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A simple AWS end-point used to collect anonymised usage information for the FlowForge platform

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FlowForge Telemetry Ping App

This repo contains the code for the FlowForge Telemetry Ping App. This is a very simple HTTPS end point that is used to collect usage information from instances of FlowForge that have opted-in to sharing the information.

The received data is stored in an RDS (Postgres) table.

This service does not store any identifying information that can be used to identify individual users. The data is augmented with a hash of the sending IP address so that separate requests can be correlated - but the actual IP address is not stored.

Collected data

The collector does some very simple validation of the data posted to it - and only stores properties it knows about.

The code contains two arrays:

  • requiredProperties - a list of property names that must exist for the post to be accepted
  • optionalProperties - a list of property names that may exist.

The property names are written in dot-notation, for example env.nodejs. This means it expects the post to have a top level property called env which is an object that contains a property called nodejs.

The collector will only store properties in that list to the database. That means if new properties are added to the FlowForge code that sends the pings, they must also be added to the collector for them to be handled. This includes updating the database table structure to accept the new values.

This may prove to be overly restrictive - but as we don't anticipate a high level of churn in the metrics we gather, it should be manageable. This approach also ensures proper consideration and discussion is applied to any metric added to the data gathering process.

Updating the live collector code

Requirements

Update script

cd src
npm install
zip -r ../function.zip .
cd ..
aws lambda update-function-code --function-name telemetryPingToRDS --zip-file fileb://function.zip

If the update adds any additional properties, the database table structure must be updated to accepted the new values before the code is deployed.

This is currently done be running the appropriate ALTER TABLE commands on the database. The database-schema.sql file should also be updated as a record of the expected schema.

Testing the collector

The tests in this repo can be used to verify the behaviour of the collector against a local Postgres database.

Running postgres locally

The following will run postgress locally using Docker, with the default configuration used by the tests.

You can use a different port/username/password/db, but will need to set some environment variables to tell the tests where to find postgres.

docker pull postgres
docker run --name pingCollectorPostgres \
    -p 5432:5432 \
    -e POSTGRES_USER=postgres \
    -e POSTGRES_PASSWORD=secret \
    -e POSTGRES_DB=pings_test \
    -d \
    postgres

To later stop the container

docker stop pingCollectorPostgres

Running the tests

The tests expect the database to be running on localhost:5432 with a username/password of postgres/secret and to use a database called pings_test.

The following env vars can be set to change any of those properties:

  • PG_URL
  • PG_DB
  • PG_USER
  • PG_PW

Finally, to run the tests:

npm run test

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A simple AWS end-point used to collect anonymised usage information for the FlowForge platform

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