【BitPush】Interesting news has arrived—the duo of AWS and Ripple is up to something. They plan to use Amazon Bedrock’s generative AI to rethink how to monitor and analyze the XRP Ledger network.
In simple terms, it’s about using AI to chew through the mountain of log data accumulated by XRPL. Previously, network issues required several days of investigation. Now, with AI intervention, it can be done in 2 to 3 minutes. Internal AWS engineers’ assessments show that the results are indeed impressive.
What is the real pain point behind this? The C++ logs generated by the XRPL global node network are exploding in volume, which has long become a nightmare for operations and maintenance. Now, with this AI analysis solution, the fault diagnosis process that used to take days can be greatly accelerated, which is of great significance for maintaining the stability of the XRPL network. It seems that the combination of big tech and blockchain networks can indeed produce some interesting chemical reactions in practical engineering problems.
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DoomCanister
· 01-08 13:38
A few days optimized to a few minutes? If that's true, it really works.
AI has truly become the savior of operations, hilarious.
Ripple has finally found the right people this time; AWS's tech stack is indeed solid.
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WalletDivorcer
· 01-08 13:37
From a few days to a few minutes, this efficiency improvement is a bit outrageous... But on the other hand, there aren't many projects that can be practically implemented.
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ApeWithAPlan
· 01-08 13:36
Wow, optimized from days to minutes? Now that's playing for real.
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SchrodingerAirdrop
· 01-08 13:36
How many days to optimize down to the minute? Now the XRPL operations team can work fewer overtime hours.
This combination is really powerful; AWS's AI tackles log piles, boosting efficiency so dramatically.
By the way, it would be even better if this solution were open source, so small chains could also use it.
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OPsychology
· 01-08 13:31
Reduced from several days to 2 minutes? How awesome is that? Finally, someone is using AI for serious matters.
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FallingLeaf
· 01-08 13:26
Wow, from several days to just a few minutes of optimization? This AI is really impressive.
AWS and Ripple are teaming up, it seems they are really desperate.
I believe the logs piling up into mountains, how much stress must the operations team be under...
Big tech companies are just different, is the blockchain savior here?
But how long this can be sustained is hard to say, it depends on what happens next.
Once AI is deployed, how many people will lose their jobs haha.
If this gets out, XRP will probably surge again...
Real problems combined with hardcore technology—that's the real deal.
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ProposalManiac
· 01-08 13:24
Diagnosing faults in two or three minutes? Sounds good, but the real question is—who decides how AI analyzes and prioritizes? Is the governance mechanism of this system well-designed?
AWS and Ripple team up to upgrade XRPL with AI: from days of optimization to minute-level processing
【BitPush】Interesting news has arrived—the duo of AWS and Ripple is up to something. They plan to use Amazon Bedrock’s generative AI to rethink how to monitor and analyze the XRP Ledger network.
In simple terms, it’s about using AI to chew through the mountain of log data accumulated by XRPL. Previously, network issues required several days of investigation. Now, with AI intervention, it can be done in 2 to 3 minutes. Internal AWS engineers’ assessments show that the results are indeed impressive.
What is the real pain point behind this? The C++ logs generated by the XRPL global node network are exploding in volume, which has long become a nightmare for operations and maintenance. Now, with this AI analysis solution, the fault diagnosis process that used to take days can be greatly accelerated, which is of great significance for maintaining the stability of the XRPL network. It seems that the combination of big tech and blockchain networks can indeed produce some interesting chemical reactions in practical engineering problems.