Together, AI and automation create a powerful and adaptable framework that drives unprecedented scalability.
AI-Assisted Diagnosis Automation
Unlock the power of intelligent diagnosis at machine speed with AI-assisted automation. Type your diagnosis question, and the AI Co-Pilot will interpret your intent using a large language model (LLM). “Shift Left” troubleshooting workload so L2 engineers’ work can be done by L1 engineers and L1 work can be handled by Automation and AI. Plus, the Co-Pilot will effortlessly perform monitoring and create custom observability dashboards. Dramatically reduce human touch, escalations, and MTTR.
AI-Assisted Observability & Auto-Remediation
How long do you spend on network assessments each year, and do they cover your entire network? How useful are they after a couple of months?
NetBrain’s Observability & Auto-Remediation solutions prevent outages by automating your assessment process making it continuous. Gain real-time insights through intuitive network-wide summary observability dashboards that monitor automation across your entire network. Our proactive tools help you quickly address issues as they emerge, ensuring optimal performance. Make network management proactive with customized security, applications, and compliance observability.
AI-Assisted Change Automation
How many network changes do you make every month, and what’s your success rate? Have your changes ever led to unintended consequences like outages?
With NetBrain’s Triple Defense, you can make changes with greater confidence. Before implementing a change, analyze it against your established golden config rules. During the change, assess the impact of your deployment to ensure everything is functioning properly. Afterward, integrate your new design into the golden config rules to prevent future configuration drift. Safeguard your network from unintended consequences throughout the change management process to minimize the risk of outages.
FAQ
- What is AIOps?
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AIOps, or Artificial Intelligence for IT Operations, refers to the use of AI and machine learning to enhance IT operations by automating and improving processes such as monitoring, incident response, and performance analysis. In relation to NetBrain, AIOps integrates automated network visibility, real-time analytics, and proactive remediation to optimize network management.
NetBrain leverages AIOps to analyze network data, identify issues before they escalate, and automate responses to incidents. This helps organizations improve operational efficiency, reduce downtime, and enhance overall network performance, allowing IT teams to focus on strategic initiatives rather than routine troubleshooting.
- What are the benefits of AIOps?
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- Proactive Issue Resolution: AIOps enables early detection of network issues, allowing for proactive remediation before problems escalate into outages.
- Automated Insights: By analyzing vast amounts of network data, NetBrain provides actionable insights that help IT teams make informed decisions quickly.
- Enhanced Efficiency: Automation of routine tasks reduces manual effort, freeing up IT staff to focus on strategic projects rather than repetitive troubleshooting.
- Improved Network Visibility: AIOps enhances real-time visibility into network performance, enabling teams to monitor health and performance metrics more effectively.
- Faster Incident Response: With automated incident detection and response capabilities, NetBrain reduces mean time to resolution (MTTR) for network issues.
- Data-Driven Decision Making: AIOps leverages historical data and machine learning to improve decision-making processes, helping teams optimize network configurations and performance.
- Streamlined Collaboration: By centralizing data and insights, AIOps fosters better collaboration among IT teams, enhancing communication and coordination during incident management.
- Reduced Downtime: Ultimately, AIOps helps minimize downtime and maintain high network availability, leading to improved service delivery and user satisfaction.
- How does AIOps work?
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1. Data Analysis and Insights
NetBrain uses AI algorithms to analyze large volumes of network data, including performance metrics, configurations, and operational logs. This analysis helps in identifying patterns and anomalies that may indicate underlying issues.
2. Automated Root Cause Analysis
AI capabilities allow for rapid identification of root causes when network problems occur. By correlating various data points and historical incidents, NetBrain can quickly pinpoint the source of issues, reducing troubleshooting time.
3. Predictive Analytics
NetBrain employs predictive analytics to forecast potential network problems before they arise. By analyzing historical data and trends, it can identify risks and suggest preventative measures, enhancing overall network reliability.
4. AI Co-Pilot
The AI Co-Pilot acts as an intelligent assistant for network operators. It provides real-time recommendations and contextual insights based on the current state of the network, helping teams make informed decisions quickly.
5. Automation of Responses
AI enables automation of remediation tasks. When an issue is detected, NetBrain can automatically execute predefined scripts or actions to resolve the problem, minimizing the need for manual intervention and speeding up response times.
6. Continuous Learning
The AI models within NetBrain continuously learn from new data and incidents, improving their accuracy and effectiveness over time. This adaptive learning helps enhance the performance of AI-driven insights and automation.
7. Digital Twin Integration
NetBrain uses digital twin technology to create a virtual representation of the network. This allows for real-time monitoring, simulation of changes, and predictive analysis, all powered by AI, to ensure optimal network performance and risk mitigation.
Summary
Overall, AI in NetBrain streamlines network management by providing powerful data analysis, automating processes, offering intelligent recommendations, and improving decision-making through continuous learning. This results in enhanced efficiency, reduced downtime, and a more proactive approach to network operations.