Deezer's engineering team tackled scaling challenges by moving beyond default Kubernetes metrics, employing Event Loop Utilization (ELU) for more accurate autoscaling of their applications.
The custom Event Loop Utilization metric proved more indicative of server load than CPU percentage, facilitating more precise scaling decisions during high-demand scenarios.
By integrating Prometheus and the Prometheus Adapter with Horizontal Pod Autoscalers, Deezer successfully enhanced its application's scalability in a Kubernetes environment.
Deezer's blog post includes configuration examples, providing the technical community with valuable insights into their sophisticated autoscaling setup based on application-specific metrics.
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