Run Kong Server + Konga + Prometheus + Grafana + API & DDBB + Splunk

Clone the proyect and run docker-compose up

https://github.com/safernandez666/Kong-API-Manager.git && cd Kong-API-Manager

chmod +x kong-start.sh

sh kong-start.sh

Check the name of the containers for future configurations.

curl -i -X POST
--url http://localhost:8001/services/
--data 'name=MyAPI'
--data 'url=http://api:5000'

Test

curl -i http://localhost:8001/services/MyAPI

curl -i -X POST http://localhost:8001/services/MyAPI/routes
--data 'paths[]=/'
--data name=main

Test

curl -i -X GET http://localhost:8000/request

Enter on http://localhost:1337

I create the Username and Password on kus.js. It's important change the Password.

Create the connection

Add plug-in and send logs to Splunk

Let's add some security. For this, a Customer is necessary, add an Authentication method and then associate it with the route.

Create mi Customer: santiago

Generate my API KEY

My API KEY

On the route, add the use of the API Key.

Try with Postman or Command Line.

curl -X GET
'http://localhost:8000'
-H 'apikey: fwASbEngZ4zB609S7WASDt0X64R5sdkV'

Enter on http://localhost:8888 with Username: admin and Password: password

Create the Data Input on port 1514 to receive the Kong's logs. I create a panel, to visualize some data. You can create yours.

In the proyecto you have the dashboard to import.

Prometheus to store the data and Grafana to visualize it. Add the plugin.

Ingress on Grafana on http://localhost:3000 with Username: admin and Password: admin. Import data from prometheus. The docker is prometheus on port 9090.

Import the Dashboard.

Load the JSON.

Enjoy the metrics.