Stop 3AM Production Incidents: The Runbook System That Works

0:00 Introduction - The 3 AM Incident Problem
1:50 What is a Runbook?
2:44 Why Runbooks Matter
5:52 What Makes a Bad Runbook?
9:29 Runbook Maturity Model
9:41 - Level 1: Wiki Pages
10:03 - Level 2: Schema-Based Runbooks
10:32 - Level 3: Automated & Tested Runbooks
11:03 - Level 4: AI-Assisted Execution
11:38 - Level 5: Self-Healing Systems
12:19 Live Demo - Runbook Examples
12:19 - Project Setup (Java + Spring + PostgreSQL)
13:50 - Demo 1: Wiki-style runbook
16:12 - Demo 2: Schema-based runbook with automation
18:10 - Demo 3: Validated runbooks with CI/CD
19:19 - Demo 4: AI-assisted runbooks
20:05 Key Runbook Best Practices
22:28 How to Elevate Your Runbooks
26:42 Key Takeaways
29:33 Q&A - Real Production Examples
33:39 Q&A - AI in Runbook Creation
35:50 Q&A - Organization-Specific Considerations

Diana Nanuti and Leena Moonaeram, show how good runbooks solve your problems


Downtime costs money. Slow incident resolution loses customers. Inefficient teams burn budget.
Good runbooks solve all three:

Reduce MTTR = less revenue loss during incidents
Enable junior devs to handle production = lower dependency on expensive seniors
Faster onboarding = new hires productive in days, not months
Happy customers = they stay and pay

Lena Munaram and Diana Nuti from Chainalysis show the 5-level maturity model that transforms runbooks from useless wiki pages to automated, AI-assisted systems.
Includes live demos showing real cost savings and efficiency gains.
For: CTOs, Engineering Managers, DevOps/SRE teams who want to scale without burning out or hiring more people.