The following blog post is from Adobe Experience Platform on tips and tricks for building products for the world. It will describe best practices for how developers can easily prepare JavaScript web and mobile applications to be used effectively across different locales and cultures in order to furt...

This blog is next in the series of how Pipeline powers Stream Processing in the Adobe Experience Platform. We take a deeper technical look into how we approached Stream Computing and unlocked it as a service for our clients.

This blog is how Adobe Experience Platform was implemented at Adobe IT and Support organizations to help sales and support teams deliver better customer experiences as part of our “Customer Zero” program.

Adobe recently announced two new Streaming Sources and Destinations as part of its real-time customer data platform offering: Azure Event Hub and AWS Kinesis. This blog will detail the use cases, how we started, what technical decisions we took, and the challenges we faced while executing this relea...

This article provides conceptual and deployment information about how we are unifying fragmented identities in systems of interaction through Adobe Experience Platform identity services.

In this post, we continue our look at Adobe Experience Platform Pipeline. In the first two parts of this series, we looked at in-flight processing in Pipeline, as well as how we used Kafka to create Pipeline. This time, we look at modern CI/CD practices adopted by Adobe Experience Platform Pipeline ...

A summary of how we deployed a single enterprise-level message bus ("Pipeline") using Kafka for Adobe Experience Platform, from our presentation at Kafka Summit 2018 in San Francisco.

Location is the most personal context for designing and delivering personalized experiences. Understanding where your users are fundamentally changes how you understand and engage with them. Experience Platform Location Service enables your mobile apps with location intelligence while maintaining pr...

Experience Platform operates two “brains” that are connected with each other. First, an analytical brain, to store and process a huge amount of analytical data, run machine-learning with Data Science Workspace, query the data with Query Service. The second brain is the Real-Time Customer Profile, wh...