Automatically instrument profiling for Node and Python when Sentry is set up via the Lambda Layer

### Problem Statement

Currently the [Lambda Layer setup instructions for serverless functions](https://docs.sentry.io/platforms/python/integrations/aws-lambda/manual-layer/#configuration-options) suggest that errors and performance is automatically enabled:

> You can configure Sentry by setting these environment variables for your Lambda function:
> `SENTRY_INITIAL_HANDLER`: The handler function of your AWS Lambda funtion.
> `SENTRY_DSN`: This is set to the [DSN](https://docs.sentry.io/product/sentry-basics/concepts/dsn-explainer/) of your project
> `SENTRY_TRACES_SAMPLE_RATE`: This sets the [sampling rate](https://docs.sentry.io/platforms/python/configuration/sampling/#sampling-transaction-events) for transactions.

(I assume this applies to both Node and Python. [The Node lambda layer docs](https://docs.sentry.io/platforms/javascript/guides/aws-lambda/layer/) are not explicit about what you get out of the box)

Beyond the above, though, it seems profiling has to be manually set up [for Node lambdas](https://docs.sentry.io/platforms/javascript/guides/aws-lambda/profiling/#enabling-profiling) and I believe also [for Python lambdas](https://docs.sentry.io/platforms/python/profiling/). This manual step can be difficult when a customer has, say 1000 lambdas and doesn't want to instrument them all with profiling individually.

### Solution Brainstorm

Add a configuration option for Node and Python profiling in the lambda layer.

### Product Area

Profiling

從 Lambda Layer 設定說明以及連結的 Node 和 Python profiling 文件開始。追蹤目前如何為每個 runtime 啟用 profiling，並定義 layer 設定的入口點；當一個有文件說明的設定選項能夠在不需要個別 instrumentation 的情況下，為 Node 和 Python Lambda 函式啟用 profiling 時，即表示完成。

由索引模型根據 Issue 內容生成。