Tracing and debugging microservices is one of the biggest challenges this popular software development architecture comes with - probably the most difficult one. Due to the distributed architecture, it's not as straightforward as debugging traditional monolithic applications. Instead of using direct debugging methods, you'll need to rely on logging and monitoring tools, coding practices, specific databases, and other indirect solutions to successfully debug microservices.
This is the second blog in our deep dive series on serverless architectures. In the first installment, we explored the benefits and trade-offs of microservices and serverless architectures, highlighting the case of Amazon Prime Video's architectural redesign for cost optimization.
If you are a SaaS provider making an application that deals with, say, a health registry or some personal information of the public, you realize how crucial it is to maintain their confidentiality. It is these situations that demand a previous encryption of data followed by a prompt tracing mechanism that finds out the faults right at the moment or prior to its occurrence. And what better way to keep track of your application than tracing?
In microservices architectures, apps are broken down into small, independent services that communicate with each other using APIs in a synchronous or asynchronous way.