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Table of Contents
- Introduction
- Challenges in Network Management
- Introducing the AIML Solution from 40net
- Simplifying Technical Requirements
- Faster Issue Resolution
- Improving Network Performance and User Experience
- How 48 Jobs Helps in Network Management
- Data Collection and Analysis
- Toward Predictive Analysis
- The Vision of Fortinet's AI Ops Solution
- Expanding Monitoring Capabilities
- Dynamic Baselines for Accurate Analysis
- Integration with Fortinet Manager
- Workflow for Troubleshooting Wi-Fi Issues
- Future Developments: App Integration
- Conclusion
🔍 Article: Simplifying Network Management with AIML Solution from 40net
Managing network operations can be a complex and time-consuming task, especially when dealing with multiple products. The demands of monitoring and troubleshooting issues across wireless LANs (WLANs), wired networks, and SD-WANs can be overwhelming. In this article, we will explore the AIML (Artificial Intelligence and Machine Learning) solution offered by 40net to simplify network management and improve overall network performance.
Introduction
As a senior product manager at 40net, I understand the challenges faced by network administrators. With over 13 years of experience in network support, I know how difficult it is to analyze vast amounts of data and troubleshoot issues effectively. Often, users complain about slow internet or non-functioning wireless connections, making it even more challenging to identify the root cause and provide Timely solutions. Moreover, expertise in all areas, such as WLANs, switches, and SD-WANs, is hard to come by, making it difficult for administrators to address issues comprehensively.
Challenges in Network Management
In today's network environment, administrators need to Gather and analyze extensive data to ensure smooth operation. However, this process is time-consuming and requires specialized knowledge. This is where the AIML solution from 40net comes in, aiming to simplify network management by reducing technical requirements and accelerating issue resolution.
Introducing the AIML Solution from 40net
The AIML solution, called 48 Jobs, leverages the power of artificial intelligence and machine learning to streamline network management. It operates by collecting information from various devices, including firewalls, switches, and access points (APs), which are centrally managed through the 40 gate. By analyzing a wide range of logs and using the Fabric REST API and performance API, 48 Jobs can identify issues, improve network performance, and enhance the overall user experience.
To make the solution user-friendly, 48 Jobs is integrated into the 40 Manager, an on-premises extension module. However, the team is actively working on a Cloud solution to provide accessibility for both 40 Gate Cloud and 40 LAN Cloud users.
Simplifying Technical Requirements
One of the major advantages of 48 Jobs is its ability to reduce technical requirements. With this solution, there is no need for organizations to employ expert-level engineers or level 3 support to troubleshoot complex network issues. 48 Jobs enables administrators to resolve problems faster and identify the root cause more efficiently.
Faster Issue Resolution
Through its deep analysis of logs and utilization of APIs, 48 Jobs facilitates faster issue resolution. By understanding the network's behavior, 48 Jobs can suggest specific tweaks or changes to enhance network performance and address the identified issue. This streamlined approach not only saves time but also ensures quicker restoration of network services.
Improving Network Performance and User Experience
Ultimately, 48 Jobs aims to enhance network availability and improve the overall user experience. By reducing manual efforts and leveraging AI and ML technologies, administrators can proactively manage their networks. With improved network performance, organizations can provide users with faster internet speeds and more stable wireless connections.
How 48 Jobs Helps in Network Management
48 Jobs serves as a comprehensive network management solution. Its Core functionality revolves around data collection, analysis, and proactive management. By gathering Relevant information from various devices, 48 Jobs enables administrators to monitor network elements effectively. Through the use of AI and ML algorithms, the solution can provide valuable insights and suggest optimizations in real-time.
Data Collection and Analysis
To ensure accurate analysis, 48 Jobs collects an extensive range of data from devices managed by the 40 gate. This includes data from firewalls, APs, SD-WAN components, and switches, which are seamlessly integrated into the 40 Manager. By analyzing this wealth of data, 48 Jobs can identify Patterns, anomalies, and potential issues affecting network performance.
Toward Predictive Analysis
While 48 Jobs currently focuses on diagnostics and issue resolution, the long-term vision is to move toward predictive analysis. By leveraging the collected data and utilizing AI and ML algorithms, 48 Jobs aims to anticipate network problems before they occur. This will enable administrators to provide preventive measures and ensure a self-healing network environment.
The Vision of Fortinet's AI Ops Solution
Fortinet's AI Ops solution, embodied in 48 Jobs, envisions a comprehensive network management system. It consolidates data from various network components, including firewalls, APs, SD-WAN devices, and switches. These components communicate with each other, allowing administrators to gain a holistic view of the network and streamline operations.
Expanding Monitoring Capabilities
To cater to the diverse needs of network administrators, 48 Jobs provides various monitoring capabilities. Administra