Overall Satisfaction with ScienceLogic SL1
ScienceLogic SL1 is being used as the enterprise monitoring, reporting, and alerting tool for several of our customers. It is integrated with Service Now for incident and CMDB synchronization to quickly automate scheduled outages, full systems life cycle including commissioning and decommissioning automation, and helpdesk integration. It is also used to monitor Cloud resources, and tie back into the billing system via its API capabilities.
- Easy dashboards
- Highly flexible monitoring
- Extensible architecture
- Documentation completeness and accuracy
- QA of new features
- Quickly identify RCA for outages
- Automate ticketing and incident management
- Allow single pane of glass for SR IT Leadership
If implemented holistically, e.g. if it has an IP it's in SL1. The tool provides unprecedented visibility into every level of the OSI Model. The true challenge becomes working with SMEs for each device or application to determine what KPI they want to monitor and alert on.
With the rest-based API native to SL1, a variety of ETL and web-based technologies and pull and push data to SL1 for billing, incident management, automation, and alerting. These capabilities are furthered with the implementation of the integration server by science logic providing 2-way synchronization with Service Now.
- We can see how events /outages are related.
- We have built custom widgets to show GIS maps for Wan utilization.
ScienceLogic SL1 was the only option for WYSIWYG dashboards when we selected them in 2009 and noticeably cheaper. Other vendors are now catching up and ScienceLogic is starting to price themselves out of their market segment.
As an enterprise monitoring and alerting tool, ScienceLogic SL1 is an all-in-one solution that can be extended for any need in the company. It is extremely extensible as long as you have trained developer staff who know SL1, Python, and SQL, but is still very usable out of the box. Like most modern IT companies they want to move to a subscription model that needs to be evaluated to verify it is the best model for your organization.