Enterprise Integration for Ethereum

  • Ethereum has an order of magnitude more active developers than any other blockchain platform and as dictated by the Metcalfe’s law, this gap widens day by the day. Ethereum coding school CryptoZombies has over 200K users, Truffle development framework has over half a million downloads.
  • The Ethereum platform has the richest tools and infrastructure ecosystem for building decentralized applications: Truffle, Infura, Web3.js, OpenZeppelin, Geth, Parity, Ganache, MetaMask, CryptoZombies, MyCrypto, Etherscan, ERC20 (for ICOs), etc.
  • The cloud platforms Amazon Web Services and Microsoft Azure offer services for one-click Ethereum infrastructure deployment and management.
  • The Ethereum technology has the interest of enterprise software companies. Customized Ethereum-based applications are being developed and experimented by financial institutions such as JPMorgan Chase, Deloitte, R3, Innovate UK, Barclays, UBS, Credit Suisse and many others. One of the best known in this area is the J. P. Morgan Chase developed permissioned of Ethereum blockchain called Quorum.
  • In 2017, Enterprise Ethereum Alliance (EEA) was setup up by various blockchain start-ups, Fortune 500 companies, research groups and others with the aim to help adoption of Ethereum based technology. It provides standards, resources for businesses to learn about Ethereum and leverage this groundbreaking technology to address specific industry use cases.

Open Source Enterprise Integration

Ethereum is distributed and decentralized, but it is mostly a closed system with the embedded ledger, the currency, and the executing nodes. In order to be useful for the enterprise, Ethereum has to be well integrated with existing legacy and new systems. Luckily, Ethereum offers a robust and lightweight JSON-RPC API with a good support for the JavaScript language. But in the enterprise companies, JavaScript is not the primary choice for integration, it is rather Java followed by .Net. Java is not necessary lightweight or fast evolving, but it has a huge developer community and a mature library ecosystem making it the top choice for the majority of enterprise companies. The main factor contributing to the productivity of the Java language is the reuse of existing libraries and avoiding reinventing the wheel. One of the most popular libraries enabling reuse and avoiding reinventing the wheel for integration is Apache Camel. Luckily, Camel happens to be my passion and a project I have been contributing for many years, so connecting the two was the most natural thing for me to do.

Building blocks of Apache Camel
  • Implementations of the widely used Enterprise Integration Patterns (EIPs). (Notice this is not Ethereum Improvement Proposal that shares the same acronym.) EIPs provide a common notation, language and definition of the concepts in the enterprise integration space (think of publish-subscribe, dead letter channel, content-based router, filter, splitter, aggregator, throttler, retry, circuit breaker, etc.). Some of these patterns have been around for over a decade and some are new, but they are well known by anyone doing messaging and distributed system integration for a living.
  • The second major part of Apache Camel is the huge connectors library. Basically, as long as there is a Java library for a protocol, system endpoint, SaaS API, most likely there is a Camel connector for it (think of HTTP, JMS, SOAP, REST, AWS SQS, DropBox, Twitter, and now Ethereum, etc). Connectors abstract away the complexity of configuring the different libraries and provide a unified URI based approach for connecting to all kind of systems.
  • And the last piece of Apache Camel is the Domain Specific Language (DSL) that wires together connectors and EIPs in a higher level integration focused language. The DSL, combined with connectors and patterns makes developers highly productive in connecting systems and creates solutions that are industry standard and easier to maintain for long periods. All these are characteristics that are important for enterprise companies looking to create modern solutions based on mature technology.

Apache Camel Connector for Ethereum

The natural intersection of the two technologies is a Camel connector for Ethereum. Such a connector would allow integrating Ethereum with any other system, interaction style, and protocol. For that purpose, I evaluated the existing Java libraries for Ethereum and came to the conclusion that web3j is the right fit for this use case. Web3j is an actively developed, feature rich, Java library for interacting with Ethereum compatibles nodes over JSON-RPC. Camel-web3j connector (the technical name for the Camel Ethereum connector) is a thin wrapper that gives an easy way to use the capabilities offered by web3j from Apache Camel DSL. Currently, the connector offers the following features:

Ethereum compatible JSON-RPC APIs

Use Cases for Apache Camel

Bellow is the Enterprise Ethereum Architecture Stack (EEAS) which represents a conceptual framework of the common layers and components of an Enterprise Ethereum (EE) application according to the client specification v1.0.

Enterprise Ethereum Architecture Stack
  • Listen for new blocks, events, happening in the Ethereum network, filter, transform, enrich and publish them into other systems. For example listen for new blocks, retrieving its transactions, filter out uninteresting ones, enriching others, and process them. That can be done using Ethereum node filters capabilities, or purely with Camel, using polling consumers to query a node periodically and idempotent filters to prevent processing previously processed blocks, etc.
  • The other use case would be, to listen for events and commands coming from an enterprise system (maybe a step in the business process) and then tell the Ethereum network about it. For example, a KYC is approved or payment is received in one system, which causes Camel to talk to the second system and retrieve a user’s ERC20 address and perform an Ethereum transaction.

An Ethereum Oracle Implemented in Apache Camel

“Talk is cheap. Show me the code.” — Linus Torvalds

mvn test -Dtest=CamelOracleRouteTest#updateBTCCap
mvn test -Dtest=CamelOracleRouteTest#getBTCCap



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Bilgin Ibryam

Bilgin Ibryam


Author of Kubernetes Patterns | Technical Product Manager @RedHat for @Debezium & Data Integration | Committer @ApacheCamel