ScienceLogic SL1: Incident Automation
Accelerate Incident response with automated ITSM workflows
Install Trend
View Install Data
| Date | Install Count | Change |
|---|---|---|
| 2026-09-09 | 0 | - |
| 134 days of no change | ||
| 2026-04-27 | 70 | -70 |
| 11 days of no change | ||
| 2026-04-15 | 71 | -1 |
| 6 days of no change | ||
| 2026-04-08 | 73 | -2 |
| 2026-04-07 | 74 | -1 |
| 4 days of no change | ||
| 2026-04-02 | 75 | -1 |
| 3 days of no change | ||
| 2026-03-29 | 76 | -1 |
| 2026-03-28 | 77 | -1 |
| 2 days of no change | ||
| 2026-03-25 | 78 | -1 |
| 2 days of no change | ||
| 2026-03-22 | 79 | -1 |
| 17 days of no change | ||
| 2026-03-04 | 81 | -2 |
| 2 days of no change | ||
| 2026-03-01 | 82 | -1 |
| 29 days of no change | ||
| 2026-01-30 | 88 | -6 |
| 2026-01-29 | 90 | -2 |
| 5 days of no change | ||
| 2026-01-23 | 93 | -3 |
| 2026-01-22 | 95 | -2 |
| 2 days of no change | ||
| 2026-01-19 | 96 | -1 |
| 5 days of no change | ||
| 2026-01-13 | 99 | -3 |
| 5 days of no change | ||
| 2026-01-07 | 100 | -1 |
| 6 days of no change | ||
| 2025-12-31 | 101 | -1 |
| 2 days of no change | ||
| 2025-12-28 | 102 | -1 |
| 7 days of no change | ||
| 2025-12-20 | 103 | -1 |
| 2025-12-19 | 104 | -1 |
| 5 days of no change | ||
| 2025-12-13 | 105 | -1 |
| 9 days of no change | ||
| 2025-12-03 | 103 | +2 |
| 14 days of no change | ||
| 2025-11-18 | 102 | +1 |
| 6 days of no change | ||
| 2025-11-11 | 101 | +1 |
| 22 days of no change | ||
| 2025-10-19 | 100 | +1 |
| 20 days of no change | ||
| 2025-09-28 | 99 | +1 |
| 3 days of no change | ||
| 2025-09-24 | 98 | +1 |
| 56 days of no change | ||
| 2025-07-29 | 97 | +1 |
| 1 days of no change | ||
| 2025-07-27 | 96 | +1 |
| 16 days of no change | ||
| 2025-07-10 | 95 | +1 |
| 10 days of no change | ||
| 2025-06-29 | 93 | +2 |
| 2 days of no change | ||
| 2025-06-26 | 92 | +1 |
| 7 days of no change | ||
| 2025-06-18 | 91 | +1 |
| 2025-06-17 | 90 | +1 |
| 14 days of no change | ||
| 2025-06-02 | 89 | +1 |
| 2 days of no change | ||
| 2025-05-30 | 88 | +1 |
| 16 days of no change | ||
| 2025-05-13 | 87 | +1 |
| 17 days of no change | ||
| 2025-04-25 | 86 | +1 |
| 1 days of no change | ||
| 2025-04-23 | 85 | +1 |
| 5 days of no change | ||
| 2025-04-17 | 84 | +1 |
| 63 days of no change | ||
| 2025-02-12 | 83 | +1 |
| 14 days of no change | ||
| 2025-01-28 | 82 | +1 |
| 10 days of no change | ||
| 2025-01-17 | 81 | +1 |
| 78 days of no change | ||
| 2024-10-30 | 80 | +1 |
About
The ScienceLogic SL1 AIOps platform allows you to see, contextualize, and act on your IT operational data in real-time.
The ScienceLogic certified integrations with ServiceNow shift IT teams from manual to automated operations. Using ScienceLogic SL1 with ServiceNow eliminates manual steps typically required to populate and manually reconcile your CMDB, in turn enabling automation of ITSM workflows like incident management, change management, service impact management, service catalog request management, case management, and event management. With the clean, consistent, and contextualized monitoring data SL1 feeds into your CMDB, SL1 allows you to automate ticketing, routing, change management, and other ITSM workflows to solve problems faster and ultimately improve customer experience.
Specifically, the ScienceLogic SL1 Incident Automation application enables bi-directional synchronization between ServiceNow Incident Management and SL1 so you can:
- Reduce event and incident noise to lower MTTR
- Automatically enrich ServiceNow incidents with diagnostic triage information for faster troubleshooting and RCA
- Automate the incident management process including opening, populating, routing, and closing incidents
- Connect your IT ecosystem to gain unique insights
Users seeking maximum value from integrating ServiceNow and SL1 should also consider the ScienceLogic SL1: CMDB & Incident Automation application or Service Graph Connector for ScienceLogic.
Key Features
- Real-time, bi-directional integration between SL1 and ServiceNow
- Reduce Event and Incident Noise to lower MTTR
- Automate Troubleshooting to reduce MTTR
- Automate Incident Management to provide visibility to end customers and improve customer experience
- Connect Your IT Ecosystem to Gain Unique Insights