Ensuring that networks and the applications they enable are performing as well as they should is a full-time and challenging task for system administrators. We've all encountered scenarios in which end-users complain that an application is slow. Then the network team says it's not their problem, and the development team (or third-party application vendor) also says it's not their problem either.
This is not just an anecdotal problem. Data from ZX Research shows that 90% of an IT team's troubleshooting time goes on figuring out if there is an issue at all, never mind where it originates. Added to this stat is one from the Network Management Megatrends 2018 study by Enterprise Management Associates that shows 35% of all network management time is used for reactive troubleshooting after something has gone wrong.
These data tell us that there is a network visibility gap in many organizations. In an ideal world, system administrators would discover issues before they impact application performance. When they don't, it leads to problems like:
Application users get impacted, which slows them down, which impacts productivity. In the worst cases, the application they need is offline, and they can't work at all.
Reduced productivity inevitably leads to a business impact on many fronts.
If the applications with problems serve external customers, they will look for other options from a business's competitors. It's easier to lose customers than it is to acquire them!
Visibility gaps on the network are open to being exploited by cybercriminals and insider threats.
Plugging any gaps in network visibility is important, but it is also difficult without suitable tools. Progress Flowmon is a solution that can monitor hybrid cloud-based networks and applications via a machine learning based expert system that can discover, analyze, and provide remediation advice using industry-standard frameworks such as the Mitre ATT&CK Framework.
By capturing and analyzing various types of network traffic and telemetry information Progress Flowmon can plug the visibility gaps that many organizations have on their network. After examining the data and comparing trends against known issues and cyberattack vectors, a dashboard presents an overview of the network status, as shown in the sample screenshot below.
Flowmon network monitoring dashboard on connected data source (load balancer)
The machine learning based analyzer provides:
Many benefits flow (pun intended) from deploying Progress Flowmon to monitor and analyze a network. They include:
Below we summarize some real-world examples where Progress Flowmon customers benefited from the solution.
We've only scratched the surface in this short post. Hopefully, it has given you the appetite to learn more about Progress Flowmon and how you can use it to help deliver the best application experience to your staff and customers.
View all posts from Flowmon Author on the Progress blog. Connect with us about all things application development and deployment, data integration and digital business.
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