AEM Production Troubleshooting
Learn a practical way to diagnose publishing failures, blank components, dialog issues, cache problems, GraphQL issues, and deployment drift in AEM.
Last reviewed: June 2026
🔍 What Is It?
This topic focuses on common production issue families:
- →page not publishing
- →component not rendering
- →dialog not saving
- →client libraries not loading
- →dispatcher cache serving stale output
- →permission failures
- →workflow backlog
- →query performance issues
- →GraphQL and fragment delivery issues
- →OSGi config and deployment drift
🎯 Why Do We Need It?
AEM incidents are multi-layered. Guessing wastes release windows. Teams need a repeatable mental model so they can narrow root causes quickly and communicate clearly with content, platform, and business stakeholders.
🏗️ What Happens in Real Projects?
During a live incident, a senior AEM developer may check whether content actually published, inspect referenced fragment state, compare headers to prove cache source, verify bundle and config state on Publish, and review whether the failing path is code, content, or environment drift.
⚙️ How It Works
Troubleshooting sequence:
- Reproduce and classify the symptom
- Identify whether the issue is authoring, publish, cache, config, integration, or frontend
- Gather direct evidence from logs, headers, content state, and environment comparison
- Fix the narrowest proven cause
- Capture the operational lesson so the incident is easier next time
💻 Example
Incident flow — A quick model for high-signal diagnosis under pressure.
🤔 Common Confusions
❓ If content looks wrong, is it always a publishing problem?
No. It could be cache staleness, missing dependencies, environment mismatch, config drift, or frontend/clientlib issues.
❓ Should we clear all cache immediately during incidents?
Usually no. Broad cache clears can add risk and hide the real failing layer.
🚨 Common Production Issues
A component works on Author but fails on Publish because of missing service config or permission differences.
GraphQL responses are correct in lower environments but stale or broken in production because persisted query deployment and cache behavior drifted.
Dialog changes save but do not appear because clientlibs, models, or policy assumptions are out of sync.
✅ Best Practices
Prove the failing layer before taking action.
Use targeted fixes and targeted cache invalidation where possible.
Turn repeated incident patterns into runbooks and release checks.
🏛️ Architect's Note
Production troubleshooting is where platform design quality becomes visible. If teams cannot quickly separate content, config, cache, and integration failures, the problem is rarely just training. It is usually missing observability and weak operating discipline.
💬 Frequently Asked Questions
🎯 Key Takeaways
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↗ Where this topic fits
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