Streaming in a World of Legacy Applications

There are common themes when people describe their reasons for rearchitecting legacy business applications, at a technical level: Speed & Scalability. At a business level: The need to gain new insights flowing from an increasing stream of data. These legacy applications commonly centre around some central datastore such as a relational database. Moving away from this architecture requires massive migration effort. The costs and risks associated with such an effort can sometimes be prohibitive for business owners, you can’t just rip out your relational database.    

A lower risk, gradual transition to a target architecture often wins the day.  It turns out that Streaming, Caching & CDC technologies are vital tools for this journey. CDC (Change Data Capture) can turn your legacy data stores into streaming sources. Modern caching technologies can host data in a way that provides speed and scalability, and finally streaming acts as the glue that can drive new uses cases as well as bridging the old.    

By the end of this talk, you’ll understand how to employ these technologies (with concrete examples and demos) over a legacy architecture and also be able to reason about the trade-offs involved.


David Brimley

Distributed Systems Consultant @Hazelcast

David Brimley is a consultant to Investment Banks and Software Companies.  David has travelled the world, helping people make sense of distributed systems architecture. With 30 years in the IT industry, primarily in investment banking IT as a developer and architect. David has a deep...

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Vladimir Schreiner

Product Manager @Hazelcast

Vladimir is a technical product manager for Hazelcast, with an engineering background (Master’s degree in Computer science) and deep expertise in stream processing and real-time data pipelines. Vladimir joined Hazelcast in 2016 and he is the product guy behind the Hazelcast Jet streaming...

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