Cloud Connectors

Extensions

Cloud auto-scaling decisions are often made based on infrastructure metrics such as CPU Utilization. However, in a cloud or virtualized environment, infrastructure metrics may not be reliable enough for making auto-scaling decisions. Auto-scaling decisions based on application metrics, such as request-queue depth or requests per minute, are much more useful since the application is intimately familiar with conditions such as:

  • When the existing number of compute instances cannot handle the incoming arrival rate of traffic and must elastically scale up additional instances based on a high-watermark threshold on a given application metric

  • When it’s time to scale back down based on a low-watermark threshold on the same application metric.

Integrate cloud orchestration functionality such as creating, destroying, restarting, configuring and validating machine and image instances.
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