Centralized Log Visualizer for 5G Cloud Network Troubleshooting
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Solution Overview
Problem
In cloud-based 5G data and telephone networks, diagnosing connectivity issues is challenging due to the vast number of interconnected infrastructure components and the lack of centralized inventory of cloud-provider resources, leading to time-consuming manual processes.
Innovation Solution
A system and process for monitoring network functions in a virtual private cloud (VPC) that includes generating logs for network activities, sending these logs to a centralized cloud account, transforming the data, and querying it to select relevant datasets, which are then output to a visualizer interface for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual flow log analysis is performed for each interface, then connectivity issues can be diagnosed, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent merges log data from multiple cloud accounts into a single centralized log destination. This consolidation allows operators to access and analyze logs from all accounts through a unified interface, eliminating the need to manually navigate between multiple accounts and significantly reducing diagnosis time while maintaining comprehensive monitoring coverage.
Solution Approach 2:
The patent introduces a centralized log destination as an intermediary between network functions in different cloud accounts and the operator's analysis system. This intermediary consolidates and forwards logs from multiple accounts, enabling efficient centralized analysis without requiring direct access to each individual account's resources.
2Difficulty of detecting and measuring
If operators access cloud-provider resources through multiple accounts, then network functions can be located, but the process becomes slow and complex
Solution Approach 1:
The patent merges the complexity of managing multiple cloud accounts into a single centralized access point. The log destination consolidates logs from all accounts, providing operators with a unified view of network functions across accounts without requiring them to navigate through individual account interfaces.
Solution Approach 2:
The patent segments network functions into distinct cloud accounts for isolation and security, while simultaneously providing a unified access mechanism through the centralized log destination. This allows operators to maintain account-level segmentation for resource management while accessing all segments through a single simplified interface.
3Difficulty of detecting and measuring
If static subnet mapping information is used to locate network functions, then location can be determined, but the process is slow and does not provide real-time inventory
Solution Approach 1:
The patent implements preliminary action by continuously collecting and storing log data from network functions in real-time. This proactive data collection ensures that when operators need to locate network functions, the information is already available in the centralized log destination, enabling instant queries without requiring operators to manually scan or wait for data to be generated.
Solution Approach 2:
The patent replaces manual mechanical processes (logging into multiple accounts, manually searching through interfaces) with automated digital systems. The centralized log destination provides programmatic access to network function information through automated log collection and storage, enabling rapid electronic queries instead of manual navigation and significantly increasing location speed.
Data Source
AI summary
A process for monitoring a 5G data and telephone network can include starting a first instance and a second instance of a network function in a virtual private cloud (VPC). The first instance uses a first user account, and the second instance uses a second user account. A first log includes entries associated with the first instance in response to activities of the first user account. A second log includes entries associated with the second instance in response to activities of the second user account. The first log and second log go to a log destination of a centralized cloud account. A data stream comprising transformed data from the log destination goes into a bucket associated with the centralized cloud account. A query selects a data set from the bucket that includes attributes associated with network activities of the first and second user accounts.