Improving the performance of Oracle Integration flows that use REST calls by Nick Montoya
Blog: PaaS Community
Oracle Integration connects disparate SaaS and on-premises applications to help businesses move faster. This interaction between Oracle Integration Cloud (OIC) and Oracle SaaS (or on-premise) applications needs to be carefully designed and planned for performance and scalability. Overloaded integration flows may run within acceptable timeframes during design phase. They may even pass User Acceptance Testing especially if testers are just going through functional testing. However, when testing for performance and scalability, problems may arise. It is imperative to design solutions that would meet expected peak volumes at runtime. This blog will provide some helpful pointers that you could use to make your solutions achieve better performance and scalability.
Identify Peak Volume Profile and test downstream systems
When designing an Oracle Integration solution for Performance and Scalability, it is very important to identify the peak-hour and peak-day volume. Knowing how many integrations will be running at peak hour will not only help you size your Production OIC environment accordingly, but also, it will help in the testing of your downstream (from OIC point of view) systems.
Testing of downstream systems with expected volumes early in the implementation cycle will help you validate a scalable implementation and/or identify performance bottlenecks in your design. If these outbound calls take longer than a few seconds, then there is plenty of design work to do. Longer synchronous calls to outbound systems may cause OIC to wait for these calls to finish and it may block other processes from running in OIC. Therefore, end users may experience longer response times. Below, you can find several areas where you could explore to help improve the performance of your integration flows that use REST calls. Read the complete article here
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