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Downstream Throttling in Oracle Integration Cloud via Parking Lot Pattern by Chelsea Zhang

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Background

Parking lot pattern is a mature design to store the data in an intermediate stage before processing the data from the intermediate stage to the end system based on the required rate. The detailed implementation of the parking lot pattern can be done in a variety of  storage technologies but strongly recommended a database table to be used for simplicity. In this blog, we will use the parking lot pattern in the Oracle Integration Cloud (OIC) to explore a solution in the downstream throttling.

Problem Definition

In OIC, the downstream throttling was often mentioned as there might be an influx of data that overwhelm the slower downstream systems. Even though, it might be accomplished by the tuning knobs within OIC and WebLogic Server, but when the built-in tuning cannot be adjusted enough capacity to stop flooding the slower system. The parking lot pattern will enable to provide a solution to attend to this scenario.

Design Solution

  1. Process the input data/message based on the order they come in
  2. Each message will be parked in the storage for x minutes (parking time) so the system has a chance to throttle the number of messages processed concurrently. Read the complete article here.

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