Silicon Valley Code Camp : October 5th and 6th 2013

Chris Richardson

Eventuate, Inc
About Chris
Chris Richardson is a developer and architect. He is a Java Champion, a JavaOne rock star and the author of POJOs in Action, which describes how to build enterprise Java applications with frameworks such as Spring and Hibernate. Chris was also the founder of the original, an early Java PaaS for Amazon EC2. Today, he is a recognized thought leader in microservices and speaks regularly at international conferences. Chris is the creator of, a pattern language for microservices, and is writing the book Microservice Patterns, which is available as a Manning MEAP. He provides microservices consulting and training to organizations that are adopting the microservice architecture and is working on his third startup Eventuate, an application platform for developing transactional microservices.
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Speaking Sessions

  • Developing polyglot persistence applications

    5:00 PM Saturday   Room: 5502
    NoSQL databases such as Redis, MongoDB and Cassandra are emerging as a compelling choice for many applications. They can simplify the persistence of complex data models and offer significantly better scalability and performance. However, using a NoSQL database means giving up the benefits of the relational model such as SQL, constraints and ACID transactions. For some applications, the solution is polyglot persistence: using SQL and NoSQL databases together. In this talk, you will learn about the benefits and drawbacks of polyglot persistence and how to design applications that use this approach. We will explore the architecture and implementation of an example application that uses MySQL as the system of record and Redis as a very high-performance database that handles queries from the front-end. You will learn about mechanisms for maintaining consistency across the various databases.

  • Consuming web services asynchronously with Futures and Rx Observables

    9:15 AM Sunday   Room: 8338
    A modular, polyglot architecture has many advantages but it also adds complexity since each incoming request typically fans out to multiple distributed services. For example, in an online store application the information on a product details page - description, price, recommendations, etc - comes from numerous services. To minimize response time and improve scalability, these services must be invoked concurrently. However, traditional concurrency mechanisms are low-level, painful to use and error-prone. In this talk you will learn about some powerful yet easy to use abstractions for consuming web services asynchronously. We will compare the various implementations of futures that are available in Java, Scala and JavaScript. You will learn how to use reactive observables, which are asynchronous data streams, to access web services from both Java and JavaScript. We will describe how these mechanisms let you write asynchronous code in a very straightforward, declarative fashion.