Adobe Experience Platform

Authors: Sunish Verma and Jody Arthur 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 Platform's architecture can stand up as the core foundational platform for delivering customer experiences, one that augments all our other channels and products and supports their use at high scale. This blog details a single implementation or customization 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 2019, one of our enterprise customers, a large B2B company, presented Adobe Experience Platform with a set of problems it wanted to solve. Unable to resist a challenge, our pool of enterprise architect

Authors: Dan Popescu and Jenny Medeiros 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. Kubernetes (K8s) has become the industry standard for container orchestration, although it's also notoriously difficult to maintain. As a result, most developers choose one of many available hosted and managed Kubernetes services to streamline their deployment and management processes. For Adobe Experience Platform, we decided to deploy our first Kubernetes cluster with Amazon Elastic Container Service for Kubernetes (Amazon EKS) – a fully managed service that allows us to run Kubernetes on AWS, while also handling the Kubernetes control plane. This makes it easy for us to deploy, manage, and scale containerized applications. In this post, we provide an overview of our thought process when designing a

Authors: Jaemi Bremner (#Jaemi_Bremner), Ivan Mironchuk (#Ivan_Mironchuk), Jody Arthur Take a tour of new features and capabilities of Adobe Experience Platform Launch that will help manage Adobe Experience Platform Mobile SDK to accelerate mobile application development. Giving your users a great mobile experience means constantly evaluating how they are interacting with your app and quickly responding with updates and optimizations. Based on these guiding principles, we built Adobe Experience Platform Mobile SDK from the ground-up to be modular, flexible and dynamic. Managing mobile SDKs through Adobe Experience Platform Launch brings a host of new features and capabilities that enable you to better engage with your users with meaningful personalization. Let’s take a look at some of the top features of the Adobe Experience Platform Mobile SDKs and how managing them with Launch can accelerate your mobile application development. Platforms Support Adobe Experi

Authors: Jaemi Bremner, Avinash Kumar Gupta, Arun Singh, Nishant Sinha, and Jody Arthur This article provides a behind-the-scenes look at how Adobe Experience Platform is using event-driven automation to improve reliability and stability. In today’s world of microservices and loosely coupled software modules, events are often the binding pieces of how the desired functionality is achieved. Software components generate events and corresponding actions on these events define how the components would behave. These events might be the signal generated by users making requests, or base computing components sending in failure indications, or even the applications pointing out the potential issues due to different inputs. Even when developers have access to generated events and know the sequence of actions that are required to be taken to complete a process, they are required to write a significant amount of code to implement them. Not surprisingly, this resource-intensive proc

Authors: Jaemi Bremner (#Jaemi_Bremner), Raman Gupta, Tanuj Gupta, Vardan Gupta, Anand Gupta, and Jodi Arthur An inside look at how Adobe Experience Platform is using Apache Airflow to exponentially scale its workflows for better performance. Check out our prior blog about Apache Airflow here. Many enterprises are challenged with the need to expand their systems to handle more and increasingly complex workflows while delivering expected high availability and performance. For example, the scale is often a limiting factor for companies seeking to capitalize on the benefits of machine learning, for which the predictive models often require large data sets and scale-out capabilities of a cluster to train. At Adobe Experience Platform, our developers continue to explore new ways to achieve high scale with low latency while supporting an ever-growing number of concurrent workflows to ensure the best customer experience. This post will describe how Adobe has accomplished t

Author: Chetan Prasad (#praschetan)We released a major update to our mobile SDKs last fall. The Adobe Experience Platform Mobile SDKs were “made from scratch” for modularity, flexible configuration, and performance to replace the mature-yet-aging version 4 mobile SDKs. You can read more about what the new SDKs offer here. Internally, the SDK development team has ever-maintained a laser focus on quality. “0 bug count”, “performance! performance! performance!”, and “customer issues before roadmap” have been some of our team’s chief catchphrases. Currently, 18,000+ apps for major, global brands rely on our SDK for marketing and product functionality. Increased usage and an ever-changing mar-tech industry landscape have caused us to realize our mounting responsibility to be a consistently stable, secure, and credible presence in your app. While we are constantly iterating on quality, building trust with you, our developer community, is key. The way to continue to engender t

Author: Aditya Sharma First, a little about myself. I am a newbie into the world of Adobe Experience Manager (AEM), and I am blogging about the problems that I faced during my AEM development process. Here are some of the solutions I’ve jotted down along the way, after a lot of digging around and troubleshooting. If you are looking for the official, exact know-how on implementing AEM versioning then I suppose this would be the link to check out. But, in case you are looking for answers to the more practical problems that we see in our day-to-day life with AEM—some of which can be relieved using the versioning mechanism—then read on. Let’s begin our fun ride through a few of the problems that we encounter, and how AEM versioning can remedy those for us. Here’s the first scenario: 1. You are an author working on a page, but you have multiple other authors who are trying to make changes to the same page. At times this makes you lose changes you’ve made. To answer this, we

Authors: Dylan DePass, Ron Nagy, and Jenny Medeiros This article delves into the Adobe@Adobe team’s approach, challenges, and results as we leveraged edge computing and Adobe Experience Platform to deliver the most relevant content to more than 3,000 Tech Summit attendees. We enhanced the developer and technical attendee conference journey by delivering relevant experiences in real-time. Adobe Tech Summit is an internal conference that takes place every two years and draws thousands of engineers, researchers, designers, and developers from around the globe. It’s an opportunity for Adobe members to attend talks, workshops, and celebrate their latest achievements. At Tech Summit 2019, Adobe@Adobe — an internal innovation team — was tasked with demonstrating the potential of Adobe Experience Platform as a powerful technology for delivering real-time personalization at scale. To achieve this, the team created a set of experiences that engaged the attendees with useful content based on the

Authors: Ben Mills (#thebmills) We’re excited to announce the release of version 1.0 of the Reactor API, the primary underlying systems that power Adobe Experience Platform Launch. Launch is the client-side technology management system for Adobe Experience Platform. It powers web tag management and mobile SDK configuration, enabling customers to connect multiple technologies and turn data into action. Head over to https://developer.adobelaunch.com/api/ to get started on learning how to integrate with the Reactor API. We’d like to also give a special thanks to all those who have helped shape the API experience with their diligent testing efforts and feedback. What to know Features Version 1.0 of the Reactor API is fluid. We’ll continue to introduce new features as they’re completed, without breaking existing behaviors and data structures. If and when there are breaking changes, they’ll be targeted for a new API version. Features that are compatible with 1.0, but have not

Authors: Dave McNamee (#dmcnamee), Anil Malkani, and Jody Arthur Adobe Experience Platform Query Service was released in June 2019. The following blog post describes our architectural approach and provides examples. Every day, enterprises continue to amass terabytes of customer data in their data lake and data warehouses. Despite the promise these data stores hold for improving customer experiences, enterprises struggle with accessing and analyzing their data across a heterogeneous data landscape in a unified way. Adobe is a leader in helping enterprises use their data to build compelling and personalized experiences and continues to create new ways to empower its customers through Adobe Experience Platform. Query Service is a SQL-based query engine with built-in analytical capabilities and serves as a foundation component for many of Adobe’s internal applications. In June 2019, Adobe made this powerful tool available for our customers. We originally developed Query Service t

Authors: Aaron Hardy, Joe Khoury, Justin Grover, and Jenny Medeiros This post is how Adobe Experience Platform and Adobe Experience Cloud are simplifying your implementation with an all-in-one JS library, Adobe Experience Platform Web SDK. Currently, Adobe Experience Platform customers need to implement multiple JavaScript libraries on their website to interact with services within Adobe Experience Cloud. Each library has its own documentation and must be implemented individually, resulting in a complex workflow. In keeping with Adobe's mission to push our customers forward with innovative tools and services, Adobe Experience Platform Web SDK is a unified solution designed to greatly simplify our customer's implementation efforts. It provides a single endpoint to streamline HTTP requests to Adobe solutions, empowering Adobe Experience Platform customers with a higher-performing website and improved visibility over their workflow. This post gives an overview of Adobe Experience Platfor

Hi there, following the documentation for setting up a source connector with flow api for azure as outlined here https://experienceleague.adobe.com/docs/experience-platform/sources/api-tutorials/create/cloud-storage/adls-gen2.html?lang=enthe post returns a 400 bad request error stating the spec id is invalid, like this: {    "errorMessage": "Please provide a valid spec id",    "errorDetails": "Please provide a valid spec id"} is there an error in the documentation or what is going on? for reference, this is the part specifying the connection specification in the payload "connectionSpec": {            "id": "0ed90a81-07f4-4586-8190-b40eccef1c5a",            "version": "1.0"        } 

I wanted to understand how can I get video tracking milestones under my following conditions:video URL mentioned in an anchor tag<a src="some vodeo url"><a/>After playing the video, it generates an Iframe next to the anchor tag. Under the Iframe, I can see #document, html code and video tag inside the body tag.<a src="some vodeo url"></a><iframe src="some vodeo url">#document<HTML><BODY><video src="some vodeo url" media></video></body></html></iframe>But I am not able to access video tag in DTM or browser console unless i go to browser elements(inspect elements) and expand Iframe until the 'video' tag is visible.Also, if I try to edit the iframe (without expanding the iframe in inspect elements) , i am not able to see #document and further inline HTML code.please, provide a solution how can i track this "non-youtube video" without affecting the iframe.

Use this thread to ask any questions related to the course "Model Your Customer Experience Data with XDM" on Experience League. Experts are monitoring this thread to ensure your questions are answered.

Use this thread to ask any questions related to the Getting Started with Adobe Experience Platform for Data Engineers course on Experience League. Experts are monitoring this thread to ensure your questions are answered.

Use this thread to ask any questions related to the course, Getting started with Real-time Customer Data Platform, B2B Edition on Experience League. Experts are monitoring this thread to ensure your questions are answered.

I am following a similar post: https://experienceleaguecommunities.adobe.com/t5/adobe-experience-platform-launch/seeing-which-rules-a-data-element-is-used-on/td-p/380546, but it won't allow me to add a reply. One option provided there was to download the library to view details in excel. Can someone point me in the right direction on how to do this? Everything I am finding is outdated and regards DTM:https://experienceleaguecommunities.adobe.com/t5/dynamic-tag-management-questions/tag-export/m-p/196102#M1944  @pratheeparunraj @jantzen_b 

Hi,Is there any options to send event data(ie: click data) to external CDP system. For eg: i fire a rule based on click action in the website then Event based rule executes and sends the data to Adobe analytics. I'm looking to send the same event data(when the same rules fires) to the external CDP system. I believe, there is an option to achieve this if we go with Adobe Launch server side but looking option to do it through client side itself.  

Authors: Yeshwanth Vijayakumar, Vineet Sharma, and Sandeep Nawathe In Part 1, we went over how we applied some Spark optimizations to our Structured Streaming Workloads. In Part 2, this blog details how we optimized our Interactive Query Evaluation workloads on top of Apache Spark. This blog post is adapted from this Spark Summit 2020 Talk. Architecture Overview Just as a reference from the previous blog to set the context. Here again is the relationship between Adobe Experience Platform Real-time Customer Profile and other services within Adobe Experience Platform is highlighted in the following diagram: Our Requirements Adobe Experience Platform assimilates data from various channels and makes this data actionable for targeting and marketing experiences. Our customers needed to express their segments as rules to the platform and it takes care of executing these complex rules in a high performant fashion. Therefore, our requirements were at a high level: Build an interactive segment

Authors: Anshuman Nangia, Anand Phatak, Nipun Nair, and Douglas Paton This blog post continues our look at how Pipeline powers the Adobe Experience Platform. We break down the components and look at how Pipeline is being used for data processing in-flight. Our team thinks of Adobe Experience Platform Pipeline, a Kafka-based message bus, as a “data power grid” for Adobe. It is a critical piece of our infrastructure, which runs across 14 clusters covering AWS, Azure, and our private data centers. Going back about five years, most of the communication between services at Adobe was point-to-point. Unsurprisingly, this pattern became untenable very quickly as teams started to break down existing monolithic systems and the number of services started to grow. Configuration management burdens grew exponentially and became unmanageable to the point where “integration” horror stories became commonplace. Adobe Experience Platform Pipeline project started with the goal of making it easier to integ

Authors: Miao Wang, Jun Ma, and Jenny Medeiros This post describes our approach to addressing the challenges of cost and scale in scanning for GDPR compliance in Adobe Experience Platform. In today’s data-driven economy, user data is an increasingly valuable asset. Although as companies collect increasingly more personal information, users have rightfully raised the question of how to manage their data privacy. In response, the European Union instituted the General Data Protection Regulation (GDPR), which aims to give EU individuals control over their personal data. This has prompted other nations to strengthen their own data privacy laws, such as the upcoming California Consumer Privacy Act (CCPA). Under these protections, users have the right to request a copy of their data collected by a company or have it erased. To ensure Adobe Experience Platform customers meet data privacy regulations, we developed Adobe Experience Platform Privacy Service, which automates applications to provi

Authors: Constantin Muraru and Jody Arthur This post provides code examples of how Adobe Experience Platform uses helmfile in Kubernetes to streamline the installation and management of infrastructure applications needed to support large-scale deployment of applications. Kubernetes is one of the most widely used and popular open-source container management systems among data-driven enterprises today. At Adobe, we use Kubernetes for a wide range of tasks that power Adobe Experience Platform. To meet the needs of our internal use cases, we build Kubernetes clusters and make them available to our internal customers for the deployment of their applications. One example is Adobe Experience Platform Pipeline, which uses Kafka to provide a single enterprise-level message bus for transferring data between different applications within Adobe Experience Platform. Pipeline operates through a simple web service on top of the Kafka service and is deployed using Kubernetes. Due to the huge volumes o

Authors: Raman Gupta, Anand Gupta, Piyush Dewnani, Richard Ding, and Jody Arthur Learn how Adobe Experience Platform is leveraging Apache Airflow support for Kubernetes to achieve high scale. This article builds on our previous work to build an orchestration service to enable users to author, schedule and monitor complex hierarchical jobs using Apache Airflow for Adobe Experience Platform. You can get additional insights on how Adobe Experience Platform is using Apache Airflow to exponentially scale its workflows for better performance here. 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. With the 1.10.1 release, Apache Airflow added support for Kubernetes (K8S) Executor. Now, with K8S Executor, a new K8S pod is created for each instance of a workflow task, resulting in one-to-one mapping between the worker pod and its corresponding task.

Authors: @danny-miller , Shrutivj, Jenny Medeiros,  This post describes how we approached the challenge of obtaining deltas from audience segments so that Adobe Experience Platform clients can export the users they need when they need them. This blog details a single implementation or customization on Adobe Experience Platform. Not all aspects are guaranteed as general availability. If you need professional guidance on how to proceed, then please reach out to Adobe Consulting Services on this topic. Adobe Experience Platform allows clients to easily segment user profiles into specific, attribute-based audiences using their Real-Time Customer Profile data. Through segmentation, clients can distinguish marketable customers and effectively tailor their marketing strategies, such as email campaigns. Recently, an Adobe Experience Platform client requested the ability to create a single segment that could be reused for both the initial population as well as changes to that populat

Author: @danny-miller , Shrutivj, and Douglas Paton In this post, we look at data science for XDM and make it scale. We look at how we build tens and hundreds of models and activate it for Adobe Experience Platform. And we look at how data science is manifested at Adobe and basics around operationalizing. This blog details a single implementation or customization on Adobe Experience Platform. Not all aspects are guaranteed as general availability. If you need professional guidance on how to proceed, then please reach out to Adobe Consulting Services on this topic. When it comes to data science models, our focus tends to be on building all these amazing models. But what about operationalizing or activating them with the Adobe Experience Platform. We look at the output, which eventually turns into a score or classification that can be assigned to a person. We look at things like if a person is likely to buy or churn. This, may in turn or in parallel, feed into whether a person is c