The Adobe Experience Platform is a platform-as-a-service (PaaS) serving as the foundation of the Adobe Experience Cloud, and is provided as a customer experience management platform with real-time customer profiles, continuous intelligence, and an open and extensible architecture that enables delivering personalized experiences at scale.
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AWS Lambda
Score 8.6 out of 10
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AWS Lambda is a serverless computing platform that lets users run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes of requirements to run and scale code with high availability.
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Pricing
Adobe Experience Platform
AWS Lambda
Editions & Modules
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128 MB
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1024 MB
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10240 MB
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Offerings
Pricing Offerings
Adobe Experience Platform
AWS Lambda
Free Trial
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Free/Freemium Version
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Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
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Community Pulse
Adobe Experience Platform
AWS Lambda
Features
Adobe Experience Platform
AWS Lambda
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
I think AEP is ahead of its competitors when it comes to hosting customer data for various use cases. It’s seamless integration with other Adobe products like AJO or CJA make it a very compelling overall package.
It may not be very applicable for smaller or medium sized businesses. There could be an opportunity for Adobe to bring in a trimmed down version for such customers.
Scenarios where AWS Lambda is well suited: 1. When we need to run a periodic task few times in a day or every hour, we may deploy it on AWS Lambda so it would not increase load on our server which is handling client requests and at the same time we don't have to pay for AWS Lambda when it is not running. So, overall we only pay for few function invocations. 2. When some compute intensive processing is to be done but the number of requests per unit of time fluctuates. For example, we had deployed an AWS Lambda for processing images into different sizes and storing them on AWS S3 once user uploads them. Now, this is something that may happen few times every hour on a particular day or may not happen even once on other days. To handle this kind of tasks AWS Lambda is a better choice as we don't have to pay for the idle time of the server and also we don't have to worry about scaling when the load is high. Scenarios where AWS Lambda is not appropriate to use: 1. When we expect a large request volume continuously on the server. 2. When we don't want latency even in case of concurrent requests.
AWS Lambda is a welcoming platform, supporting several languages, including Java, Go, PowerShell, Node.js, C#, Python, and Ruby. And if you need to deploy a Lambda function in another language, AWS offers a Runtime API for integration.
We really appreciate how AWS Lambda is always-on for our functions, with only a brief "cold-start" waiting period the first time a function is called after being dormant.
In addition to only generating costs when it's actually being used, AWS Lambda really puts the "serverless" in serverless architecture, offering turnkey scaleability and high availability for our code with zero effort on our part.
The UI and Developer experience is not so great. IF you use an abstraction like Serverless Application Model (SAM), things get pretty easy, but it's still AWS UI/DX you're working with after that (which is to say, not their strength).
Documentation is always a mixed bag. Sometimes it's just easier to google your specific problem and see how others have solved it. This can be much faster than trying to find an example that may or may not be there in the documentation (which oftentimes has multiple versions and revisions).
AEP works very well with the entire Adobe suite of products and services making it a must-have product from a marketing standpoint. The fact that you are able to understand the customer and have a better impact with the customer journey is really helpful. We have also used AEP data to cross sell products to our customers through email campaigns/ offers m/ advertising etc but to have all this data stored in a single place makes it very convenient.
It is very easy to get started with AWS Lambda and create your first function. The user interface makes it easy to add AWS services to be inputs or outputs to the function, meaning it can be configured in many different ways for different needs. This makes it ideal for various scenarios in AWS.
Adobe has support at all levels and for each product but beyond tool questions you'll often be told they can help but it requires some paid consulting hours. So you either hire Adobe consultants or find 3rd part consultants who know their products well.
As this is a product where a great part of errors can be at the source code level, AWS support team doesn't dive that further. I mean they don't evaluate problems more complex related to your code, [which] is totally understandable, but this make[s] debug process more tough and painful.
In most cases we have found Adobe products to be harder to use but offer a lot more capabilities. In some cases Adobe products are missing key, basic functions. Adobe does offer a more holistic toolset rather than buying pieces of the puzzle and having to integrate on your own but that results in paying for a higher price tag.
It's fine, it works as the others would have, except EC2. We are migrating back to EC2 for dedicated compute because we have scaled to a point where we have consistent traffic. The tradeoff of maintaining infrastructure in-house outweighs the benefits of moving quickly through our roadmap.
We have simplified log fiie ingestion using Lambda functions. The return has been less time worrying about getting logs from source to ingestion; one the process is in place the team is nearly 100% hands off.
We have begun taking a more API focused approach by using API Gateway as the interface to business processes and Lambda as the back end compute. Moving away from server based back ends places us on a path to reducing overall spend in compute costs.
Lambda functions allow us to easily interface with third party services through APIs. This simplifies access management since the function can be granted permissions and access to the function can be gated with API keys and other authentication methods.
