https://github.com/softwaremill/direct-production-pres
https://github.com/softwaremill/direct-production-pres
Last synced: 5 days ago
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- Host: GitHub
- URL: https://github.com/softwaremill/direct-production-pres
- Owner: softwaremill
- Created: 2025-03-14T13:51:50.000Z (11 months ago)
- Default Branch: master
- Last Pushed: 2025-04-29T07:16:09.000Z (9 months ago)
- Last Synced: 2025-04-29T08:26:36.937Z (9 months ago)
- Language: Scala
- Size: 522 KB
- Stars: 4
- Watchers: 1
- Forks: 2
- Open Issues: 3
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Metadata Files:
- Readme: README.md
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README
# Production-ready direct-style Scala
Code for the talk from Scalar 2025. The video is available here: https://www.youtube.com/watch?v=Vy-0LL0REnI
## How to run locally
1. Start the Kafka broker & associated services using `kafka/docker-compose.yml`. After some time, the control center
should be available at `http://localhost:9021`.
2. Start the Posgres database & Grafana LGTM stack (monitoring, logging, tracing) using `docker-compose.yml`. Once
again, after some time, the Grafana dashboard should be available at `http://localhost:3000`. You can login with
`admin`/`admin`.
3. Start the backend using `./backend-start.sh`. This should create the tables and start the API. OpenAPI documentation
should be available at `http://localhost:8080/api/v1/docs/`.
4. The travel page which is shown in the talk uses two external services (which are part of the distributed trace).
From an IDE, start the `scalar.directdemo.services.PickRandomService` and `scalar.directdemo.services.TravelModeService`
apps.
5. You can now try calling the trip service via OpenAPI. Once you do that, you can check in the Grafana dashboard if
the trace shows up - after a couple of seconds. Go to "explore" from the "hamburger" menu, then switch from
Prometheus to Tempo, switch to "Search" and take a look at the available traces.
6. Finally, copy `ui/.env.example` as `ui/.env` and run `./frontend-start.sh`. This should open your default browser
with `http://localhost:8081/`. Go to `http://localhost:8081/trip` and click the button - the backend service should
be called.
7. You might also open Kafka's control center, choose the `trips` topic, then the "Messages" tab, to view the result
of the background streaming.