Migrating a monolithic application to a microservices architecture can inadvertently result in a distributed monolith, where the application appears to be a microservice but retains the inefficiencies of a monolith. This anti-pattern can lead to slow service startups, cascading failures, and the necessity of redeploying the entire application for minor changes, thus negating the benefits of microservices such as scalability and resource efficiency. Key issues indicating a distributed monolith include tightly coupled services, poor scalability, and excessive inter-service communication. To identify and address these issues, Chaos Engineering can be employed to test an application's resilience by intentionally causing failures and observing their impacts. By doing so, developers can pinpoint areas of tight coupling, inefficient scaling, and communication bottlenecks, allowing them to implement solutions such as domain-driven design, asynchronous processing, and message queues to better align with microservice principles and enhance application reliability.