Monitor to Eliminate Visibility Gaps while Driving Tool Consolidation
Organizations have big gaps in multi-cloud visibility leading to high costs and endangered customer experience—the ScienceLogic AI Platform consolidates tools and fills gaps with full-service visibility.
- Monitor across AWS, Azure, Google, IBM cloud, Kubernetes, VMware, and more.
- Automatically collect data across multiple clouds using APIs, agentless, and agent-based techniques.
- Integrate and fuse data across modern multi-cloud environments into a real-time operational data lake.
Product Tour: See how to Close Visibility Gaps in Hybrid Cloud
Assess Service Impact to Avoid Service Outages
Ensuring optimal service performance in multi-cloud environments is complex—shift from device to service-centric monitoring with ScienceLogic SL1 to proactively avoid service impacting outages.
- Automatically map and track infrastructure, app, and service dependencies to understand business impact.
- Measure service health, availability, and risk in a single real-time dashboard.
- Prioritize work based on business impact with fast drill down to root cause.
Isolate Root Cause Faster with ML-based Behavioral Correlation
Multi-cloud complexity is outpacing human capacity for analysis and response—leverage Skylar™ AI machine learning-based behavioral correlation and anomaly detection to accelerate root-cause analysis.
- Automatically detect weird and anomalous patterns and shapes of performance data.
- Automatically correlate events and anomalies to reduce noise, identify service-impacting issues.
- Quickly assess and isolate the root cause of an issue.
Troubleshoot & Fix Issues Automatically for Faster MTTR
ITOps wastes time manually diagnosing and fixing issues using a variety of tools—accelerate troubleshooting and repair with hundreds of best practice automated actions executed in one platform.
- Automatically capture real-time diagnostic data at the time an event occurs.
- Create and enrich events/incidents with real-time diagnostic information.
- Run recommended triage and remediation actions from within a single command center.
Automate Operational Data Workflows for Performance Insights
Organizations require consistent data across their ecosystem of tools—SL1 supports a common operating model that powers automated workflows for efficiency and agility across operations and LOB.
- Achieve CMDB accuracy with real-time sync of your monitored environment.
- Resolve incidents faster with automated ticketing.
- Automate CI lifecycle, configuration, change, problem, compliance management, and more.
Extend Service Visibility with Build-Your-Own Integrations
Integrate and orchestrate people, systems, and processes across teams so your business can continue to evolve—extend monitoring, synchronization, and automation across specialized/new systems.
- Build your own monitoring via API, SSH/CLI, REST, JMX, and more.
- Quickly author low-code automated IT and data synchronization workflows.
- Monitor and automate unique or custom technologies, processes, and workflows at your own pace.
Cisco IT: A Transformational Journey to Multi-Cloud Operations
Success Stories
Hundreds of customers already trust ScienceLogic.
Here's why.


Ready to See it in Action?
Ready to fill the gaps? See how you can get full-service visibility with the ScienceLogic AI Platform.
Fill out the form to request a customized demo.