This article answers the questions:
- “How is Rufus AI different than other popular APM tools on the market?”
- “How does it add value to my enterprise?”
For comparison sake, let us focus on these three areas:
- Total Solution
- Unique Attributes
- Value Proposition
The Total Solution! There are more than twenty APM tools on the market, many of which market their product as a total solution.
The reality is that while these vendors offer monitoring solutions for a multitude of functions, Rufus AI is the first and only provider of a complete system solution in one tool.
Rufus AI can not only identify the root cause of performance problems quickly when other performance tools were unable to detect them after searching for over a year, and it will provide the solution.
For example, assume that you have a performance problem, and you are using one of these APM tools, and the problem is being caused by having the wrong setting in a database parameter, you would not identify it with any of these other tools on the market.
It would be best if you had a total overview of an environment, including virtualization, infra, databases, web servers, and load balancers. Otherwise, an APM tool will help if it is an APM problem, but if it is a configuration problem, you can miss it entirely or struggle to find it.
Same with infrastructure, if, for example, you have an old BIOS and the latest drivers, you will get significant system interrupts. Most of the APM tools on the market will not provide a solution. Most APM tools are reactive; in other words, they detect problems rather than prevent them from happening in the first place. These are only a few examples; Rufus AI provides a total solution, identifying and resolving issues quickly, and Rufus AI is proactive in preventing future problems.
Rufus AI monitors on-premise, cloud, multi-cloud, and hybrid organizations. It covers all seven layers of the (OSI ) open systems interconnection model and adds the additional layers of parameter optimization and cybersecurity monitoring. Vendors offer solutions that target parts of the OSI, while Rufus AI provides a total solution and displays the entire system in a single dashboard. Here is a comparison of Rufus AI’s three largest competitors’ functionalities.
|Advise to resolve issues||X|
|Pre-test go live||X||X|
|System I monitoring||X|
|Z/OS mainframe monitoring||X|
|Root cause analytics||X|
In addition to offering a total solution, Rufus AI contains unique attributes. One of these is Parameter Optimization. Incorrect initial parameter settings can eventually lead to delays, instability, and outages of the IT environment.
During the initial installation of software, the importance of correct parameter settings is severely underestimated. Parameters values are crucial for the ultimate functioning and performance of the installed software. When applications are installed, it is a standard procedure to use the default settings. In most instances, this works fine, and organizations won’t initially see delays.
Over time, however, changes in your ICT environment can be considerable. For example, the enlargement of your network, new applications, version-updates, patches, IoT and cloud additions, more coupled locations are all examples or potential changes. The result is that the parameter settings (for the technicians amongst us: for example, the *.ini files or registry values) are no longer providing optimal performance and can cause a threat to a well functioning ICT environment.
Rufus AI provides cost savings by improving system performance and preventing downtime.
Rufus AI is an artificial intelligence engine built to provide a total solution for performance improvement in the form of recommended or automated response by inspection, diagnosis, and remediation of the entire open systems interconnection model and displays the real-time performance of the whole eco-system in a single interactive dashboard.
This unique service is made possible by leveraging parameter analysis and an artificial intelligence layer that uses performance manuals and best practices collected over the past 25 years.
The cost of downtime is high in any industry. There are plenty of studies on the Internet that demonstrate the cost of downtime for large enterprises as high as tens of thousands of dollars per minute.
Downtime cost = minutes of downtime x cost-per-minute.
Rufus AI cost < cost of slow performance + cost of downtime
Imagine the cost of an auto manufacture assembly line shut down, healthcare center, or an international airport. One European Rufus AI customer estimated their cost of downtime at three million dollars in a single day.