Authors: John Anderson and Nate Ross.

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This blog details how Adobe Experience Platform engineering uses GraphQL with over 40 internal contributors across 40 API endpoints at Adobe to improve their agility and velocity.

GraphQL has become an important tool for enterprises looking for a way to expose services via connected data graphs. These graph-oriented ways of thinking offer new advantages to partners and customers looking to consume data in a standardized way.

Apart from the external consumption benefits, using GraphQL at Adobe has offered our UI engineering teams a way to grapple with the challenges related to the increasingly complicated world of distributed systems. Adobe Experience…


Author: Dan Popescu.

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This blog detail one of the most common operational procedure Adobe Experience Platform performs with Spinnaker. Please note this scenario may not apply if the environment you’re working with is not dynamic. In our case, there many teams with multiple Kubernetes clusters so there is a constant need for onboarding/removing clusters or adding/removing namespaces from accounts.

Spinnaker is one of the most powerful open-source tools available for performing continuous deployments. My team is one of the first at Adobe to use Spinnaker in production at scale and over time we’ve expanded from VM deployments in AWS to Kubernetes and Azure.


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In this blog, we will be discussing how to create a ‘Store Entry’ experience for customers by sending the best in-store offers as a mobile push using Adobe Experience Platform Places Service.

Adobe Experience Platform Places Service, previously known as Adobe Experience Platform Location Service, is a geolocation service that enables mobile apps with location awareness to understand the location context by using rich and easy-to-use SDK interfaces accompanied by a flexible database of points of interest (POIs). Places Service allows our customers to:

  • Take actions such as push, email, SMS, etc from location signals in real-time, when and where…

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With the emergence of the microservice architecture pattern, several organizations build technology solutions involving data distributed across several microservices. Further, the number of such microservices and data stores within the organization continues to grow with the growing number of products, features, and capabilities.

Much of this data distributed among isolated data stores is surfaced to the end-users simply as one or more products and capabilities offered by the organization. But the end-user would want to quickly find desired data from across any of these products and capabilities using a centralized search bar or user interface. …


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Adobe Experience Platform applications provide a way to easily extend the capabilities of the popular Real-Time Customer Data Platform (RTCDP) via Journey Orchestration. The flexibility provided by Journey Orchestration is the ability to communicate with external systems to extend the current functionality of Adobe Experience Platform.

This blog details how to leverage the Custom Action feature in Journey Orchestration to directly communicate with external data platforms such as Microsoft Dynamics 365 CRM and ERP.

Important Note: For production deployments to integrate with real ERPs there would be for sure some level of authentication.

Prerequisites

Before starting, you should have the below…


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As part of Adobe Experience Platform, Audience Manager is one of the most powerful data management platforms used by marketers to collect, manage and activate audiences across multiple channels. It is purpose-built to create meaningful real-time customer experiences.

Audience Manager collects over 30 billion requests per day from the customer’s websites. This scale cannot be achieved without a globally distributed edge infrastructure that is able to perform data collection and real-time segmentation. The deployment consists of over 700 EC2 instances spread across 8 AWS regions.

Marketers can manage their audiences through a web portal, which is backed by a cloud-hosted…


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This blog is the third post of a series on Apache Iceberg at Adobe. In the first blog we gave an overview of the Adobe Experience Platform architecture. We showed how data flows through the Adobe Experience Platform, how the data’s schema is laid out, and also some of the unique challenges that it poses. We also discussed the basics of Apache Iceberg and what makes it a viable solution for our platform. Iceberg today is our de-facto data format for all datasets in our data lake.

We covered issues with ingestion throughput in the previous blog in this series…


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Frederik Werner is a German Analytics Lead and Data Scientist working in and writing about Web Analytics and Online Marketing Technology. In this fourth post of a four-part series, Frederik will provide the overview and get-started tips on Adobe Experience Platform Query Service. He gives examples of his favorite tricks using Query Service and specifically for customer journey analysis use cases in Customer Journey Analytics. It also includes how to write back data to Adobe Experience Platform.

Query Service is a feature of Adobe Experience Platform. Adobe Experience Platform provides SQL analytics and AI/ML capabilities that enable enterprises to generate…


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Frederik Werner is a German Analytics Lead and Data Scientist working in and writing about Web Analytics and Online Marketing Technology. In this second post of a four-part series, Frederik will provide the overview and get-started tips on Adobe Experience Platform Query Service. He gives examples of his favorite tricks using Query Service and specifically for customer journey analysis use cases in Customer Journey Analytics. It also includes how to write back data to Adobe Experience Platform.

Query Service is a feature of Adobe Experience Platform. Adobe Experience Platform provides SQL analytics and AI/ML capabilities that enable enterprises to generate…


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Customers use Adobe Experience Platform to centralize and standardize their data across the enterprise resulting in a 360-degree view of their data. In our earlier blog “Iceberg at Adobe”, we introduced our scale and consistency challenges and the need to move to apache Iceberg. Adobe Experience Platform is the infrastructure capable of processing exabytes of data ingested through either Streaming for low-latency use-cases or Batch where processing larger chunks of data efficiently are the concern.

Prior to Iceberg, we had a problem with high-frequency small files being sent to Adobe Experience Platform for batch ingestion. We suffered from a textbook…

Jaemi Bremner

Experience Technologist. Developer Advocate for Adobe Experience Platform. Passionate about technology, architecture, fashion, and design. Twitter: @jaeness

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