May 7, 2014 · 7:00 PM
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Brandwatch is a world-leading social media monitoring tool. We find, process and store nearly 50M mentions from the Web every day from our crawlers. As the amount of data we find continually increases, the harder it becomes to separate the signals from the noise for our customers.
Over the last year, we have been building, experimenting with, and scaling a distributed cluster of JVMs that process the data from our client’s queries and detect important mentions and spikes in activity. We used Apache Kafka, ZooKeeper, Curator and Spring to achieve this.
This talk explains the architecture that we built, how it performs, scales and some of the difficulties we’ve faced along the way. We’ve learned a lot in the process, and we hope that now you can learn from us too.
Doors open at 7pm. Brandwatch will be providing pizza, beer and soft drinks. Please sign-up to let us know that you're coming.