Technical AWS Help
Given the limitations mentioned, particularly regarding file size, processing time, and the need to handle large and complex JSON payloads via POST requests (e.g., Amazon orders with 2,000+ products), how would you propose scaling an architecture to meet these requirements?
1. **API Gateway Limitation (10 MB)**: Since API Gateway has a payload size limit of 10 MB, what alternative service or strategy would you suggest for handling large JSON payloads (over 50 MB) in POST requests? Would splitting the payload for smaller synchronous requests or using an asynchronous upload approach via S3 be a better solution?
2. **Synchronous vs. Asynchronous Processing**: How would you manage the processing of synchronous requests for smaller payloads versus asynchronous handling of large, complex JSON payloads? Would services like AWS Step Functions, SQS, or EventBridge be appropriate for managing the asynchronous processing of large payloads?
3. **Handling Complex JSON Payload Validation**: How can we validate large JSON payloads before processing, ensuring invalid or malformed data is caught early, especially if using pre-signed URLs for direct S3 uploads? Could initial validation be done synchronously, followed by asynchronous processing through Step Functions or another service?
4. **Lambda Timeout Issue (15 minutes)**: Given Lambda’s 15-minute timeout limitation, how would you handle large payload processing, such as JSON files with 2,000+ products? Would transitioning to a long-running service like AWS Fargate or EKS help in processing these large, complex payloads? What scalable solutions could ensure asynchronous processing without data loss?
5. **Database for Real-Time Analytics**: Since DynamoDB isn’t ideal for quick search or real-time analytics on complex JSON payloads, what alternatives (e.g., Amazon Aurora, Elasticsearch) would you recommend to meet the performance, search, and real-time analytics requirements, especially for handling large datasets asynchronously?
6. **REST CRUD API for Large Payloads**: In the context of a REST-based CRUD API handling large JSON payloads in POST requests, what strategies would you use for managing large file uploads and ensuring scalability? Should large POST requests be handled asynchronously with S3 integration, or would a different approach be more effective to ensure reliable processing of complex data?
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