But expanding to stock markets around the world introduced another challenge. As a U.S.-only business, ETrade's settlement platform could easily handle the flow of settlement activity after the markets closed and be ready well before the next day's batch of settlements came in. (Settlement involves moving the money and reconciling the changes in ownership, as well as preparing regulatory reports.) But with trades now occurring in multiple time zones, there wasn't enough time to handle all the settlements in the old window, Framke notes.
Framke's team solved that problem by using a few techniques. One was boosting server capacity to process batches faster, such as through supporting more parallel streams, so the U.S. and European batches would not overlap, yet still begin right after their market closes. But the Asian settlement window couldn't be finessed that way, so ETrade ended up storing the settlement data in its trading platform until a window later opened up. Framke calls this approach a "middle office" that keeps out of the way of both the back-office settlement processing and the front-office trade transaction processing. "It was really an operations challenge," he says.
This whitepaper explains the terminology and concepts behind Data Replication technologies and establishes some sizing rules through worked examples. Learn the new paradigm in disaster tolerance—protect data anywhere.
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The emergence of WLANs has created a new breed of security threats to enterprise networks.
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