There are plenty of new things that ScienceLogic AI platform:

The first is that it changes its naming convention to a more cleaner Skylar family like Skylar One, Skylar AI, Skylar Automation etc.

It helps us to automatically find the root causes of the issues that happens earlier & get the things sorted quickly & off course reduces the manual efforts.

Low code or No code environment is one of the best features that the Skylar offers as it helps us to create the Dynamic applications & Powerpacks on the platform based on our customer requirements without even having a lot of knowledge of Programming/coding languages. Review collected by and hosted on G2.com.

Modifications & Customizations in the powerpacks, Dynamic applications still takes more time than expected. The process of Onboarding & decommissioning of devices could be improved further as it is still not as efficient as other platforms provide. Review collected by and hosted on G2.com.

I find the ScienceLogic AI Platform's event correlation capabilities valuable for tackling event fluxes, which was a key problem for us. I'm particularly interested in the ScienceLogic Advisory feature and eager to explore it further to understand its full range of capabilities. It's exciting because it promises to enhance AI by integrating contextual information from events, devices, and the history of devices. The dashboards it creates are especially helpful for presenting complex data in a clear and structured way, making them perfect for our leadership team to gain comprehensive visibility over our infrastructure. Review collected by and hosted on G2.com.

I think one area that could be improved is how to infuse different AI models and manage the number of tokens spent on these AI models using the AI advisory platform. Review collected by and hosted on G2.com.

What I like most is its unified observability. Instead of using multiple tools, ScienceLogic gives us a single platform to monitor hybrid environments, correlate events, and understand service impact. The AI-driven insights and automation help reduce alert noise, speed up root-cause analysis, and save operational effort Review collected by and hosted on G2.com.

One area I'd like to see improved is bulk onboarding and management of virtual devices, especially for native monitoring. Creating them one by one is time-consuming in large environments. A streamlined bulk creation/import workflow would make deployment much more efficient. Review collected by and hosted on G2.com.

Sciencelogic is deployed in various organizations. Clients like its features and it is quite stable compared to other tools. Review collected by and hosted on G2.com.

We've been running ScienceLogic in our environment for about two years now, and honestly it's become something we'd have a hard time replacing. The thing that won us over early was how well it handles hybrid visibility — we have on-prem gear sitting alongside cloud workloads and a handful of legacy systems that other tools just couldn't make sense of. ScienceLogic pulls it all into one place without us having to build a bunch of custom connectors. The automation side has saved our team real hours — we set up workflows that used to require someone to manually babysit tickets, and now they just... run. It's not perfect. The initial setup has a learning curve that will humble you, and tuning alerts to cut down on noise took longer than we expected. But once it's dialed in, the ROI is hard to argue with. The AI features are genuinely useful rather than just a marketing checkbox — root cause analysis in plain language has made a noticeable difference in how fast our junior engineers can triage issues. If you have the patience to implement it properly, it pays off. Review collected by and hosted on G2.com.

I like their smart way of automating self healing workflows to fix common technical issues without human intervention Review collected by and hosted on G2.com.

They can improve their service models under business service in AP2. Review collected by and hosted on G2.com.

I like the unified monitoring capabilities of ScienceLogic AI Platform because it gives us a single view of our entire infrastructure, including servers, databases, cloud, and network devices. This reduces the need to switch between multiple tools and helps us maintain the tool more effectively. I also appreciate the automation capabilities, which reduce manual effort by automating monitoring tasks and event management. ScienceLogic provides actionable alerts and insights, which help our team troubleshoot problems quickly. Review collected by and hosted on G2.com.

I find the user interface complex for new users. Improved customization options, simple navigation, and more built-in automation templates would further enhance the user experience. Review collected by and hosted on G2.com.

ScienceLogic supports other integrations as well, and those integrations are included as part of ScienceLogic SyncPacks and PowerPacks. Review collected by and hosted on G2.com.

I don’t have any complaints about it. It’s easy to integrate and straightforward to use. Review collected by and hosted on G2.com.

The ScienceLogic AI Platform unifies hybrid cloud visibility, leverages machine learning for rapid root cause analysis, and automates remediation. Integrating seamlessly with ITSM systems like ServiceNow, it eliminates alert noise, updates CMDBs, and reduces MTTR. Review collected by and hosted on G2.com.

The ScienceLogic AI Platform faces criticism for a steep learning curve, complex configuration, and dated UI reporting. Initial setups often suffer from excessive alert noise, demanding significant manual tuning to reach smooth, optimal operational efficiency. Review collected by and hosted on G2.com.

Feature like event correlation and predictive insight are very useful. these feature will be helpful in finding the root cause .instead of going thought every single alert Review collected by and hosted on G2.com.

i found there deployment a bit complex compare to tools like solarwinds and manageengine. we need to consider powerpacks , service model ,dynamic application Review collected by and hosted on G2.com.

I appreciate ScienceLogic AI Platform for its proactive monitoring and alerting, which helps reduce business impact by notifying issues prior to them becoming critical. I find it to be one of the best monitoring tools I’ve ever used, having relied on it for the past four years. The platform is quite flexible and customizable, allowing us to tweak dynamic applications based on our alerting needs. Its new AI platform is pretty cool, and the analytics feature is very good. I also value its capability for integration, making it a master in this area. Review collected by and hosted on G2.com.

The noisy alerts are a bit of a pain. The collectors lose their cache and result in false positives. The FIFO system of other collectors taking over when there is an issue on an existing collector is a bit slow. That needs to be tweaked to address this. Review collected by and hosted on G2.com.