Apache Kafka Tutorial 0/111 lessons ~6 min read Lesson 96
Production Incident Analysis
What is Production Incident Analysis?
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Focus
8 guided sections
Practice signal
Examples included
Career prep
Foundation builder
Introduction
What is Production Incident Analysis? Lag, URP, poison messages, offset decisions under pressure.
Understanding the topic
What happens — Production Incident Analysis:
- Lag, URP, poison messages, offset decisions under pressure
- Lag, URP, poison messages, offset decisions under pressure.
- Govern schemas and ownership.
- Measure lag, cost, and SLOs.
| Term | Description |
|---|---|
| Production | Lag, URP, poison messages, offset decisions under pressure |
| Ownership | Team responsible for topic SLO. |
| SLO | Lag, availability, durability targets. |
| Runbook | Steps for common incidents. |
Visual explanation
Pipeline view:
text
Alert → partition lag? → deploy/schema? → DLT or rollback
Step-by-step explanation
- Assess — Current pain and requirements.
- Design — Architecture and contracts.
- Implement — Platform guardrails.
- Operate — Monitor and iterate.
Execution workflow
1Production Incident Analysis workflow
1 / 4Assess
Current pain and requirements.
Best practices
- Runbooks on dashboards.
- Quarterly game days.
Common mistakes
- Offset reset without approval.
- Deleting topics to fix lag.
Summary
Production Incident Analysis — Stabilize → diagnose by partition → DLT/skip/scale → postmortem.
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