APIKEY	Generated after setting up a username and password on the Digibee APIs menu
5	DIGIBEE_SERVICES_API_USERNAME	Username created/configured on the Digibee APIs menu.
6	DIGIBEE_SERVICES_API_PASSWORD	Password created/configured on the Digibee APIs menu.
7	METRIC_NAME	List of metric names (one per line) according to the table below.

Visualizing your data in Prometheus with Grafana

Metric Name	Description	Type
jvm_memory_bytes_committed	Committed (bytes) of a given JVM memory area.	Gauge
jvm_memory_bytes_init	Initial bytes of a given JVM memory area.	Gauge
jvm_memory_bytes_max	Maximum (bytes) of a given JVM memory area.	Gauge
jvm_memory_bytes_used	Used bytes of a given JVM memory area.	Gauge
jvm_memory_pool_bytes_committed	Committed bytes of a given JVM memory pool.	Gauge
jvm_memory_pool_bytes_init	Initial bytes of a given JVM memory pool.	Gauge
jvm_memory_pool_bytes_max	Maximum bytes of a given JVM memory pool.	Gauge
jvm_memory_pool_bytes_used	Used bytes of a given JVM memory pool.	Gauge
pipeline_all_hung	Boolean indicating if all pipeline consumers are hung.	Gauge
pipeline_cached_bytes	Total cached bytes.	Summary
pipeline_component_executions_total	The total number of executions per component.	Counter
pipeline_component_processi_latency_seconds	Component processing latency in seconds.	Summary
pipeline_inflight	Number of currently running (inflight) pipelines.	Gauge
pipeline_inflight_reported_by_camel	Number of currently running (inflight) pipelines reported by Camel.	Gauge
pipeline_jvm_memory_bytes_max	Maximum (bytes) of a given JVM memory area.	Gauge
pipeline_jvm_memory_bytes_used	Used bytes of a given JVM memory area.	Gauge
pipeline_message_error_rate_in_sec	Message error rate per seconds (integer number).	Gauge
pipeline_message_monitoring_processor_latency_seconds	Message monitoring processor latency in seconds.	Summary
pipeline_message_processing_latency_seconds	Duration that a message is executed within a replica (Pipeline response time).	Summary
pipeline_message_rate_in_sec	Message rate per seconds (integer number).	Gauge
pipeline_message_size_bytes	Message size in bytes.	Summary
pipeline_process_cpu_seconds_total	Total user and system CPU time spent in seconds.	Counter
pipeline_redeliveries	Total number of messages redelivered.	Counter
pipeline_message_size_bytes	Message size in bytes.	Summary
pipeline_process_cpu_seconds_total	Total user and system CPU time spent in seconds.	Counter
rabbitmq_queue_messages	Number of messages in the queue in a given time.	Gauge