Your company's online retail application is composed of various microservices. Lately, customers have been experiencing problems when checking out their purchases. To unearth the cause of these checkout failures, you employ a tracing tool provided by your cloud service provider. In inspecting the generated service map, you encounter an anomaly where there are increased faults between the payment processing module and the inventory module. What does this anomaly suggestive of, and what should be your first step in resolving the issue?
This situation suggests an overload on the inventory module due to increased customer demand. Allocating more resources to handle the higher load should resolve the checkout issues.
The anomaly on the service map represents recurrent interaction issues. Detailed analysis of the associated modules should be carried out, reviewing the error logs and performance metrics to identify the root cause.
An increase in faults typically indicates a temporary network glitch post-deployment. Monitoring the system for any persistent trends over a couple of days before taking further steps is advisable.
A visible anomaly likely means that the tracing process itself is impeding the application performance. Suspending the tracing tool to prevent it from further impacting the system could be beneficial.