Huawei Cloud CES Receiver
This receiver contains the implementation of the Huawei Cloud Cloud Eye Service (CES) receiver for the OpenTelemetry Collector. The receiver collects metrics from Huawei Cloud's CES service and sends them to the OpenTelemetry Collector for processing and exporting.
Configuration
The following settings are required:
-
region_id
: The ID of the Huawei Cloud region from which metrics are collected. For example, eu-west-101
. The full list of the available regions can be found here.
-
project_id
: The ID of the project in Huawei Cloud. This is used to identify which project's metrics are to be collected. See Obtaining a Project ID.
-
period
: The aggregation granularity of metrics retrieved from CES in seconds. For details about the aggregation, see What Is Rollup?. Possible values are 1, 300, 1200, 3600, 14400, and 86400.
- 1: Cloud Eye performs no aggregation and displays raw data.
- 300: Cloud Eye aggregates data every 5 minutes.
- 1200: Cloud Eye aggregates data every 20 minutes.
- 3600: Cloud Eye aggregates data every hour.
- 14400: Cloud Eye aggregates data every 4 hours.
- 86400: Cloud Eye aggregates data every 24 hours.
-
filter
: The filter field determines the aggregation method used for the metrics. This aggregation is applied to the data points within the specified period. Valid values for filter include:
average
: Calculates the average value over the period.
min
: Retrieves the minimum value within the period.
max
: Retrieves the maximum value within the period.
sum
: Computes the sum of all data points within the period.
variance
: Calculates the variance (square of the standard deviation) for the data points.
-
no_verify_ssl
: A boolean flag indicating whether SSL verification should be disabled. Set to True to disable SSL verification.
-
access_key
: The access key needed for CES authentification. Check Huawei Cloud SDK Authentication Setup
section for more details.
-
secret_key
: The secret key needed for CES authentification. Check Huawei Cloud SDK Authentication Setup
section for more details.
The following settings are optional:
-
initial_delay
: The delay before the first collection of metrics begins. This is a duration field, such as 5s for 5 seconds.
-
collection_interval
(default = 60s
): This is the interval at which this receiver collects metrics. This value must be a string readable by Golang's time.ParseDuration. Valid time units are ns
, us
(or µs
), ms
, s
, m
, h
. We recommend a polling interval of at least one minute.
-
retry_on_failure
: The following configurations can be used to control the retry policy of the CES client. The default values are suitable for most deployment scenarios.
enabled
(default true)
initial_interval
(default 100ms)
max_interval
(default 1s)
max_elapsed_time
(default 15s)
randomization_factor
(default 0.5)
multiplier
(default 1.5)
Example Configuration
receivers:
huaweicloudcesreceiver:
collection_interval: 3h
initial_delay: 5s
region_id: eu-west-101
access_key: ${env:HUAWEICLOUD_SDK_AK}
secret_key: ${env:HUAWEICLOUD_SDK_SK}
project_id: "project_1"
period: 300
filter: average
no_verify_ssl: True
The full list of settings exposed for this receiver are documented here.
Huawei Cloud SDK Authentication Setup
To ensure secure authentication, the Access Key (AK) and Secret Key (SK) used by the Huawei Cloud SDK must be stored in environment variables. See Obtaining an AK/SK.
Before running the application, you need to set the environment variables HUAWEICLOUD_SDK_AK
and HUAWEICLOUD_SDK_SK
in your local environment. Here’s how you can do it:
-
Open your terminal.
-
Set the environment variables by executing the following commands:
export HUAWEICLOUD_SDK_AK=your-access-key
export HUAWEICLOUD_SDK_SK=your-secret-key
-
Verify that the variables are set correctly:
echo $HUAWEICLOUD_SDK_AK
echo $HUAWEICLOUD_SDK_SK
Error handling
If you encounter any errors, please refer to:
Converting CES metric representation to Open Telementery metric representation
Source Field |
Target Field |
Description |
metric_name |
scoped_metric.metric.name |
The name of the metric. |
unit |
scoped_metric.metric.unit |
The unit of the metric, e.g., % , bit/s . |
datapoints.value |
scoped_metric.metric.gauge.data_points.value |
The value of the metric at the specified timestamp. |
datapoints.timestamp |
scoped_metric.metric.gauge.data_points.timestamp |
The timestamp of the metric in nanoseconds. Converted from milliseconds by multiplying by 1,000,000. |
dimensions.name |
key of scoped_metric.metric.metadata |
The dimension name stored as an attribute. |
dimensions.value |
value of scoped_metric.metric.metadata |
The dimension value stored as an attribute. |
Receiver Config |
resource.attributes["project.id"] |
The project ID used in the configuration file of the receiver. |
Receiver Config |
resource.attributes["region.id"] |
The region ID used in the configuration file of the receiver. |
namespace |
resource.attributes["service.namespace"] |
The namespace of the metric, e.g., SYS.VPC , stored as an attribute with the key service.namespace . |
N/A |
resource.attributes["cloud.provider"] |
Set to "huawei_cloud" as the cloud provider. |
N/A |
scoped_metric.scope.name |
Set to "huawei_cloud_ces" as the scope name. |
N/A |
scoped_metric.scope.version |
Set to "v1" as the scope version. |
|
Notes
- The
timestamp
field in the source is converted from milliseconds to nanoseconds in the target field.
- Some fields are added in the target format with constant values to provide additional context and metadata.
Example:
[
{
"unit": "%",
"datapoints": [
{ "average": 10, "timestamp": 1722580500000 },
{ "average": 20, "timestamp": 1722580800000 }
],
"namespace": "SYS.ECS",
"metric_name": "cpu_util",
"dimensions": [
{
"name": "instance_id",
"value": "faea5b75-e390-4e2b-8733-9226a9026070"
}
]
},
{
"unit": "%",
"datapoints": [
{ "average": 30, "timestamp": 1722580500000 },
{ "average": 40, "timestamp": 1722580800000 }
],
"namespace": "SYS.ECS",
"metric_name": "mem_util",
"dimensions": [
{
"name": "instance_id",
"value": "abcea5b75-e390-4e2b-8733-9226a9026070"
}
]
},
{
"unit": "bit/s",
"datapoints": [
{ "average": 1024, "timestamp": 1722580500000},
{ "average": 2048, "timestamp": 1722580800000}
],
"namespace": "SYS.VPC",
"metric_name": "upstream_bandwidth_usage",
"dimensions": [
{
"name": "publicip_id",
"value": "test-baae-4dd9-ad3f-1234"
}
]
}
]
converts to
{
"resourceMetrics": [
{
"resource": {
"attributes": {
"cloud.provider": "huawei_cloud",
"project.id": "project_1",
"region.id": "eu-west-101",
"system.namespace": "SYS.ECS",
}
},
"scopeMetrics": [
{
"scope": { "name": "huawei_cloud_ces", "version": "v1" },
"metrics": [
{
"name": "cpu_util",
"unit": "%",
"gauge": {
"dataPoints": [
{ "timeUnixNano": "1722580500000000000", "asDouble": 10 },
{ "timeUnixNano": "1722580800000000000", "asDouble": 20 }
]
},
"metadata": {
"instance_id": "faea5b75-e390-4e2b-8733-9226a9026070",
}
}
]
},
{
"scope": { "name": "huawei_cloud_ces", "version": "v1" },
"metrics": [
{
"name": "mem_util",
"unit": "%",
"gauge": {
"dataPoints": [
{ "timeUnixNano": "1722580500000000000", "asDouble": 30 },
{ "timeUnixNano": "1722580800000000000", "asDouble": 40 }
]
},
"metadata": {
"instance_id": "abcea5b75-e390-4e2b-8733-9226a9026070",
}
}
]
}
]
},
{
"resource": {
"attributes": {
"cloud.provider": "huawei_cloud",
"project.id": "project_1",
"region.id": "eu-west-101",
"system.namespace": "SYS.VPC",
}
},
"scopeMetrics": [
{
"scope": { "name": "huawei_cloud_ces", "version": "v1" },
"metrics": [
{
"name": "upstream_bandwidth_usage",
"unit": "bits/s",
"gauge": {
"dataPoints": [
{ "timeUnixNano": "1722580500000000000", "asDouble": 1024 },
{ "timeUnixNano": "1722580800000000000", "asDouble": 2048 }
]
},
"metadata": {
"publicip_id": "test-baae-4dd9-ad3f-1234",
}
}
]
}
]
}
]
}