How Lendsqr saved 90% on infrastructure cost
Earlier in the year, Lendsqr implemented a strategic cloud services consolidation and migration that saved about 90% infrastructure cost on an annualized basis. It’s story when told sometimes sounds like magic and modern era impossibility. But it’s true as daylight. It started with a talk DHH gave that a lot of engineers passed around 2023. […]
The 5 best AWS alternatives for lending cloud infrastructure
Companies worldwide depend on Amazon Web Services, from Netflix and Tesla to Lendsqr. But is AWS the only infrastructure you could use to power your system? Let’s find out five other alternatives, shall we?
How we used AWS to build our identity and liveness system
Building reliable identity verification and liveness detection systems is one of the biggest challenges facing modern digital platforms, especially in fintech, lending, and online onboarding. These systems must balance speed, accuracy, scalability, fraud prevention, and user experience, all while handling large volumes of sensitive customer data securely. In this article, we explore how we used Amazon Web Services (AWS) to build our identity and liveness system, covering the infrastructure choices, architecture decisions, verification workflows, and AWS services that powered the solution. From facial recognition and document verification to scalability, security, and real-time processing, this piece breaks down the practical lessons, challenges, and technical considerations involved in developing a robust digital identity system.
