In the previous section, we looked at some common issues we face in microservice architecture. We will try to find out a solution pattern for them in this section.
Performance in microservice does not only depend on the code. It has to include issues such as network latency, message serialization/deserialization, dynamic loads within the application, and so on. This actually increases the scope of testing in terms of performance. The first step would be to increase the resources. Scale your application vertically, increase the server resources that will result in some performance gain, but adding more resources to the server cannot always help you. Adding load balance is another approach. You can add load balance in front and adding more server in backend to handle the scale. This should even be optimized when traffic is high and there is an increase in the number of servers. One observes the patterns with old data...