Chapter 3 Design Figure 3-29. Elastic Stack • Elasticsearch is a search server based on Apache Lucene. It provides distributed full-text search engine capabilities with RESTful web services. It stores and indexes the data. • Kibana visually explores the data by querying Elasticsearch, or you can use their custom UI to fulfill the search requirements on the basis of their domain and fields. It is an analytics and visualization platform, which provides dashboards and charts for visualizing the data as per the search query. Elastic stack can be deployed on Elastic Cloud or can be deployed as a standalone cluster. It can be used in e-commerce applications for filtering the data by end user, such as filtering by brand name and other features of the product. It can also be used for application performance monitoring (APM); log data from the application server can be loaded to Elasticsearch using Beats, and key performance indicators (KPIs) analysis will be displayed on the dashboard using Kibana. • SolrStack: The Solr technology stack has multiple components available to build solutions on top of it, such as Logstash, Apache Solr, and Banana as shown in Figure 3-30: • Apache Solr collects the data from different data sources through the connectors; the data source can be data streams, files, application databases and documents, etc. Solr provides the parameters required (data) for visualization to Banana. 110