Debugging and monitoring of microservices is not a simple but a challenging problem. We have used the word challenging on purpose: there is no silver bullet for this. There is no single tool that you can install that works like magic. However, with Azure Diagnostics and Application Insights or with ELK stack or Splunk, you can come up with solutions that will help you solve microservice monitoring challenges. Implementing microservice monitoring strategies, such as application/system monitoring, real user monitoring, synthetic transactions, centralized logging, semantic logging block, and implementation of correlation ID throughout transactional HTTP requests, is a helpful way to monitor microservice implementations.
In the next chapter, we will see how we can scale microservices and the solutions and strategies around scaling microservice solutions.