InfoTrack: Enhancing Data-Driven Innovation with Elasticsearch Service
Technology Category
- Application Infrastructure & Middleware - Event-Driven Application
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Buildings
- National Security & Defense
Applicable Functions
- Procurement
- Product Research & Development
Use Cases
- Tamper Detection
- Time Sensitive Networking
Services
- Cloud Planning, Design & Implementation Services
- System Integration
The Customer
InfoTrack
About The Customer
InfoTrack is a legal technology company that helps customers, including law firms, financial institutions, real estate companies, and government entities, to find, analyze, organize, and communicate information required for property or business transactions. This information includes government data related to properties and businesses as well as individual background information like police checks. InfoTrack’s platform makes all of this information searchable in one central place, revolutionizing workflow so that customers can improve productivity and grow profitability. InfoTrack has become a dominant player in its core markets and currently has 8,500 customers across Australia, United States, and the United Kingdom, and is growing at a rate of 150 new customers per month.
The Challenge
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.
The Solution
InfoTrack decided to switch from Amazon’s Elasticsearch Service to Elasticsearch Service on Elastic Cloud. This switch provided InfoTrack with greater flexibility to spin up new clusters and more robust, role-based security controls. The migration was effortless and gave InfoTrack access to the latest version of the Elastic Stack and a wider set of capabilities. InfoTrack is now using Filebeat and Metricbeat to ship data from thousands of applications into Logstash where it is transformed into a readable format. The data can then be searched and visualized in real time using Elasticsearch and Kibana. The Elasticsearch Service also provided greater flexibility when it came to hooking into different data streams and managing index life cycle. InfoTrack also used the Elastic Stack to design a new pyramid-shaped ‘product story’ which revolutionized searching on its platform. The company is now in the process of tagging the metadata of all 55+ million document orders on InfoTrack’s platform to provide a smarter and faster search mechanism across its products.
Operational Impact
Quantitative Benefit
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