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Intelligent network automation to power digital enterprises
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Grappling to manage network operations and device configurations?
Leverage end-to-end network lifecycle automation
Growing number of devices and complex processes are constantly adding to the network management issues of the new-age enterprises. Manually monitoring and managing networks is proving to be immensely difficult. The challenges include:
- Long time to provision, configure, and troubleshoot
- Error-prone manual changes and resolutions
- Vendor lock-ins
- Distributed network control
- Limited network scalability
DRYiCE NetBot, a workflow driven network automation product offers seamless network management and increases your enterprise agility while reducing recovery time.
The NetBot Advantage | Increase business uptime with AI-assisted troubleshooting
Reduce recovery time
NetBot’s AI-based troubleshooting module provides a visual representation of remediation workflows with real-time performance metrics. It also empowers network leaders to author troubleshooting blueprints that can be adopted by help desk admins for quick remediation.
Leverage existing investments
NetBot’s conversational interface and integrated universal controller understands pseudo commands allowing admins to log inputs and push commands to a multi-vendor tool ecosystem from a single pane of glass to increase collaboration with existing ecosystem.
Create an orchestrated network environment
NetBot offers fast deployment and easy scalability. It quickly automates your entire network lifecycle – from day zero provisioning to management to seamless orchestration.
Get real-time actionable insights
NetBot is powered by an analytics framework to drive autonomics and orchestration through real-time actionable insights. Its GUI provides deep network analytics with the ability to schedule, track, verify, log, organize, and report from a single, centralized dashboard.
Build intelligence in your network
NetBot deploys cognitive intelligence to automate responses to high-frequency alerts. Algorithm based decision making and self-learning ability evolve based on experience from new information, new scenarios, and new responses.
The NetBot Impact | Improve response time with cataloged use cases
OUT-OF-BOX USE CASES
REDUCTION IN MTTR