Cloud providers like AWS and Azure usually provide cost management portals, dashboards, and APIs for their own products. If a user has a multi-cloud environment, she needs to check the cost information in different places.
This AWS Cost Metrics Exporter helps users to fetch AWS cost information using AWS Cost Explorer APIs and exposes them as standard Prometheus metrics. This enables users to have cost-related metrics present in the same place where their business metrics are. The design also makes it possible to collect cost data from different providers and design one single dashboard for all the costs.
# HELP aws_daily_cost_usd Daily cost of an AWS account in USD
# TYPE aws_daily_cost_usd gauge
aws_daily_cost_usd{ChargeType="Usage",EnvironmentName="sandbox",ProjectName="myproject",Publisher="<aws_account_1>",RegionName="eu-central-1"} 10.1827240691
aws_daily_cost_usd{ChargeType="Usage",EnvironmentName="sandbox",ProjectName="myproject",Publisher="<aws_account_1>",RegionName="other"} 4.258201088100001
aws_daily_cost_usd{ChargeType="Usage",EnvironmentName="prod",ProjectName="myproject",Publisher="<aws_account_2>",RegionName="eu-central-1"} 68.6121380948
aws_daily_cost_usd{ChargeType="Usage",EnvironmentName="prod",ProjectName="myproject",Publisher="<aws_account_2>",RegionName="other"} 2.6191806712
...
ps: As the metric name indicate, the metric shows the daily costs in USD. Daily
is based a fixed 24h time window, from UTC 00:00 to UTC 24:00. EnvironmentName
and ProjectName
are the custom labels that can be configured. RegionName
is a label based on group_by
configuration.
AWS Cost Metrics Exporter fetches cost data from a list of AWS accounts, each of which provides a necessary IAM role for the exporter. It regularly queries the AWS GetCostAndUsage to get the whole AWS account's cost. It is configurable to have different queries, such as group by services and tags, merge minor cost to one single category, etc. The following figure describes how AWS Cost Metrics Exporter works.
Note that if there is a list of AWS accounts for cost data collection, only ONE user needs to be created. This user is usually created in the AWS account where the exporter is deployed (an EKS cluster). This can be done from the AWS console - IAM portal or by terraform code.
After creating the user, visit the security credentials tab and create an access key for it. The access key and secret key will be needed when deploying the exporter.
For each target AWS account, a role for AWS Cost Metrics Exporter needs to be created. The name of this role needs to be put into the configuration file (aws_assumed_role_name
).
Regarding the permissions, the role should at least have the following inline policy.
{
"Statement": [
{
"Action": "ce:GetCostAndUsage",
"Effect": "Allow",
"Resource": "*",
"Sid": ""
}
],
"Version": "2012-10-17"
}
Under the trust relationships tab, add the following policy to it (add the ARN of the created user to <arn_of_the_cretaed_user>
, the correct format should be arn:aws:iam::xxxxxxxxxxxx:user/username
):
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "",
"Effect": "Allow",
"Principal": {
"AWS": [
"<arn_of_the_cretaed_user>"
]
},
"Action": "sts:AssumeRole"
}
]
}
Modify the exporter_config.yaml
file first, then use one of the following methods to run the exporter.
docker run --rm -v ./exporter_config.yaml:/app/exporter_config.yaml -p 9090:9090 -e AWS_ACCESS_KEY=${AWS_ACCESS_KEY} -e AWS_ACCESS_SECRET=${AWS_ACCESS_SECRET} opensourceelectrolux/aws-cost-exporter:v1.0.1
- Create Namespace
kubectl create ns finops
- Create Secret
kubectl create secret generic aws-cost-exporter \
--namespace=finops \
--from-literal=aws_access_key='${AWS_ACCESS_KEY}' \
--from-literal=aws_access_secret='${AWS_ACCESS_SECRET}'
- Create ConfigMap
kubectl create configmap aws-cost-exporter-config --namespace finops --from-file=./exporter_config.yaml
- Create Deployment
kubectl create --namespace finops -f ./deployment/k8s/deployment.yaml