How to set up Digibee API metrics with Datadog
Learn how to integrate Datadog metrics.
Datadog is a monitoring platform that provides extensive visibility into the performance and health of various aspects of a company’s IT infrastructure, applications, and services.
It has built-in integrations with several other resources such as cloud services, programming languages, etc. For an overview of all available integrations, see Datadog Integrations.
Requirements
Datadog Agent Version >= 6.6.0.
Feature enabled for your realm.
Username, Password and API Key generated on the Digibee APIs menu.
Connection between your Datadog Platform and Digibee Integration Platform cluster.
Example of usage
Configuration
Create or edit the file openmetrics.d/conf.yaml in the root of your Agent’s configuration directory. Use the configuration below:
Add your username using the format: <realm>-<username>, as shown in Digibee APIs.
Variables
1
DIGIBEE_SERVICES_API_URL
URL displayed on the APIs credentials page after setting up a credential.
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 Datadog
When the Agent is set up to collect metrics, you can use them to create comprehensive Datadog alerts, charts, and dashboards.
Metrics
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
rabbitmq_queue_messages
Number of messages in the queue in a given time.
Gauge
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