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Pros: excellent real time capabilities (< 1s); ability to run the same code online and offline. Cons: takes competes with AMI resources (monitoring nodes) away from AMI; requires setting up the shared memory servers on the DAQ side.

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This method allows to run the analysis by reading the detector data from a fast, dedicated storage layer (FFB), called fast feedback, dedicated to the running experiment. Any framework which can XTC files can be adopted to run as fast feedback application. The most common framework used with this method is psana.

Pros: trivial to setup; independent from the DAQ; ability to run the same code online and offline. Cons: not quite real time (< 10s); may compete with the translator if the translation services are run against the FFB storage layer.