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IKE AI2-internal Details

Planning Document


  1. Get the IKE deployment key. It's in the ai2-secure bucket in S3, called
  2. Set the AWS_PEM_FILE variable to point at the private key file.
  3. All deploy configs and scripts are in the AI2 private deploy repo, under the ike directory. In order to use them, clone the deploy project locally.
  4. Run the script [] from the deploy repo, which will set up symlinks to the paths expected by the deploy script.
  5. If you want to create a new machine, run the script in It will create a new instance in EC2 and set it up for deployment. If you want to deploy to the existing machine, skip this step.
  6. Run sbt "deploy prod" / sbt "deploy test".


IKEs logs to standard out and to a rotated logs file in /local/deploy/ike/logs, just like all other AI2 services. In addition to that, it logs to Papertrail at Papertrail is configured to write archives to a bucket in S3 named ai2-papertrail-backup. All archives go there, not only IKE, so to get the IKE logs you have to filter them out.

Usage logging

IKE logs usage information, such as who is using the tool, how much are they using it, and which features are most popular. All that information goes into the logs together with all other logging information, but it uses the special logger named "Usage". There is a preconfigured search in Papertrail that shows this information at

The key thing about the usage logger is that the first token in the log message is always the thing being used, i.e., groupedSearch or similarPhrases or some such. The rest of the message is extra information that's specific to the thing being used.

So far we have no tools to analyze this information further.