Claude went down again on April 15. The service became unavailable during business hours, with users unable to access the API or web interface, and the status page at claudestatus.com slow to reflect the problem.
This follows a familiar pattern. Anthropic's Claude has seen recurring availability issues - typically hitting during peak usage windows and catching teams mid-workflow. Anthropic has been scaling rapidly, and demand appears to routinely push against capacity limits.
The practical response is boring but necessary. Route critical API calls through a fallback model. Keep a backup workflow in a different tool. Don't build single-point-of-failure processes around any AI service - this applies equally to Claude, GPT-4, and everything else running on infrastructure you don't control. The question isn't whether your AI tool will go down. It's whether your workflow survives when it does.
For teams on the API, setting up alerts through claudestatus.com and building retry logic into your integrations is a few hours of work that saves a lot of scrambling later.