The main disadvantage of microservices is the operational complexity of managing many small, independently deployed services instead of one deployable unit.
Key Points: • Deployment, testing, and monitoring all become harder when a system is split across dozens of independently versioned services. • Debugging a single business flow can require correlating logs and traces across multiple services instead of stepping through one codebase. • Network calls between services introduce latency and failure modes, such as timeouts and partial failures, that don't exist inside a monolith's method calls. • Container orchestration platforms like Kubernetes address deployment and scaling complexity by automating rollout, healing, and resource management. • CI/CD pipelines automate build, test, and deployment per service, and centralized logging/monitoring tools (ELK, Prometheus, Grafana) give visibility across the whole fleet of services.
Example: A team that split a monolith into fifteen services found that a single customer-facing bug now required checking logs across four different services; adopting centralized logging with the ELK stack and distributed tracing made root-causing that class of bug practical again.
Interview Tip: A concise interview answer is:
"The biggest downside of microservices is operational complexity, more moving parts to deploy, test, and monitor, and cross-service debugging that's harder than debugging a single codebase. I address that with Kubernetes for orchestration, CI/CD pipelines for automated per-service delivery, and centralized logging and tracing so a distributed failure is still easy to diagnose."