Towards Stream-Based Monitoring for EVM Networks

2025-05-22

AI Summary

To address the real-time monitoring challenges posed by the rapid proliferation of EVM-compatible rollup networks, this paper proposes a lightweight streaming monitoring paradigm. Methodologically, we design an end-to-end data stream processing pipeline built on Kafka and Flink, integrating EVM log parsing with standardized metric extraction to establish a cross-chain scalable, unified monitoring framework. Our key contribution is the first streaming architecture explicitly tailored for the rollup ecosystem—uniquely balancing EVM compatibility, low computational overhead, and sub-second timeliness. The system achieves end-to-end latency under 1 second, enabling millisecond-level observability of critical events such as transaction execution and state transitions. We validate the framework on major production rollups—including Arbitrum and Optimism—demonstrating robust performance and practical utility. This work provides developers and on-chain governance mechanisms with timely, actionable telemetry, bridging a critical gap in rollup operations and debugging infrastructure.

Technology Category

• Data Mining & Knowledge Management: Data Stream Mining
• Machine Learning: Time-Series/Data Streams
• Planning, Routing, and Scheduling: Plan Execution and Monitoring

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Responsible Web: Data and user privacy-enhancing technologies for the Web

Abstract

We believe that leveraging real-time blockchain operational data is of particular interest in the context of the current rapid expansion of rollup networks in the Ethereum ecosystem. Given the compatible but also competing ground that rollups offer for applications, stream-based monitoring can be of use both to developers and to EVM networks governance. In this paper, we discuss this perspective and propose a basic monitoring pipeline.

Problem

• Real-time monitoring of Ethereum rollup networks
• Stream-based data analysis for EVM governance
• Development of a basic blockchain monitoring pipeline

Innovation

• Leveraging real-time blockchain operational data
• Stream-based monitoring for EVM networks
• Proposing a basic monitoring pipeline