Overview

Identify sites and mobile computers with high levels of RAM usage exceeding thresholds. Any device’s memory that is utilized more than 90% in a given hour is considered a high RAM event. Tolerances for impacted devices include:

  • Normal: less than 15% of devices impacted on the site
  • Warning: 15% - 24% of devices impacted on the site
  • Critical: 25% and above devices impacted on the site
Physical Memory (RAM) Utilization in Action
  • Select date ranges to track sites and devices impacted by RAM utilization issues that result in lost worker productivity

Requirements

  • Mobile device model and Android version are supported for the Mobile Computer Device Health APIs
  • Device has been enrolled and authorized for Zebra Savanna
  • Zebra Data Services (ZDS) agent is installed and activated on the device

Getting Started

  • To purchase, contact your Zebra Account Manager
  • Questions? Check the FAQ
  • Visit the Forums

Authentication

A Zebra Savanna application key is required for using and testing this API. See the Getting Started Guide

Requirements

  • Mobile device model and Android version are supported for the Mobile Computer Device Health APIs
  • Device has been enrolled and authorized for Zebra Savanna
  • Zebra Data Services (ZDS) agent is installed and activated on the device

Getting Started

  • To purchase, contact your Zebra Account Manager
  • Questions? Check the FAQ
  • Visit the Forums

Authentication

A Zebra Savanna application key is required for using and testing this API. See the Getting Started Guide

Overview

Identify sites and mobile computers with high levels of RAM usage exceeding thresholds. Any device’s memory that is utilized more than 90% in a given hour is considered a high RAM event. Tolerances for impacted devices include:

  • Normal: less than 15% of devices impacted on the site
  • Warning: 15% - 24% of devices impacted on the site
  • Critical: 25% and above devices impacted on the site
Physical Memory (RAM) Utilization in Action
  • Select date ranges to track sites and devices impacted by RAM utilization issues that result in lost worker productivity