aws-samples
New pattern submission - Apigw-Lambda-Rekognition
To submit a template to the Serverless Patterns Collection, submit an issue with the following information.
IMPORTANT Patterns are intended to be primarily IaC-focused implementations of 2-4 AWS services, with minimum custom code. They should be commonly used combinations that help developers get started quickly. If you have a utility, demo, or application, submit these to the Serverless Repos Collection instead.
ONLY SUBMIT ONE PATTERN CHANGE PER PR. Multiple patterns or files spanning multiple pattern directories will be automatically rejected.
Patterns may take up to 4-6 weeks to review, test, and merge but there is no SLA and can take significantly longer due to other work the team has.
To learn more about submitting a pattern, read the publishing guidelines page.
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Use the model template located at https://github.com/aws-samples/serverless-patterns/tree/main/_pattern-model to set up a README, template and any associated code.
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THIS PROCESS HAS BEEN SIMPLIFIED. All the information below must be provided in the "example-pattern.json" file cloned from the model **
Note the following information for the model:
- Description (intro.text) should be a 300-500 word explanation of how the pattern works. Using this sample pattern, users can access AWS API Gateway to generate a pre-signed URL through an AWS Lambda function, using which they can upload images to an Amazon S3 bucket. This URL allows secure and temporary access for uploading files directly to S3.
Once an image is uploaded, an S3 event triggers another Lambda function that uses the DetectModerationLabels API to analyze the content. If the image is identified as inappropriate, a notification is sent via Amazon SNS, ensuring automated content moderation and alerting.
- Resources should like to AWS documentation and AWS blogs related to the post (1-5 maximum). https://docs.aws.amazon.com/AmazonS3/latest/userguide/PresignedUrlUploadObject.html https://docs.aws.amazon.com/rekognition/latest/dg/moderation.html https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DetectModerationLabels.html
Framework : Terraform Language : Python 3.12
- Author bio may include a LinkedIn and/or Twitter reference and a 1-sentence bio. Name: Archana V Bio: Cloud Support Engineer at AWS LinkedIn: https://www.linkedin.com/in/archana-venkat-9b80b7184/
You must ensure that the sections of the model README.md are completed in full.
GitHub PR for template:
https://github.com/aws-samples/serverless-patterns/pull/2348
