Category: Technical How-to

In the post Establishing verifiable security: Reproducible builds and AWS Nitro Enclaves, we introduced deterministic and reproducible builds, highlighting their critical role in securing the software supply chain. We also explored how software reproducibility connects to remote attestation, demonstrating how AWS Nitro Enclaves enable decentralized remote verification of runtime and software integrity using cryptographic attestation. […]

In this post, we explain how blockchain-based digital asset payment systems can reduce costs and delays. We demonstrate how to build a serverless payment system on AWS, using stablecoins such as USDC, PYUSD, or USDG as an example. This solution creates a low-cost, scalable, and decentralized alternative to legacy payment methods. The implementation is available in our GitHub repository.

Solana Agave v2.0.14 was released on October 18, 2024. Since then, operators of Solana nodes reported that occasionally their Solana nodes struggle to stay in sync with the latest slots on mainnet-beta. Searching for “catch up” on Solana’s StackExchange reveals numerous discussions of this challenge. In an earlier post, we explained how to run Solana […]

Syncing an Ethereum node can be a time-consuming and costly process if not well optimized, with the need to find the right balance between speed and security. Compute requirements are different between the initial synchronization phase with the network and the steady-state phase where the node only needs to process new blocks (for additional details, refer to Synchronization modes in the Ethereum documentation). This challenge can be addressed by using different types of Amazon EC2 instances corresponding to your requirements. In this post, we demonstrate how to use the latest generation of storage optimized EC2 instances during the synchronization process, and switch back to right-sized memory optimized instances for the run phase to minimize cost.

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.