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License: MIT License
Make Monitoring possible by exposing metrics
This series of blog post describes how to set up stream processing.
The build process of kafkaProducer inside Docker is not working. Several attempts to fix this problem failed.
It seems, that this microservice has to be set up once again.
During this set up, regularly builds with Docker should be mandatory to avoid this problem for future services.
Knowledge about unixtime conversion is necessary to request data from the OpenWeatherAPI
Update the prototype of the open weather API request
convert Realtime > UNIX time and send request
receive JSON, convert to POJO History, convert time to real time and print the result
Helper to check https://www.unixtime.de/index.php
This provides a first overview of spring-kafka.
Use this tutorial as an entry point.
Switch to a non-blocking client. See this comparison for further details.
Create a simple Dockerfile and improve it to a Multi-Stage Build in a second step.
Use lombok within this project instead of generating SETTER and GETTER manually or using your IDE.
See following links for further details.
include the three services:
set up a common network with the project
Do one or more of the following in the introduction:
Inform the reader:
This provides a first overview of spring-kafka
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