This is a continuation of a series of articles on crowdsourcing application and including the most recent article. The original problem statement is included again for context. 

Social engineering applications provide a wealth of information to the end-user, but the questions and answers received on it are always limited to just that – social circle. Advice solicited for personal circumstances is never appropriate for forums which can remain in public view. It is also difficult to find the right forums or audience where the responses can be obtained in a short time. When we want more opinions in a discrete manner without the knowledge of those who surround us, the options become fewer and fewer. In addition, crowd-sourcing the opinions for a personal topic is not easily available via applications. This document tries to envision an application to meet this requirement. 

The previous article continued the elaboration on the usage of the public cloud services for provisioning queue, document store and compute. It talked a bit about the messaging platform required to support this social-engineering application. The problems encountered with social engineering are well-defined and have precedence in various commercial applications. They are primarily about the feed for each user and the propagation of solicitations to the crowd. The previous article described selective fan out. When the clients wake up, they can request their state to be refreshed. This perfects the write update because the data does not need to be sent out. If the queue sends messages back to the clients, it is a fan-out process. The devices can choose to check-in at selective times and the server can be selective about which clients to update. Both methods work well in certain situations. The fan-out happens in both writing as well as loading. It can be made selective as well. The fan-out can be limited during both pull and push. Disabling the writes to all devices can significantly reduce the cost. Other devices can load these updates only when reading. It is also helpful to keep track of which clients are active over a period so that only those devices get preference.   

Any cloud service or application is not complete without manageability and reporting. The service/application can choose to offer a set of packaged queries available for the user to choose from a dropdown menu while internalizing all query processing, their execution, and the return of the results. One of the restrictions that comes with packaged queries exported via REST APIs is their ability to scale since they consume significant resources on the backend and continue to run for a long time. These restrictions cannot be relaxed without some reduction on their resource usage. The API must provide a way for consumers to launch several queries with trackers and they should be completed reliably even if they are done one by one.  This is facilitated with the help of a reference to the query and a progress indicator. The reference is merely an opaque identifier that only the system issues and uses to look up the status. The indicator could be another api that takes the reference and returns the status. It is relatively easy for the system to separate read-only status information from read-write operations so the number of times the status indicator is called has no degradation on the rest of the system. There is a clean separation of the status information part of the system which is usually periodically collected or pushed from the rest of the system. The separation of read-write from read-only also helps with their treatment differently. For example, it is possible to replace the technology for the read-only separately from the technology for read-write. Even the technology for read-only can be swapped from one to another for improvements on this side.

The design of all REST APIs generally follows a convention. This practice gives well recognized uri qualifier patterns, query parameters and methods. Exceptions, errors and logging are typically done with the best usage of http protocol.