Category: Advanced (300)

Part 1 of this series covers the high-level architecture of a Centralized Exchange (CEX) and Market Maker (MM) and networking integration patterns. This post builds on that foundation by focusing on EC2 compute optimization. In this post you will learn how to Reduce tail latency by up to 29% at p99.9 by selecting the right […]

Tokenization, the representation of ownership or claims on real-world assets and securities as digital tokens on distributed ledgers, is modernizing how financial institutions handle settlement and asset transfer. The token itself is not the asset, but a digitally native representation deriving enforceability from legal frameworks, issuance models, and smart contract logic. Tokenization doesn’t replace existing […]

In this post, we show how BSVA used AWS services to build a distributed node architecture that achieves 1 million TPS across six Regions. This solution demonstrates how organizations can implement cloud infrastructure to solve complex blockchain scaling challenges while maintaining system integrity.

At Circle, we operate scores of nodes across dozens of blockchains in order to provide reliable RPC services supporting products such as USDC, Cross-Chain Transfer Protocol (CCTP), Circle Payments Network (CPN), and others. Circle is a global financial technology firm that enables businesses of all sizes to harness the power of digital currencies and public blockchains for payments, commerce, and financial applications worldwide. In this post, we share details about how we operate Circle’s blockchain node infrastructure at scale, using AWS services, common off-the-shelf tools, and some custom tooling.

Recent security incidents across blockchain and broader IT sectors underscore the persistent risk of sophisticated attacks on software supply chains and build environments. Reproducible builds offer a powerful mitigation strategy by making sure that software compiled from the same source code and dependencies consistently produces identical binaries, making it possible to detect tampering. In this […]

Digital assets is a rapidly maturing set of asset class, and customers are choosing AWS to build exchanges and trading platforms to differentiate their offerings across this dynamic and growing industry. In this multi part series, we explore the world of centralized exchange (CEX) and market maker (MM) infrastructure on AWS. In Part 1, we […]

Stablecoins offer significant advantages in the crypto space. They provide price stability and can serve as a reliable medium of exchange, store of value, or bridge between the fiat and crypto ecosystems. The ability to transfer stablecoins across multiple blockchains further enhances their utility by improving cross-chain interoperability and letting users take advantage of the […]

As Web3 and generative AI technologies continue to rapidly evolve, a new category of applications known as crypto AI agents has emerged. These agents use large language models (LLMs) for their intelligence to accomplish a variety of blockchain-related tasks through a supervisor-collaborator architecture. A supervisor agent orchestrates specialized collaborator agents to analyze blockchain data, identify […]

In Part 1 of this series, we introduced the concept of using a decentralized autonomous organization (DAO) to govern the lifecycle of an AI model, focusing on the ingestion of training data. In Part 2, we created and deployed a minimalistic smart contract on the Ethereum Sepolia using Remix and MetaMask, establishing a mechanism to govern which training data can be uploaded to the knowledge base and by whom. In Part 3, we set up Amazon API Gateway and deployed AWS Lambda functions to copy data from InterPlanetary File System (IPFS) to Amazon Simple Storage Service (Amazon S3) and start a knowledge base ingestion job, creating a seamless data flow from IPFS to the knowledge base. In this post, we demonstrate how to configure MetaMask authentication, create a frontend interface, and test the solution.

In Part 1 of this series, we introduced the concept of using a decentralized autonomous organization (DAO) to govern the lifecycle of an AI model, focusing on the ingestion of training data. In Part 2, we created and deployed a minimalistic smart contract on the Ethereum Sepolia testnet using Remix and MetaMask, establishing a mechanism to govern which training data can be uploaded to the knowledge base and by whom. In this post, we set up Amazon API Gateway and deploy AWS Lambda functions to copy data from InterPlanetary File System (IPFS) to Amazon Simple Storage Service (Amazon S3) and start a knowledge base ingestion job.