Distributed Systems

Teams adopt microservices before understanding business domain, resulting in distributed transactions, data consistency issues, painful debugging, and unnecessary operational complexity that becomes a blocker for scalability rather than an enabler.

In complex distributed systems, identifying the root cause of performance issues requires correlating data across network latency, database queries, and third-party services. Without comprehensive monitoring and correlation tools, developers may spend hours or days troubleshooting issues that could be quickly resolved. Finding the right metric among massive data volumes is like 'looking for a needle in a haystack.'