Foglight is a database performance management suite from Quest, with modules to perform cloud analytics, network performance monitoring and virtualization management, scaling to a broad, cloud / virtualization focused IT infrastructure monitoring solution.
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Goliath Performance Monitor
Score 10.0 out of 10
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Goliath Performance Monitor is an IT infrastructure monitoring platform from Goliath Technologies in Conshohocken, Pennsylvania.
Monitoring, Alerting and Management of on-prem virtualization and physical servers
Historical trending and baselining are excellent and being able to compare a problem period against the same sets of data for a period when there was no issue is especially helpful as part of troubleshooting.
Ease of use for end users is appreciated
Weaknesses [of Foglight]
Creation and management of custom monitors is a developer level activity requiring Groovy skillset
Less useful for management of an environment where there is a large amount of custom implementations
Commitment to longevity of cartridges/packs for specific subsystems
Ability to create custom schedules/alerts/escalations is only available via a 3rd party product (from a former Quest developer) and is not particularly easy to manage/manipulate
Lack of API accessibility for external integrations to other analytics (splunk, etc.)
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.
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.
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
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.
Foglight has a positive impact on my company by being a complete monitoring platform that specializes in risk assessment, user diagnosis and management, and server monitoring ensuring a secure business infrastructure through predictive analytics, query analysis, anomaly detection, behavior tracking, troubleshooting, automated discovery, and more.
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.
