How I Found (and Fixed) a 14x Cost Bug in Airbyte's S3 Connector
Alex Chen
Engineering Lead at Wozz
We've all heard the "cloud horror stories." A $50,000 AWS bill over a weekend. A $100k charge in 12 hours from a runaway Lambda. These aren't just myths; they're bugs. And they're almost always in the application code.
I've become obsessed with this problem: FinOps tools tell you what you spent, but never why the code spent it.
So I went hunting. I decided to manually audit the codebase of Airbyte, a massive and high-quality open-source data platform, to see if I could find a "cloud cost bug" in the wild.
Then I Found It.
Inside the S3 source connector (source-s3/v4/zip_reader.py), I found a subtle but powerful N+1 bug. The code was trying to find a "signature" (a sequence of bytes) at the end of a ZIP file.
To do this, it was calling get_object inside a while loop, repeatedly asking for a slightly bigger chunk of the same file.
The "Before" Code (The Bug):
# ...
file_size = self.s3_client.head_object(...)
buffer_size = initial_buffer_size
while buffer_size <= max_buffer_size: # This get_object call is inside a loop!
chunk = self._fetch_data_from_s3(filename, file_size - buffer_size)
index = chunk.rfind(signature)
if index != -1:
return chunk[index:]
buffer_size *= 2 # Double the buffer and try again
return None
Why This Is a 14x Cost Multiplier
This while loop could execute up to 14 times to find the signature. That means 14 separate get_object API calls for every single file processed.
10,000 files processed = 140,000 GET requests
Expected behavior = 10,000 GET requests
This is a 14x cost multiplier hidden in a place no "Accountant" dashboard would ever find.
The Fix: One Call, Not Fourteen
The fix is to fetch the entire max-sized chunk once and search for the signature in memory.
The "After" Code (The Fix):
# ...
file_size = self.s3_client.head_object(...)
# Calculate the start byte for the single largest chunk
start_byte = max(0, file_size - max_buffer_size)
# Make ONE call for the whole chunk
chunk = self._fetch_data_from_s3(filename, start_byte)
# Search in memory
index = chunk.rfind(signature)
if index != -1:
return chunk[index:]
return None
This simple refactor reduces 14 API calls to just 1 (plus the head_object), cutting the API cost for this operation by over 90%.
This is Why We Need "Cost-Aware" Linters
This bug is subtle. It's not "wrong," it's just expensive. It's the exact kind of thing that slips past code review and creates a "horror story" bill.
Manually finding this was a pain. That's why I'm building Wozz.
Wozz is a free GitHub Action that automatically scans your PRs for these "cost anti-patterns" and posts a comment before you merge. It's the "Snyk for Cloud Cost."
If you're tired of fearing your cloud bill, you can install our free linter from GitHub.
Or, if you want to see the real-time dollar impact of bugs like this, sign up for the Wozz Pro Beta.