Goliath Performance Monitor is an IT infrastructure monitoring platform from Goliath Technologies in Conshohocken, Pennsylvania.
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Splunk Infrastructure Monitoring
Score 8.7 out of 10
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SignalFX is Real-Time Cloud Monitoring and Observability for Infrastructure, Microservices and Applications. SignalFX was acquired by Splunk in August 2019. SignalFX Infrastructure Monitoring provides real-time cloud monitoring and observability platform for infrastructure, microservices and DevOps. A new SignalFX product, SignalFx Microservices APM, was released March 2020 to detect issues, provide real-time app troubleshooting, and future-proof expectations.
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.
Splunk Infrastructure Monitoring is well suited for any complicated environment where you have apps and servers across multiple clouds and platforms and products. If you have a data centre where all your apps and servers are in one single network, you could probably get away with older solutions. But for any modern, complex, hybrid-cloud microservices environment, Splunk Infrastructure Monitoring is a must-have.
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.
SignalFX handles historical metric aggregation exceptionally well, providing a multifaceted approach to event detection based on anomalies.
SignalFX's cost is incredibly flexible with their pricing model of DPM (data-point per minute) vs the traditional "per host" model that most monitoring SaaS use.
SignalFX support is responsive and knowledgeable, very eager to help solve your immediate problems.
SignalFX integrations is vast and constantly growing, making adoption easy even when multiple different open-source technologies are used in your stack.
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
Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net
I find that learning the interface can take some time. We need a better show-and-tell on how the Teams pages, Dashboard Groups, Dashboards and charts delay. Advance SignalFlow is sometimes hard to build. Some better samples of advanced SignalFlow would be helpful. For example, Splunk SPL has a vast resource of examples.
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.
They’re not for the same purpose but we’re using NewRelic and Honeycomb for monitoring purposes. NewRelic is used for HTTP client monitoring for system related throughput, error, database and external client monitoring. Honeycomb is used to monitor actual HTTP request/response values. Splunk [Infrastructure Monitoring] is used for real-time application related throughout and error monitoring.
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.
Caused us to get a lot of spam when we redeployed apps and old instances stopped sending metrics. Muting alerts solves this, but people often forget to do it or do it incorrectly.
Helped us find historical info about instances/apps.
