StormCrawler, an open-source web crawler written in Java, leverages Apache Storm for scalability and Elasticsearch for storage and indexing, making it both lightweight and versatile. Its modular design allows for easy extension and customization, enabling organizations to use it for large-scale data crawling and search indexing. The integration with Elasticsearch not only facilitates the indexing of crawled data, including metadata such as URLs, titles, and keywords, but also enhances performance and visibility through powerful analytics tools like Kibana. Various organizations, such as the Government of Northwestern Territory and Common Crawl, have successfully employed StormCrawler alongside Elasticsearch to replace legacy systems and maintain vast web archives, respectively. Pixray uses customized versions of StormCrawler for extensive image tracking, benefiting from the real-time data insights and responsiveness it provides compared to their previous Apache Nutch setup. Julien Nioche, the author of StormCrawler, highlights its continuous improvements and potential future enhancements, such as integrating the new Storm metrics API with Elasticsearch for broader applicability beyond web crawling.