Goliath Performance Monitor is an IT infrastructure monitoring platform from Goliath Technologies in Conshohocken, Pennsylvania.
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ScienceLogic SL1
Score 8.4 out of 10
Enterprise companies (1,001+ employees)
ScienceLogic is a system and application monitoring and performance management platform. ScienceLogic collects and aggregates data across and IT ecosystems and contextualizes it for actionable insights with the SL1 product offering.
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Pricing
Goliath Performance Monitor
ScienceLogic SL1
Editions & Modules
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Offerings
Pricing Offerings
Goliath Performance Monitor
ScienceLogic SL1
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Required
Additional Details
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ScienceLogic SL1 offers four tiers:
SL1 Advanced – Application Health, Automated Troubleshooting and Remediation Workflows
SL1 Base – Infrastructure Monitoring, Topology & Event Correlation
SL1 Premium – AI/ML-driven Analytics, Low-Code Automated Workflow Authoring
SL1 Standard – Infrastructure Monitoring – with Agents, Business Services, Incident Automation, CMDB Synchronization, Behavioral Correlation
To get pricing for each tier, please contact the vendor.
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.
Appropriate if you are setting up a monitoring suite in new Infrastructure Environment. Definitely NOT suited for Migration Projects. ScienceLogic SL1 cannot cater to a lot of monitoring requirements which already would have been configured in old monitoring suite. Plus, limited support for customizations and having to go to "Feature Requests" route makes in extremely complicated.
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
Dashboards are quite old and are of Iron age. Need to have AP2 dashboards only instead of AP1 and consistent new design across all functionalities.
Reporting is not improved since Y2020 and need to revamp completely. Need to integrate Dashboards and Reporting. PowerBI Like functionality to be given OOTB. Reports should be extracted in Excel, PDF, HTML and should be heavily automated.
Create and Open APIs for basic and advanced monitoring data extraction.
Topology based Event Correlation and Suppression should be improved drastically. Need to identify critical network interfaces based on Topology and monitor them. Basic customization of Dynamic App and/or Powerpack to exclude/include certain metrics/events to be permitted OOTB instead of customizations.
Integration with ServiceNow to be improved and to be taken to next level. Automation Powerpack should be made available OOTB as part of base product and to be priced attractively.
Take product to next level where we can monitor actual impacted IT or Business Service instead of metrics and events BSM and Topology map to be auto discovered and identify the network dependencies and alternate paths automatically instead of manual creation of BSM.
It is simply because of all the best possible autonomy solutions it is providing and getting better day by day. Using AI and Devops along with handy automation, The monitoring and Management of devices becomes much easier and the way it is growing in all the aspects is one the best reasons too. Evolution of the SL1 platform in the autonomy monitoring and management is quite appreciable.
The core functions are there. The complexity is due to the complexity of the space. The score is based on comfort (I no longer notice the legacy UI) and the promise that I see in the 8.12 Unified UI (a vast improvement). It is also based on the fact that with 8.12, you can now do everything in the new UI but you still have the legacy UI as a fallback (which should now be unnecessary for new installations)
SL is always there and online when you need to get info from it. The only times when SL was not available in our own data center, was when network links from out side of the data center was down and those links were not in our controll. Having a central database and people accessing it all over the world, may put a bit of constarin on the performance of the dashboards when reports gets generated, but that is far and few n between.
SceinceLogic SL1 architecture helps the platform to give a top-notch performance in every respect, Data collection to reporting happens very smoothly. With the new user interface pages load much faster. Individual appliances carrying the individual task ensure things are working without lag. Integration with ticketing tool(SNOW) is well managed by the ScienceLogic, no issue or much delay has been observed while interacting with an external tool.
So far, it's good as part of my overall experience, except for a couple of use cases. The support team is well knowledgeable, has technical sound, and is efficient. When support escalates to engineering, the issue gets stuck and takes months to resolve.
It was good, Do the online training first and understand it and you will get the most out of the in-person training that way. This also takes you to an advanced level which is very good and the training as been overhauled once again along with new product coming in such as Zebruim / Skylar, worth going through again if it a while back that you first did this.
There are a lot of educational materials and courses on the SL1 training site (Litmos university). However the recording quality is sometimes not very good - screen resolution is low. There is a lack of professional rather than user-oriented documents and there are mistakes in documentation and education is not well structured.
As first time developers, getting to grips with powerpack development using SNMP, Powershell and Python etc, was not helped by poor and badly organised online documentation. In many cases, we had to look at existing powerpacks and try to work out what it was doing and why - not always with much success. Even after receiving expert level training, the development of some powerpacks would not have been possible without access to the SL1 support staff.
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.
Science logic SL1 is so user friendly and it's really easy to navigate between function. I would recommend Sciene logic SL1 to all of them who are looking for really useful monitoring tool and expecting easy way of managing it.
Our deployment model is vastly different from product expectations. Our global / internal monitoring foot print is 8 production stacks in dual data centers with 50% collection capacity allocated to each data center with minimal numbers of collection groups. General Collection is our default collection group. Special Collection is for monitoring our ASA and other hardware that cannot be polled by a large number of IP addresses, so this collection group is usually 2 collectors). Because most of our stacks are in different physical data centers, we cannot use the provided HA solution. We have to use the DR solution (DRBD + CNAMEs). We routinely test power in our data centers (yearly). Because we have to use DR, we have a hand-touch to flip nodes and change the DNS CNAME half of the times when there is an outage (by design). When the outage is planned, we do this ahead of the outage so that we don't care that the Secondary has dropped away from the Primary. Hopefully, we'll be able to find a way to meet our constraints and improve our resiliency and reduce our hand-touch in future releases. For now, this works for us and our complexity. (I hear that the HA option is sweet. I just can't consume that.)
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.
