Prioritize Critical Findings in a High-Load Batch Processor Review

You are reviewing a substantial Python merge request. It removes a synchronous per-request processing path and introduces a batched worker that consumes 40 requests at a time, while the older synchronous path remains available in the codebase. The service has been failing under heavy traffic. After investigating, you have confirmed two findings:

• If construction of the batched worker fails, the new factory returns None rather than falling back to the still-available synchronous implementation.
• The merge request description states that one batched instance handles 6,000 requests per second, but the repository's own documentation says the peak load is 8,000 requests per second per instance.

Review these two findings. For each one, assign a severity, describe the likely production impact, list the evidence you would need to validate it, and propose narrowly scoped fixes and tests. Because the merge request is too large to inspect every line manually, also explain how you would use an AI review assistant without accepting its suggestions blindly.

Constraints:

• The application is written in Python.
• The proposed batched worker processes up to 40 requests per batch.
• The repository documents a per-instance peak load of 8,000 requests per second.
• The merge request claims a per-instance throughput of 6,000 requests per second.
• The older synchronous implementation is still present in the codebase.
• Both findings above have already been confirmed by your review.

Datadog Software Engineer

Examples

Example

Input: 8000 6000 40 4 10000
Output:
2000
24000
32000
8000
2
2
6666
1