Scavio for Cloudflare Postmortem Analysis

The Problem

In 2026 a 3-day Cloudflare block took down thousands of sites and incident retros had to be assembled from scattered status pages, HN threads, and rumor. Engineering leaders want a repeatable postmortem collection pipeline so the next incident has a shared factual baseline within hours.

How Scavio Helps

• Auto-collects status page snapshots, HN, Reddit, and news
• Timeline reconstruction ready for exec briefings
• Blast-radius estimate via cross-source mention counting
• Reusable pipeline across any vendor incident
• Exportable to Notion, Linear, or Jira as an incident ticket

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "cloudflare outage november 2026 postmortem":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for SREs, incident commanders, engineering leaders, infrastructure teams

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your cloudflare postmortem analysis solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.