Snoonu, a burgeoning tech company in Qatar, commands a 30% share of the local market through its versatile app that offers various delivery services, ranging from food to pharmaceuticals. However, the company faced significant challenges due to performance issues and escalating costs tied to its diverse workloads spread across multiple cloud providers. The most critical of these issues revolved around FalconFlex, an application vital for driver dispatch and package matching, which was plagued by slow performance and availability problems. Recognizing the need for a more robust and consolidated cloud solution, Snoonu opted to re-engineer FalconFlex and migrate its workloads to AWS. This decision was driven by AWS’s ability to offer scalability suited to Snoonu’s startup nature and its array of services that could support the company’s comprehensive operational needs and future growth plans. Post-migration, Snoonu also aims to harness AWS machine learning services to automate inventory management and enhance customer experiences by providing more tailored product recommendations.
Snoonu Leverages AWS for Scalability and Improved Service Performance
Snoonu addresses performance issues and scales operations by migrating to AWS.
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