There is a long journey ahead of us and we are more energised than ever to build the financial ecosystem for disruptors.
To ensure customer satisfaction, a business must approach fraud mitigation in more ways than one and empower the Operations team with data.
If you’re making the switch from tech to product, you need to know that good developers don’t really need to have the solution explained to them in as much detail as you’d expect.
A good Developer Experience is when a developer can get their work done in an optimised manner, without being worried about multiple things.
From a payments solution provider to a neobank, we are now present at every stage of a business’s money management processes, powering their finances to help them grow their business.
On a fateful Friday night, we at Razorpay set out to understand how the RDS Multi-AZ replication works.
ML is a set of algorithms that can actively recognize patterns from large amounts of data and use these patterns to predict a certain parameter–in this case, whether a given order is fraudulent or not.
In these testing times, we have taken steps and measures to ensure that our products are not disrupted and cour customers are kept up and running.
This is the first part of our journey into data engineering systems at scale, and here, we focus on terms of our scalable real-time data highway.
From acquiring two startups to launching 8 new products, 2019 has been a fabulous year for Razorpay. Here are notable highlights in our year-end review.