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Put Cloudwatch metrics with Node.js
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Put Cloudwatch metrics with Node.js
The idea here is to make it easy to send a single custom metric with multiple dimensions.
Multiple dimensions for a single metric are pretty much useless with custom metrics.
https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_concepts.html
The whole reason to have multiple dimensions would be if you want to slice and dice (which AWS allow you to do with some of their built in metrics, but not with custom metrics).
Here we are just making it easy to send multiple copies of a single metric each with a different dimension. You will have to do your own aggregating, but at least you have the data split out.
Quick Start
The first m.putMetricData()
won't do anything because there's
nothing to do.
The second one will send metric data as show in putMetricData()
Results below.
const options = {
namespace: 'IXLEH/RawBatches',
dimensions: {
LambdaFunction: 'raw-lambda',
LambdaFunctionCustomer: 'raw-lambda-zexint07rust01',
},
metrics: {
LambdaInits: { unit: 'Count', dimensions: [ 'LambdaFunction' ] },
BatchesSent: { unit: 'Count', skipZero: true },
EventsSent: { unit: 'Count' },
}
}
const m = new Metrics(options)
m.putMetricData()
.then((result) => {
console.log('RESULT', result)
})
.catch((err) => {
console.log('ERROR', err)
})
m.addMetric('LambdaInits')
m.addMetric('BatchesSent', [3823, 0, 4], [1, 4, 2])
m.addMetric('EventsSent', 0)
m.putMetricData()
.then((result) => {
console.log('RESULT', result)
})
.catch((err) => {
console.log('ERROR', err)
})
putMetricData()
Results
[AWS cloudwatch 200 0.699s 0 retries] putMetricData({ MetricData:
[ { MetricName: 'LambdaInits',
Dimensions: [ { Name: 'LambdaFunction', Value: 'raw-lambda' }, [length]: 1 ],
Timestamp: 2019-06-13T12:58:56.011Z,
Unit: 'Count',
Counts: [ 1, [length]: 1 ],
Values: [ 1, [length]: 1 ] },
{ MetricName: 'BatchesSent',
Dimensions: [ { Name: 'LambdaFunction', Value: 'raw-lambda' }, [length]: 1 ],
Timestamp: 2019-06-13T12:58:56.011Z,
Unit: 'Count',
Counts: [ 1, 2, [length]: 2 ],
Values: [ 3823, 4, [length]: 2 ] },
{ MetricName: 'BatchesSent',
Dimensions:
[ { Name: 'LambdaFunctionCustomer',
Value: 'raw-lambda-zexint07rust01' },
[length]: 1 ],
Timestamp: 2019-06-13T12:58:56.011Z,
Unit: 'Count',
Counts: [ 1, 2, [length]: 2 ],
Values: [ 3823, 4, [length]: 2 ] },
{ MetricName: 'EventsSent',
Dimensions: [ { Name: 'LambdaFunction', Value: 'raw-lambda' }, [length]: 1 ],
Timestamp: 2019-06-13T12:58:56.011Z,
Unit: 'Count',
Counts: [ 1, [length]: 1 ],
Values: [ 0, [length]: 1 ] },
{ MetricName: 'EventsSent',
Dimensions:
[ { Name: 'LambdaFunctionCustomer',
Value: 'raw-lambda-zexint07rust01' },
[length]: 1 ],
Timestamp: 2019-06-13T12:58:56.011Z,
Unit: 'Count',
Counts: [ 1, [length]: 1 ],
Values: [ 0, [length]: 1 ] },
[length]: 5 ],
Namespace: 'IXLEH/RawBatches' })
RESULT { ResponseMetadata: { RequestId: '04c7d5a0-8ddb-11e9-9b6f-390ace764264' } }
AWS Credentials
You can set up your credentials for AWS as follows.
Environment Variables
# AWS_SDK_LOAD_CONFIG Tells AWS to read region and other info from ~/.aws/config
export AWS_SDK_LOAD_CONFIG=true
# If you are using a profile other than the default you can specify it here.
export AWS_PROFILE=my-profile
~/.aws/config
[default]
region = us-west-2
[my-profile]
region = us-east-1
~/.aws/credentials
[default]
aws_access_key_id=AKxxxxxxxxxxxxxW6
aws_secret_access_key=n3j******H9I
[my-profile]
aws_access_key_id=AS****VZ
aws_secret_access_key=jI*****8R8
aws_session_token=FQ***joBQ==
Get Metrics from Cloudwatch
Here's how you can read the metrics back from Cloudwatch.
# put some metrics data
./index.js
# define our metric data queries
read -r -d "" rawQ <<EOF
[{
"Id": "a$(echo $(uuidgen) | cut -d'-' -f 1)",
"MetricStat": {
"Metric": {
"Namespace": "IXLEH/RawBatches",
"MetricName": "LambdaInits",
"Dimensions": [{
"Name": "LambdaFunction",
"Value": "raw-lambda"
}]
},
"Period": 60,
"Stat": "Sum",
"Unit": "Count"
},
"ReturnData": true
},{
"Id": "a$(echo $(uuidgen) | cut -d'-' -f 1)",
"MetricStat": {
"Metric": {
"Namespace": "IXLEH/RawBatches",
"MetricName": "EventsSent",
"Dimensions": [{
"Name": "LambdaFunction",
"Value": "raw-lambda"
}]
},
"Period": 60,
"Stat": "Sum",
"Unit": "Count"
},
"ReturnData": true
},{
"Id": "a$(echo $(uuidgen) | cut -d'-' -f 1)",
"MetricStat": {
"Metric": {
"Namespace": "IXLEH/RawBatches",
"MetricName": "BatchesSent",
"Dimensions": [{
"Name": "LambdaFunctionCustomer",
"Value": "raw-lambda-zexint07rust01"
}]
},
"Period": 60,
"Stat": "Sum",
"Unit": "Count"
},
"ReturnData": true
}]
EOF
# get some metrics from cloudwatch
aws cloudwatch get-metric-data \
--region us-west-2 \
--metric-data-queries "${rawQ}" \
--start-time 2019-06-13T13:17:00Z \
--end-time $(date -u +"%Y-%m-%dT%H:%M:%SZ")
# --start-time $(date --date '-40 min' -u +"%Y-%m-%dT%H:%M:%SZ") \
Results
{
"MetricDataResults": [
{
"Id": "aB78F2DD8",
"Label": "raw-lambda LambdaInits",
"Timestamps": [
"2019-06-13T13:17:00Z"
],
"Values": [
1.0
],
"StatusCode": "Complete"
},
{
"Id": "aDCD997A1",
"Label": "raw-lambda EventsSent",
"Timestamps": [
"2019-06-13T13:17:00Z"
],
"Values": [
0.0
],
"StatusCode": "Complete"
},
{
"Id": "a416EED09",
"Label": "raw-lambda-zexint07rust01 BatchesSent",
"Timestamps": [
"2019-06-13T13:17:00Z"
],
"Values": [
3831.0
],
"StatusCode": "Complete"
}
],
"Messages": []
}
AWS Lambda Built in Metrics
Below is the query for getting the count of Invocations
for a given
Lambda function. You also get Errors
, Duration
, etc.
See: https://docs.aws.amazon.com/lambda/latest/dg/monitoring-functions-metrics.html
{
"Id": "a$(echo $(uuidgen) | cut -d'-' -f 1)",
"MetricStat": {
"Metric": {
"Namespace": "AWS/Lambda",
"MetricName": "Invocations",
"Dimensions": [{
"Name": "FunctionName",
"Value": "throttler-lambda"
}]
},
"Period": 60,
"Stat": "Sum",
"Unit": "Count"
},
"ReturnData": true
}