Feature request: Priming for `powertools-serialization`

[phipag]

Use case

PLEASE READ: Priming documentation: https://github.com/aws-powertools/powertools-lambda-java/blob/main/Priming.md

Parent issue: https://github.com/aws-powertools/powertools-lambda-java/issues/1588 Sample PR: https://github.com/aws-powertools/powertools-lambda-java/pull/1861

Java CRaC can be used to prime an application by implementing beforeCheckpoint() and afterRestore() hooks in selected classes. When used with AWS Snapstart, the beforeCheckpoint() hook runs before the memory snapshot is taken. This behavior can be leveraged to further reduce restore durations by pre-loading classes and calling commonly used code to incorporate this into the memory snapshot.

1. Class-preloading / automatic priming: Based on a statically generated classesloaded.txt file, loads classes used at runtime into memory
2. Invoke priming: Execute commonly used code e.g. to initialize all reflectively access objects, warm up caches, TCP connection pools etc. Common examples include performing "dry" AWS SDK calls (not impacting production resources) or performing JSON serialization/deserialization.

The goal of this issue is to implementing priming techniques for the powertools-serialization module.

Solution/User Experience

Implement priming based on Priming Documentation (feel free to update documentation and suggest improvements):

• [ ] Automatic priming
• [ ] Invoke priming

Alternative solutions

Acknowledgment

• [x] This feature request meets Powertools for AWS Lambda (Java) Tenets
• [ ] Should this be considered in other Powertools for AWS Lambda languages? i.e. Python, TypeScript, and .NET

Future readers

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