We develop our applications in-house to address our organization’s specific mission and operational needs. The data housed within these applications are critical to us, as evidenced by a spike in incoming technical support calls immediately after any network, application, or database outage.
Application and network issues would inevitably arise within our infrastructure. These issues, no matter how minor, were hard to troubleshoot since each application integrates with multiple data sources. We evaluated multiple network monitoring solutions. Visual TruView was selected and deployed to solve our IT challenges and resolve the ambiguity associated with technical support calls.
As TruView processes network performance analytics, it time correlates the results, which helps cross-functional IT teams—such as network engineering and application development teams—work more collaboratively and solve problems faster than before without the usual finger-pointing. The effort is centralized with a dashboard that tells us whether the problem is database, application, or network related so we can assign accountability and get to a solution faster.
The ability to see across our network and monitor each node along with all applications and databases is of great benefit, it helps us immediately identify the problem’s root cause so we can bring in the appropriate service team to solve the issue.
Deployment was rather simple, but did require quite a bit of time to configure since our applications are so complex. But, once we got it up and running, the results were almost immediate.
It also provides ongoing monitoring for external and third-party applications as well. TruView can easily pinpoint problems, letting us know if the issue lies internally or with the external application provider.
For example, we used TruView to troubleshoot a third-party application that was performing slowly over the VPN connection. The application used specific protocols for querying data from multiple sources. We reviewed all data transactions – one after another. In each transaction, data took no more than 30 milliseconds to process. Some of the files, however, exceeded 15 MB in size. These larger data calls required several minutes to process over the VPN. Because we could isolate the specific data call culprits, the system could be optimized to solve the issue quickly and effectively.