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...
In this blog, we are explaining different approaches on how we can build a dataset in Adobe Experience Platform to perform cross-device analysis using Customer Journey Analytics which was incepted from multiple customer requests.
We live in a world full of great digital and physical experiences. Companies invest heavily in creating personalized and enthralling experiences to capture the attention of their customers. These experiences help companies attract, retain, and grow their customer base.
This blog details a single implementation for a publishing customer on Adobe Experience Platform. Not all aspects are guaranteed as general availability. If you need professional guidance on how to proceed, please reach out to Adobe Consulting Services on this topic.
In this post, Adobe Experience Platform introduces the fourth in its series of Digital Experience Blueprints — a whole new way to learn and understand how you can use its technology to build incredible customer experiences in real-time.
Adobe Experience Platform’s Orchestration Service provides APIs to author and manage multi-step workflows. Behind the scenes, this service leverages Apache Airflow as its workflow execution engine. It supports two types of workflow triggering/execution mechanism.
This post provides the steps necessary for Adobe Analytics users to take to ensure their cookies will continue to provide the data they need for customers using the new Chrome 80 browser.
This blog describes how Adobe Experience Platform Identity Service works with identity data to help our customers develop the information-rich profiles they need to engage their customers at a deeper level. Check out the preceding blog about Identity Graph here.
This post offers a behind-the-scenes look at Adobe Experience Platform process for evaluating streaming frameworks for large-scale event processing to provide better customer experiences with Adobe Experience Cloud.
Learn how Adobe Experience Platform is pushing the boundaries of what Jupyter Notebooks can do — making data science at scale easier, faster, and more powerful with pre-built notebooks and innovative plug-ins, one-click packaging of Jupyter notebooks to recipes, parameterized notebooks, and capabili...
In this blog post, we take a look at how and why we developed the otsdb-protector tool to protect OpenTSDB from query abuse across the Adobe Experience Platform. We figured out what kind of query abuse was taking place and how otsdb-protector helps stop the problem.
This post is the second of a two-part series on our ongoing Adobe Experience Platform Edge Network project and how it will streamline customer interactions with Adobe Experience Cloud Edge services. Check part one: Simplifying Customer Workflows with Adobe Experience Platform Web SDK.
Read about Adobe Experience Platform’s experience using Spinnaker installed with Kubernetes to turn a cumbersome and error-prone, script-based deployment of critical applications into a fast and easy process resulting in better security, higher availability, and lower costs.
The following is a practical overview of why we transitioned from Amazon Redshift to Snowflake to streamline Adobe Audience Manager within Adobe Experience Platform.
In this post, Adobe Experience Platform offers a sneak peek at the Campaign Activation Tool it is developing to provide bidirectional integration between Adobe Experience Platform and Adobe Campaign Classic. Not all aspects are guaranteed as general availability. If you need professional guidance on...
This post describes our innovative audience segmentation service and how it empowers Adobe Experience Platform customers to easily explore and understand their audiences for effective targeting.
Enterprises today are amassing a tremendous wealth of customer data yet most continue to struggle with using their data to its fullest potential. This post describes how Adobe Experience Platform was able to help large enterprise customers better leverage its data and its mobile app to send personal...
Enterprises today are amassing a tremendous wealth of customer data yet most continue to struggle with using their data to its fullest potential. This post describes how Adobe Experience Platform was able to help large enterprise customers better leverage its data and its mobile app to send personal...
In this post, we look at the process for capturing the latest event experience across multiple products in Adobe Experience Platform. We also dive into how this technique can be used to create dynamic list segmentation for these products.
In this blog, we explain how Adobe’s Pipeline service solved a noisy neighbor problem on its HTTP API to protect Adobe Experience Platform from inadvertent or malicious overuse. We explore the options we had and take a deep technical look at the solution we decide to implement.
This post provides a synopsis of a proof-of-concept that Adobe Experience Platform developed for a large B2B company to meet several business needs that are common across almost all industries. Our developers solved every one of the customer’s uses and in the process, proved that Adobe Experience Pl...
This post describes how Adobe Experience Platform designs, deploys and manages production-ready Kubernetes clusters running on Amazon EKS, while also providing recommendations and open source tooling for developers interested in achieving the same.
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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.13
