Streaming weather data using Apache Kafka and Elastic Stack.

Data source: https://openweathermap.org/api

Objectives: Develop a streaming data pipeline to extract weather data from OpenWeather API using Apache Kafka, Logstash, Elasticserach and Kibana (Kafka + ELK Stack).

To summarize, Python was used to develop a Kakfa producer that requests weather data from OpenWeather API every minute and sends it as a message to Apache Kafka. Logstash, as a Kafka consumer, consumes the data and stores it into Elasticsearch. Kibana uses the data from Elasticsearch to display the dashboard.

• bash elk/start_elastic_docker.sh
• bash kafka/start_kafka_docker.sh
• Create a topic using kafka manager: localhost:9000

Logstash installed locally*

• $LOGSTASH_HOME/bin/logstash -f $LOGSTASH_HOME/config/pipeline.conf

Before running Kafka Producer, is needed to set the API key inside the weather_api_key.ini file*

• python3 weather_kfk_producer.py
• Access Kibana: localhost:5601
• Create an index pattern: must match with your index name inside pipeline.conf
• Develop your dashboard.