An HTTP Server, packaged with postgres, jaegar and perf-test module in a docker, to record ad deliveries, clicks and installs, and query the statistics.

Scala as language
Http4s as server
Postgres as database
doobie as jdbc layer for scala
circe for json encoding and decoding
flywaydb for database migrations
scala open tracing for tracing context
jaegar as the tracer
docker - The application is dockerized along with postgres and jaegar
scalacheck - Generators are used to generate payload for perf-test

• Whenever an ad is loaded on a site, it is captured as a delivery.
• User clicking on the ad is captured as a click. Click contains the delivery_id that lead to the click.
• When the click leads to an install, it is captured as install. An install contains the click_id that lead to the install.
• Querying the stats is time based and/or category based (You can query stats grouped by OS and Browser)
• Sample curls for every request is present in the curls directory
• The project also contains a sub-project called perf-test which bombards the application server with requests (according to the parameters passed)
• The docker-compose.yml has the application server, postgres, jaegar-all-in-one and the perf-test-app.

• make setup_server builds a fat jar out of the server (ads-stats).
• make setup_perf_test builds a fat jar out of the perf-test sub project.
• make run_server packages postgres, jaegar and ads-stats-app(server) into a docker container and expose 127.0.0.1:8080 to the outside world.
• make perf_test_time_travel runs ads-stats-app with no-op-tracer and runs the perf-test with the arguments supplied. Use this to pre-populate your database with data while without tracing it. Eg: make perf_test_time_travel deliveries=500 delivery_to_click_ratio=0.5 click_to_install_ratio=0.5. This will insert 500 deliveries, and clicks and installs will be inserted according to the ratio specified. Note that you will not be able to see any traces in the jaegar dashboard after you run the test.
• make perf_test runs ads-stats with a valid tracer and the traces will show up on the jaegar dashboard. Eg: make perf_test delivery_to_click_ratio=0.5 click_to_install_ratio=0.5 delivery_to_query_ratio=0.25 running_time_in_seconds=50. This will run the perf-test for 50 seconds and during this time the inserts will happen in the ratio specified.

You can see the traces by going to http://localhost:16686/ on your browser. Select ads-stats-app service and then you can see the traced requests.

The ads-stats-app server is started with the these properties

-Dcom.sun.management.jmxremote.rmi.port=9090 -Dcom.sun.management.jmxremote=true -Dcom.sun.management.jmxremote.port=9090 -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false -Djava.rmi.server.hostname=127.0.0.1 -Dcom.sun.management.jmxremote.local.only=false

This allows you to monitor the JVM from your localmachine, say using VisualVM. Open Visual VM -> Remote -> Add Remote Host. Here add the IP Address of ads-stats-app. You can find the ip-address by running this command:

docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' <container-id-of-ads-stats-app>

After adding the IP address, right click on the IP address and click Add JMX Connection. A window similar to the one below should show up. Add the port 9090 to the IP address and click Ok (in my machine 172.17.0.4 happened to be the IP address of ads-stats-app).

You should be able to monitor the app now.