Stream Processing for Blockchain Data

The blog post explores the integration of Web3 technologies and real-time stream processing through the analysis of Ethereum's blockchain transaction gas fees using DeltaStream. It describes the creation of a streaming analytics application that leverages Ethereum transaction data from Infura.io to provide insights into setting priority fees for transactions. Utilizing DeltaStream and Kafka, the application processes and filters transaction data to analyze priority fees, which are crucial for determining the likelihood of a transaction being selected by validators. The post outlines a method for continuously monitoring these fees and demonstrates how to set up a pipeline that calculates statistics such as average, minimum, and maximum priority fees over time. This approach helps users make informed decisions about setting appropriate fees based on urgency and cost considerations, while also showcasing the potential for further applications like pattern recognition in transaction fees.