The PayPal Technology Blog

Empowering developers to integrate APIs into AI frameworks.

Allowing developers to embrace the new paradigm of agentic commerce.

How we measure the impact of user actions and product adoptions at PayPal

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.

If you have been working with web applications and used progressive web applications most likely you have heard the term Service Worker. If…

Here’s why.

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

PayPal, like other large companies, has many data-centers/regions and zones with different security levels and restrictions to protect…

…using Apache Airflow scheduler and Apache Gobblin — a data integration framework open-sourced by LinkedIn.