Ripple is testing a possible partnership with Amazon Web Services (AWS) that could improve the speed and scalability of the XRP Ledger (XRPL). The company is reportedly exploring Amazon Bedrock, AWS’s AI platform, to better analyze and manage XRPL data. If implemented, this could make the network more efficient as activity continues to grow.
Ripple is looking at using Amazon Bedrock to analyze XRPL system logs and performance data. The XRP Ledger handles fast and low-cost transactions at high volume, which creates a large amount of system data. Today, engineers often spend two to three days manually reviewing these logs to spot issues.
With AI-based analysis, Ripple aims to cut this process down to just a few minutes. Early testing suggests that work which once took days could be completed in two to three minutes. This would allow faster problem detection, better system monitoring, and smoother network operations as XRPL scales.
The idea was recently shared during a conference presentation by an AWS solutions architect, who highlighted the need for automated data analysis as blockchain networks become more active and complex.
This AWS testing comes as the XRP Ledger continues to see major technical improvements. In December 2022, Ripple released an update that improved network reliability and added features to support DeFi use cases. Since then, XRPL has introduced native lending tools and other upgrades aimed at making XRP and RLUSD easier for developers and institutions to use.
Programmability on XRPL has also progressed. In September, Ripple upgraded its Smart Escrow Devnet, sparking discussion around more advanced smart contract features. These developments are closely linked to tokenized real-world assets, including funds similar to BlackRock’s BUIDL product.
On-chain data points to steady growth across the XRPL ecosystem. CryptoQuant data shows that liquidity on XRPL’s decentralized exchange has reached around $173 billion, indicating rising usage and deeper market activity.
In October, XRPL launched the Multi-Purpose Token (MPT) standard. This upgrade makes it easier to issue real-world assets on-chain by reducing the need for complex smart contracts. The goal is to offer a simpler and more compliant framework for regulated asset tokenization.
Reactions on X show a mix of frustration and doubt over XRP’s price performance despite ongoing progress. Some users argue that similar developments around Ethereum would have led to a strong price rally, while XRP continues to lag.
The discussion often turns to claims of price suppression and broader market structure issues. Many XRP supporters believe the project’s fundamentals are being overlooked, leading to growing frustration over what they see as a disconnect between progress and price.
Amazon Bedrock could automate XRPL log analysis, reducing issue detection from days to minutes and improving network speed and scalability.
Ripple aims to replace slow manual log reviews with AI analysis, enabling quicker monitoring, faster fixes, and smoother XRPL operations.
It strengthens XRPL’s long-term fundamentals, but short-term XRP price action still depends on broader market sentiment and demand trends.
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