Let Claude triage AWS incidents in read-only mode
A startup engineer had Claude inspect cloud systems, logs, and database data without write access, then compile a findings report.
- What they did
- The engineer handles application code, deployment, data, cloud infrastructure, and networking, so they handed first-pass incident work to Claude. They gave it read-only access to AWS, log data, and the database, then had it use the AWS CLI to search for clues instead of manually combing through everything themselves. Claude pulled together a detailed report that could be shared with the rest of the team.
- How it went
- The engineer says this approach resolves problems about 10x faster than they can on their own. Claude can still invent details, though, so its report needs verification before anyone treats it as reliable.
- Tips
- Read-only permissions reduce risk, but they do not prevent bad conclusions. Ask for sources on every claim and verify anything you plan to pass along.
Try it yourself with Claude
Please investigate this issue using only read-only access to [AWS environment], [log location], and [database]. The symptom is: [describe what is happening and when it started]. Use the AWS CLI and any other non-destructive checks you need, but do not edit, delete, create, or submit anything. For each conclusion, include the supporting evidence such as log entries, query results, or resource IDs, and clearly mark any uncertain point as a hypothesis. Before any action that would alter data, send a message asking for my approval and stop until I respond.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
Get 3 agent uses like this every morning
With the day's top AI news. Free, and one click to unsubscribe.
Related agent uses
Use Claude to draft a kernel fix and review it for races
Linus Torvalds had Claude produce a Linux memory-management fix, tests, docs, and review, while he handled benchmarking.
Build new agent features inside a guarded Docker sandbox
A Claude-based agent updated its own code in Docker, with every edit checked, committed, or undone automatically.
Keep coding in batches while Claude works ahead
They paired ongoing app testing with Claude-generated edits, moving from one round of fixes to the next without waiting around.
Use parallel agents to build a compiler
Coordinate many coding agents in containers and back them with tests and an oracle while they work on one compiler repo.
Use Claude as an async coding partner
They paired with Claude and Jules while coding locally, then copied changes back and forth instead of sharing a live editor.
Use Copilot to scaffold a full-stack app
They let GitHub Copilot start a new full-stack app, then kept fixing setup issues until the React interface was styled and usable.