One of the largest hotel chains in the world, the client has 30 brands and 7,000+ properties across 131 countries and territories. Taking hospitality beyond what was thought possible, the client has over 170,000 employees across the world and generates billions of dollars of revenue each year.
One of the main challenges for this project was the adoption of more modern technologies, considering that the client was running their core business-critical process on legacy mainframe systems. The mainframe implementation was one of the core sources of compute and data for a lot of downstream business critical applications including transactional front-end and critical analytics applications. But the advantages that resulted from it also resulted in several issues that affected key business metrics, such as the high cost of running the mainframe, both due to its scale, as well as the storage required. Not only was maintaining it an issue, the talent that would be required to do so was getting increasingly harder to find, considering that the technology was old. This also meant that new technologies were not possible to integrate, thus affecting usability and performance both. Moreover, the existing integrations were implemented using monolithic APIs, which needed to be fixed as well.
The process for cloud adoption started with detailed consulting and planning discussions focused around design and architecture to understand the current state of mainframes for the client. Moreover, there was a discussion on how to transition to cloud with minimal downtime. At the next stage, LTM created technical PoCs to validate the workload movement to cloud and to preserve the integrity of the integrated systems. For this, Amazon Web Services (AWS) was used as the cloud platform, Kafka and Spark were used for data transformation, Couchbase and Postgresql for data storage, and Hadoop as the data lake platform. As a result of this, we enabled better real time and batch ingestion of data from multiple sources into the data lake and were able to transform monolithic implementation of APIs to microservices-based implementation without breaking the front-end analytics integrations.
By providing end-to-end support for the IoT platform, LTM delivered the following benefits:
Outcreate Your Business
Outcreate with LTM
Outcreate Together
