elastic

Ingram Micro, a Fortune 100 company operating in 56 countries, is a global leader in delivering technology and supply chain services to businesses. The company's ecommerce business, which contributes significantly to its success, focuses on B2B customers and logs over $12 billion in annual sales. However, Ingram Micro faced challenges with its ecommerce site's search experience. Data showed that 70% of the site's visitors went directly from the home page to the search bar, and 70% of the products added to the checkout cart were added from the search bar. The company's search needed to accommodate complex indexing from their large catalog, variable visibility, variable price, multiple content sources, and additional context required for global operations. However, the existing search experience was poor, with low conversion rates and long search result times. It took over 20 seconds on average to get search results back, and updating the product catalog took over 8 hours, sometimes even 24 hours, limiting the company's ability to quickly display the newest products available.

InfoTrack, a legal technology company, was facing challenges in managing its IT system log data and legal document data for its customers. The company was initially using Amazon Elasticsearch Service, but it ran into security and performance issues. The version of the Elastic Stack used by Amazon Elasticsearch Service only allowed security using IP restriction and restricted developers from tuning the underlying Java Virtual Machine (JVM). Additionally, InfoTrack lacked access to additional features of the Stack, including APM, Index Lifecycle Management (ILM), and Graph. This limited their potential in architecting their system for long-term success and stability, and ensuring they were getting the most value out of the data available to them. Furthermore, the company was struggling with manual logging, which became too time-consuming as InfoTrack grew and didn’t allow developers to trace and debug applications.