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Design Patterns for Data Movement | QCon NY 2014

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Published on Sep 19, 2014

In this presentation, Solace systems engineer Ken Overton described popular data movement design patterns, discussed the myriad of deployment considerations that impact manageability and high availability, and illustrated the impact of such decisions with real world examples.

There is no “best” way to distribute data within applications. If you ask an experienced architect for advice you’ll get a litany of followup questions before they’re willing to make recommendations: LAN or WAN? Large blocks of data or small? How many updates per second? They’ll also want to know how “real-time” you need it to be (i.e. what kind of latency you can tolerate), how many recipients each update needs to go to and what level of delivery or transaction guarantee you need. They’ll want to understand your network environment – private, public, cloud, etc. – and any requirements related to archival, regulatory compliance, uptime and disaster recovery. Each of those factors affects the protocols you may choose and manner of implementation decisions.

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