AWS Troubleshooting: A Simple Step-by-Step Approach When Your Application Stops Working
One of the most useful skills in cloud computing is not just knowing how to create resources, but knowing what to do when something stops working. When an application is down, beginners often start changing random settings. This can make the problem harder to understand.
1. Start with the symptom
First, clearly identify what is actually failing.
Ask:
- Is the website completely unreachable?
- Is the application slow?
- Is only one feature failing?
- Is the application returning an error?
- Did the problem start after a recent change?
Don't change anything until you understand the problem.
2. Check the resource status
Start with the basic things.
Check whether the required AWS resources are running and healthy.
For example:
User → Network → Application → Database
Find out which part of this path is failing.
This simple approach can prevent you from troubleshooting the wrong component.
3. Check network connectivity
If a user cannot reach an application, check the network path.
Think about:
- Is the resource reachable?
- Are the required ports allowed?
- Are the security rules correct?
- Is the route configured correctly?
- Is the resource supposed to be public or private?
Don't immediately assume that the application itself is broken.
Sometimes the application is running perfectly, but traffic cannot reach it.
4. Check logs
Logs are one of your best troubleshooting tools.
Instead of guessing what happened, look for evidence.
Check for:
- Error messages
- Failed requests
- Authentication errors
- Connection failures
- Application crashes
- Recent changes
A useful habit is:
Don't guess → Check the logs → Find evidence → Fix the cause.
5. Check the application itself
If networking looks correct, investigate the application.
Ask:
- Is the application process running?
- Is it listening on the expected port?
- Can it connect to required dependencies?
- Are environment variables correct?
- Did a recent deployment introduce an issue?
Testing the application locally on the server can help determine whether the problem is with the application or with the network.
6. Check dependencies
Modern applications rarely work alone.
An application may depend on:
- A database
- Storage
- APIs
- Queues
- Authentication systems
- Other services
If one dependency is unavailable, the application may appear broken even though the application itself is running.
Follow the request path and check each dependency.
7. Think about recent changes
A very useful troubleshooting question is:
"What changed recently?"
Maybe there was:
- A new deployment
- A configuration change
- A permission change
- A network change
- A new security rule
- A scaling event
If everything worked yesterday and stopped after a change today, that change is an important clue.
8. Change one thing at a time
When troubleshooting, avoid changing multiple settings at once.
If you change five things and the application starts working, you still don't know which change fixed the problem.
Instead:
Observe → Hypothesize → Change one thing → Test → Confirm
This makes troubleshooting much easier to understand and repeat.
9. Don't forget cost and cleanup
During troubleshooting, you may temporarily create additional resources or enable extra monitoring.
Remember to review what you created after the issue is resolved.
Clean up resources that are no longer required.
A simple troubleshooting flow
When an AWS application stops working, remember this:
1. Identify the symptom
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2. Check resource health
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3. Check connectivity
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4. Check logs
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5. Check the application
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6. Check dependencies
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7. Review recent changes
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8. Test one change at a time
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2. Check resource health
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3. Check connectivity
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4. Check logs
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5. Check the application
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6. Check dependencies
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7. Review recent changes
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8. Test one change at a time
Final thought
You don't need to memorize hundreds of AWS troubleshooting commands.
The most important skill is learning how to think systematically.
When something breaks, don't panic and don't randomly change settings.
Start from the user-facing problem, follow the request path, collect evidence, and narrow the problem down one step at a time.
Good troubleshooting is not about guessing the answer quickly. It's about finding the evidence that leads you to the answer.
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