S3 Access Denied: AI SRE Agent AURA Finds the Missing Permission

The bucket is right there and the function still cannot read it. AURA reads the failure, names the one missing action, and returns the policy to add.

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A permissions failure gives you the symptom and not the action name. The usual path is reading the error, guessing which actions the execution role is short, and widening the policy until the call goes through.

Greg hands AURA a Lambda function that fails when it tries to reach an S3 bucket. AURA identifies the missing ListBucket permission on that particular bucket and returns the minimum policy needed to allow it.

Greg adds the suggested policy, ListBucket and GetObject, to the role the Lambda function runs as, saves it, and runs the function again. The response comes back with the full file listing and 11 items retrieved.

AURA recommends here and does not act. The policy change is made by hand on the execution role, and nothing in this run gives AURA write access to IAM. Greg also notes that AURA can be configured with multiple agents working as a team, which other videos cover rather than this one.

AURA is built for SREs and cloud engineers who need the exact permission a failing function is missing without widening the role to find out.

For more detail, visit
https://www.mezmo.com/videos/s3-access-denied-ai-sre-agent-debugs-lambda-permissions

0:00 A Lambda that cannot read its S3 bucket

0:21 Handing the failure to AURA

0:49 More complex AWS problems and multi-agent setups

1:38 The finding: a missing ListBucket permission

2:03 Adding the minimum policy to the execution role

2:42 Rerunning the function and confirming 11 files

#AURA #S3 #AISRE