ScienceLogic SL1 Platform Reviews

It helps me in managing and monitoring a large and diverse set of IT assets with minimalistic effort.

It is user-friendly with a primary focus on simplifying IT asset management and streamlining this process by applying state-of-the-art technologies like ML, AI, and big data.

More work should be done on the backend, like with AI and ML algorithms predicting events to eliminate noise or false positives.

It is a new tool that applies new techniques and approaches to IT and network management from a big data view; thus, every company that recognizes the power of these techniques should adopt the Science Logic platform for a long-term vision.

We are Monitoring network elements like switches and routers.

The SL1 PowerPack model allows the loading of specific monitoring capability for specific technologies and yet still leverage standard UI and performance graphs. The open development model to support custom monitoring construction where the basic and extended platforms don't currently reach is a huge win for us.

The floor-to-ceiling organizational security model works great for managed service providers. It is slightly more cumbersome when dealing with enterprise scale organizations on a stack. (We hope to see a solution to this in coming releases.)

The willingness to work with a customer and ensure customer-success, not just vendor-success is important for us.

Case in point is our Enterprise Change Management problems where we have hundreds of organizations attempting to do schedule Change Requests (Maintenance Windows) across multiple stacks but also sometimes against the same Configuration Item (CI) at overlapping times. This was identified as a problem and fixed for devices and scheduled for full resolution in the next release.

As an enterprise use case customer, the limited / current model for allowing non-team any rights at all is a pain point. This is being addressed in a future release and we are engaged in beta testing to ensure it meets our needs.

ScienceLogic, as an organization, has two modes of thinking. (1) ScienceLogic SL1 Platform is the top of the data hierarchy; (2) Your CMDB can be populated by the ScienceLogic SL1 Platform.

This leads to thinking of your stack as "precious".

Our model, where ServiceNow / CMDB flows configuration data down to each of our 8 production ScienceLogic SL1 Platform stacks around the world allows us to think of each stack as "cattle". This allows our resiliency strategy to be clearer and less reliant on a single point of failure.

The pain point with the organizational model of thinking shows up in technical decisions where the stack is considered to be a singleton. This exhibits as "there can be only one" in various technical conversations. We're making it work, but we're having to put effort into maintaining our data hierarchy / model.

At the Enterprise Use Case level, know what you need to accomplish, verify that you can do the integration, build your integrations where necessary as bolt-ons until you can build them in-platform. Consider keeping your CMDB superior to the ScienceLogic SL1 Platform so that you can scale horizontally (either by region or by customer or by organization). Request customer-consults from ScienceLogic.

Ability to track new technology monitoring (which had been a demonstrated inability in our homegrown system).

Ability to keep up with teams that are racing to new technologies as they come to us and request monitoring support for those technologies.

A fundamental shift away from dashboard-only / observational outage reaction to event-based, runbook automation capable support (which does feed our central ops dashboards but which do far more than in the previous implementation).

We are now testing new capabilities in our global / regional monitoring that used to require homegrown / custom coding and had never reached a level of trust to even be considered in our legacy platform.

We are in very early stages evaluating the AIOps capabilities and looking at a +1y time horizon.

ScienceLogic SL1 Platform is really an ideal software for email, server, cpu monitoring. ScienceLogic SL1 Platform is an all in one platform to monitor every kind of technology. By using this so far I monitor tools, servers, networks cpu and many more. With the help of customisable interface things do not remain confusing and it offers simple and convenient ways to make dashboards. Their good customer service helped me a lot in learning phase because they are available 24/7. This single platform can replace a lot of monitoring tools. By using it, any glitch in the network becomes easy to detect and can be removed. It simplifies data network and network monitoring. After using it for time I realised that it improved my work speed for better and provided efficiency.

The main issue I have with ScienceLogic SL1 Platform is the price for its working and features the price is too high. The interface is overcrowded and was difficult to use at start. There are a lot of unnecessary options that need to be removed. The modules are also expensive and documentation is difficult to follow. The UI contains too many elements that are not needed. If some options are removed from the UI it will make the place look simplified. Overall it takes sometime to get adjusted to its design. The support team is also a bit slow in answering to questions.

ScienceLogic SL1 Platform is an expensive software but due to its large number of advantages it is recommended. I have been using it for sometime and it works absolutely fine. Its pros outweigh the cons so I recommend everyone to try it out themselves.

Not only does it discover and monitoring 1000s of COTs devices, but it's very easy to build your own via SNMP/API/XML/Webhooks/Emails. The platform can also provide AIML to detect anomalous conditions, even using custom/proprietary metrics. (To name two of the big features)

Being a current customer, the new user interface will take some time to adjust to.

Building new applications to monitor new platforms devices is very well documented, and the UI provides guides. Since most of our monitored systems are proprietary we had to build all the monitoring, for the most part, without needing programming skills. Using Python functions such as prior(), sum(), round() to name a few you can make complex alarm calculations to use multiple metrics in creating a more actionable and accurate alarm. We use this to see if devices are primary/secondary, or if there is a cluster of devices that have failed over. We have 1000s of events and only a few questions a week about there accuracy. We have reduced our alarm generation by more than half over an approximately 2 year period.

It is easy to monitor all organizational IT assets with real-time monitoring data and Simplified UI components of Science logic or SL1 platform. It collects SNMP data from a wide range of IT components and renders the results in a consistent and organized manner.

There is latency in the state of an IT asset and its status in ScienceLogic due to its dependency on SNMP, which has the design flaw of being slow when it comes to the state change of an IT asset. Due to the AIOps philosophy of the ScienceLogic platform, false positives are encountered frequently, resulting in false alarms.

It is a next-generation tool to manage IT assets due to its dependence on huge data collections along with the support of machine learning and artificial intelligence, and this will lead to simplification of managing and monitoring the different devices from a broad vendor base more efficient.

Monitoring Enterprise networks

Sciencelogic is deployed in various organizations. Clients like its features and it is quite stable compared to other tools.

Its network monitoring and reporting tools has helped clients to evaluate and ratify various issues.

I have just used it as a network monitoring and reporting tools have not checked other aspects of it.

Go for it, one of the best tool available in the market.

Network end to end visibility, monitoring, threshold management, app monitoring etc.

Sciencelogic stole my heart with it's endless customization and alerts.

It was way too expensive to warrant keeping the software.

Give it a serious shot and just don't look at the pricing until you've realized how amazing this piece of software can be.

Using it to help us out with managed services work, remote alerts for a large client. We have recently switched to an inferior product and it made me realize how great this software really was.

This tool can replace many monitoring tools in a company. Easy to create dashboards from scratch. Quick to deploy on AWS

Too many Ui elements. Could get overwhelming at times. The interface is really busy and it's hard to remember where was a particular option that i used in past. Documentation is hard to follow and read on line.

UI needs to be more consistent. Some of the button options could be removed which are used rarely. This will help the tool to look less crowded and simpler to use.

We are monitoring servers and networks windows and linux with Science Logic. Any network blip or glitch becomes easier to be found and fixed. Using power packs options it becomes easy to leverage enhancements across multiple customers.

lots of add-ins available. Good customer service

The additional modules can be kind of expensive

use for monitoring tool

The tool is created with lots of new aspects however,Quite easy to deploy with various approches available in market

It still need alot of time to be stable and mature. Tool itself is still in bug discovery mode. Documentation is avarage and support team is really slow.

It provides vast varities of agentless deployment for monitoring the infrastructure. It is able to monitor almost every recognised technology in use.