How to Overcome Autoscaling Challenges

Kubernetes’ Autoscaler (HPA) and other methods fall short.


The Aspen Mesh Application Intelligence Platform makes it possible for teams to improve app performance with our Predictive Autoscaling.

Learn more and create an Early Access Account now.

Webinar | Solving Autoscaling Problems


  • K8s HPA challenges
  • CPU & Memory not sufficient metrics
  • Open Source custom metrics adapters too difficult
  • Can’t understand relationships between your services
  • Using SLIs and SLOs to automatically scale

Aspen Mesh App Intelligence Platform Demo


  • See health of all services in clusters
  • Dynamic drilldown into issues
  • See upstream and downstream services
  • ML understands what optimal performance looks like
  • Predicts need to scale ahead of demand

Get an Early Access Account


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Use all 360° Performance Insight for App Owners features

  • Track health of apps running on K8s. (Minimal configuration with OpenTelemetry) 
  • App and SRE teams can resolve issues faster without being K8s experts.
  • Dynamically drill down into performance metrics. 
  • Understand relationships between services. Quickly ID source of unexpected behavior.

Automatically scale K8s pods ahead of demand with our Predictive Scaling capability