Overall Satisfaction with ScienceLogic SL1
My organization is using ScienceLogic as an aIops monitoring platform for our customers. Currently, it's being used by a department. It is addressing the problem of a management and monitoring solution for customer's requirements, with actionable insights to resolve the problems.
- Real time discover
- Analytics/machine learning
- Data lake
- Real-time context
- AIOps
- Derive relationships
- Applications, infrastructure, cloud, and IoT
- IT operations
- Refine data
- Real-time context
- Distributed architecture
- Network
- Improved MTTR.
- Business success.
- Decrease in ticket rates.
- Improved monitoring structure.
Not Sure
Currently, we are using one tool for event monitoring, another one for event management, and yet another one as an ITSM solution. We need to integrate them. ScienceLogic is an all-in-one solution when added to an AI/ML-driven solution.
We are using it to support event management and provide an ITSM solution for our customers.
ScienceLogic establishes a real-time operational data lake and applies context to drive IT process automations for CMDB population and synchronization, proactive incident management, problem diagnosis, and resolution.
- Reduction in ticket count.
- Significant improvement in MTTR.
- Improved monitoring logics.
It significantly improves MTTR. Real-time monitoring using AI/ML is great.