Tech
From 100% CPU to 68%: How We Saved 1M Database Updates from Crashing
"Handling 1M database updates triggered by a dashboard button. We decoupled PHP's synchronous timeout using RabbitMQ and a batch-processing Go worker. Plus: How to make it adaptive next time."
Async Processing for Dashboard Clicks: Batch Updates in Go
The Context
A legacy PHP application served as the backend for a marketing dashboard. Business users would select a large segment of customers and click a button (e.g., "Send Campaign" or "Mark as Processed").
The O...
Read the full discussion on Dev.to
This article was aggregated from Dev.to. Click to join the conversation.
View on Dev.to