The PayPal Technology Blog

Everyday thousands of PayPal data scientists, analysts, and researchers use PayPal Cosmos.AI to deploy AI/ML models and solutions.

How PayPal achieved a remarkable cloud cost reduction through strategic GPU utilization

In the ever-evolving landscape of software development, productivity and efficiency have become paramount to success. Developers are…

PayPal supports over 400 million active consumers and merchants worldwide. Every minute there are several thousand payment transactions. To…

Recurring payments have become an integral part of the modern digital economy, offering convenience and predictability for both consumers…

Accepting online payments is now a universal must-have, catering to everyone from solo entrepreneurs to massive global corporations.

The world of technology is constantly evolving, and developers are at the forefront of this dynamic landscape. Staying updated on the…

In the fast-paced digital payment world, seamless integration is essential for developers aiming to embed PayPal into their applications…

How does PayPal leverage Graph Technology to combat ATO Fraud Risk

Prevent organized and repeat fraudsters by using a home-grown graph platform

GraphQL resolvers can be easy to build, but difficult to get right. Here’s a look at PayPal’s best practices for building them.

Braintree Payments uses PostgreSQL as its primary datastore. We rely heavily on the data safety and consistency guarantees a traditional…

I work as an SRE at iZettle and, at times, during my on-call it can be challenging to understand the contributing factors of incidents…

Ever wondered what kinds of traffic go through your IoT devices and home internet network? Here’s how you can get good visibility.

Currently, PayPal is in the process of migrating its analytical workloads to Google Cloud Processing (GCP)