In the modern era, emails are the life-blood of business! Enterprises rely heavily on emails for both their business and internal correspondence.
Traditionally, email services were offered by enterprise applications such as Microsoft Exchange, which were typically hosted on-premises. However, the promise of on-demand access, high service levels, and low setup / maintenance costs, compelled many enterprises to move from on-premises email service deployments to cloud-based email service offerings.
In recent times, Office 365 has eclipsed all other cloud providers to emerge as the most widely used enterprise cloud service. Its email service offering, Exchange Online, is being used by numerous organizations for their business-critical communication. These environments will not tolerate frequent failures / consistent delays in email transmission/reception, as such anomalies will cost them dearly - both in terms of revenue and reputation. Such problems will also reflect poorly on the reliability and efficiency of Exchange Online.
To avoid such an adverse outcome, administrators must continuously monitor the email sending/receiving function of Exchange Online, promptly capture issues in mail transmission/reception, and initiate measures to eliminate these issues before users notice. To help administrators in this mission, eG Enterprise provides the following monitoring models:
- The O365 Mail Sender model that focuses on the mail sending function of Exchange Online;
- The O365 Mail Receiver model that monitors how well Exchange Online performs email reception
With the help of these models, administrators can effortlessly simulate the email sending and receiving operations of the Exchange Online service, and measure the overall health of these operations, without waiting for real users to start using the email service actively. In the process, administrators can promptly capture message transmission failures, and accurately isolate the reasons for the same. Moreover, using these models, administrators can also proactively detect potential latencies in message transmission/reception, and diagnose the probable source of the slowness - is it because of a delay in connecting to the service? or is it because the email service is sluggish in processing incoming/outgoing emails? Also, since you can easily configure each of these activities (i.e., mail sending and receiving) to be simulated from different locations, you can now compare email service performance across locations; this way, you can precisely pinpoint the problem-prone locations.