Intelligent request control for rest service
Techniques for intelligent service request control in an information processing system are provided. For example, a method comprises the following steps. In response to a failure of a request sent to a given service, data relating to one or more previous requests sent to the given service is analyzed. A recovery recommendation is generated based on the analyzing step and one or more factors, the recovery recommendation comprising a retry methodology to resend the request to the given service.
1. A system, comprising:
at least one processing device comprising a processor operatively coupled to a memory, wherein the at least one processing device is configured to:
in response to a failure of a request sent to a given service, analyze data relating to one or more previous requests sent to the given service; and
generate a recovery recommendation based on the analysis and one or more factors, the recovery recommendation comprising a retry methodology to resend the request to the given service.
2. The system of claim 1 , wherein the one or more factors comprise at least one of a time of the failure of the request; a type of the failure of the request, a criticality of the service, and a resource usage associated with the service.
3. The system of claim 2 , wherein when the given service is identified as one of a time-out type service and a batch type service.
4. The system of claim 3 , wherein, when the service is a time-out type service, the retry methodology is configured to selectively operate in a fast fail optimized mode or a non-fast fail optimized mode.
5. The system of claim 4 , wherein, when the given service is a non-critical service, the retry methodology is configured to operate in the fast fail optimized mode.
6. The system of claim 4 , wherein, when the given service is a critical service, the retry methodology is configured to operate in the non-fast fail optimized mode.
7. The system of claim 3 , wherein, when the service is a batch type service, the retry methodology is configured to operate in a batch optimized mode.
8. The system of claim 1 , wherein the data relating to one or more previous requests sent to the given service used in the analysis further comprises data indicative of one or more patterns of success or failure associated with the one or more previous requests sent to the given service.
9. The system of claim 1 , wherein the given service is a REST API service.
10. A method, comprising:
in response to a failure of a request sent to a given service, analyzing data relating to one or more previous requests sent to the given service; and
generating a recovery recommendation based on the analyzing step and one or more factors, the recovery recommendation comprising a retry methodology to resend the request to the given service;
wherein the steps are performed by at least one processing device comprising a processor operatively coupled to a memory.
11. The method of claim 10 , wherein the one or more factors comprise at least one of a time of the failure of the request; a type of the failure of the request, a criticality of the service, and a resource usage associated with the service.
12. The method of claim 11 , wherein when the given service is identified as one of a time-out type service and a batch type service.
13. The method of claim 12 , wherein, when the service is a time-out type service, the retry methodology is configured to selectively operate in a fast fail optimized mode or a non-fast fail optimized mode.
14. The method of claim 13 , wherein, when the given service is a non-critical service, the retry methodology is configured to operate in the fast fail optimized mode.
15. The method of claim 13 , wherein, when the given service is a critical service, the retry methodology is configured to operate in the non-fast fail optimized mode.
16. The method of claim 12 , wherein, when the service is a batch type service, the retry methodology is configured to operate in a batch optimized mode.
17. The method of claim 10 , wherein the data relating to one or more previous requests sent to the given service used in the analysis further comprises data indicative of one or more patterns of success or failure associated with the one or more previous requests sent to the given service.
18. The method of claim 10 , wherein the given service is a REST API service.
19. An article of manufacture comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes said at least one processing device to perform steps of:
in response to a failure of a request sent to a given service, analyzing data relating to one or more previous requests sent to the given service; and
generating a recovery recommendation based on the analyzing step and one or more factors, the recovery recommendation comprising a retry methodology to resend the request to the given service.
20. The article of claim 19 , wherein the one or more factors comprise at least one of a time of the failure of the request; a type of the failure of the request, a criticality of the service, and a resource usage associated with the service.