AIOps
Overall Satisfaction with ScienceLogic SL1
We use it internally and also implement it for our customers. This is the right tool for AIOPs minoring and early detection. It has end to end monitoring capabilities across the ecosystem.
- Discovery
- OS monitoring
- Event correlation
- Network monitoring
- Network configuration
- Algorithm-based correlation
Yes - We have replaced multiple tools with ScienceLogic. Ca UIM or Nimsoft, BMC BPPM, and SolarWinds.
Yes, ScienceLogic provides complete visibility into the infra and apps. With its monitoring capability, it uses AI and ML to identify anomalies in the ecosystem. ScienceLogic helps quickly open incidents. It’s a solution. It has the capability to monitor all legacy and new environments efficiently and provides efficiency in running its operations.
Yes, we are using ScienceLogic for multiple customers and have replaced it with multiple other tools at our customer's place. We have replaced our CA Nimsoft monitoring tool for server database apps and network storage with ScienceLogic. We also use it for event correlation and identification of abnormalities in the ecosystem. It helps in opening tickets automatically in ServiceNow with no direct integration.
It uses soap rest API based integration and gets a data feed from multiple underlying monitoring tools for event consolidation and event correlation. It has the capability to monitor os, database network apps, and server hardware. It also provides the capability to identify and provide visibility into the ecosystem. It helps in identifying the probable root cause of the problem and helps in bringing the efficiency in running its operations.
- Discovery
- End to end monitoring
- Auto-remediation
- Positive
- Better MTTR
- Better MTTI
- BMC CMDB (formerly Atrium CMDB), SolarWinds Netflow Traffic Analyzer and SolarWinds Network Bandwidth Analyzer
ScienceLogic is a single tool that does end to end monitoring with a single agent or agentless monitoring for the entire IT ecosystem which helps in using only one tool for monitoring. This has helped us reduce the cost for using multiple tools and provides easy integration with multiple lying tools to identify an anomaly in real-time and provide complete visibility into the entire ecosystem. It has built-in AI and MI capability which helps in not being inefficient in running its operations.