This is a small Go server that provides a Prometheus metrics endpoint that exposes AWS usage and limits as reported by the AWS Trusted Advisor API.
There are Docker images ready for use:
# Start exporter container
$ docker run -it --rm -p 8080:8080 -e AWS_ACCESS_KEY=<KEY> -e AWS_SECRET_ACCESS_KEY=<SECRET> \
danielfm/aws-limits-exporter:latest -logtostderr
# Scrape metrics
$ curl http://localhost:8080/metrics
For this to work, it must have access to AWS credentials in
~/.aws/credentials
, or via AWS_ACCESS_KEY_ID
and AWS_SECRET_ACCESS_KEY
environment variables.
The following IAM policy describes which actions the user must be able to perform in order for this server to work:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"support:*"
],
"Resource": [
"*"
]
}
]
}
Usage of ./bin/aws-limits-exporter:
-alsologtostderr
log to standard error as well as files
-listen-address string
The address to listen on for HTTP requests. (default ":8080")
-log_backtrace_at value
when logging hits line file:N, emit a stack trace
-log_dir string
If non-empty, write log files in this directory
-logtostderr
log to standard error instead of files
-region string
The AWS region to show metrics for (default all regions).
-stderrthreshold value
logs at or above this threshold go to stderr
-v value
log level for V logs
-vmodule value
comma-separated list of pattern=N settings for file-filtered logging
If this project is useful for you, buy me a beer!
Bitcoin: bc1qtwyfcj7pssk0krn5wyfaca47caar6nk9yyc4mu
Copyright (C) Daniel Fernandes Martins
Distributed under the New BSD License. See LICENSE for further details.