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Markdown SRE Runbook & Incident Postmortem Generator

Build blameless post-incident reviews (PIR), timeline logs, and Root Cause 5 Whys analyses. Ready for GitHub, Notion, and Confluence.

Incident Metadata

Service / Component Name

Severity Level

Incident Lead / Commander

Outage Duration (Minutes)

Incident Title

Executive Summary

Root Cause Analysis (5 Whys Framework)

Timeline of Events (5)

Recovery Measures (3)

Preventative Action Items (3)

Incident Postmortem Markdown (.md)SEV-1 (Critical)

# 🚨 Incident Postmortem: PostgreSQL Connection Pool Exhaustion during Traffic Spike
**Service**: `auth-gateway-cluster` | **Severity**: `SEV-1 (Critical)` | **Duration**: `42 minutes`
**Incident Commander / Lead**: @sarah-sre

---

## Executive Summary

At 14:15 UTC, elevated HTTP 504 Gateway Timeouts began occurring across API authentication endpoints. Automated alerting triggered PagerDuty to the secondary on-call engineer. The primary cause was connection pool saturation triggered by a slow external webhook verification call without client timeout thresholds.

## 🔍 Root Cause Analysis (5 Whys)

1. Why did the API return 504s? Because HTTP worker threads were blocked awaiting available PostgreSQL connections.
2. Why were database connections saturated? Because max_connections (150) was reached and transactions took >12s to release back to the pool.
3. Why did transactions take >12s? Because an inline synchronous call was made to verify third-party license keys.
4. Why was the third-party call so slow? Because the vendor API was experiencing degraded latency.
5. Why did slow vendor latency crash our cluster? Because the HTTP client lacked a strict connection timeout (defaulted to infinite).

## ⏱️ Timeline of Events

| Timestamp (UTC) | Event Log | Impact Observation |
|:---|:---|:---|
| `14:15 UTC` | Automated Prometheus alert fired: AuthGatewayHttp5xxRate > 2% | Users noticed intermittent login errors |
| `14:18 UTC` | Incident Commander paged; incident response Slack channel #inc-2026-auth opened | Investigation initiated |
| `14:27 UTC` | Identified blocked pg_stat_activity transactions held by verifyVendorLicense() | Full authentication outage (100% 504s) |
| `14:38 UTC` | Deployed hotfix config enabling circuit breaker and 500ms timeout on vendor client | Connection pool drained immediately |
| `14:57 UTC` | Error rates dropped back to 0.00%; all synthetic health probes passing green | Full service restored |

## 🛠️ Recovery & Mitigation Measures Taken

- [x] Activated circuit breaker bypass for third-party license verification.
- [x] Restarted idle connection pools on PgBouncer proxy layer.
- [x] Hot-reloaded worker nodes with strict 500ms timeout on all external network sockets.

## 🛡️ Preventative Action Items

| Action Item | Owner | Status |
|:---|:---|:---:|
| Enforce strict 500ms connect/read timeouts across all Axios and Fetch instances | @alex-backend | ✅ **Done** |
| Introduce PgBouncer transaction-mode pooling across all microservices | @db-team | ⏳ *Pending* |
| Add synthetic probe for external vendor latency with automated alerting | @sarah-sre | ⏳ *Pending* |

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Complete Guide & Overview

Markdown SRE Runbook & Incident Postmortem Generator

Generate blameless post-incident reviews (PIR), root cause 5 Whys analysis, timeline event logs, and operational SRE runbooks. Ready for GitHub, Notion, and Confluence.

How to Use the Markdown SRE Runbook & Incident Postmortem Generator

Input Content

Paste or compose your markdown or source data into the input editor.

Customize Settings

Select formatting options, syntax modes, or display options.

Copy or Download

Copy the processed output to your clipboard or download the generated file.

Key Features & Capabilities

Blameless Postmortem Format: Foster psychological safety with standardized, non-punitive incident reviews.

5 Whys Root Cause Engine: Systematically drill down into architectural and process failures to prevent recurrence.

Chronological Incident Timeline: Output Markdown tables documenting alert triggers, triage milestones, and service restoration.

Trackable Action Items: Assign follow-up reliability tickets with owners and status badges.

Frequently Asked Questions

What is the purpose of a blameless postmortem?

A blameless postmortem assumes that engineers act with good intentions based on the information available at the time. Rather than finding a person to blame, it identifies systemic weaknesses in tooling, architecture, and alerting so the entire engineering organization can learn and build more resilient systems.

Can I paste this Markdown into Confluence or GitHub?

Yes! The output is formatted in clean GitHub Flavored Markdown (GFM), including standard Markdown tables and task lists that render natively across GitHub wikis, GitLab, Confluence, and Notion.

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