Enhancing workload observability using Amazon CloudWatch Embedded Metric Format
Pulled from these two projects using the Embedded Metric Format Specification as a reference guide.
- Node: https://github.com/awslabs/aws-embedded-metrics-node
- Python: https://github.com/awslabs/aws-embedded-metrics-python
However, unlike these projects, we differ in the following ways. Again, contributions are very much welcome if you want to see more or change this.
- Initial focus on Lambda. A TCP sink has been added, but no UDP sink exists.
- No default Dimensions or Configuration for:
ServiceNameServiceType
Add this line to your application's Gemfile:
gem 'aws-embedded-metrics-customink'If using outside of Rails, require the gem:
require 'aws-embedded-metrics-customink'Simple configuration:
Aws::Embedded::Metrics.configure do |c|
c.namespace = 'MyApplication'
# Optional
c.log_group_name = 'MyLogGroup'
c.log_stream_name = 'MyLogStream-UniqueID'
endUsing the Logger sink to write to a log file:
Aws::Embedded::Metrics.configure do |c|
c.sink = Aws::Embedded::Metrics::Sinks::Logger.new(Rails.logger)
endUsing the Tcp sink to write over a network:
Aws::Embedded::Metrics.configure do |c|
c.sink = Aws::Embedded::Metrics::Sinks::Tcp.new(conn_str: "tcp://localhost:25888",
logger: Rails.logger)
endUsage is in a scope block. All metrics are flushed afterward
Aws::Embedded::Metrics.logger do |metrics|
metrics.put_dimension 'SomeDimension', 'SomeDimensionValue'
metrics.set_property 'EventKey', 'some/s3/path'
metrics.put_metric 'Processor', 232, 'Milliseconds'
metrics.put_metric 'Total', 4008, 'Milliseconds'
endAnd want to instrument metrics deep in your code during the request/response lifecycle? Consider creating a PORO like this Metrics example.
class MyMetrics < Aws::Embedded::Metrics::Instance
endThis object is ready to use as a per-request singleton that acts as a simple delegator to all metrics/logger methods. A great way to hook it up for your application is in ApplicationController.
class ApplicationController < ActionController::Base
around_action :embedded_metrics
private
def embedded_metrics
Aws::Embedded::Metrics.logger do |metrics|
MyMetrics.instance = MyMetrics.new(metrics)
yield
end
end
endNow you can happily instrument your code.
proof, time = MyMetrics.benchmark { @imagebuilder.data }
MyMetrics.put_metric 'ImageBuilderTime', time, 'Milliseconds'
MyMetrics.set_property 'ImageId', params[:image_id]After checking out the repo, run bin/setup to install dependencies. Then, run bin/test to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.
Bug reports and pull requests are welcome on GitHub at https://github.com/customink/aws-embedded-metrics-customink. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the code of conduct.
The gem is available as open source under the terms of the MIT License.
Everyone interacting in the Aws::Embedded::Metrics project's codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.