What can an analyst do to solve the problem of microservice overload (besides scaling, which is handled by DevOps)?

An analyst can help solve microservice overload problems in the following ways (excluding scaling):

• Optimizing business logic and queries: The analyst can identify inefficient or redundant queries to the microservice, suggest their optimization or reduction of call frequency.

• Load analysis and redistribution: Identify load peaks and suggest redistributing tasks among microservices or changing the schedule of task execution.

• Caching: Propose implementing caching at the query or data level to reduce the number of requests to the microservice.

• Improving user experience: The analyst can suggest changes in the interface or processes to reduce the number of requests or their intensity.

• Data analysis and filtering: Suggest filtering or aggregating data on the client side or intermediate services to reduce the volume of transmitted data.

• Monitoring and alerting: Set up metrics and notifications to respond promptly to overloads and identify causes.

Thus, the analyst helps understand the causes of overloads and proposes changes in business processes, logic, and component interactions, which reduces the load without direct infrastructure scaling.