Time behavior - Degree to which the response times, processing times and throughput rates of a product or system, when performing its functions, meet requirements.

This characteristic is composed of the following subcharacteristics: This pillar represents the performance relative to the resources used under stated conditions. To assess your IoT workload based on the principles described in the Microsoft Azure Well-Architected Framework, complete the IoT workload questionnaires in the Azure Well-Architected Review assessment:Īfter you complete the assessment, this guide helps you address the key performance efficiency recommendations identified for your solution. Scale our IoT Services without, or with minimal, application downtime. The number of devices, the number of messages sent/received and the physical geographical placement of the devices are a few of the factors that define the performance efficiency of an IoT workload.Ī benefit of the cloud is the geographical availability and the capability to scale services to meet the demands. A device, or more specifically an IoT Device, may generally be defined as a computing device that collects and transmits information collected from sensors. IoT workloads span from millions of small devices connected to the cloud to industrial solutions where the devices are a few powerful servers acting as gateways for cloud connectivity. Performance efficiency is the ability of your workload to scale to meet the demands in an efficient manner.

Iot performance probe