Reduce event noise, raise fewer incidents, recover from faults faster
A unified AIOps platform, allied to the power of machine learning algorithms - leveraging end-user, incident, performance data and metrics from any source, any perspective.
Integrations driven: assimilate data from a diverse range of IT management tools and applications
- Collect, correlate events from application performance, network, server, storage and infrastructure monitoring tools
- Visualize and manage IT health data in a single-pane-of-glass
- Cross-stack, cross-domain contextual awareness for real-time, predicted business impact
- Open API support to integrate with anything with a digital pulse - TCP/UDP, REST and SOAP web services, SNMP, log files, database, CLI, …
Eliminate event storms and reduce event volumes. See the health of your enterprise from the data center to the cloud
- Automatic suppression of event storms and noise – eliminate manual processing of up to 99% of downstream and sympathetic events
- Automatically de-duplicate, correlate and group events into manageable, relevant, actionable scenarios, adding business context
- Enrich events with incident/change management data, location and dependency information
Prevent service impact: advanced warning indicators
- Automatically identify hidden event patterns that typically lead to critical service performance degradation and outages
- Visualizations plot severity and time to failure - intuitive reports connect related attributes
- Prevent future service disruption with accurate service forecasting
Remove the guess-work: build operational knowledge
- Iterative algorithms model your environment – adding historical context, dependencies, and predictive service fingerprinting, resulting in early warnings before service is impacted
- Prioritize events based on recent incidents and changes - dynamically organized by service impact, severity, and priority
- Model policies and algorithms formulate future predictions
- Service Model queries pinpoint related infrastructure objects that may also be impacted
Root cause analysis: automate service restoration
- Automatically identify hidden event patterns that typically lead to critical service performance degradation and outages
- Visualizations plot severity and time to failure - intuitive reports connect related attributes
- Prevent future service disruption with accurate service forecasting
Visualize infrastructure-to-business dependencies; leverage existing data sources via import and federation capabilities
- Model the impact of IT changes on services and customers before changes are made
- Identify and re-schedule conflicting changes
- Identify unauthorized changes to IT infrastructure
- Deliver change scheduling by business service, customer or technology
- Audit & Compliance: automated audit trail of IT infrastructure changes; verify disaster recovery systems are in-line with production
