Goliath Performance Monitor vs. Splunk Real User Monitoring (RUM)

GPM is well suited to environments where there is a high volume of Citrix traffic coupled with a lot of different hardware infrastructure endpoints. Large scale multi-user operations where performance issue detection and resolution are key are the primary areas where GPM excels. Use of the GPM product is less appropriate when trying to monitor response times in a JVM application environment.

Incentivized

Splunk RUM was really helpful in identifying brute force attacks as we used Splunk query language and were able to identify how many failed login attempts were made from which country and blacklisted those IP's. Since Splunk entirely depends on Splunk query language, if there are no logs or you delete the logs you can't perform analysis, as there is no stream of live data and also it depends on how frequently your data can be indexed.

Incentivized

• GPM does exceptionally well at gathering and presenting deep metrics from our Citrix servers and storing them in the GPM database server. This is a vital strength for any system monitoring tool and allows administrators to address almost any system related performance question.
• The MonitorIT front end console does a great job of providing graphical views the summarize data from a multitude of locations. This is particularly important in that it allows administrators to focus in on the reasons for performance issues in a proactive manner before hearing from the end users, especially given the large volumes of detailed data captured by the system
• The MonitorIT product is also very adept at gathering metrics across the processing continuum, providing metrics for system resources, service availability and end-to-end user activity. This is a great strength of the system and allows us to develop Tableau visualizations in addition to the extensive reports and dashboarding capabilities of the GPM product.

Incentivized

• End-to-end visibility enables me to see each transaction from start to finish thereby making it easy to know where exactly an anomaly is coming from.
• They have a really kind and helpful customer support.
• Application monitoring.
• End user performance metrics.

• From a purely personal level I would like to see MonitorIT be able to consume data from our clinical/operational databases instead of relying only on taking data in via the agent, log files and scripted sysoutput.
• I think some improvements are possible in the area of custom monitoring of file systems, especially for the detection of missing file scenarios and file volume/rates. GPM only monitors traditional file system metrics like I/O, availability and space utilization, but custom scripting is possible within the design of the system.
• Improvements in documenting the data model of the GPM database schema would also be very useful to advanced users of the system especially when additional external reporting tools are used to extend the GPM usefulness

Incentivized

• The setting baseline for AI-driven troubleshooting requires more documentation to implement.
• Room for integration with open sourced or inhouse monitoring tools.
• Required more flexibility on setting up mobile OS performance metrics.

Incentivized

We eventually settled on GPM because of its very obvious strength and depth with Citrix monitoring. Our entire clinical system is deployed over a Citrix infrastructure so it was essential to choose a system whose key focus was Citrix monitoring. GPM's functionality is unrivaled when it comes to Citrix monitoring which is immediately apparent when one witnesses the deep internals of the Citrix platform being collected and reported on, in close to real-time.

Incentivized

Splunk Real User Monitoring (RUM) has a much better artificial intelligence engine. It also has a much better and more intuitive user interface. Splunk RUM also allows end-to-end visibility into the front and the backend. Technical support and customer service are also much better than Goliath. Query performance is faster than Goliath.

Incentivized

• GPM has had a decent positive ROI particularly in terms of identifying systemic issues and prevention of system downtimes or resource depletion etc. The GPM product shines a spotlight on configuration and design flaws and as a result makes the systems more stable and responsive, saving us time and effort in diagnosing and reporting on system problems. unfortunately these are quite intangible but nevertheless invaluable business objectives for us, but we can say that downtimes and slowness events have dropped consistently year on year since we deployed GPM.
• Our overall objectives with the GPM project was to deploy a system that could be deployed centrally in our Corp datacenter while monitoring devices and users out in the facilities across the East, Central and West geographic regions. The cost of the endpoint agents was quite modest and provided great functionality at this price point. In this respect our business objectives are well satisfied and the system has been a complete success.
• An important aspect of our business objective was to have a monitoring system that didn't require constant maintenance and babysitting, and as such the GPM system has worked out fantastically in that we only use 1-2 staff resources to monitor all the systems mentioned earlier in this review.

Incentivized

• Splunk is a single platform to perform all your analysis from front end to backend and all services.
• Splunk licensing is quite costly.
• Splunk is an excellent tool for data engineering and cyber security purpose.

Incentivized