Why distributed tracing is the key to resolving performance issues
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Modern applications are increasingly built using microservices, where hundreds of small, independent services work together to handle user requests. While this architecture brings scalability and flexibility, it also introduces significant complexity. When a service slows down, fails, or when pipelines take an excessive amount of time, pinpointing the root cause across a complex web of interactions can be extremely challenging. Tracing the journey of a single request through hundreds of microservices or diagnosing issues in intricate data pipelines becomes a daunting task.
Imagine a customer complains about slow checkout times in an e-commerce app, but with over 50+ microservices involved in the transaction, where should we start looking? It’s hard, isn’t it?
