What is the trend of a specific topic, such as a new brand or a current issue happening somewhere in the world? This post shows how to answer this question, and several similar, using a streaming pipeline and an analytic dashboard powered by Twitter Streaming API, Solr, Logstash and Banana.
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Logs are everywhere and usually generated in large sizes and high velocities. These logs can be used to obtain useful information and insights about the domain or the process related to these logs, such as platforms, transactions, system users, etc. In this post, a realtime web (Apache2) log analytics pipeline will be built using Apache Solr, Banana, Logstash and Beats containers.
However, in order to get the pipeline running, several integration aspects related to streaming data need to be addressed through settings and patches supplied through mounted volumes. The structure of these volumes can be as below:
A container is an abstraction layer to run a software application in a lightweight environment. Containerization provides a standard and a secure way to build, ship and run applications anywhere. Docker images of Solr and Banana are available for quick installation and run.
