Anthropic’s Claude Outage Explained | Rate Limiting, Autoscaling & Load Shedding
Anthropic’s Claude went down twice within 24 hours after a massive traffic surge. But the AI model itself didn’t fail. The real problem happened at the system’s front door.
In this video we break down what likely happened and explore three critical system design concepts that protect large-scale systems from traffic spikes:
• Rate Limiting
• Autoscaling
• Load Shedding
Using the Claude outage as a case study, you’ll see how modern systems defend themselves against cascading failures and traffic death spirals.
Resources:
- ByteMonk Blog: https://blog.bytemonk.io/
- System Design Course: htt…
Watch on YouTube ↗
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Chapters (12)
Claude went down twice in 24 hours
0:54
What actually happened during the outage
1:40
The real bottleneck: authentication and routing layer
2:28
The traffic surge death spiral explained
3:16
Layer 1: Autoscaling and why it was too slow
4:43
Layer 2: Load shedding to protect the system
6:16
Layer 3: Rate limiting to control the surge
7:19
How these three layers work together
8:16
monday.com (sponsored)
9:32
The bigger lesson: AI vendor lock-in risk
9:55
Multi-model architecture and fallback strategy
11:30
Key system design takeaways
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