Zuck's bot increased our Vercel bill 10x

When dealing with a sudden and significant increase in your Vercel bill, such as a 10x spike, it's crucial to identify and address the root causes systematically. Here’s how to approach this issue effectively.

Potential Causes:

1. ·

   Increased Traffic/Requests:

   • ·A surge in traffic, particularly from automated sources like bots, can drive up costs. Each request consumes resources that Vercel bills for.
   • ·Meta’s crawler (often identified as facebookexternalhit or Facebot) is particularly notorious for this, as it maps the web for link previews and frequently disregards robots.txt directives.
2. ·

   Resource-Intensive Operations:

   • ·If your application or bot performs heavy computations or accesses large datasets, it can lead to increased CPU and memory usage, thereby escalating costs.
3. ·

   Deployment and Build Growth:

   • ·An increase in the number or size of deployments can consume more build minutes, contributing to higher costs.
4. ·

   Unoptimized Code:

   • ·Inefficient APIs, unoptimized database queries, or memory leaks can lead to unnecessary resource consumption.

Analyzing and Managing Costs:

1. ·

   Monitor Usage:

   • ·Utilize Vercel’s analytics tools to break down usage data and identify which aspects are consuming the most resources.
2. ·

   Set Resource Limits or Alerts:

   • ·Implement limits to prevent uncontrolled usage and set up alerts to notify you when thresholds are approached.
3. ·

   Optimize Your Code:

   • ·Conduct code reviews to ensure efficiency. Optimize API responses and minimize payload sizes to reduce load times and server processing costs.
4. ·

   Review Bot Logic:

   • ·Analyze the bot’s operations. Determine if it needs to poll data constantly or if tasks can be batched together to reduce server requests.
5. ·

   Consider Alternative Architectures:

   • ·Shift some logic client-side if possible. Use serverless functions for light, intermittent tasks to save on server costs.
6. ·

   Plan for Scalability:

   • ·Assess Vercel’s pricing tiers and scalability options to better suit your anticipated use case.

Immediate Mitigation Strategies:

• ·Edge Middleware Blocking:
  • ·Intercept requests at the edge before they trigger expensive serverless functions. Use middleware to block known bad bots.

typescript // middleware.ts import { NextResponse } from 'next/server' import type { NextRequest } from 'next/server'

export function middleware(request: NextRequest) { const userAgent = request.headers.get('user-agent') || '' const badBots = ['facebookexternalhit', 'Facebot', 'ia_archiver']

if (badBots.some(bot => userAgent.includes(bot))) { // Return a cached static response or 403 return new NextResponse('Forbidden', { status: 403 }) }

return NextResponse.next() }

• ·

  Enable Vercel Bot Protection:

  • ·Use Vercel’s Bot Protection feature to challenge suspicious traffic at the edge network level.
• ·

  Force Static Generation for Bots:

  • ·Ensure bots hit static HTML instead of dynamic functions. Pre-render Open Graph images rather than generating them on the fly.

javascript // In your response headers Cache-Control: public, s-maxage=31536000, stale-while-revalidate

Strategic Takeaway:

Serverless architectures are cost-effective for variable human traffic but can become expensive under unregulated machine traffic. Audit your routes to identify dynamic endpoints and convert them to static where possible. Implement rate-limiting and demand accountability from platforms like Vercel when experiencing verified crawler abuse.