Since releasing the new architecture, we’ve provided a consistent average turnaround time of 10 seconds per image and scaled efficiently with zero downtime. POST /image to upload the image, GET /image//enhanced, to view the enhanced image. Previously our endpoints were POST /upload, POST /status and POST /get image, which relates to the user’s actions. With our new architecture in place, we’ve started to make our endpoints more intuitive.
We overcame this by providing users with a signed S3 endpoint for uploading pictures. However, some drawbacks include uploading images to serverless, limited to the maximum storage size of 6MB payload. Additionally, we wanted to move away from ECS (elastic container service) to something even more scalable - serverless. We required smaller CPU instances that could be provisioned at peak usage (afternoons) and scaled-down during low use (at night). We used Sagemaker (a platform as a service) for our AI endpoints, but running on GPUs didn’t give us the scalability we needed to make our AI reactionary to API usage. This visibility allows us to lock the whole system down and monitor individual users to ensure we provide the right AI resources. AWS is our cloud provider, which has an excellent platform called API gateway to provision API keys for clients and maps pricing plans. He immediately called the team and said, “ We’re going to engineer a new Autoenhance.ai API”. First, I gave him a walkthrough of our API and straight away, he called me out, saying that the API isn’t simple. In March, James Campbell joined Autoenhance.ai as CTO. It required a 30-minute walk-through to understand it. Initially, we gave our users access to this API, but there were many flaws, such as security, and the layout of the API was not intuitive. We’d built a successful internal API, but it wasn’t a RESTful API by definition. We then had to ask ourselves: “Why don't we have an API?” We had many conversations with potential clients in those early stages, and “Do you have an API?” was the question many people asked. We didn’t want to add to their list instead, we tried to integrate Autoenhance.ai into existing services utilised by our users. Our users interact with multiple services and websites every day. When we started our photo editing service - Autoenhance.ai - we considered that our web app was the best way for users to enhance their images and receive an instant AI enhancement.
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