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AWS and Ripple collaborate to accelerate XRPL monitoring with AI: log analysis efficiency improved by 100 times
【ChainNews】Interestingly, there is a new development in technological collaboration coming from the industry. AWS and Ripple are teaming up to explore the generative AI capabilities of Amazon Bedrock, aiming to improve the monitoring and analysis processes of the XRP Ledger network. The two companies plan to apply AI analysis to XRPL system logs, which could significantly shorten the time required to troubleshoot network issues.
Data shows that the effect of this optimization is quite substantial. Tasks that previously took days to complete, such as log analysis, can now be done in just 2 to 3 minutes. This is the internal assessment result from AWS engineers.
The reason behind this is also understandable—massive C++ log data generated by the XRPL global node network has long been a pain point for operations and maintenance. The accumulated logs make system monitoring and fault diagnosis inefficient. This collaboration essentially aims to use AI to tackle this tough problem, making XRPL network operations more flexible and faster. From this perspective, the integration of technology and application scenarios is quite closely aligned.